聚烯烃绘图逻辑，舍弃方差最大的模型
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liurui
parent
dbe9c17a58
commit
c670c7a7eb
@ -220,7 +220,7 @@ is_update_eta = False # 预测结果上传到eta
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is_update_report = False # 是否上传报告
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# 数据截取日期
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end_time = '' # 数据截取日期
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end_time = '2024-11-01' # 数据截取日期
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delweekenday = True
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is_corr = False # 特征是否参与滞后领先提升相关系数
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add_kdj = False # 是否添加kdj指标
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@ -1 +1 @@
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NLinear,RNN,TiDE,LSTM,DilatedRNN
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NLinear,RNN,TiDE,TSMixer,PatchTST
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Load Diff
@ -1,206 +1,206 @@
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ds,NHITS,Informer,LSTM,iTransformer,TSMixer,TSMixerx,PatchTST,RNN,GRU,TCN,BiTCN,DilatedRNN,MLP,DLinear,NLinear,TFT,StemGNN,MLPMultivariate,TiDE,DeepNPTS,y
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2024-01-29,7327.54,7371.29,7327.98,7384.88,7303.02,7287.33,7292.89,7315.12,7343.6,7448.81,7326.19,7305.51,7323.52,7296.29,7310.33,7284.56,7305.08,7307.85,7296.64,7296.58,7305.0
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2024-01-30,7323.87,7345.87,7337.31,7389.43,7298.24,7304.34,7293.09,7323.49,7353.22,7449.26,7332.46,7312.26,7328.59,7281.35,7304.5,7300.72,7302.7,7318.95,7297.0,7304.78,7315.0
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2024-01-31,7324.15,7346.47,7344.21,7380.46,7308.31,7304.1,7294.49,7331.7,7359.12,7457.24,7342.73,7323.04,7320.56,7292.95,7297.57,7318.6,7301.14,7334.67,7303.24,7314.47,7302.5
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2024-02-01,7310.36,7350.73,7330.01,7368.2,7301.07,7305.61,7286.25,7318.49,7346.67,7454.66,7335.99,7307.86,7320.18,7289.85,7286.74,7300.7,7300.0,7329.82,7302.62,7301.44,7275.0
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2024-02-02,7293.69,7327.78,7309.33,7373.02,7273.72,7281.96,7266.09,7301.23,7324.77,7439.28,7308.17,7276.55,7291.01,7277.53,7261.4,7276.11,7297.48,7296.47,7281.35,7281.49,7242.5
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2024-02-04,7254.43,7283.66,7289.7,7339.78,7239.73,7246.94,7231.94,7275.87,7300.41,7419.08,7273.83,7247.99,7247.88,7248.6,7243.9,7245.49,7293.53,7245.1,7250.1,7275.04,7240.0
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2024-02-05,7250.29,7259.14,7291.3,7286.88,7225.65,7210.31,7228.4,7274.82,7302.66,7410.31,7243.09,7250.31,7235.75,7227.82,7230.87,7230.15,7289.29,7232.53,7231.23,7243.13,7227.5
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2024-02-06,7238.12,7245.94,7284.38,7245.93,7214.97,7191.32,7208.56,7264.12,7290.83,7402.4,7214.51,7247.19,7215.73,7210.97,7213.27,7208.05,7284.47,7215.47,7216.57,7240.12,7246.67
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2024-02-07,7250.07,7249.58,7298.53,7246.31,7225.56,7233.26,7233.51,7282.69,7310.77,7411.92,7197.42,7269.31,7226.51,7226.73,7229.02,7225.51,7280.56,7230.76,7231.61,7227.76,7255.0
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2024-02-08,7255.89,7238.05,7302.06,7239.05,7240.02,7246.68,7249.72,7290.17,7314.03,7416.26,7187.06,7274.24,7236.22,7231.46,7251.08,7240.22,7277.06,7237.26,7253.37,7246.68,7270.0
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2024-02-18,7255.75,7235.38,7313.8,7233.69,7255.69,7255.58,7265.83,7300.25,7328.57,7421.75,7188.82,7284.88,7247.14,7230.47,7268.08,7275.0,7274.52,7246.07,7273.11,7254.99,7336.67
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2024-02-19,7328.24,7286.07,7381.02,7275.31,7308.41,7310.31,7327.43,7366.18,7388.41,7447.08,7280.03,7355.52,7284.43,7281.5,7344.23,7354.4,7273.63,7291.66,7323.83,7270.38,7350.0
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2024-02-20,7340.94,7314.03,7381.57,7320.35,7338.18,7366.51,7341.79,7363.28,7388.78,7459.81,7353.13,7385.1,7303.85,7305.54,7355.22,7374.68,7273.2,7317.23,7334.72,7315.85,7335.0
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2024-02-21,7328.09,7291.25,7364.24,7319.25,7332.97,7412.64,7331.43,7349.38,7375.82,7465.63,7385.73,7387.23,7307.38,7333.67,7337.79,7342.36,7272.39,7318.1,7325.39,7314.47,7297.5
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2024-02-22,7287.87,7267.14,7325.02,7277.25,7305.41,7391.88,7303.83,7321.02,7340.78,7453.1,7382.02,7339.71,7294.56,7318.52,7298.75,7277.44,7270.51,7301.04,7291.38,7276.98,7285.0
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2024-02-23,7274.4,7269.57,7318.81,7248.73,7289.09,7370.73,7297.79,7303.7,7335.42,7444.23,7366.25,7323.17,7289.08,7303.61,7282.35,7266.32,7268.19,7293.09,7280.01,7282.8,7306.67
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2024-02-26,7317.08,7264.94,7337.71,7258.44,7297.69,7360.07,7324.84,7325.02,7354.15,7444.26,7362.54,7327.9,7317.03,7295.98,7301.97,7291.58,7266.69,7302.36,7294.47,7344.75,7292.5
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2024-02-27,7324.86,7265.31,7320.64,7250.01,7294.19,7304.11,7298.21,7308.62,7337.19,7439.27,7344.69,7310.37,7318.04,7292.7,7282.65,7268.99,7265.18,7294.64,7286.29,7335.9,7306.67
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2024-02-28,7350.44,7289.53,7338.22,7309.69,7298.81,7324.0,7322.15,7329.78,7355.81,7445.01,7333.11,7324.66,7333.3,7311.24,7305.73,7297.46,7264.32,7302.66,7303.67,7363.84,7353.33
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2024-02-29,7364.92,7312.73,7388.84,7333.98,7331.49,7367.62,7367.57,7377.53,7397.03,7453.38,7342.48,7349.71,7365.78,7333.87,7360.89,7322.64,7264.33,7322.6,7342.49,7352.62,7325.0
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2024-03-01,7321.58,7316.24,7343.94,7309.51,7320.66,7330.76,7334.34,7332.16,7359.97,7443.02,7323.63,7307.3,7329.62,7315.68,7335.52,7305.79,7264.18,7304.35,7325.91,7320.04,7343.33
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2024-03-04,7340.8,7317.33,7376.92,7311.15,7328.22,7340.47,7340.31,7365.15,7388.86,7450.74,7315.87,7323.96,7323.98,7333.25,7339.48,7315.33,7264.33,7301.3,7341.73,7340.63,7330.0
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2024-03-05,7315.29,7324.32,7350.44,7305.61,7325.74,7339.79,7318.97,7344.85,7365.55,7451.88,7304.36,7319.43,7316.46,7325.93,7321.51,7307.34,7264.21,7297.3,7327.12,7328.32,7310.0
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2024-03-06,7308.37,7325.7,7334.63,7294.16,7305.63,7325.18,7312.54,7318.27,7352.91,7447.44,7298.88,7308.51,7313.02,7309.36,7297.3,7288.71,7263.76,7286.98,7300.48,7306.5,7297.5
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2024-03-07,7299.86,7322.53,7324.67,7282.33,7294.87,7306.71,7313.41,7321.12,7342.72,7440.57,7289.94,7302.04,7319.49,7285.37,7297.06,7280.81,7263.15,7286.31,7293.88,7289.42,7290.0
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2024-03-08,7284.22,7300.35,7319.86,7274.83,7286.74,7293.73,7302.8,7307.93,7337.87,7436.35,7274.2,7299.68,7286.94,7284.21,7288.37,7276.83,7262.76,7277.18,7291.02,7296.59,7295.0
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2024-03-11,7271.27,7287.88,7325.34,7269.57,7283.7,7281.61,7304.64,7315.33,7343.5,7434.85,7270.74,7301.9,7264.77,7297.51,7293.47,7279.98,7262.81,7273.09,7289.34,7281.02,7285.0
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2024-03-12,7252.84,7289.89,7316.38,7238.32,7271.27,7285.97,7283.58,7308.11,7333.67,7423.91,7273.67,7295.14,7244.6,7296.69,7275.31,7274.42,7264.09,7267.18,7270.4,7242.84,7283.33
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||||
2024-03-13,7248.94,7289.63,7317.69,7233.04,7267.63,7290.31,7281.2,7307.19,7335.38,7425.88,7268.58,7309.18,7235.08,7304.14,7278.21,7275.33,7265.65,7265.26,7272.33,7235.62,7285.0
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||||
2024-03-14,7265.67,7272.35,7319.05,7246.86,7274.3,7281.33,7285.09,7310.26,7336.26,7424.37,7279.02,7310.25,7246.55,7274.92,7288.54,7285.69,7269.2,7272.8,7280.93,7245.84,7277.5
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||||
2024-03-15,7268.02,7272.38,7313.29,7252.22,7272.37,7267.28,7274.58,7300.8,7329.86,7422.91,7276.36,7300.48,7249.94,7253.63,7269.2,7284.16,7271.75,7274.0,7279.15,7275.57,7353.33
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||||
2024-03-18,7347.52,7331.59,7398.1,7300.4,7319.2,7299.25,7365.29,7379.18,7404.8,7454.79,7304.76,7381.73,7306.57,7305.65,7353.59,7387.27,7274.58,7304.16,7330.82,7352.64,7387.5
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2024-03-19,7383.2,7377.06,7422.18,7337.72,7360.54,7351.51,7392.03,7400.81,7423.66,7474.67,7313.87,7416.08,7356.26,7326.81,7393.41,7420.57,7276.23,7330.54,7363.47,7386.88,7435.0
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2024-03-20,7431.32,7405.09,7481.7,7376.29,7402.01,7385.96,7459.23,7451.43,7481.06,7500.15,7329.38,7477.52,7408.8,7385.25,7441.38,7446.61,7277.8,7375.82,7414.87,7433.1,7460.0
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2024-03-21,7458.23,7401.49,7497.22,7416.58,7435.34,7399.19,7477.4,7484.97,7496.09,7515.96,7349.72,7505.51,7430.26,7433.87,7467.83,7466.18,7280.62,7415.17,7449.45,7440.95,7422.5
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2024-03-22,7407.08,7385.58,7442.54,7427.62,7418.86,7399.51,7396.74,7421.23,7442.49,7503.78,7352.84,7447.2,7399.15,7426.65,7428.19,7410.61,7284.13,7404.03,7430.58,7399.98,7402.5
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||||
2024-03-25,7390.93,7341.74,7425.1,7351.02,7389.62,7396.72,7393.91,7412.02,7429.24,7493.73,7344.59,7410.24,7372.03,7425.95,7402.73,7362.53,7285.9,7383.56,7400.51,7386.46,7372.5
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2024-03-26,7347.33,7326.36,7383.73,7310.72,7358.05,7389.99,7351.15,7374.38,7394.84,7478.16,7345.4,7372.22,7346.88,7391.77,7355.68,7335.91,7286.96,7355.52,7355.3,7348.98,7365.0
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2024-03-27,7332.67,7312.63,7381.71,7327.69,7341.74,7356.66,7347.59,7365.01,7395.24,7472.17,7348.8,7371.09,7330.06,7369.82,7345.87,7337.23,7287.96,7336.09,7351.86,7342.38,7345.0
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2024-03-28,7318.95,7314.23,7356.68,7325.77,7325.55,7327.43,7330.24,7354.81,7374.07,7455.5,7348.21,7331.05,7302.67,7352.37,7328.51,7320.33,7288.74,7314.21,7333.58,7330.55,7345.0
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||||
2024-03-29,7333.3,7331.35,7363.25,7327.67,7319.56,7301.55,7328.18,7355.11,7380.95,7447.57,7334.74,7327.27,7288.54,7335.81,7336.81,7319.3,7289.92,7297.93,7332.41,7343.51,7345.0
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||||
2024-04-01,7348.05,7330.57,7362.77,7332.96,7322.2,7298.06,7329.02,7358.66,7379.31,7439.07,7324.08,7319.56,7297.91,7335.11,7344.4,7319.01,7290.86,7297.93,7334.57,7336.61,7360.0
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||||
2024-04-02,7354.85,7323.4,7383.79,7332.65,7333.63,7305.61,7343.25,7371.61,7396.96,7439.3,7319.5,7330.72,7310.54,7330.5,7355.11,7328.96,7291.78,7303.89,7341.66,7354.63,7380.0
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||||
2024-04-03,7365.36,7363.44,7406.76,7337.82,7351.97,7328.92,7372.84,7392.54,7415.12,7455.35,7328.3,7365.47,7333.11,7329.49,7376.28,7337.59,7293.34,7332.99,7356.93,7368.23,7397.5
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||||
2024-04-07,7393.17,7399.15,7426.61,7353.03,7376.49,7376.75,7414.11,7407.82,7431.87,7469.02,7340.05,7401.16,7367.35,7352.12,7391.14,7345.16,7296.03,7358.92,7389.73,7383.01,7437.5
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2024-04-08,7446.69,7449.75,7475.26,7373.37,7410.56,7404.13,7471.23,7453.16,7476.52,7494.46,7348.69,7462.4,7410.81,7377.58,7435.09,7383.23,7300.34,7398.07,7432.4,7434.56,7490.0
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2024-04-09,7504.9,7467.54,7530.61,7433.77,7452.01,7425.34,7513.39,7508.93,7533.46,7525.64,7357.86,7528.49,7454.96,7437.01,7491.25,7428.23,7304.74,7457.52,7473.55,7489.28,7507.5
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2024-04-10,7507.67,7467.99,7538.11,7542.22,7472.33,7420.04,7503.44,7518.16,7542.64,7545.15,7374.81,7566.42,7470.54,7473.43,7509.8,7433.5,7310.03,7488.79,7488.68,7506.2,7497.5
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2024-04-11,7471.36,7447.97,7520.09,7595.64,7468.23,7408.33,7456.56,7507.32,7523.82,7548.46,7392.38,7548.81,7429.43,7498.08,7501.92,7419.36,7314.95,7464.22,7485.5,7461.34,7497.5
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||||
2024-04-12,7441.47,7422.59,7520.65,7489.62,7460.53,7422.05,7457.34,7508.16,7525.23,7549.5,7408.37,7551.69,7408.99,7522.65,7488.91,7405.51,7319.85,7442.42,7475.94,7381.11,7506.67
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||||
2024-04-15,7437.49,7392.71,7528.99,7359.85,7460.77,7406.3,7457.88,7511.0,7534.34,7550.29,7422.12,7559.66,7408.64,7505.06,7499.32,7414.59,7324.39,7350.28,7478.66,7390.39,7482.5
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2024-04-16,7414.4,7356.55,7493.42,7320.82,7445.33,7389.55,7430.34,7479.15,7495.79,7530.0,7414.8,7504.09,7384.23,7474.41,7463.96,7395.26,7326.74,7316.68,7464.25,7352.03,7495.0
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2024-04-17,7418.15,7345.34,7517.47,7244.33,7448.57,7372.91,7443.81,7505.07,7524.59,7532.58,7416.41,7509.97,7377.52,7468.47,7480.95,7402.17,7328.88,7308.76,7469.45,7336.17,7497.5
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2024-04-18,7436.24,7365.21,7513.57,7192.38,7453.6,7372.54,7432.96,7503.99,7517.93,7524.56,7417.28,7494.44,7394.34,7452.7,7495.29,7403.77,7331.62,7302.16,7473.56,7444.7,7497.5
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2024-04-19,7447.08,7350.32,7514.88,7205.88,7455.57,7376.24,7410.53,7499.09,7521.58,7514.49,7414.34,7484.98,7403.57,7462.21,7490.31,7405.58,7335.87,7309.31,7468.85,7449.0,7527.5
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2024-04-22,7475.88,7423.16,7553.94,7254.19,7479.88,7386.67,7447.72,7543.1,7564.77,7529.09,7418.21,7513.38,7448.4,7465.62,7534.03,7424.22,7340.89,7353.61,7495.13,7507.16,7527.5
|
||||
2024-04-23,7483.17,7425.91,7543.4,7290.92,7493.7,7412.12,7452.95,7529.65,7551.13,7530.61,7420.4,7510.63,7476.78,7493.62,7519.16,7425.58,7345.31,7389.05,7508.08,7474.14,7510.0
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||||
2024-04-24,7489.82,7449.76,7522.43,7284.6,7487.66,7426.27,7472.05,7511.78,7529.63,7526.36,7421.74,7485.46,7485.09,7501.46,7492.88,7420.0,7350.44,7407.38,7501.62,7474.42,7487.5
|
||||
2024-04-25,7478.17,7459.27,7497.68,7280.8,7470.32,7445.5,7489.49,7493.36,7502.21,7512.97,7428.15,7459.13,7481.87,7483.92,7478.55,7422.14,7354.99,7425.65,7481.11,7463.77,7487.5
|
||||
2024-04-26,7471.79,7504.41,7503.64,7251.0,7463.42,7473.47,7521.54,7488.07,7509.47,7511.23,7437.15,7478.42,7488.64,7486.83,7477.29,7424.85,7357.93,7426.34,7478.56,7483.43,7502.5
|
||||
2024-04-28,7467.89,7518.13,7521.81,7174.11,7470.82,7479.49,7536.93,7508.17,7528.39,7516.84,7455.74,7505.59,7480.88,7472.89,7496.72,7427.1,7362.14,7417.9,7486.94,7501.28,7527.5
|
||||
2024-04-29,7481.1,7537.41,7551.26,7198.68,7484.31,7493.62,7539.07,7535.14,7561.36,7538.57,7471.26,7551.52,7456.97,7503.59,7513.18,7435.48,7365.99,7410.41,7503.56,7523.13,7537.5
|
||||
2024-04-30,7485.56,7594.84,7557.28,7254.42,7491.22,7476.7,7528.7,7545.33,7567.36,7559.4,7475.39,7570.71,7438.04,7536.98,7529.87,7442.82,7370.56,7405.34,7509.73,7512.24,7532.5
|
||||
2024-05-06,7483.94,7574.7,7548.46,7325.23,7489.19,7448.35,7506.84,7539.17,7557.91,7552.76,7467.6,7562.01,7421.79,7525.62,7532.45,7444.39,7376.1,7394.27,7509.66,7408.65,7502.5
|
||||
2024-05-07,7454.26,7549.21,7509.9,7428.31,7469.92,7432.5,7468.81,7503.76,7514.61,7528.46,7455.19,7517.82,7393.69,7501.23,7494.93,7449.21,7382.07,7369.93,7480.75,7366.6,7475.0
|
||||
2024-05-08,7448.62,7504.08,7483.78,7341.15,7449.91,7422.82,7453.71,7472.99,7488.15,7506.29,7444.99,7489.62,7390.3,7460.89,7477.19,7433.97,7388.17,7356.53,7456.13,7334.04,7512.5
|
||||
2024-05-09,7489.41,7492.55,7538.78,7228.58,7471.97,7432.32,7488.34,7522.5,7548.68,7532.69,7450.95,7550.51,7421.94,7462.06,7500.77,7464.86,7394.79,7365.0,7478.99,7376.05,7505.0
|
||||
2024-05-10,7502.58,7503.25,7515.71,7238.33,7480.19,7439.46,7474.0,7502.34,7519.2,7530.79,7445.66,7522.23,7430.08,7469.07,7501.89,7461.89,7402.07,7366.89,7475.33,7327.73,7477.5
|
||||
2024-05-11,7477.01,7468.49,7487.68,7269.38,7466.02,7463.35,7461.11,7477.54,7492.72,7517.63,7434.93,7478.03,7432.49,7469.02,7476.03,7443.91,7409.29,7377.38,7464.25,7457.58,7475.0
|
||||
2024-05-13,7485.15,7465.77,7491.34,7315.73,7466.45,7476.06,7467.47,7489.51,7496.05,7504.56,7435.73,7466.04,7449.36,7487.14,7477.51,7445.1,7416.69,7406.58,7470.81,7469.83,7485.0
|
||||
2024-05-14,7477.14,7476.03,7503.63,7392.31,7473.35,7492.1,7466.7,7485.68,7508.49,7498.11,7457.67,7471.83,7481.71,7489.56,7496.26,7459.57,7425.19,7437.05,7474.59,7482.29,7507.5
|
||||
2024-05-15,7489.91,7539.15,7530.81,7430.45,7490.52,7527.63,7486.06,7514.31,7538.25,7516.15,7484.43,7502.17,7517.09,7500.93,7501.97,7472.1,7430.11,7472.37,7495.54,7499.29,7510.0
|
||||
2024-05-16,7488.49,7555.01,7527.53,7360.08,7500.79,7538.66,7505.81,7517.8,7533.73,7533.27,7499.3,7510.77,7524.22,7516.52,7497.59,7476.12,7433.61,7352.68,7509.44,7492.98,7525.0
|
||||
2024-05-17,7496.75,7566.11,7548.37,7326.43,7508.88,7531.27,7524.72,7533.79,7558.48,7556.27,7511.16,7535.63,7506.21,7526.92,7519.7,7497.23,7435.59,7309.13,7519.26,7481.67,7587.5
|
||||
2024-05-20,7554.62,7644.92,7627.44,7350.25,7547.01,7528.24,7595.91,7612.28,7643.46,7596.9,7537.82,7612.63,7530.43,7539.71,7591.87,7521.2,7437.21,7296.11,7572.12,7571.91,7670.0
|
||||
2024-05-21,7646.42,7693.65,7721.68,7393.04,7609.44,7543.75,7674.38,7711.26,7740.31,7708.74,7555.53,7736.54,7598.73,7600.96,7672.61,7654.2,7439.66,7318.55,7645.34,7664.22,7677.5
|
||||
2024-05-22,7647.54,7700.36,7702.61,7435.01,7631.71,7537.14,7631.25,7700.74,7718.4,7716.27,7545.94,7739.61,7593.62,7631.05,7680.19,7632.13,7443.42,7351.65,7659.1,7656.57,7677.5
|
||||
2024-05-23,7626.59,7682.93,7701.23,7486.0,7631.62,7534.77,7612.35,7702.06,7719.24,7711.33,7537.83,7734.65,7576.55,7652.62,7672.35,7630.37,7449.02,7363.8,7655.3,7639.01,7645.0
|
||||
2024-05-24,7591.57,7687.27,7647.22,7466.98,7604.74,7520.95,7581.75,7648.48,7659.85,7665.49,7530.35,7681.59,7545.77,7650.82,7641.27,7555.51,7455.55,7342.27,7618.71,7587.36,7630.0
|
||||
2024-05-27,7587.08,7608.34,7637.65,7450.73,7586.27,7503.4,7584.06,7621.78,7653.85,7607.25,7528.53,7654.25,7532.07,7610.58,7622.67,7533.82,7463.42,7326.06,7605.99,7588.43,7650.0
|
||||
2024-05-28,7607.55,7589.48,7669.13,7484.61,7597.73,7514.83,7601.71,7664.22,7686.82,7632.27,7530.03,7686.72,7537.27,7603.04,7629.19,7550.99,7471.71,7363.76,7623.46,7633.98,7690.0
|
||||
2024-05-29,7652.84,7571.3,7717.47,7556.94,7630.25,7549.12,7631.5,7713.28,7739.42,7692.04,7547.56,7739.16,7571.95,7633.92,7662.71,7577.13,7480.36,7443.68,7655.77,7631.62,7690.0
|
||||
2024-05-30,7649.09,7577.62,7704.1,7550.92,7640.84,7541.27,7618.8,7709.13,7722.64,7686.08,7566.99,7726.25,7577.4,7647.87,7675.33,7588.57,7488.69,7495.95,7666.95,7588.98,7716.67
|
||||
2024-05-31,7659.8,7578.86,7740.46,7601.55,7658.13,7553.72,7626.85,7747.84,7766.91,7734.27,7586.04,7743.6,7606.83,7679.94,7715.32,7637.17,7496.29,7552.72,7694.43,7669.36,7740.0
|
||||
2024-06-03,7680.57,7584.22,7758.74,7692.79,7682.17,7563.78,7631.12,7765.3,7782.34,7752.19,7594.94,7765.01,7648.73,7689.59,7745.42,7666.56,7503.34,7588.76,7712.73,7713.13,7720.0
|
||||
2024-06-04,7665.76,7576.41,7723.4,7680.31,7679.08,7575.09,7632.31,7726.45,7745.14,7722.12,7593.83,7724.31,7634.57,7670.89,7705.0,7633.67,7509.08,7561.44,7702.17,7686.5,7650.0
|
||||
2024-06-05,7606.92,7540.29,7633.46,7610.85,7632.48,7578.7,7615.23,7639.77,7644.89,7622.36,7580.73,7631.2,7599.78,7656.64,7623.31,7586.52,7512.73,7487.38,7640.26,7578.67,7620.0
|
||||
2024-06-06,7619.7,7540.46,7618.23,7535.66,7596.63,7595.6,7616.26,7613.33,7634.54,7580.04,7567.82,7615.22,7595.84,7629.27,7600.64,7572.07,7515.47,7439.33,7594.37,7568.71,7600.0
|
||||
2024-06-07,7615.71,7550.14,7598.83,7495.09,7580.49,7593.81,7616.27,7589.49,7612.05,7554.46,7556.42,7595.42,7595.1,7577.71,7587.54,7557.72,7518.27,7422.08,7579.2,7530.57,7606.67
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||||
2024-06-11,7601.74,7545.36,7617.55,7483.63,7583.14,7602.98,7622.97,7603.07,7634.47,7571.48,7561.7,7607.52,7596.83,7576.37,7597.98,7564.51,7521.23,7447.74,7590.24,7535.68,7620.0
|
||||
2024-06-12,7595.89,7569.69,7634.83,7476.94,7595.18,7606.77,7623.29,7632.71,7651.71,7610.31,7578.85,7632.39,7571.4,7606.64,7609.63,7574.78,7524.16,7455.88,7602.32,7569.64,7673.33
|
||||
2024-06-13,7641.01,7622.33,7708.5,7521.55,7629.66,7648.57,7672.0,7705.26,7730.62,7749.36,7613.58,7719.29,7605.25,7661.15,7673.97,7611.91,7528.73,7519.31,7645.36,7563.04,7690.0
|
||||
2024-06-14,7656.46,7645.11,7711.35,7577.17,7651.13,7647.51,7683.61,7716.14,7731.04,7786.84,7640.58,7734.56,7636.69,7681.25,7693.37,7630.44,7533.1,7553.32,7664.43,7573.6,7690.0
|
||||
2024-06-17,7668.97,7660.65,7707.58,7561.25,7660.09,7645.73,7690.69,7707.57,7728.62,7790.44,7658.04,7732.91,7636.44,7670.13,7692.14,7629.07,7537.53,7588.31,7677.84,7647.88,7656.67
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||||
2024-06-18,7648.69,7647.44,7657.3,7511.84,7644.72,7630.99,7660.46,7661.83,7671.58,7709.01,7646.41,7688.98,7600.83,7643.53,7658.19,7608.7,7541.74,7553.19,7656.77,7650.67,7656.67
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||||
2024-06-19,7717.45,7666.0,7670.33,7520.23,7635.96,7617.99,7659.58,7660.73,7689.14,7667.13,7633.78,7690.19,7602.78,7635.72,7655.59,7608.17,7544.92,7544.78,7635.34,7654.29,7670.0
|
||||
2024-06-20,7741.04,7693.88,7686.97,7567.39,7640.5,7624.09,7651.69,7683.71,7704.51,7695.4,7628.74,7714.59,7644.29,7644.75,7667.42,7626.49,7548.34,7561.63,7630.83,7666.16,7680.0
|
||||
2024-06-21,7702.76,7688.15,7697.32,7612.87,7652.19,7642.97,7654.44,7693.22,7716.37,7728.08,7628.33,7724.77,7677.81,7669.14,7678.6,7633.89,7552.64,7573.85,7647.56,7666.95,7680.0
|
||||
2024-06-24,7666.51,7682.79,7694.04,7581.34,7661.33,7643.75,7644.67,7699.11,7712.41,7720.88,7621.98,7715.66,7654.24,7680.46,7685.14,7635.35,7558.01,7572.07,7665.65,7669.45,7680.0
|
||||
2024-06-25,7635.06,7702.77,7694.15,7551.08,7662.63,7668.97,7639.39,7697.1,7713.05,7727.82,7635.73,7696.7,7642.6,7695.54,7681.62,7638.46,7563.53,7590.37,7676.11,7670.29,7693.33
|
||||
2024-06-26,7649.64,7721.72,7711.35,7582.14,7666.93,7678.08,7646.0,7712.14,7733.13,7739.67,7653.96,7713.9,7646.94,7715.36,7695.62,7646.05,7568.72,7606.04,7690.87,7683.98,7716.67
|
||||
2024-06-27,7668.78,7726.75,7736.6,7605.33,7678.27,7679.7,7667.02,7739.2,7761.5,7762.53,7676.67,7745.12,7650.41,7704.75,7709.23,7649.62,7573.25,7663.1,7698.53,7634.07,7723.33
|
||||
2024-06-28,7678.55,7779.76,7736.77,7635.71,7686.45,7652.34,7673.52,7741.3,7761.03,7772.07,7686.61,7750.62,7643.94,7685.82,7713.25,7644.23,7577.58,7691.8,7703.73,7613.67,7730.0
|
||||
2024-07-01,7707.72,7821.05,7743.39,7658.27,7693.71,7649.98,7708.01,7749.89,7768.63,7769.01,7691.71,7759.06,7661.72,7689.95,7721.16,7646.0,7582.32,7717.93,7715.57,7626.28,7763.33
|
||||
2024-07-02,7744.92,7840.94,7783.1,7679.4,7717.64,7653.13,7735.71,7787.06,7806.22,7806.74,7684.8,7796.63,7692.66,7722.76,7756.99,7667.11,7588.75,7762.75,7744.12,7687.62,7780.0
|
||||
2024-07-03,7756.84,7833.03,7791.33,7692.3,7731.19,7658.64,7735.06,7794.67,7812.86,7828.05,7669.74,7808.23,7703.55,7736.59,7780.46,7680.14,7596.91,7800.42,7746.29,7766.54,7800.0
|
||||
2024-07-04,7777.57,7802.46,7810.8,7710.33,7750.34,7672.56,7765.83,7815.34,7833.79,7856.35,7662.81,7828.12,7724.62,7755.44,7794.13,7694.62,7603.58,7779.04,7766.87,7784.54,7800.0
|
||||
2024-07-05,7774.44,7815.16,7802.19,7730.68,7760.77,7699.28,7772.52,7811.57,7823.36,7849.05,7671.7,7830.59,7724.65,7770.86,7787.98,7692.89,7610.96,7843.22,7780.92,7741.59,7766.67
|
||||
2024-07-08,7741.65,7795.09,7758.82,7705.33,7739.58,7708.67,7729.86,7765.03,7781.33,7792.2,7676.97,7784.11,7681.38,7766.85,7757.01,7683.55,7620.04,7824.98,7761.16,7705.36,7746.67
|
||||
2024-07-09,7722.38,7773.33,7745.26,7703.88,7714.5,7696.2,7714.17,7753.77,7769.68,7768.35,7679.44,7764.17,7656.31,7739.11,7735.52,7682.56,7629.55,7730.01,7737.09,7674.54,7720.0
|
||||
2024-07-10,7681.03,7717.21,7716.77,7678.92,7691.8,7673.83,7694.23,7723.21,7737.12,7743.38,7668.68,7735.7,7622.03,7709.89,7703.37,7681.63,7638.61,7685.62,7705.22,7572.7,7693.33
|
||||
2024-07-11,7658.8,7691.9,7693.49,7628.34,7667.14,7692.16,7681.35,7691.85,7710.51,7719.48,7664.59,7703.51,7614.39,7682.58,7677.68,7669.17,7646.27,7670.81,7672.55,7596.51,7686.67
|
||||
2024-07-12,7676.21,7648.01,7695.03,7632.62,7659.27,7675.71,7674.62,7698.63,7713.13,7720.5,7665.84,7702.99,7618.09,7679.03,7672.11,7670.97,7654.11,7660.48,7659.43,7646.45,7680.0
|
||||
2024-07-15,7678.67,7635.19,7688.59,7673.16,7661.82,7659.83,7658.52,7688.36,7705.97,7715.21,7663.19,7697.0,7632.91,7676.23,7670.71,7666.72,7661.32,7665.77,7658.57,7673.79,7680.0
|
||||
2024-07-16,7651.2,7671.86,7692.78,7689.27,7668.14,7660.76,7659.06,7692.61,7711.37,7719.34,7655.2,7696.32,7641.57,7667.54,7679.94,7684.55,7665.08,7669.1,7668.98,7684.14,7666.67
|
||||
2024-07-17,7641.06,7668.16,7673.47,7659.75,7664.64,7654.22,7660.93,7676.71,7690.06,7700.99,7651.0,7671.75,7644.48,7651.21,7663.0,7678.61,7664.98,7672.35,7664.72,7691.68,7660.0
|
||||
2024-07-18,7664.97,7658.16,7670.03,7637.79,7660.39,7658.64,7659.83,7666.5,7687.94,7698.48,7644.28,7672.95,7654.77,7652.12,7661.85,7665.94,7664.43,7680.07,7657.52,7684.03,7656.67
|
||||
2024-07-19,7665.55,7670.82,7667.21,7635.58,7660.33,7668.88,7658.37,7665.87,7684.4,7695.58,7643.1,7674.29,7663.73,7643.52,7663.89,7656.08,7663.77,7700.4,7657.96,7680.19,7656.67
|
||||
2024-07-22,7654.73,7659.6,7668.97,7621.64,7661.35,7680.21,7656.68,7664.04,7686.75,7703.27,7644.07,7678.37,7673.43,7659.15,7658.67,7652.07,7664.19,7711.59,7657.0,7666.68,7640.0
|
||||
2024-07-23,7627.15,7658.63,7644.82,7588.28,7648.25,7672.14,7633.98,7642.58,7660.83,7681.31,7644.15,7657.65,7654.55,7659.5,7642.75,7629.61,7664.6,7699.0,7638.69,7648.38,7623.33
|
||||
2024-07-24,7615.71,7655.36,7628.3,7592.22,7632.98,7642.48,7617.96,7623.56,7644.38,7647.41,7638.71,7634.55,7637.8,7656.28,7626.52,7606.37,7663.53,7680.98,7623.42,7643.56,7623.33
|
||||
2024-07-25,7626.83,7642.02,7633.97,7613.05,7627.47,7633.41,7616.62,7627.67,7651.09,7641.83,7629.51,7638.69,7636.35,7667.25,7627.47,7601.07,7661.25,7681.91,7620.48,7654.3,7616.67
|
||||
2024-07-26,7632.33,7621.39,7624.53,7645.17,7622.88,7627.13,7601.44,7616.04,7639.72,7631.04,7618.54,7630.36,7640.37,7653.94,7615.76,7592.51,7658.74,7678.82,7610.2,7671.36,7606.67
|
||||
2024-07-29,7639.82,7612.4,7614.2,7662.63,7615.06,7627.33,7595.58,7606.81,7629.6,7619.99,7608.54,7623.0,7640.1,7621.77,7607.57,7582.71,7655.3,7666.26,7606.59,7680.21,7593.33
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||||
2024-07-30,7622.59,7600.34,7599.37,7641.51,7603.54,7616.73,7589.47,7594.73,7613.76,7596.82,7595.43,7602.52,7632.35,7602.39,7598.68,7575.24,7651.04,7639.92,7595.3,7624.0,7593.33
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||||
2024-07-31,7600.51,7608.84,7604.48,7579.51,7596.77,7610.01,7590.87,7595.07,7620.02,7591.9,7582.4,7602.83,7610.28,7587.6,7602.2,7574.55,7647.16,7610.42,7593.2,7617.02,7583.33
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||||
2024-08-01,7584.49,7591.16,7590.41,7528.96,7586.1,7592.44,7577.19,7583.06,7603.93,7577.83,7568.32,7587.83,7585.23,7581.5,7587.47,7558.95,7644.52,7583.24,7579.94,7590.3,7620.0
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||||
2024-08-02,7616.69,7597.32,7646.77,7566.6,7608.67,7612.44,7609.73,7635.09,7667.15,7621.61,7575.38,7644.41,7594.11,7601.34,7624.83,7610.86,7644.52,7601.45,7606.0,7619.89,7623.33
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||||
2024-08-05,7623.76,7589.96,7636.61,7586.84,7623.19,7622.18,7610.9,7632.09,7651.12,7634.57,7591.59,7646.92,7600.74,7606.68,7626.28,7616.17,7645.47,7618.92,7617.34,7621.26,7610.0
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||||
2024-08-06,7603.18,7595.41,7619.84,7605.93,7619.76,7611.85,7608.62,7610.0,7635.33,7619.08,7602.16,7622.48,7608.05,7622.34,7609.32,7605.97,7645.61,7639.88,7622.11,7612.49,7596.67
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||||
2024-08-07,7592.18,7592.88,7604.55,7626.97,7607.0,7596.99,7595.73,7603.8,7618.55,7598.38,7603.15,7605.98,7599.85,7619.7,7598.38,7599.85,7644.64,7643.84,7607.2,7614.27,7586.67
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||||
2024-08-08,7586.15,7584.44,7594.6,7599.37,7593.31,7582.25,7584.57,7583.2,7608.71,7574.14,7597.16,7590.7,7575.04,7598.87,7586.78,7593.29,7641.55,7614.19,7591.35,7610.71,7583.33
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||||
2024-08-09,7576.48,7582.33,7593.27,7585.83,7584.16,7586.21,7583.9,7582.83,7607.38,7572.6,7593.07,7593.88,7574.76,7583.67,7577.9,7587.49,7638.0,7594.36,7581.23,7618.0,7583.33
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||||
2024-08-12,7575.63,7573.13,7594.56,7563.65,7581.98,7582.93,7582.0,7586.46,7608.74,7575.65,7589.75,7596.44,7572.66,7578.67,7573.81,7582.91,7634.55,7587.76,7580.69,7589.65,7586.67
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||||
2024-08-13,7576.85,7573.63,7599.73,7549.21,7581.67,7588.33,7586.28,7590.12,7614.35,7589.07,7587.63,7605.08,7577.5,7586.07,7579.82,7587.45,7632.09,7588.25,7584.79,7591.04,7593.33
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||||
2024-08-14,7588.26,7580.58,7608.2,7543.9,7583.36,7587.63,7592.55,7600.56,7623.21,7583.55,7584.06,7605.89,7590.91,7583.55,7593.7,7596.72,7629.95,7583.49,7588.25,7596.74,7590.0
|
||||
2024-08-15,7593.08,7579.66,7601.46,7529.65,7582.26,7589.29,7589.51,7593.46,7615.52,7575.57,7576.29,7597.07,7586.9,7572.76,7588.46,7596.39,7627.37,7567.46,7583.96,7608.26,7583.33
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||||
2024-08-16,7586.15,7570.0,7593.93,7514.98,7578.33,7583.97,7580.97,7585.71,7608.0,7570.62,7570.11,7592.93,7577.51,7570.17,7584.04,7591.05,7624.35,7556.5,7577.98,7601.39,7583.33
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||||
2024-08-19,7594.75,7567.16,7595.88,7563.93,7579.27,7591.45,7583.53,7587.47,7610.1,7572.22,7566.63,7595.98,7578.81,7562.98,7580.2,7587.08,7621.38,7557.74,7578.12,7597.96,7570.0
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||||
2024-08-20,7579.69,7549.51,7577.41,7576.12,7570.13,7587.28,7570.4,7568.66,7589.49,7566.75,7561.17,7580.98,7573.95,7559.21,7563.7,7578.24,7617.92,7548.49,7565.12,7585.64,7570.0
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||||
2024-08-21,7584.28,7549.39,7582.75,7575.37,7568.25,7584.27,7579.21,7573.01,7596.82,7568.56,7558.48,7580.19,7579.22,7555.77,7567.7,7568.89,7614.3,7552.89,7568.73,7573.09,7570.0
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||||
2024-08-22,7583.7,7563.72,7581.84,7578.46,7570.42,7585.17,7579.53,7573.96,7594.55,7566.88,7555.73,7579.72,7581.85,7557.41,7570.86,7564.07,7610.43,7557.83,7571.75,7572.58,7590.0
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||||
2024-08-23,7591.69,7580.94,7610.27,7577.62,7583.99,7586.86,7595.8,7597.0,7626.16,7585.06,7560.51,7605.65,7586.47,7580.06,7588.23,7581.87,7607.35,7568.18,7586.91,7578.29,7583.33
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||||
2024-08-26,7581.91,7582.1,7593.37,7570.0,7584.27,7593.48,7585.07,7587.27,7605.78,7577.06,7566.94,7596.79,7579.49,7588.08,7584.4,7576.37,7604.08,7567.01,7583.0,7593.89,7583.33
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||||
2024-08-27,7578.77,7577.6,7597.72,7573.39,7582.92,7599.51,7582.85,7587.59,7612.76,7580.64,7569.93,7599.5,7577.81,7596.23,7580.95,7580.58,7600.83,7588.53,7585.49,7591.12,7610.0
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||||
2024-08-28,7603.34,7568.98,7633.48,7591.46,7600.26,7612.36,7604.12,7624.77,7650.61,7607.26,7590.22,7637.93,7594.21,7602.4,7610.4,7616.2,7598.77,7614.45,7603.8,7596.22,7610.0
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||||
2024-08-29,7602.61,7574.91,7623.24,7595.74,7606.55,7612.5,7598.92,7611.27,7637.06,7603.43,7608.57,7629.72,7598.36,7592.65,7610.02,7615.47,7597.31,7606.99,7610.11,7601.69,7613.33
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||||
2024-08-30,7609.0,7602.09,7629.69,7595.23,7609.88,7619.16,7606.8,7620.17,7646.34,7613.65,7626.89,7634.24,7602.9,7605.2,7607.37,7615.43,7596.6,7613.78,7616.26,7596.19,7606.67
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||||
2024-09-02,7604.8,7611.23,7617.19,7590.73,7606.88,7617.54,7599.16,7613.64,7630.95,7601.78,7633.94,7625.12,7604.06,7602.78,7610.29,7605.22,7595.72,7615.25,7603.53,7588.05,7583.33
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||||
2024-09-03,7584.12,7599.74,7587.32,7583.98,7587.2,7593.44,7574.91,7577.95,7600.26,7575.75,7621.9,7590.64,7589.95,7583.71,7584.71,7571.91,7594.26,7601.55,7578.65,7585.84,7562.5
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||||
2024-09-04,7567.82,7576.5,7567.19,7571.67,7567.29,7574.64,7562.33,7562.51,7579.01,7547.71,7604.77,7562.58,7574.18,7572.53,7565.26,7556.47,7591.96,7588.91,7560.81,7582.39,7535.0
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||||
2024-09-05,7545.36,7552.7,7536.81,7572.77,7543.65,7554.34,7543.55,7530.69,7545.04,7525.55,7580.8,7526.22,7551.9,7551.99,7529.33,7540.59,7588.3,7577.33,7536.12,7562.67,7475.0
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||||
2024-09-06,7489.13,7530.06,7468.77,7567.33,7490.51,7523.74,7484.99,7463.25,7472.63,7487.4,7541.51,7450.58,7511.96,7517.22,7469.27,7511.44,7581.11,7568.4,7483.83,7535.0,7442.5
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||||
2024-09-09,7477.12,7518.37,7445.95,7539.01,7447.32,7499.81,7457.06,7440.96,7453.29,7463.9,7499.5,7414.84,7488.55,7477.18,7432.64,7497.93,7572.17,7548.29,7447.32,7475.0,7422.5
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||||
2024-09-10,7456.85,7501.8,7427.16,7514.64,7422.65,7479.61,7434.15,7419.56,7435.08,7450.96,7466.84,7396.45,7459.6,7444.46,7420.32,7478.98,7562.58,7523.61,7425.64,7442.5,7412.5
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||||
2024-09-11,7431.63,7488.65,7421.85,7484.77,7405.92,7468.94,7418.03,7409.36,7431.29,7444.13,7435.7,7386.46,7435.07,7418.62,7414.43,7467.43,7553.1,7497.19,7418.09,7422.5,7387.5
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||||
2024-09-12,7398.92,7473.74,7392.92,7436.31,7384.28,7455.46,7387.81,7391.31,7405.78,7437.62,7402.3,7358.95,7406.29,7400.44,7386.07,7451.55,7542.7,7450.64,7395.83,7412.51,7380.0
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||||
2024-09-13,7387.89,7452.98,7392.81,7394.62,7370.54,7445.65,7375.93,7386.79,7406.8,7437.69,7380.1,7357.82,7390.09,7401.12,7384.26,7432.34,7532.57,7427.63,7384.53,7387.57,7395.0
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||||
2024-09-14,7398.8,7448.38,7415.44,7368.94,7381.92,7434.69,7389.77,7404.15,7424.27,7446.08,7377.0,7380.42,7384.06,7403.66,7403.4,7426.29,7523.94,7425.34,7393.14,7381.05,7375.0
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||||
2024-09-18,7373.29,7433.29,7386.28,7329.25,7376.52,7412.15,7366.51,7377.15,7398.32,7444.71,7372.7,7360.6,7359.8,7382.27,7384.26,7407.78,7514.74,7414.36,7382.19,7396.33,7342.5
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||||
2024-09-19,7345.12,7423.38,7354.42,7277.35,7354.17,7386.27,7350.0,7351.29,7372.91,7441.94,7368.46,7339.54,7347.83,7371.14,7345.66,7383.4,7504.32,7387.84,7357.27,7375.54,7325.0
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||||
2024-09-20,7342.11,7401.09,7341.36,7221.53,7336.63,7372.35,7341.57,7339.75,7361.3,7437.13,7368.07,7329.55,7347.69,7356.94,7335.71,7368.56,7493.44,7352.7,7337.79,7355.56,7340.0
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||||
2024-09-23,7367.46,7401.63,7362.13,7193.23,7341.63,7375.19,7357.71,7350.42,7378.34,7442.19,7372.96,7345.42,7355.94,7358.66,7345.75,7383.85,7484.01,7328.74,7335.99,7350.67,7310.0
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||||
2024-09-24,7347.11,7369.08,7327.08,7184.46,7324.37,7358.97,7324.65,7320.32,7345.2,7433.41,7367.03,7315.2,7335.14,7339.29,7318.8,7372.53,7473.5,7302.72,7309.44,7311.45,7280.0
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||||
2024-09-25,7337.68,7343.42,7309.85,7403.08,7300.53,7338.34,7316.54,7302.59,7327.5,7421.26,7354.32,7295.57,7333.55,7317.72,7283.23,7342.64,7462.0,7437.99,7292.34,7281.34,7315.0
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||||
2024-09-26,7386.44,7341.61,7345.36,7435.37,7318.42,7346.22,7348.73,7340.58,7362.8,7431.2,7356.0,7324.47,7353.46,7337.65,7320.65,7354.6,7452.84,7508.93,7315.25,7315.34,7310.0
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||||
2024-09-27,7381.15,7328.46,7332.75,7406.75,7317.09,7346.12,7331.73,7320.92,7349.47,7429.06,7351.81,7309.78,7334.64,7314.31,7316.95,7352.38,7443.9,7528.81,7306.65,7311.16,7310.0
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||||
2024-09-29,7384.15,7327.32,7337.93,7345.99,7317.25,7344.34,7338.88,7327.86,7355.93,7435.85,7345.17,7314.27,7328.31,7307.46,7313.57,7350.19,7434.77,7530.15,7314.67,7313.31,7365.0
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||||
2024-09-30,7415.55,7352.2,7403.82,7401.76,7357.28,7360.55,7371.52,7392.1,7410.08,7468.94,7351.29,7374.02,7353.45,7336.29,7371.57,7373.65,7428.29,7573.34,7362.65,7365.42,7420.0
|
||||
2024-10-08,7413.39,7409.56,7462.21,7444.58,7405.36,7396.59,7407.2,7431.76,7460.04,7500.73,7378.97,7438.91,7375.62,7365.27,7425.37,7423.06,7424.11,7630.56,7411.88,7419.61,7602.5
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||||
2024-10-09,7579.91,7556.33,7696.39,7566.58,7555.9,7556.58,7630.08,7670.55,7702.68,7638.44,7573.12,7705.03,7584.66,7484.14,7607.14,7611.41,7424.18,7800.65,7574.46,7602.4,7602.5
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||||
2024-10-10,7575.56,7596.86,7627.47,7619.68,7624.68,7621.92,7625.84,7623.26,7632.98,7668.69,7663.99,7679.77,7637.41,7542.54,7608.91,7600.68,7424.37,7820.1,7604.86,7602.44,7585.0
|
||||
2024-10-11,7628.35,7601.27,7618.62,7603.43,7626.54,7664.98,7622.66,7592.53,7625.98,7680.63,7699.01,7640.88,7648.54,7571.69,7587.7,7604.0,7424.4,7784.88,7600.0,7584.98,7575.0
|
||||
2024-10-12,7633.67,7618.32,7594.08,7582.04,7603.76,7674.04,7605.06,7599.97,7602.33,7617.73,7715.68,7613.97,7646.51,7571.18,7574.51,7612.55,7424.28,7735.88,7567.15,7574.99,7576.67
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||||
2024-10-14,7653.81,7630.65,7595.95,7555.79,7563.84,7673.07,7578.99,7559.27,7606.22,7590.25,7707.99,7611.86,7658.07,7556.69,7561.98,7637.48,7424.14,7701.3,7546.09,7576.52,7565.0
|
||||
2024-10-15,7596.77,7620.22,7575.49,7504.66,7541.02,7645.56,7550.41,7563.09,7584.59,7583.52,7686.62,7594.43,7631.93,7525.27,7535.71,7624.88,7423.75,7647.81,7536.93,7564.88,7527.5
|
||||
2024-10-16,7537.38,7620.99,7528.69,7451.79,7512.35,7561.82,7499.04,7525.2,7534.81,7547.84,7628.83,7523.73,7571.32,7509.33,7482.41,7535.02,7422.73,7588.29,7511.74,7511.9,7477.5
|
||||
2024-10-17,7490.33,7601.67,7475.72,7413.38,7458.59,7485.5,7430.83,7471.65,7480.05,7518.8,7557.3,7453.42,7502.93,7485.75,7450.03,7454.11,7420.69,7541.86,7464.34,7475.21,7467.5
|
||||
2024-10-18,7478.69,7618.04,7477.15,7401.91,7435.49,7470.61,7414.93,7471.33,7483.34,7473.51,7506.43,7414.35,7464.17,7435.23,7464.47,7434.98,7418.43,7530.27,7448.03,7474.44,7370.0
|
||||
2024-10-21,7351.33,7464.07,7351.7,7378.64,7367.16,7417.71,7318.49,7356.18,7369.51,7432.82,7407.67,7312.07,7372.31,7358.34,7360.04,7332.51,7413.26,7488.47,7360.11,7466.75,7362.5
|
||||
2024-10-22,7344.0,7420.61,7372.97,7356.97,7340.58,7344.55,7320.62,7369.73,7394.98,7425.47,7345.69,7321.17,7352.98,7331.07,7343.6,7349.05,7407.93,7482.92,7340.69,7370.03,7346.67
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||||
2024-10-23,7318.68,7349.63,7351.23,7343.76,7327.8,7308.26,7313.73,7354.39,7369.49,7419.87,7297.33,7311.08,7333.77,7306.12,7315.16,7342.97,7402.13,7461.36,7329.76,7362.57,7357.5
|
||||
2024-10-24,7332.02,7332.76,7374.31,7333.8,7329.64,7342.82,7343.69,7356.94,7392.53,7430.7,7278.94,7326.74,7325.37,7332.06,7342.69,7350.51,7396.69,7458.39,7342.08,7346.69,7352.5
|
||||
2024-10-25,7341.74,7293.06,7366.42,7319.07,7339.96,7359.99,7370.54,7370.27,7382.04,7432.93,7259.45,7324.02,7321.69,7319.84,7359.37,7336.29,7391.29,7460.46,7358.44,7357.54,7372.5
|
||||
2024-10-28,7344.72,7319.59,7397.69,7322.86,7366.56,7356.09,7400.03,7384.1,7409.74,7443.96,7265.26,7362.26,7344.67,7345.9,7381.35,7355.78,7386.77,7474.65,7386.76,7352.37,7373.33
|
||||
2024-10-29,7359.09,7309.05,7393.36,7346.79,7376.6,7374.11,7393.55,7384.43,7402.9,7452.68,7299.63,7378.7,7352.16,7395.18,7389.32,7366.07,7382.29,7455.52,7373.86,7373.17,7380.0
|
||||
2024-10-30,7358.99,7341.46,7405.33,7416.18,7381.48,7426.02,7377.57,7389.75,7414.11,7470.71,7350.95,7408.24,7357.65,7411.46,7388.27,7396.68,7378.24,7473.96,7359.31,7391.33,7330.0
|
||||
2024-10-31,7312.56,7305.57,7340.64,7456.83,7354.07,7421.74,7296.75,7337.7,7358.05,7471.7,7350.27,7369.02,7348.39,7402.12,7340.37,7326.14,7372.69,7468.82,7330.87,7388.27,7340.0
|
||||
2024-11-01,7343.08,7325.18,7365.97,7418.3,7350.28,7392.95,7324.07,7355.09,7382.28,7474.65,7365.08,7377.86,7372.56,7387.91,7340.9,7339.71,7367.81,7459.85,7335.55,7377.83,7363.33
|
||||
2024-11-04,7386.98,7346.15,7387.89,7369.52,7364.33,7391.78,7341.57,7376.17,7396.97,7479.09,7375.33,7398.98,7399.13,7360.83,7360.96,7393.32,7364.03,7461.72,7357.11,7379.33,7360.0
|
||||
2024-11-05,7391.64,7351.35,7380.57,7346.31,7361.38,7392.48,7346.13,7362.84,7391.88,7478.33,7376.7,7386.92,7404.12,7376.09,7372.73,7392.84,7360.4,7451.46,7349.65,7347.05,7357.5
|
||||
2024-11-06,7377.09,7346.7,7380.05,7335.56,7358.76,7378.26,7347.79,7375.06,7391.63,7476.48,7358.81,7383.4,7388.88,7361.92,7379.12,7385.59,7356.97,7412.7,7342.42,7377.96,7383.33
|
||||
2024-11-07,7388.92,7358.83,7413.9,7342.16,7375.17,7391.05,7372.72,7398.94,7420.15,7477.76,7361.6,7396.03,7409.27,7366.39,7401.27,7405.46,7355.01,7421.77,7363.14,7384.18,7366.67
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||||
2024-11-08,7353.58,7344.83,7383.68,7340.64,7369.75,7386.01,7355.9,7370.14,7393.42,7466.26,7359.23,7360.38,7396.27,7382.97,7375.96,7376.72,7353.13,7417.78,7356.34,7372.99,7383.33
|
||||
2024-11-11,7379.68,7363.24,7413.31,7352.35,7379.62,7397.03,7377.89,7396.57,7420.56,7476.66,7373.14,7364.99,7411.73,7361.13,7384.96,7384.97,7352.16,7430.21,7378.04,7383.47,7340.0
|
||||
2024-11-12,7341.77,7294.74,7349.73,7357.31,7360.36,7414.32,7341.37,7347.22,7365.44,7470.71,7359.69,7316.59,7389.09,7367.12,7335.55,7337.95,7350.08,7408.84,7358.53,7392.38,7306.67
|
||||
2024-11-13,7381.98,7287.19,7351.89,7350.5,7376.17,7422.79,7383.6,7340.75,7387.01,7469.26,7353.83,7317.99,7432.26,7361.68,7364.91,7332.75,7348.14,7431.79,7365.84,7405.65,7323.33
|
||||
2024-11-14,7382.61,7254.22,7354.04,7348.43,7380.54,7393.63,7401.79,7312.58,7382.11,7465.35,7365.01,7333.27,7446.75,7349.96,7346.71,7327.26,7336.3,7436.18,7378.39,7422.76,7353.33
|
||||
2024-11-15,7381.57,7295.52,7368.15,7328.46,7378.27,7388.9,7390.94,7306.41,7388.54,7474.63,7368.29,7331.23,7442.02,7386.59,7333.92,7323.29,7347.5,7405.92,7384.14,7402.9,7393.33
|
||||
2024-11-18,7351.67,7319.07,7406.21,7316.12,7375.26,7372.63,7385.84,7357.07,7391.6,7479.03,7371.18,7359.46,7430.76,7360.74,7375.31,7320.7,7358.16,7380.2,7378.35,7394.49,7363.33
|
||||
2024-11-19,7359.2,7325.43,7374.63,7342.03,7352.78,7343.61,7342.73,7372.25,7381.78,7449.07,7317.24,7350.61,7326.66,7375.86,7335.6,7364.06,7345.6,7354.37,7365.84,7367.14,
|
||||
2024-11-20,7339.67,7303.26,7375.4,7320.67,7341.12,7339.04,7337.23,7369.62,7401.5,7449.81,7307.54,7353.7,7321.71,7326.19,7327.7,7355.31,7343.62,7344.18,7327.17,7372.86,
|
||||
2024-11-21,7313.64,7310.42,7380.75,7315.62,7321.95,7387.1,7330.4,7346.73,7399.87,7443.93,7302.45,7366.74,7310.2,7341.94,7341.78,7348.73,7331.54,7333.94,7305.5,7363.12,
|
||||
2024-11-22,7296.48,7321.02,7392.48,7309.1,7300.34,7376.25,7299.74,7331.89,7405.18,7451.16,7291.02,7360.91,7294.78,7323.82,7406.11,7343.82,7342.97,7315.08,7304.24,7363.37,
|
||||
2024-11-25,7286.7,7319.39,7421.41,7314.21,7278.51,7335.19,7267.8,7370.68,7405.27,7454.45,7288.73,7384.35,7295.84,7330.96,7369.37,7341.7,7353.84,7304.88,7295.69,7353.22,
|
||||
2024-01-30,7314.25,7335.76,7255.32,7375.61,7296.98,7304.24,7288.53,7316.8,7357.77,7406.36,7330.32,7284.31,7336.16,7282.57,7305.31,7289.84,7306.12,7295.54,7297.12,7304.88,7315.0
|
||||
2024-01-31,7313.85,7333.85,7260.27,7376.32,7306.93,7303.91,7291.97,7327.11,7364.25,7409.82,7340.18,7298.74,7321.85,7294.2,7298.47,7302.1,7304.55,7299.61,7302.49,7313.87,7302.5
|
||||
2024-02-01,7297.0,7335.21,7250.98,7385.46,7298.8,7304.56,7284.13,7314.06,7351.66,7406.99,7334.74,7290.45,7319.52,7291.02,7287.84,7290.86,7303.42,7300.2,7301.71,7297.39,7275.0
|
||||
2024-02-02,7275.51,7314.77,7233.06,7349.83,7272.41,7282.94,7263.86,7294.73,7330.68,7395.3,7306.72,7260.65,7289.64,7278.71,7262.57,7266.32,7300.92,7272.72,7280.73,7271.37,7242.5
|
||||
2024-02-04,7236.79,7273.36,7212.67,7264.81,7239.09,7232.82,7228.47,7267.82,7308.6,7378.92,7271.96,7228.76,7248.22,7249.75,7245.09,7227.47,7297.04,7210.26,7249.74,7287.39,7240.0
|
||||
2024-02-05,7237.9,7254.36,7211.69,7215.08,7225.67,7197.03,7226.16,7266.29,7310.45,7374.66,7241.34,7223.16,7238.12,7228.83,7231.89,7224.25,7292.84,7185.72,7230.67,7307.89,7227.5
|
||||
2024-02-06,7224.19,7245.77,7203.25,7200.75,7215.03,7174.85,7206.81,7257.77,7300.49,7369.7,7214.12,7210.87,7217.43,7212.0,7214.21,7214.99,7288.06,7159.48,7215.9,7300.92,7246.67
|
||||
2024-02-07,7237.08,7241.63,7216.83,7221.2,7226.42,7222.58,7234.44,7277.5,7317.63,7377.89,7198.22,7229.34,7228.86,7227.31,7229.82,7221.54,7284.15,7172.75,7230.4,7282.88,7255.0
|
||||
2024-02-08,7249.03,7225.22,7221.61,7236.65,7242.4,7235.89,7252.49,7285.7,7321.4,7382.84,7189.21,7239.06,7239.93,7231.63,7251.7,7236.11,7280.63,7193.89,7252.08,7254.66,7270.0
|
||||
2024-02-18,7257.58,7232.66,7232.76,7247.51,7258.08,7252.65,7269.86,7295.25,7334.03,7388.26,7192.33,7253.86,7251.03,7230.31,7268.39,7263.02,7278.08,7215.18,7272.44,7244.53,7336.67
|
||||
2024-02-19,7329.8,7284.9,7279.87,7271.41,7312.25,7328.12,7333.28,7359.55,7391.84,7412.85,7285.85,7321.05,7295.19,7280.82,7344.06,7349.32,7277.16,7268.04,7323.31,7273.12,7350.0
|
||||
2024-02-20,7343.01,7301.36,7287.02,7283.48,7338.11,7398.41,7344.57,7358.8,7393.28,7424.57,7353.08,7341.83,7322.19,7304.78,7354.74,7371.01,7276.7,7309.68,7334.03,7338.48,7335.0
|
||||
2024-02-21,7331.02,7289.8,7277.52,7284.16,7334.13,7417.16,7333.0,7344.13,7379.12,7429.64,7381.22,7344.5,7320.66,7332.96,7337.17,7360.45,7275.86,7320.94,7325.44,7337.84,7297.5
|
||||
2024-02-22,7286.55,7266.5,7249.85,7285.34,7304.14,7392.3,7305.8,7314.63,7345.37,7420.07,7373.2,7311.53,7302.57,7318.15,7298.16,7284.19,7273.93,7304.0,7292.32,7342.6,7285.0
|
||||
2024-02-23,7272.61,7258.89,7241.55,7287.63,7288.24,7365.99,7296.96,7295.77,7340.09,7413.29,7359.23,7296.67,7292.49,7303.51,7281.81,7269.99,7271.49,7289.99,7281.0,7323.98,7306.67
|
||||
2024-02-26,7318.19,7258.93,7254.44,7295.47,7299.03,7362.35,7321.52,7317.68,7358.98,7413.28,7357.37,7301.95,7320.65,7296.1,7301.41,7307.13,7269.8,7306.61,7295.1,7371.11,7292.5
|
||||
2024-02-27,7324.57,7251.97,7242.58,7290.08,7297.98,7317.99,7297.46,7304.28,7342.81,7408.67,7340.79,7289.78,7327.02,7292.81,7282.36,7282.91,7268.05,7299.63,7286.47,7368.65,7306.67
|
||||
2024-02-28,7352.75,7295.49,7254.83,7276.21,7302.82,7348.5,7323.02,7324.8,7359.94,7413.98,7330.58,7305.92,7341.13,7310.9,7305.61,7301.83,7266.96,7303.46,7303.91,7380.02,7353.33
|
||||
2024-02-29,7365.17,7313.22,7288.96,7293.72,7334.31,7378.47,7368.02,7371.75,7401.12,7425.51,7341.83,7336.51,7371.22,7333.33,7360.72,7354.87,7266.78,7327.83,7343.33,7374.52,7325.0
|
||||
2024-03-01,7320.5,7306.35,7263.73,7277.35,7322.0,7343.2,7329.76,7327.44,7364.73,7416.31,7322.68,7306.52,7337.22,7315.45,7335.42,7314.74,7266.41,7308.63,7327.13,7294.14,7343.33
|
||||
2024-03-04,7334.56,7330.43,7283.3,7276.89,7330.63,7344.31,7334.27,7357.22,7391.92,7422.3,7315.67,7328.23,7328.13,7333.05,7339.2,7314.98,7266.39,7306.47,7342.18,7296.81,7330.0
|
||||
2024-03-05,7309.45,7325.04,7267.88,7277.67,7326.97,7335.79,7319.16,7340.15,7370.5,7418.13,7305.37,7318.76,7320.53,7326.05,7321.28,7293.51,7266.15,7303.62,7328.04,7281.27,7310.0
|
||||
2024-03-06,7304.78,7318.4,7255.75,7276.86,7305.71,7311.24,7313.83,7311.53,7357.06,7412.45,7301.94,7304.3,7315.76,7309.79,7297.15,7279.6,7265.64,7295.52,7301.35,7288.95,7297.5
|
||||
2024-03-07,7302.21,7321.25,7246.71,7271.87,7294.17,7309.87,7308.66,7314.28,7347.75,7407.47,7294.43,7290.02,7319.87,7285.87,7297.02,7274.12,7264.97,7290.85,7293.32,7295.53,7290.0
|
||||
2024-03-08,7292.95,7299.1,7241.47,7246.3,7288.79,7302.01,7299.54,7302.63,7343.0,7403.52,7279.52,7288.72,7290.22,7284.58,7288.43,7271.91,7264.57,7279.09,7290.29,7294.8,7295.0
|
||||
2024-03-11,7283.5,7308.73,7245.06,7233.56,7289.62,7272.81,7302.29,7308.69,7348.58,7402.53,7275.18,7290.97,7265.94,7297.8,7293.46,7274.37,7264.62,7276.64,7289.43,7294.81,7285.0
|
||||
2024-03-12,7264.78,7291.06,7238.1,7239.95,7277.58,7269.54,7282.67,7303.06,7339.16,7395.51,7277.12,7280.3,7244.14,7296.69,7275.29,7269.44,7265.88,7271.18,7270.28,7285.48,7283.33
|
||||
2024-03-13,7256.37,7287.32,7238.44,7251.53,7272.1,7275.87,7280.45,7301.9,7340.35,7398.0,7269.77,7285.73,7238.05,7303.68,7278.15,7276.54,7267.4,7268.86,7272.17,7252.64,7285.0
|
||||
2024-03-14,7269.4,7282.06,7239.51,7265.08,7275.51,7277.1,7283.45,7304.5,7341.46,7397.56,7280.69,7284.09,7251.88,7273.88,7288.42,7290.29,7270.84,7275.91,7281.04,7264.11,7277.5
|
||||
2024-03-15,7264.23,7275.59,7234.82,7272.71,7271.08,7262.54,7274.31,7295.47,7335.31,7395.98,7277.6,7279.69,7256.92,7252.44,7269.11,7283.47,7273.29,7276.28,7279.45,7273.04,7353.33
|
||||
2024-03-18,7339.36,7324.94,7292.13,7287.28,7320.05,7302.48,7366.6,7371.87,7407.54,7422.89,7304.87,7348.6,7314.84,7304.7,7353.23,7347.31,7276.14,7311.7,7330.94,7344.93,7387.5
|
||||
2024-03-19,7388.08,7385.8,7320.49,7300.95,7361.99,7336.57,7386.98,7397.01,7427.54,7439.6,7311.0,7378.46,7361.53,7326.46,7392.8,7379.9,7277.91,7348.62,7363.5,7387.24,7435.0
|
||||
2024-03-20,7446.17,7409.96,7390.64,7318.43,7404.71,7354.35,7446.15,7449.59,7481.41,7465.93,7324.92,7439.02,7414.86,7384.65,7440.51,7410.61,7279.73,7384.11,7415.17,7432.14,7460.0
|
||||
2024-03-21,7471.48,7410.82,7418.15,7359.09,7436.82,7382.55,7467.97,7485.88,7497.73,7485.05,7342.78,7469.99,7437.01,7433.13,7466.88,7407.96,7282.79,7422.37,7449.82,7435.73,7422.5
|
||||
2024-03-22,7417.1,7386.94,7359.75,7407.99,7419.15,7377.38,7398.66,7419.29,7445.15,7473.64,7348.41,7429.75,7410.0,7426.43,7427.33,7392.96,7286.4,7414.18,7431.13,7377.32,7402.5
|
||||
2024-03-25,7404.65,7354.68,7337.62,7438.0,7391.76,7372.08,7396.19,7403.69,7432.8,7463.86,7342.24,7408.89,7382.35,7426.01,7402.0,7391.26,7288.26,7395.28,7401.38,7352.68,7372.5
|
||||
2024-03-26,7367.22,7322.27,7297.47,7379.26,7362.82,7379.8,7348.91,7365.84,7399.45,7449.14,7347.17,7376.77,7355.65,7392.1,7355.2,7356.75,7289.35,7365.31,7355.82,7332.97,7365.0
|
||||
2024-03-27,7348.99,7314.72,7292.01,7324.37,7348.72,7361.01,7349.25,7354.78,7399.57,7441.3,7353.53,7370.99,7335.98,7369.87,7345.71,7338.27,7290.38,7340.31,7351.88,7327.51,7345.0
|
||||
2024-03-28,7315.95,7301.15,7273.48,7295.8,7330.9,7328.15,7333.3,7346.44,7379.1,7428.09,7353.19,7339.56,7312.39,7352.16,7328.61,7330.9,7291.17,7320.32,7333.7,7319.06,7345.0
|
||||
2024-03-29,7330.24,7305.84,7275.81,7295.1,7325.45,7312.22,7328.93,7348.29,7385.13,7421.9,7338.67,7331.57,7296.93,7335.55,7336.98,7327.3,7292.35,7309.14,7332.74,7339.16,7345.0
|
||||
2024-04-01,7338.24,7312.92,7275.35,7297.79,7326.11,7304.88,7330.88,7350.42,7384.03,7416.0,7329.56,7326.53,7302.67,7334.68,7344.62,7326.0,7293.29,7308.76,7335.23,7344.61,7360.0
|
||||
2024-04-02,7346.74,7332.9,7289.21,7307.99,7336.79,7317.73,7346.57,7364.25,7401.18,7422.32,7325.94,7337.44,7312.67,7330.29,7355.13,7331.72,7294.23,7313.7,7342.82,7353.49,7380.0
|
||||
2024-04-03,7362.03,7378.23,7308.14,7335.29,7353.97,7345.56,7371.53,7386.28,7419.33,7428.12,7335.65,7363.3,7336.41,7329.53,7376.12,7363.62,7295.82,7333.87,7357.16,7375.72,7397.5
|
||||
2024-04-07,7380.46,7399.9,7329.28,7342.79,7377.67,7353.99,7410.47,7402.89,7435.25,7440.61,7349.37,7386.35,7366.33,7351.98,7390.83,7357.89,7298.55,7362.64,7388.62,7390.25,7437.5
|
||||
2024-04-08,7447.65,7446.34,7385.22,7363.92,7413.36,7379.34,7464.31,7450.51,7478.47,7458.92,7355.57,7434.99,7413.54,7377.16,7434.57,7405.02,7302.9,7409.96,7431.65,7422.17,7490.0
|
||||
2024-04-09,7508.91,7451.4,7454.91,7495.67,7458.67,7404.45,7504.04,7508.22,7535.45,7498.07,7362.18,7500.56,7456.07,7436.46,7490.4,7479.82,7307.45,7470.89,7473.05,7482.98,7507.5
|
||||
2024-04-10,7525.01,7463.69,7471.0,7599.2,7480.64,7407.01,7494.6,7518.41,7543.95,7529.9,7380.28,7529.39,7474.85,7472.81,7508.65,7484.08,7312.89,7512.26,7487.67,7500.6,7497.5
|
||||
2024-04-11,7504.87,7435.27,7455.34,7541.44,7475.08,7402.14,7456.31,7507.48,7525.09,7529.47,7398.46,7516.28,7430.02,7497.04,7500.72,7442.53,7317.92,7486.73,7485.56,7459.59,7497.5
|
||||
2024-04-12,7479.46,7435.88,7455.09,7449.45,7465.52,7413.95,7465.76,7506.2,7527.13,7527.37,7413.39,7518.23,7412.17,7521.26,7487.64,7408.6,7322.92,7468.34,7477.26,7416.74,7506.67
|
||||
2024-04-15,7472.32,7395.35,7463.68,7434.46,7464.76,7388.03,7470.02,7506.19,7537.05,7531.6,7428.35,7524.9,7414.0,7503.56,7498.12,7387.92,7327.57,7459.92,7479.79,7412.79,7482.5
|
||||
2024-04-16,7445.28,7384.64,7424.47,7387.4,7448.83,7379.28,7438.86,7474.01,7498.57,7514.49,7421.47,7486.23,7387.0,7473.29,7463.03,7381.95,7330.04,7305.22,7465.68,7344.09,7495.0
|
||||
2024-04-17,7446.2,7378.36,7448.03,7381.32,7454.08,7369.86,7440.14,7500.86,7526.87,7516.48,7420.73,7502.13,7377.72,7467.53,7480.13,7386.93,7332.3,7268.14,7470.71,7356.98,7497.5
|
||||
2024-04-18,7457.83,7363.61,7444.84,7383.72,7460.04,7373.79,7419.24,7500.61,7521.25,7508.95,7418.34,7495.19,7396.12,7451.62,7494.75,7389.4,7335.15,7228.79,7474.29,7391.17,7497.5
|
||||
2024-04-19,7469.48,7391.86,7446.51,7398.17,7463.59,7377.7,7399.12,7494.52,7524.0,7505.1,7416.04,7489.72,7404.43,7461.7,7489.8,7391.95,7339.46,7183.49,7469.89,7418.57,7527.5
|
||||
2024-04-22,7496.98,7406.58,7488.83,7424.42,7488.17,7396.38,7437.13,7540.59,7567.34,7522.83,7419.43,7523.84,7447.05,7465.61,7533.4,7406.44,7344.58,7230.71,7495.75,7421.88,7527.5
|
||||
2024-04-23,7500.82,7452.72,7481.53,7395.13,7502.22,7423.83,7450.05,7529.01,7554.42,7525.62,7422.18,7519.67,7474.19,7493.49,7518.56,7409.24,7349.08,7271.15,7508.02,7407.19,7510.0
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||||
2024-04-24,7497.27,7500.77,7459.8,7455.1,7496.63,7431.4,7476.97,7509.26,7532.07,7519.69,7425.21,7500.56,7480.36,7501.79,7492.2,7399.97,7354.25,7295.49,7501.93,7410.32,7487.5
|
||||
2024-04-25,7494.2,7521.97,7429.77,7471.33,7478.92,7441.51,7488.24,7489.95,7505.15,7494.85,7433.35,7474.95,7478.76,7484.28,7477.99,7392.8,7358.79,7279.72,7481.18,7420.67,7487.5
|
||||
2024-04-26,7487.55,7493.94,7433.02,7460.56,7472.8,7448.11,7513.83,7482.12,7512.5,7489.62,7445.96,7481.97,7489.84,7486.69,7476.71,7395.86,7361.77,7288.1,7477.9,7450.74,7502.5
|
||||
2024-04-28,7492.31,7527.77,7453.0,7454.06,7481.64,7470.31,7526.84,7501.31,7531.63,7497.66,7466.42,7499.28,7485.05,7472.34,7496.09,7403.69,7365.99,7287.76,7486.34,7491.89,7527.5
|
||||
2024-04-29,7498.57,7548.47,7486.26,7431.35,7495.67,7531.22,7528.19,7533.16,7564.23,7521.28,7480.11,7535.52,7457.69,7502.54,7512.45,7415.22,7369.91,7304.96,7503.48,7512.67,7537.5
|
||||
2024-04-30,7495.75,7592.61,7496.31,7370.04,7501.83,7521.1,7525.03,7545.76,7570.16,7542.07,7482.28,7551.96,7438.24,7535.52,7529.03,7422.59,7374.53,7279.18,7509.82,7520.88,7532.5
|
||||
2024-05-06,7486.98,7575.81,7488.82,7356.33,7496.14,7475.81,7510.93,7539.36,7560.82,7539.02,7472.66,7538.92,7425.33,7523.91,7531.51,7425.09,7380.07,7292.73,7510.87,7504.35,7502.5
|
||||
2024-05-07,7459.47,7522.92,7446.9,7293.06,7472.45,7416.02,7473.61,7500.68,7517.77,7513.82,7461.0,7495.62,7401.71,7499.71,7493.95,7423.25,7385.97,7269.02,7482.75,7427.8,7475.0
|
||||
2024-05-08,7452.1,7498.92,7412.88,7266.95,7451.0,7393.7,7456.99,7466.12,7491.15,7492.59,7451.26,7466.67,7400.62,7459.54,7476.41,7422.86,7391.94,7251.08,7457.2,7413.32,7512.5
|
||||
2024-05-09,7507.17,7481.83,7470.25,7276.28,7474.45,7402.05,7487.83,7516.03,7551.66,7514.2,7457.1,7515.92,7427.3,7461.2,7499.92,7434.42,7398.46,7258.22,7479.38,7489.75,7505.0
|
||||
2024-05-10,7513.2,7490.87,7449.28,7300.66,7485.6,7421.4,7469.69,7498.91,7523.2,7512.77,7449.59,7501.96,7431.21,7468.93,7501.23,7437.45,7405.6,7252.87,7475.75,7494.29,7477.5
|
||||
2024-05-11,7483.99,7472.65,7416.67,7318.22,7474.62,7444.24,7451.12,7474.21,7495.17,7500.56,7435.79,7469.77,7434.19,7468.85,7475.62,7438.88,7412.61,7258.36,7463.97,7463.24,7475.0
|
||||
2024-05-13,7492.02,7469.96,7417.52,7332.23,7473.29,7459.2,7460.44,7485.61,7499.11,7486.36,7435.56,7462.95,7449.81,7487.18,7477.07,7448.36,7419.8,7278.9,7470.81,7462.39,7485.0
|
||||
2024-05-14,7485.84,7471.29,7430.62,7342.64,7479.87,7489.41,7462.96,7479.66,7511.71,7483.63,7457.97,7468.02,7482.82,7489.58,7495.8,7450.75,7428.02,7325.6,7475.31,7470.97,7507.5
|
||||
2024-05-15,7494.66,7527.76,7462.12,7357.79,7498.05,7496.8,7487.66,7508.05,7541.39,7503.29,7486.74,7493.37,7518.69,7500.46,7501.49,7471.96,7432.85,7329.11,7495.48,7474.04,7510.0
|
||||
2024-05-16,7486.32,7547.16,7461.93,7375.92,7505.98,7500.59,7506.94,7517.17,7536.9,7516.66,7504.73,7500.54,7524.96,7515.96,7497.25,7475.93,7436.31,7369.26,7509.39,7487.81,7525.0
|
||||
2024-05-17,7495.27,7547.66,7484.75,7363.66,7512.85,7512.16,7527.19,7534.39,7561.08,7537.95,7517.79,7529.81,7511.87,7526.4,7519.39,7487.89,7438.31,7337.0,7520.01,7495.98,7587.5
|
||||
2024-05-20,7560.91,7627.52,7571.38,7382.25,7551.36,7540.14,7599.44,7615.53,7644.78,7640.54,7541.9,7609.56,7537.17,7538.88,7591.33,7608.87,7440.06,7344.79,7572.66,7580.6,7670.0
|
||||
2024-05-21,7658.46,7702.18,7684.89,7412.29,7615.56,7572.75,7679.05,7723.06,7740.26,7767.59,7554.82,7719.04,7600.38,7599.58,7671.84,7656.84,7442.83,7387.49,7645.65,7667.59,7677.5
|
||||
2024-05-22,7658.66,7694.97,7674.66,7429.14,7638.08,7568.24,7632.54,7712.51,7717.9,7771.7,7542.16,7724.91,7588.67,7629.96,7679.33,7656.76,7446.85,7412.06,7659.85,7672.34,7677.5
|
||||
2024-05-23,7642.4,7676.73,7676.06,7435.77,7634.23,7552.03,7612.69,7712.66,7718.55,7767.44,7536.28,7722.24,7566.67,7651.84,7671.41,7581.26,7452.62,7439.62,7656.34,7653.24,7645.0
|
||||
2024-05-24,7609.85,7677.56,7617.06,7413.75,7605.9,7513.65,7579.41,7654.46,7660.86,7738.27,7534.54,7674.64,7539.22,7650.42,7640.53,7529.25,7459.19,7459.08,7620.13,7598.74,7630.0
|
||||
2024-05-27,7602.61,7604.74,7602.11,7442.68,7591.02,7509.58,7585.75,7619.81,7655.25,7679.82,7535.6,7648.6,7529.26,7610.52,7622.08,7536.4,7467.0,7448.39,7606.81,7607.49,7650.0
|
||||
2024-05-28,7621.53,7579.11,7632.67,7460.22,7604.76,7536.8,7604.37,7666.65,7688.61,7713.19,7536.61,7676.49,7535.3,7602.96,7628.69,7561.36,7475.23,7472.05,7623.2,7637.36,7690.0
|
||||
2024-05-29,7660.31,7564.95,7690.2,7542.13,7642.38,7556.52,7635.98,7722.5,7740.62,7758.82,7553.88,7726.35,7564.89,7633.76,7662.29,7584.71,7483.88,7537.41,7655.15,7643.97,7690.0
|
||||
2024-05-30,7659.5,7553.99,7679.95,7592.99,7652.8,7541.2,7625.44,7716.96,7723.41,7779.81,7572.33,7718.33,7566.44,7647.5,7675.07,7605.57,7492.21,7596.18,7666.5,7566.29,7716.67
|
||||
2024-05-31,7676.04,7592.94,7721.02,7620.88,7669.84,7558.63,7640.45,7755.05,7767.45,7825.41,7589.97,7745.55,7604.26,7679.07,7714.9,7641.48,7499.87,7620.5,7694.39,7561.95,7740.0
|
||||
2024-06-03,7690.19,7602.5,7744.59,7643.27,7692.21,7576.14,7643.83,7774.9,7783.75,7838.53,7598.89,7768.8,7652.97,7688.61,7744.76,7658.11,7507.05,7660.01,7713.29,7635.55,7720.0
|
||||
2024-06-04,7676.58,7604.72,7709.75,7625.74,7686.42,7586.88,7633.54,7732.22,7745.49,7822.4,7601.66,7739.83,7638.93,7670.32,7704.17,7640.85,7512.9,7624.79,7702.71,7650.31,7650.0
|
||||
2024-06-05,7617.42,7585.56,7608.16,7521.1,7636.97,7592.04,7619.76,7642.54,7645.94,7710.69,7592.1,7655.94,7600.55,7656.55,7622.66,7582.8,7516.58,7580.1,7640.7,7558.49,7620.0
|
||||
2024-06-06,7627.55,7601.65,7581.97,7498.69,7602.71,7600.4,7617.53,7613.13,7635.79,7570.58,7579.57,7631.12,7591.91,7629.57,7600.04,7577.28,7519.33,7549.89,7594.44,7584.87,7600.0
|
||||
2024-06-07,7620.12,7576.07,7555.8,7496.98,7587.86,7584.3,7616.1,7584.17,7614.55,7535.23,7568.33,7605.75,7595.99,7578.05,7587.0,7574.39,7522.1,7512.69,7578.68,7597.59,7606.67
|
||||
2024-06-11,7615.42,7561.42,7572.2,7494.23,7592.89,7608.43,7623.98,7598.93,7636.73,7560.02,7573.55,7615.37,7596.81,7575.98,7597.5,7578.83,7525.05,7527.02,7589.47,7608.48,7620.0
|
||||
2024-06-12,7611.62,7553.93,7591.31,7496.85,7606.43,7639.72,7624.18,7636.33,7654.1,7637.44,7589.62,7633.55,7569.36,7605.97,7609.05,7591.22,7527.96,7539.77,7601.45,7616.41,7673.33
|
||||
2024-06-13,7655.61,7603.46,7674.73,7519.39,7641.07,7638.81,7672.45,7713.7,7731.49,7805.59,7621.73,7705.76,7603.03,7659.96,7673.02,7621.81,7532.56,7584.4,7645.12,7648.14,7690.0
|
||||
2024-06-14,7662.58,7670.16,7685.94,7575.84,7660.44,7647.96,7682.6,7725.29,7731.85,7828.61,7646.61,7720.59,7639.52,7679.22,7692.25,7660.54,7536.97,7625.65,7665.64,7660.87,7690.0
|
||||
2024-06-17,7671.29,7647.84,7684.84,7597.49,7665.59,7665.5,7691.83,7715.76,7728.39,7830.33,7664.51,7720.84,7657.3,7667.72,7690.86,7643.12,7541.43,7646.18,7679.22,7629.43,7656.67
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||||
2024-06-18,7654.17,7665.9,7629.33,7606.86,7644.06,7636.13,7666.63,7667.54,7672.72,7798.64,7652.07,7680.42,7619.72,7641.58,7656.95,7592.23,7545.62,7627.04,7657.63,7638.64,7656.67
|
||||
2024-06-19,7727.11,7640.08,7638.93,7578.59,7636.68,7591.02,7659.72,7664.19,7690.23,7756.19,7637.89,7681.55,7618.03,7634.64,7654.33,7591.34,7548.8,7635.99,7636.73,7637.2,7670.0
|
||||
2024-06-20,7756.39,7659.25,7656.39,7564.65,7645.7,7595.62,7650.33,7687.96,7706.14,7773.77,7634.08,7701.54,7642.69,7644.28,7666.27,7593.11,7552.24,7671.8,7632.11,7650.3,7680.0
|
||||
2024-06-21,7726.67,7685.7,7669.65,7563.31,7659.75,7610.74,7654.26,7698.64,7717.54,7814.91,7636.12,7712.27,7668.85,7668.87,7677.59,7596.45,7556.53,7678.47,7647.91,7660.17,7680.0
|
||||
2024-06-24,7694.64,7672.12,7667.38,7570.59,7668.28,7625.21,7646.98,7705.2,7713.55,7819.28,7629.2,7707.03,7645.71,7680.38,7684.28,7592.7,7561.85,7657.72,7666.29,7648.92,7680.0
|
||||
2024-06-25,7656.97,7685.36,7667.81,7584.83,7669.49,7652.55,7639.3,7702.86,7714.04,7804.54,7638.43,7698.53,7635.15,7695.28,7680.91,7592.76,7567.32,7651.89,7677.07,7634.02,7693.33
|
||||
2024-06-26,7663.05,7700.56,7688.21,7592.06,7675.82,7671.93,7645.04,7717.94,7733.98,7810.16,7655.06,7714.51,7645.3,7714.43,7695.17,7603.42,7572.47,7672.88,7691.75,7632.18,7716.67
|
||||
2024-06-27,7677.4,7733.3,7717.34,7581.76,7688.27,7684.8,7672.33,7746.99,7762.31,7828.62,7679.04,7743.03,7653.37,7703.94,7708.81,7629.43,7577.01,7688.28,7699.69,7625.66,7723.33
|
||||
2024-06-28,7677.32,7757.11,7720.51,7600.88,7694.57,7678.53,7677.87,7750.27,7761.7,7842.71,7690.04,7751.73,7651.4,7685.27,7712.89,7630.63,7581.37,7685.2,7704.47,7616.63,7730.0
|
||||
2024-07-01,7707.93,7783.31,7729.01,7658.78,7698.83,7678.79,7708.14,7757.56,7769.41,7858.08,7695.38,7759.5,7666.04,7688.93,7720.96,7649.1,7586.13,7704.59,7715.52,7664.76,7763.33
|
||||
2024-07-02,7751.55,7828.43,7773.13,7771.68,7722.98,7680.78,7739.17,7797.09,7808.54,7880.75,7688.06,7793.55,7695.02,7722.0,7756.72,7715.2,7592.57,7759.12,7744.77,7741.74,7780.0
|
||||
2024-07-03,7762.43,7821.1,7785.83,7768.14,7737.08,7688.67,7737.38,7805.72,7814.84,7884.52,7671.07,7805.74,7699.38,7736.65,7780.01,7781.53,7600.68,7781.87,7747.47,7776.13,7800.0
|
||||
2024-07-04,7786.08,7820.99,7808.32,7778.61,7757.09,7698.67,7767.39,7826.63,7834.39,7886.31,7664.84,7824.24,7716.39,7755.69,7793.56,7744.54,7607.4,7810.21,7767.25,7795.52,7800.0
|
||||
2024-07-05,7786.85,7820.6,7802.07,7857.05,7765.0,7704.08,7775.88,7824.34,7824.23,7867.37,7675.64,7822.93,7717.42,7771.03,7787.48,7722.59,7614.78,7784.03,7781.0,7773.13,7766.67
|
||||
2024-07-08,7750.86,7775.85,7756.63,7790.97,7745.48,7728.45,7735.1,7771.43,7782.12,7830.41,7681.79,7783.1,7680.52,7766.86,7756.73,7673.49,7623.7,7743.8,7760.92,7733.4,7746.67
|
||||
2024-07-09,7722.96,7771.44,7738.08,7700.89,7723.15,7740.89,7719.52,7758.3,7770.58,7808.82,7683.28,7764.36,7650.72,7738.94,7735.36,7674.87,7632.98,7718.29,7736.34,7708.61,7720.0
|
||||
2024-07-10,7678.34,7688.29,7704.44,7589.11,7701.77,7712.37,7697.39,7727.91,7738.12,7775.17,7671.93,7736.38,7618.9,7709.76,7703.35,7668.79,7641.77,7677.77,7704.73,7692.53,7693.33
|
||||
2024-07-11,7648.69,7674.48,7673.89,7581.47,7676.21,7708.96,7680.71,7693.04,7711.88,7753.58,7666.8,7706.51,7619.0,7682.29,7677.71,7681.14,7649.18,7661.22,7672.21,7680.78,7686.67
|
||||
2024-07-12,7669.61,7650.62,7671.48,7621.69,7665.51,7658.81,7675.2,7701.66,7714.63,7765.84,7667.84,7701.91,7626.23,7678.42,7672.11,7680.77,7656.73,7648.62,7658.77,7681.25,7680.0
|
||||
2024-07-15,7674.74,7636.96,7662.9,7660.4,7664.41,7649.86,7662.4,7692.31,7707.55,7758.14,7666.8,7694.71,7642.93,7675.73,7670.65,7683.32,7663.66,7658.05,7658.65,7685.69,7680.0
|
||||
2024-07-16,7651.22,7665.87,7666.36,7679.77,7669.12,7662.39,7662.32,7694.89,7712.67,7768.03,7660.25,7693.56,7646.65,7667.06,7679.83,7685.51,7667.3,7657.69,7669.74,7726.9,7666.67
|
||||
2024-07-17,7637.9,7660.13,7645.18,7660.46,7665.03,7655.32,7661.53,7680.92,7691.54,7757.11,7655.57,7673.35,7649.5,7651.11,7662.8,7670.56,7667.2,7655.92,7665.27,7701.17,7660.0
|
||||
2024-07-18,7661.33,7666.53,7639.5,7683.98,7661.71,7662.09,7657.96,7670.44,7689.36,7759.37,7647.55,7671.03,7659.78,7652.43,7661.6,7657.73,7666.66,7654.79,7657.27,7689.07,7656.67
|
||||
2024-07-19,7665.03,7654.06,7635.24,7668.78,7662.77,7660.37,7654.84,7669.45,7686.07,7754.96,7643.93,7669.79,7665.58,7643.64,7663.61,7649.73,7666.01,7657.81,7657.13,7685.6,7656.67
|
||||
2024-07-22,7649.73,7644.27,7636.49,7644.6,7665.12,7666.42,7654.45,7668.51,7688.3,7764.49,7644.52,7672.99,7672.46,7658.74,7658.42,7642.28,7666.42,7664.4,7656.29,7667.09,7640.0
|
||||
2024-07-23,7615.23,7645.56,7610.57,7655.94,7652.1,7662.34,7634.09,7645.28,7662.61,7733.56,7646.66,7650.71,7654.92,7659.24,7642.47,7624.17,7666.82,7659.42,7638.33,7656.65,7623.33
|
||||
2024-07-24,7597.53,7650.06,7590.27,7719.11,7634.82,7637.72,7616.98,7624.78,7646.08,7661.27,7642.03,7625.71,7641.44,7656.11,7626.19,7609.78,7665.78,7651.82,7623.34,7656.74,7623.33
|
||||
2024-07-25,7608.65,7635.91,7593.96,7735.25,7627.76,7630.19,7616.05,7628.94,7653.01,7653.68,7631.24,7626.97,7640.3,7666.61,7627.16,7611.94,7663.56,7653.03,7621.39,7660.64,7616.67
|
||||
2024-07-26,7617.22,7632.98,7583.26,7719.98,7622.01,7624.53,7601.33,7616.61,7641.8,7622.3,7619.09,7615.34,7640.72,7653.16,7615.57,7609.45,7661.1,7643.86,7611.62,7667.77,7606.67
|
||||
2024-07-29,7632.45,7609.45,7571.18,7713.09,7611.68,7620.21,7594.82,7607.42,7631.3,7611.93,7608.13,7602.7,7638.04,7621.31,7607.55,7595.9,7657.72,7625.12,7607.82,7630.84,7593.33
|
||||
2024-07-30,7621.05,7605.67,7554.07,7693.67,7599.03,7601.6,7588.37,7595.38,7615.72,7591.75,7594.35,7583.41,7629.58,7602.19,7598.93,7574.65,7653.51,7600.72,7596.26,7617.22,7593.33
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||||
2024-07-31,7587.46,7604.13,7557.67,7676.02,7593.74,7595.79,7589.72,7594.85,7621.85,7591.03,7581.07,7582.76,7605.31,7587.62,7602.61,7569.93,7649.69,7571.38,7593.87,7608.1,7583.33
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||||
2024-08-01,7576.43,7594.77,7542.38,7676.91,7583.79,7575.55,7576.5,7581.67,7606.06,7578.42,7566.83,7567.78,7578.68,7581.86,7588.04,7561.38,7647.13,7543.93,7580.26,7601.32,7620.0
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||||
2024-08-02,7616.25,7599.38,7601.53,7702.78,7607.2,7603.66,7609.55,7638.54,7668.72,7714.11,7574.54,7622.81,7587.85,7601.98,7625.29,7605.34,7647.13,7558.22,7606.16,7607.22,7623.33
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||||
2024-08-05,7621.53,7592.47,7595.34,7698.87,7621.36,7617.55,7611.03,7638.07,7653.23,7735.43,7591.9,7625.9,7595.08,7607.4,7626.78,7606.12,7648.05,7577.72,7617.05,7605.43,7610.0
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||||
2024-08-06,7614.82,7598.47,7578.08,7696.71,7616.64,7609.5,7607.33,7612.45,7636.6,7706.2,7602.73,7605.37,7605.46,7622.93,7609.92,7603.31,7648.18,7593.61,7621.72,7609.77,7596.67
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||||
2024-08-07,7600.42,7592.13,7560.49,7700.19,7603.22,7600.74,7594.67,7605.4,7620.27,7632.15,7602.99,7587.78,7602.43,7620.43,7599.1,7588.53,7647.25,7581.33,7607.23,7602.89,7586.67
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||||
2024-08-08,7582.46,7579.27,7547.9,7691.99,7590.51,7583.07,7585.2,7581.87,7610.47,7580.54,7596.98,7572.43,7580.94,7599.9,7587.52,7592.21,7644.23,7643.29,7591.49,7595.2,7583.33
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||||
2024-08-09,7572.3,7579.08,7544.76,7685.98,7581.03,7579.99,7585.11,7579.56,7609.39,7579.0,7593.55,7571.36,7577.72,7584.52,7578.71,7580.27,7640.76,7661.68,7580.79,7613.95,7583.33
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||||
2024-08-12,7565.19,7562.29,7545.41,7676.57,7579.53,7568.37,7583.51,7586.38,7610.8,7581.76,7591.14,7573.16,7571.12,7579.25,7574.68,7569.9,7637.37,7675.83,7579.89,7606.85,7586.67
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||||
2024-08-13,7563.62,7566.02,7550.8,7670.48,7579.66,7581.39,7587.7,7591.05,7616.26,7595.69,7589.46,7581.39,7578.19,7586.37,7580.72,7572.45,7634.98,7685.1,7584.15,7605.62,7593.33
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||||
2024-08-14,7576.39,7581.33,7560.34,7675.32,7581.9,7581.96,7593.26,7601.19,7625.12,7601.06,7585.96,7582.96,7591.15,7583.67,7594.52,7589.33,7632.88,7686.85,7588.09,7596.56,7590.0
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||||
2024-08-15,7577.48,7580.18,7554.1,7682.5,7580.27,7581.07,7588.06,7594.36,7617.3,7594.63,7577.61,7574.04,7585.9,7573.04,7589.19,7595.72,7630.35,7676.25,7584.21,7588.85,7583.33
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||||
2024-08-16,7575.3,7564.63,7545.8,7686.68,7575.85,7576.91,7580.0,7585.32,7609.72,7583.25,7570.84,7568.21,7574.59,7570.58,7584.68,7589.57,7627.38,7665.61,7577.83,7587.43,7583.33
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||||
2024-08-19,7583.78,7564.47,7547.04,7693.78,7576.66,7590.53,7583.24,7587.57,7611.94,7580.78,7566.85,7568.77,7576.56,7563.43,7580.76,7592.1,7624.46,7672.57,7577.68,7592.79,7570.0
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||||
2024-08-20,7572.15,7547.01,7526.81,7671.45,7568.6,7580.24,7569.61,7567.35,7591.95,7568.04,7561.53,7550.82,7574.94,7559.89,7564.28,7585.51,7621.06,7668.15,7564.85,7593.95,7570.0
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||||
2024-08-21,7573.42,7547.32,7530.82,7666.64,7567.89,7575.96,7578.4,7571.05,7598.86,7567.66,7559.81,7551.3,7579.86,7556.56,7568.24,7577.28,7617.48,7658.24,7567.96,7595.48,7570.0
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||||
2024-08-22,7573.07,7553.0,7529.61,7668.62,7570.14,7576.54,7578.19,7572.59,7597.05,7564.06,7557.67,7549.96,7582.79,7558.09,7571.36,7573.0,7613.63,7649.21,7570.82,7596.41,7590.0
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||||
2024-08-23,7591.57,7570.94,7560.14,7670.81,7585.53,7577.36,7595.08,7597.17,7628.08,7602.95,7563.0,7578.88,7588.25,7580.61,7588.53,7588.33,7610.53,7651.94,7586.39,7599.99,7583.33
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||||
2024-08-26,7585.94,7559.82,7544.76,7661.83,7584.95,7583.38,7584.8,7588.16,7607.8,7587.92,7569.26,7568.6,7581.87,7588.27,7584.7,7584.03,7607.22,7649.99,7582.57,7594.95,7583.33
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||||
2024-08-27,7583.67,7562.52,7548.9,7658.7,7583.01,7588.14,7583.17,7588.62,7614.19,7590.1,7572.3,7571.03,7577.78,7596.16,7581.18,7582.94,7603.87,7646.62,7585.5,7587.22,7610.0
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||||
2024-08-28,7608.75,7573.37,7587.12,7673.3,7599.94,7608.28,7606.73,7628.21,7652.47,7664.54,7591.65,7610.38,7596.44,7602.33,7610.44,7591.02,7601.62,7649.51,7604.31,7595.06,7610.0
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||||
2024-08-29,7610.24,7581.95,7579.49,7667.2,7606.13,7611.64,7601.7,7614.17,7638.98,7657.09,7608.52,7604.72,7599.74,7592.46,7610.07,7593.12,7599.89,7651.06,7610.39,7598.34,7613.33
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||||
2024-08-30,7614.03,7597.63,7586.96,7655.72,7609.34,7627.82,7609.66,7622.84,7647.73,7683.32,7625.2,7611.68,7604.11,7604.98,7607.4,7605.44,7598.84,7655.51,7616.44,7604.42,7606.67
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||||
2024-09-02,7605.77,7607.48,7574.01,7657.55,7606.13,7623.34,7601.08,7617.14,7632.79,7647.45,7631.48,7601.88,7607.32,7602.92,7610.32,7598.03,7597.7,7649.4,7604.07,7593.73,7583.33
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||||
2024-09-03,7585.53,7591.18,7541.28,7616.14,7585.56,7597.08,7575.22,7577.4,7602.02,7584.32,7620.22,7566.19,7593.28,7584.09,7584.79,7569.87,7596.02,7632.57,7579.08,7589.84,7562.5
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||||
2024-09-04,7568.37,7571.94,7515.98,7610.57,7565.79,7581.26,7562.25,7558.08,7581.85,7545.27,7604.56,7535.46,7576.39,7572.94,7565.45,7557.33,7593.59,7618.83,7560.98,7584.89,7535.0
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||||
2024-09-05,7543.76,7554.78,7480.27,7596.32,7542.46,7560.43,7542.41,7526.06,7549.62,7514.26,7580.6,7496.51,7554.42,7552.65,7529.62,7533.45,7589.9,7609.7,7536.19,7604.62,7475.0
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||||
2024-09-06,7486.44,7535.38,7399.34,7579.63,7490.15,7530.32,7484.73,7455.8,7477.09,7467.9,7540.47,7420.37,7514.24,7518.1,7469.82,7508.77,7582.87,7581.29,7483.85,7606.65,7442.5
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||||
2024-09-09,7470.01,7515.88,7364.62,7562.42,7446.27,7498.53,7460.67,7431.29,7457.63,7439.77,7496.35,7380.39,7490.04,7478.05,7433.33,7489.86,7574.18,7557.17,7447.27,7583.34,7422.5
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||||
2024-09-10,7451.33,7504.81,7339.71,7541.21,7420.48,7477.1,7438.77,7409.71,7440.34,7417.87,7462.64,7355.09,7458.54,7445.15,7421.15,7475.16,7564.85,7527.78,7425.45,7562.5,7412.5
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||||
2024-09-11,7430.97,7491.05,7330.97,7519.37,7404.28,7462.26,7420.89,7398.85,7436.14,7408.15,7431.14,7340.45,7432.55,7418.98,7415.28,7464.61,7555.64,7498.71,7417.44,7535.0,7387.5
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||||
2024-09-12,7398.0,7478.74,7303.67,7492.92,7382.31,7444.67,7391.09,7382.94,7411.65,7396.88,7397.14,7313.15,7402.38,7400.79,7386.94,7448.76,7545.54,7460.06,7395.3,7475.01,7380.0
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||||
2024-09-13,7388.71,7460.03,7300.95,7464.13,7369.45,7424.93,7380.86,7379.25,7411.88,7392.85,7374.15,7309.57,7382.1,7401.54,7385.04,7438.55,7535.68,7439.73,7384.62,7442.51,7395.0
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||||
2024-09-14,7403.95,7464.0,7318.92,7450.39,7380.9,7417.35,7390.87,7396.28,7429.07,7406.03,7371.11,7327.5,7375.1,7403.94,7403.98,7435.49,7527.23,7421.01,7393.19,7422.53,7375.0
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||||
2024-09-18,7378.25,7450.51,7296.64,7420.48,7374.33,7397.35,7365.31,7369.65,7403.89,7405.31,7367.04,7307.74,7352.11,7382.56,7384.77,7418.46,7518.24,7376.68,7382.2,7412.61,7342.5
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||||
2024-09-19,7345.8,7424.07,7273.03,7383.78,7351.39,7367.71,7348.02,7343.67,7377.78,7405.74,7364.49,7286.64,7340.79,7371.55,7346.23,7404.98,7508.11,7313.24,7357.08,7392.25,7325.0
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||||
2024-09-20,7331.34,7411.4,7261.47,7359.5,7333.1,7352.78,7340.24,7332.29,7366.28,7407.88,7366.1,7275.0,7339.29,7357.37,7336.36,7381.77,7497.51,7277.24,7337.64,7389.01,7340.0
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||||
2024-09-23,7350.17,7409.47,7273.6,7360.28,7338.57,7354.65,7355.94,7342.36,7383.53,7413.67,7372.86,7285.44,7350.24,7359.13,7346.39,7390.63,7488.3,7253.74,7336.25,7363.92,7310.0
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||||
2024-09-24,7334.33,7387.52,7250.34,7333.1,7321.56,7341.2,7323.07,7313.94,7351.58,7405.47,7369.32,7258.87,7332.21,7339.95,7319.59,7372.23,7478.05,7233.88,7309.53,7330.44,7280.0
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||||
2024-09-25,7331.68,7358.95,7233.76,7294.82,7295.02,7325.46,7313.92,7295.67,7333.57,7389.7,7358.18,7239.93,7329.29,7318.18,7284.22,7352.1,7466.86,7208.89,7292.13,7300.88,7315.0
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||||
2024-09-26,7383.23,7354.28,7258.63,7322.43,7311.57,7337.57,7346.59,7334.2,7368.18,7395.19,7360.13,7262.58,7348.37,7337.87,7321.63,7365.79,7457.88,7369.88,7315.96,7309.91,7310.0
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||||
2024-09-27,7395.39,7342.84,7252.57,7349.44,7311.78,7332.55,7328.61,7316.26,7355.87,7383.46,7355.37,7250.85,7333.29,7314.8,7318.06,7363.19,7449.12,7426.95,7307.61,7323.36,7310.0
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||||
2024-09-29,7404.69,7328.01,7255.95,7412.08,7310.44,7339.92,7335.89,7322.03,7360.7,7391.28,7348.53,7255.08,7324.23,7308.09,7314.78,7356.94,7440.11,7459.6,7314.78,7323.36,7365.0
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||||
2024-09-30,7426.12,7341.11,7300.09,7456.35,7351.28,7360.36,7371.79,7386.81,7413.94,7423.46,7354.23,7305.8,7350.79,7337.02,7372.67,7375.01,7433.62,7526.69,7362.78,7362.27,7420.0
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||||
2024-10-08,7406.37,7396.05,7363.97,7515.23,7401.51,7391.97,7409.69,7428.8,7463.3,7450.62,7382.85,7368.46,7376.8,7366.11,7426.31,7404.72,7429.4,7614.2,7412.17,7419.09,7602.5
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||||
2024-10-09,7577.33,7574.57,7625.6,7661.65,7544.47,7607.6,7631.74,7679.46,7699.37,7713.1,7580.36,7635.88,7586.54,7484.3,7607.45,7604.1,7429.48,7766.63,7573.71,7602.24,7602.5
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||||
2024-10-10,7576.0,7601.33,7581.64,7719.31,7608.25,7677.35,7632.34,7639.99,7633.43,7766.71,7661.03,7634.72,7640.36,7542.83,7609.24,7617.74,7429.69,7786.16,7604.18,7602.37,7585.0
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||||
2024-10-11,7631.65,7624.48,7575.07,7766.2,7609.2,7714.27,7629.44,7599.98,7624.22,7788.7,7691.29,7618.88,7651.66,7572.18,7587.86,7623.61,7429.71,7764.22,7600.31,7584.85,7575.0
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||||
2024-10-12,7653.07,7598.33,7548.5,7847.1,7585.18,7706.53,7607.08,7603.88,7602.92,7740.27,7700.39,7589.1,7663.18,7571.87,7574.65,7629.57,7429.59,7716.69,7568.07,7574.84,7576.67
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||||
2024-10-14,7691.78,7608.75,7548.03,7871.49,7552.13,7690.78,7583.72,7553.81,7607.37,7730.31,7696.8,7583.52,7677.65,7557.6,7562.15,7651.37,7429.44,7670.88,7546.73,7576.1,7565.0
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||||
2024-10-15,7639.02,7604.74,7524.41,7792.94,7538.07,7647.37,7550.89,7554.31,7587.3,7702.48,7678.15,7562.07,7640.33,7526.24,7536.04,7653.55,7429.02,7615.24,7536.11,7564.45,7527.5
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||||
2024-10-16,7560.16,7584.03,7472.19,7524.15,7510.13,7557.71,7500.61,7525.6,7538.71,7580.69,7620.62,7490.21,7571.23,7510.21,7483.04,7574.04,7427.96,7569.48,7510.9,7522.37,7477.5
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||||
2024-10-17,7497.05,7571.56,7406.36,7436.05,7462.23,7506.3,7433.55,7466.97,7484.21,7495.48,7551.6,7417.59,7502.19,7486.54,7451.01,7481.14,7425.86,7531.56,7464.61,7505.66,7467.5
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||||
2024-10-18,7485.83,7576.53,7400.38,7405.13,7439.71,7492.0,7417.06,7460.72,7487.02,7473.88,7503.86,7368.89,7465.12,7435.8,7465.36,7460.77,7423.55,7513.17,7448.06,7457.38,7370.0
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||||
2024-10-21,7344.19,7448.06,7278.98,7367.94,7369.4,7422.88,7311.05,7344.49,7375.82,7434.49,7406.12,7267.31,7378.31,7359.09,7361.07,7360.86,7418.39,7455.82,7359.83,7457.08,7362.5
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||||
2024-10-22,7325.96,7412.3,7285.18,7351.41,7343.75,7341.76,7318.72,7356.17,7398.84,7424.42,7348.14,7270.19,7359.63,7331.88,7344.37,7359.19,7413.08,7435.49,7339.82,7498.96,7346.67
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||||
2024-10-23,7300.58,7353.2,7269.19,7345.42,7330.7,7285.19,7316.86,7347.0,7376.53,7407.48,7302.48,7257.8,7344.1,7307.03,7315.78,7345.47,7407.29,7416.71,7328.57,7479.02,7357.5
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||||
2024-10-24,7327.36,7330.89,7282.53,7334.39,7335.02,7320.17,7344.86,7348.92,7396.87,7389.91,7289.94,7275.05,7332.82,7332.66,7343.01,7344.94,7401.82,7432.15,7340.73,7461.51,7352.5
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||||
2024-10-25,7343.94,7307.17,7278.58,7353.38,7347.83,7335.72,7367.26,7362.14,7388.07,7392.13,7273.09,7271.2,7327.52,7320.14,7359.31,7334.4,7396.39,7461.64,7356.27,7405.27,7372.5
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||||
2024-10-28,7348.35,7346.41,7299.95,7382.28,7373.17,7332.05,7394.25,7378.33,7413.72,7409.43,7278.91,7304.22,7355.17,7345.4,7380.76,7341.12,7391.81,7485.78,7385.35,7352.0,7373.33
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||||
2024-10-29,7362.26,7347.62,7299.38,7403.71,7382.63,7372.1,7388.31,7376.75,7408.46,7425.13,7307.02,7317.3,7360.51,7394.13,7388.48,7339.41,7387.2,7506.54,7374.2,7368.01,7380.0
|
||||
2024-10-30,7368.73,7372.31,7309.24,7410.82,7385.75,7428.36,7376.78,7383.46,7418.25,7445.98,7354.4,7342.89,7363.36,7410.4,7387.01,7346.05,7383.02,7505.69,7359.37,7437.75,7330.0
|
||||
2024-10-31,7311.11,7337.7,7264.33,7417.51,7354.56,7416.21,7295.6,7331.68,7363.08,7446.37,7349.71,7310.97,7345.95,7400.75,7339.24,7304.52,7377.33,7490.8,7331.52,7393.39,7340.0
|
||||
2024-11-01,7325.45,7340.67,7277.19,7403.85,7350.09,7391.7,7325.08,7346.34,7386.1,7448.67,7361.61,7319.58,7370.1,7385.94,7339.78,7319.82,7372.31,7485.72,7337.9,7388.84,7363.33
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||||
2024-11-04,7380.95,7383.65,7292.43,7383.24,7362.64,7391.41,7347.38,7368.79,7402.84,7453.22,7370.16,7335.67,7402.01,7359.02,7359.95,7345.06,7368.38,7497.59,7359.38,7382.9,7360.0
|
||||
2024-11-05,7384.76,7385.63,7289.12,7346.33,7359.37,7429.52,7351.29,7355.62,7396.87,7454.93,7371.16,7325.31,7409.42,7374.6,7372.07,7351.83,7364.63,7481.09,7351.21,7367.23,7357.5
|
||||
2024-11-06,7372.14,7355.21,7288.76,7314.96,7358.52,7411.56,7351.78,7368.22,7396.45,7452.88,7354.85,7322.02,7400.71,7361.08,7378.69,7358.67,7361.11,7474.57,7344.45,7366.55,7383.33
|
||||
2024-11-07,7394.49,7360.17,7314.98,7313.69,7372.23,7396.45,7372.83,7393.67,7424.33,7451.24,7358.23,7334.24,7417.74,7365.87,7401.06,7365.66,7359.13,7468.38,7365.83,7385.99,7366.67
|
||||
2024-11-08,7367.07,7340.66,7293.82,7316.41,7367.46,7382.51,7359.92,7362.61,7398.7,7438.23,7354.98,7304.15,7401.83,7383.2,7376.13,7365.23,7357.25,7458.3,7358.59,7369.13,7383.33
|
||||
2024-11-11,7385.33,7367.98,7315.88,7312.9,7378.33,7404.64,7387.22,7388.8,7424.18,7437.92,7365.14,7305.25,7419.91,7362.62,7385.12,7370.33,7356.28,7474.63,7378.79,7380.81,7340.0
|
||||
2024-11-12,7348.61,7291.9,7270.91,7276.3,7360.35,7418.77,7340.51,7341.66,7370.75,7421.61,7353.11,7263.97,7401.87,7368.74,7336.24,7330.87,7354.22,7450.79,7358.86,7365.14,7306.67
|
||||
2024-11-13,7332.29,7268.64,7251.3,7254.86,7321.8,7370.7,7316.54,7309.23,7352.06,7407.6,7345.42,7241.63,7403.21,7337.77,7293.72,7283.12,7351.63,7422.7,7318.66,7366.33,7323.33
|
||||
2024-11-14,7344.44,7272.3,7257.76,7244.21,7333.12,7360.61,7371.92,7303.81,7360.68,7413.77,7340.82,7254.99,7417.81,7357.29,7319.99,7274.54,7348.14,7390.92,7325.41,7400.55,7353.33
|
||||
2024-11-15,7319.74,7273.8,7268.91,7230.74,7333.59,7348.71,7348.61,7284.0,7349.73,7441.16,7343.64,7265.12,7418.84,7321.15,7309.22,7271.93,7337.24,7383.45,7336.21,7391.44,7393.33
|
||||
2024-11-18,7317.36,7293.89,7282.1,7208.8,7330.95,7366.03,7319.87,7297.49,7368.11,7442.79,7338.93,7287.87,7411.82,7370.53,7321.93,7272.12,7360.05,7365.12,7326.46,7397.05,7363.33
|
||||
2024-11-19,7307.74,7295.89,7310.31,7191.16,7332.0,7325.75,7319.12,7335.5,7371.58,7436.03,7333.44,7305.78,7369.13,7344.6,7332.86,7272.76,7349.71,7334.35,7334.74,7399.99,7370.0
|
||||
2024-11-20,7337.59,7316.53,7313.05,7342.47,7344.39,7306.89,7350.64,7378.3,7405.32,7418.54,7321.07,7320.57,7338.04,7387.81,7361.4,7362.29,7351.25,7331.53,7354.71,7376.74,
|
||||
2024-11-21,7317.17,7307.52,7316.97,7328.65,7332.21,7313.82,7338.19,7370.33,7411.06,7428.94,7317.81,7327.25,7336.69,7338.95,7351.55,7367.47,7347.77,7312.24,7317.22,7363.68,
|
||||
2024-11-22,7297.24,7303.13,7326.41,7326.86,7312.23,7317.62,7323.69,7346.49,7403.67,7445.02,7312.61,7330.36,7338.74,7334.72,7364.72,7364.16,7336.86,7308.51,7293.33,7345.68,
|
||||
2024-11-25,7303.15,7296.9,7344.72,7335.47,7295.32,7333.21,7318.15,7358.58,7420.51,7441.58,7302.02,7356.28,7322.75,7303.17,7395.47,7359.94,7359.68,7302.15,7295.56,7386.05,
|
||||
2024-11-26,7291.95,7311.98,7373.82,7342.08,7280.39,7364.26,7291.85,7386.51,7420.56,7449.44,7294.83,7374.35,7319.28,7310.3,7329.59,7357.71,7349.34,7286.71,7291.14,7341.73,
|
||||
|
||||
|
Binary file not shown.
@ -1,21 +1,21 @@
|
||||
模型(Model),平均平方误差(MSE),均方根误差(RMSE),平均绝对误差(MAE)
|
||||
NLinear,811.576,28.488,19.74
|
||||
RNN,897.124,29.952,22.074
|
||||
TiDE,1015.113,31.861,23.22
|
||||
LSTM,1072.179,32.744,25.674
|
||||
DilatedRNN,1323.952,36.386,28.347
|
||||
PatchTST,1353.449,36.789,26.175
|
||||
TSMixer,1467.982,38.314,28.163
|
||||
NHITS,1589.956,39.874,30.203
|
||||
GRU,1764.144,42.002,35.821
|
||||
DLinear,1831.303,42.794,30.357
|
||||
DeepNPTS,2890.076,53.759,38.553
|
||||
TFT,3040.148,55.138,42.36
|
||||
MLP,3459.517,58.818,45.679
|
||||
Informer,3635.914,60.299,44.59
|
||||
TSMixerx,4352.664,65.975,49.521
|
||||
BiTCN,4825.292,69.464,53.842
|
||||
TCN,6703.221,81.873,65.098
|
||||
iTransformer,12283.86,110.833,78.95
|
||||
MLPMultivariate,12681.278,112.611,82.881
|
||||
StemGNN,12731.685,112.835,91.7
|
||||
NLinear,845.356,29.075,20.267
|
||||
RNN,972.286,31.182,22.988
|
||||
TiDE,1028.451,32.069,23.463
|
||||
TSMixer,1302.964,36.097,25.947
|
||||
PatchTST,1328.982,36.455,25.99
|
||||
NHITS,1562.545,39.529,29.168
|
||||
DilatedRNN,1841.868,42.917,31.132
|
||||
DLinear,1865.095,43.187,30.754
|
||||
GRU,1948.117,44.137,37.899
|
||||
LSTM,3160.178,56.215,46.181
|
||||
Informer,3291.08,57.368,42.942
|
||||
DeepNPTS,3342.861,57.817,42.448
|
||||
MLP,3377.778,58.119,44.678
|
||||
TFT,3480.96,59.0,45.242
|
||||
TSMixerx,4424.076,66.514,50.562
|
||||
BiTCN,4426.452,66.532,51.306
|
||||
TCN,6855.79,82.8,68.446
|
||||
iTransformer,11338.897,106.484,86.463
|
||||
StemGNN,12423.222,111.46,91.022
|
||||
MLPMultivariate,12947.138,113.785,84.447
|
||||
|
||||
|
@ -1,6 +1,6 @@
|
||||
unique_id,ds,NHITS,Informer,LSTM,iTransformer,TSMixer,TSMixerx,PatchTST,RNN,GRU,TCN,BiTCN,DilatedRNN,MLP,DLinear,NLinear,TFT,FEDformer,StemGNN,MLPMultivariate,TiDE,DeepNPTS
|
||||
1,2024-11-19,7359.205,7325.434,7374.6274,7342.029,7352.7837,7343.613,7342.73,7372.2515,7381.781,7449.0703,7317.2397,7350.607,7326.661,7375.8584,7335.603,7364.06,,7345.604,7354.3696,7365.8433,7367.143
|
||||
1,2024-11-20,7339.673,7303.256,7375.402,7320.6665,7341.1157,7339.045,7337.2275,7369.62,7401.5024,7449.8086,7307.5415,7353.703,7321.7114,7326.1914,7327.6973,7355.3086,,7343.625,7344.175,7327.1714,7372.8594
|
||||
1,2024-11-21,7313.6357,7310.424,7380.7524,7315.6226,7321.9478,7387.099,7330.402,7346.7344,7399.866,7443.933,7302.4478,7366.744,7310.202,7341.9395,7341.784,7348.7305,,7331.544,7333.9355,7305.503,7363.116
|
||||
1,2024-11-22,7296.4775,7321.025,7392.479,7309.1006,7300.343,7376.246,7299.7417,7331.8857,7405.181,7451.1577,7291.023,7360.911,7294.7803,7323.8164,7406.1123,7343.8184,,7342.9673,7315.0786,7304.238,7363.372
|
||||
1,2024-11-25,7286.6978,7319.3916,7421.4077,7314.2144,7278.512,7335.186,7267.798,7370.676,7405.2725,7454.4453,7288.7314,7384.3545,7295.8447,7330.956,7369.3687,7341.7007,,7353.839,7304.878,7295.6865,7353.2183
|
||||
1,2024-11-20,7337.594,7316.5264,7313.051,7342.468,7344.392,7306.8916,7350.6377,7378.303,7405.318,7418.5396,7321.0723,7320.571,7338.035,7387.8057,7361.405,7362.294,,7351.2534,7331.5254,7354.707,7376.7446
|
||||
1,2024-11-21,7317.166,7307.525,7316.9746,7328.6523,7332.2124,7313.822,7338.1885,7370.3306,7411.06,7428.9434,7317.8125,7327.2505,7336.689,7338.9487,7351.548,7367.47,,7347.7666,7312.2354,7317.218,7363.681
|
||||
1,2024-11-22,7297.237,7303.1304,7326.406,7326.8555,7312.2275,7317.625,7323.693,7346.49,7403.6733,7445.0225,7312.6143,7330.3555,7338.735,7334.716,7364.716,7364.164,,7336.8613,7308.5083,7293.3335,7345.6753
|
||||
1,2024-11-25,7303.1514,7296.904,7344.721,7335.4663,7295.3184,7333.2104,7318.1465,7358.585,7420.508,7441.583,7302.0195,7356.277,7322.7534,7303.1694,7395.4727,7359.9365,,7359.6836,7302.15,7295.5586,7386.0483
|
||||
1,2024-11-26,7291.9507,7311.975,7373.8174,7342.075,7280.3906,7364.2593,7291.8506,7386.514,7420.5625,7449.439,7294.8267,7374.346,7319.2783,7310.3,7329.5864,7357.711,,7349.3394,7286.713,7291.1426,7341.7344
|
||||
|
||||
|
@ -1,206 +1,206 @@
|
||||
ds,NHITS,Informer,LSTM,iTransformer,TSMixer,TSMixerx,PatchTST,RNN,GRU,TCN,BiTCN,DilatedRNN,MLP,DLinear,NLinear,TFT,StemGNN,MLPMultivariate,TiDE,DeepNPTS,y
|
||||
2024-01-29,7327.54,7371.29,7327.98,7384.88,7303.02,7287.33,7292.89,7315.12,7343.6,7448.81,7326.19,7305.51,7323.52,7296.29,7310.33,7284.56,7305.08,7307.85,7296.64,7296.58,7305.0
|
||||
2024-01-30,7323.87,7345.87,7337.31,7389.43,7298.24,7304.34,7293.09,7323.49,7353.22,7449.26,7332.46,7312.26,7328.59,7281.35,7304.5,7300.72,7302.7,7318.95,7297.0,7304.78,7315.0
|
||||
2024-01-31,7324.15,7346.47,7344.21,7380.46,7308.31,7304.1,7294.49,7331.7,7359.12,7457.24,7342.73,7323.04,7320.56,7292.95,7297.57,7318.6,7301.14,7334.67,7303.24,7314.47,7302.5
|
||||
2024-02-01,7310.36,7350.73,7330.01,7368.2,7301.07,7305.61,7286.25,7318.49,7346.67,7454.66,7335.99,7307.86,7320.18,7289.85,7286.74,7300.7,7300.0,7329.82,7302.62,7301.44,7275.0
|
||||
2024-02-02,7293.69,7327.78,7309.33,7373.02,7273.72,7281.96,7266.09,7301.23,7324.77,7439.28,7308.17,7276.55,7291.01,7277.53,7261.4,7276.11,7297.48,7296.47,7281.35,7281.49,7242.5
|
||||
2024-02-04,7254.43,7283.66,7289.7,7339.78,7239.73,7246.94,7231.94,7275.87,7300.41,7419.08,7273.83,7247.99,7247.88,7248.6,7243.9,7245.49,7293.53,7245.1,7250.1,7275.04,7240.0
|
||||
2024-02-05,7250.29,7259.14,7291.3,7286.88,7225.65,7210.31,7228.4,7274.82,7302.66,7410.31,7243.09,7250.31,7235.75,7227.82,7230.87,7230.15,7289.29,7232.53,7231.23,7243.13,7227.5
|
||||
2024-02-06,7238.12,7245.94,7284.38,7245.93,7214.97,7191.32,7208.56,7264.12,7290.83,7402.4,7214.51,7247.19,7215.73,7210.97,7213.27,7208.05,7284.47,7215.47,7216.57,7240.12,7246.67
|
||||
2024-02-07,7250.07,7249.58,7298.53,7246.31,7225.56,7233.26,7233.51,7282.69,7310.77,7411.92,7197.42,7269.31,7226.51,7226.73,7229.02,7225.51,7280.56,7230.76,7231.61,7227.76,7255.0
|
||||
2024-02-08,7255.89,7238.05,7302.06,7239.05,7240.02,7246.68,7249.72,7290.17,7314.03,7416.26,7187.06,7274.24,7236.22,7231.46,7251.08,7240.22,7277.06,7237.26,7253.37,7246.68,7270.0
|
||||
2024-02-18,7255.75,7235.38,7313.8,7233.69,7255.69,7255.58,7265.83,7300.25,7328.57,7421.75,7188.82,7284.88,7247.14,7230.47,7268.08,7275.0,7274.52,7246.07,7273.11,7254.99,7336.67
|
||||
2024-02-19,7328.24,7286.07,7381.02,7275.31,7308.41,7310.31,7327.43,7366.18,7388.41,7447.08,7280.03,7355.52,7284.43,7281.5,7344.23,7354.4,7273.63,7291.66,7323.83,7270.38,7350.0
|
||||
2024-02-20,7340.94,7314.03,7381.57,7320.35,7338.18,7366.51,7341.79,7363.28,7388.78,7459.81,7353.13,7385.1,7303.85,7305.54,7355.22,7374.68,7273.2,7317.23,7334.72,7315.85,7335.0
|
||||
2024-02-21,7328.09,7291.25,7364.24,7319.25,7332.97,7412.64,7331.43,7349.38,7375.82,7465.63,7385.73,7387.23,7307.38,7333.67,7337.79,7342.36,7272.39,7318.1,7325.39,7314.47,7297.5
|
||||
2024-02-22,7287.87,7267.14,7325.02,7277.25,7305.41,7391.88,7303.83,7321.02,7340.78,7453.1,7382.02,7339.71,7294.56,7318.52,7298.75,7277.44,7270.51,7301.04,7291.38,7276.98,7285.0
|
||||
2024-02-23,7274.4,7269.57,7318.81,7248.73,7289.09,7370.73,7297.79,7303.7,7335.42,7444.23,7366.25,7323.17,7289.08,7303.61,7282.35,7266.32,7268.19,7293.09,7280.01,7282.8,7306.67
|
||||
2024-02-26,7317.08,7264.94,7337.71,7258.44,7297.69,7360.07,7324.84,7325.02,7354.15,7444.26,7362.54,7327.9,7317.03,7295.98,7301.97,7291.58,7266.69,7302.36,7294.47,7344.75,7292.5
|
||||
2024-02-27,7324.86,7265.31,7320.64,7250.01,7294.19,7304.11,7298.21,7308.62,7337.19,7439.27,7344.69,7310.37,7318.04,7292.7,7282.65,7268.99,7265.18,7294.64,7286.29,7335.9,7306.67
|
||||
2024-02-28,7350.44,7289.53,7338.22,7309.69,7298.81,7324.0,7322.15,7329.78,7355.81,7445.01,7333.11,7324.66,7333.3,7311.24,7305.73,7297.46,7264.32,7302.66,7303.67,7363.84,7353.33
|
||||
2024-02-29,7364.92,7312.73,7388.84,7333.98,7331.49,7367.62,7367.57,7377.53,7397.03,7453.38,7342.48,7349.71,7365.78,7333.87,7360.89,7322.64,7264.33,7322.6,7342.49,7352.62,7325.0
|
||||
2024-03-01,7321.58,7316.24,7343.94,7309.51,7320.66,7330.76,7334.34,7332.16,7359.97,7443.02,7323.63,7307.3,7329.62,7315.68,7335.52,7305.79,7264.18,7304.35,7325.91,7320.04,7343.33
|
||||
2024-03-04,7340.8,7317.33,7376.92,7311.15,7328.22,7340.47,7340.31,7365.15,7388.86,7450.74,7315.87,7323.96,7323.98,7333.25,7339.48,7315.33,7264.33,7301.3,7341.73,7340.63,7330.0
|
||||
2024-03-05,7315.29,7324.32,7350.44,7305.61,7325.74,7339.79,7318.97,7344.85,7365.55,7451.88,7304.36,7319.43,7316.46,7325.93,7321.51,7307.34,7264.21,7297.3,7327.12,7328.32,7310.0
|
||||
2024-03-06,7308.37,7325.7,7334.63,7294.16,7305.63,7325.18,7312.54,7318.27,7352.91,7447.44,7298.88,7308.51,7313.02,7309.36,7297.3,7288.71,7263.76,7286.98,7300.48,7306.5,7297.5
|
||||
2024-03-07,7299.86,7322.53,7324.67,7282.33,7294.87,7306.71,7313.41,7321.12,7342.72,7440.57,7289.94,7302.04,7319.49,7285.37,7297.06,7280.81,7263.15,7286.31,7293.88,7289.42,7290.0
|
||||
2024-03-08,7284.22,7300.35,7319.86,7274.83,7286.74,7293.73,7302.8,7307.93,7337.87,7436.35,7274.2,7299.68,7286.94,7284.21,7288.37,7276.83,7262.76,7277.18,7291.02,7296.59,7295.0
|
||||
2024-03-11,7271.27,7287.88,7325.34,7269.57,7283.7,7281.61,7304.64,7315.33,7343.5,7434.85,7270.74,7301.9,7264.77,7297.51,7293.47,7279.98,7262.81,7273.09,7289.34,7281.02,7285.0
|
||||
2024-03-12,7252.84,7289.89,7316.38,7238.32,7271.27,7285.97,7283.58,7308.11,7333.67,7423.91,7273.67,7295.14,7244.6,7296.69,7275.31,7274.42,7264.09,7267.18,7270.4,7242.84,7283.33
|
||||
2024-03-13,7248.94,7289.63,7317.69,7233.04,7267.63,7290.31,7281.2,7307.19,7335.38,7425.88,7268.58,7309.18,7235.08,7304.14,7278.21,7275.33,7265.65,7265.26,7272.33,7235.62,7285.0
|
||||
2024-03-14,7265.67,7272.35,7319.05,7246.86,7274.3,7281.33,7285.09,7310.26,7336.26,7424.37,7279.02,7310.25,7246.55,7274.92,7288.54,7285.69,7269.2,7272.8,7280.93,7245.84,7277.5
|
||||
2024-03-15,7268.02,7272.38,7313.29,7252.22,7272.37,7267.28,7274.58,7300.8,7329.86,7422.91,7276.36,7300.48,7249.94,7253.63,7269.2,7284.16,7271.75,7274.0,7279.15,7275.57,7353.33
|
||||
2024-03-18,7347.52,7331.59,7398.1,7300.4,7319.2,7299.25,7365.29,7379.18,7404.8,7454.79,7304.76,7381.73,7306.57,7305.65,7353.59,7387.27,7274.58,7304.16,7330.82,7352.64,7387.5
|
||||
2024-03-19,7383.2,7377.06,7422.18,7337.72,7360.54,7351.51,7392.03,7400.81,7423.66,7474.67,7313.87,7416.08,7356.26,7326.81,7393.41,7420.57,7276.23,7330.54,7363.47,7386.88,7435.0
|
||||
2024-03-20,7431.32,7405.09,7481.7,7376.29,7402.01,7385.96,7459.23,7451.43,7481.06,7500.15,7329.38,7477.52,7408.8,7385.25,7441.38,7446.61,7277.8,7375.82,7414.87,7433.1,7460.0
|
||||
2024-03-21,7458.23,7401.49,7497.22,7416.58,7435.34,7399.19,7477.4,7484.97,7496.09,7515.96,7349.72,7505.51,7430.26,7433.87,7467.83,7466.18,7280.62,7415.17,7449.45,7440.95,7422.5
|
||||
2024-03-22,7407.08,7385.58,7442.54,7427.62,7418.86,7399.51,7396.74,7421.23,7442.49,7503.78,7352.84,7447.2,7399.15,7426.65,7428.19,7410.61,7284.13,7404.03,7430.58,7399.98,7402.5
|
||||
2024-03-25,7390.93,7341.74,7425.1,7351.02,7389.62,7396.72,7393.91,7412.02,7429.24,7493.73,7344.59,7410.24,7372.03,7425.95,7402.73,7362.53,7285.9,7383.56,7400.51,7386.46,7372.5
|
||||
2024-03-26,7347.33,7326.36,7383.73,7310.72,7358.05,7389.99,7351.15,7374.38,7394.84,7478.16,7345.4,7372.22,7346.88,7391.77,7355.68,7335.91,7286.96,7355.52,7355.3,7348.98,7365.0
|
||||
2024-03-27,7332.67,7312.63,7381.71,7327.69,7341.74,7356.66,7347.59,7365.01,7395.24,7472.17,7348.8,7371.09,7330.06,7369.82,7345.87,7337.23,7287.96,7336.09,7351.86,7342.38,7345.0
|
||||
2024-03-28,7318.95,7314.23,7356.68,7325.77,7325.55,7327.43,7330.24,7354.81,7374.07,7455.5,7348.21,7331.05,7302.67,7352.37,7328.51,7320.33,7288.74,7314.21,7333.58,7330.55,7345.0
|
||||
2024-03-29,7333.3,7331.35,7363.25,7327.67,7319.56,7301.55,7328.18,7355.11,7380.95,7447.57,7334.74,7327.27,7288.54,7335.81,7336.81,7319.3,7289.92,7297.93,7332.41,7343.51,7345.0
|
||||
2024-04-01,7348.05,7330.57,7362.77,7332.96,7322.2,7298.06,7329.02,7358.66,7379.31,7439.07,7324.08,7319.56,7297.91,7335.11,7344.4,7319.01,7290.86,7297.93,7334.57,7336.61,7360.0
|
||||
2024-04-02,7354.85,7323.4,7383.79,7332.65,7333.63,7305.61,7343.25,7371.61,7396.96,7439.3,7319.5,7330.72,7310.54,7330.5,7355.11,7328.96,7291.78,7303.89,7341.66,7354.63,7380.0
|
||||
2024-04-03,7365.36,7363.44,7406.76,7337.82,7351.97,7328.92,7372.84,7392.54,7415.12,7455.35,7328.3,7365.47,7333.11,7329.49,7376.28,7337.59,7293.34,7332.99,7356.93,7368.23,7397.5
|
||||
2024-04-07,7393.17,7399.15,7426.61,7353.03,7376.49,7376.75,7414.11,7407.82,7431.87,7469.02,7340.05,7401.16,7367.35,7352.12,7391.14,7345.16,7296.03,7358.92,7389.73,7383.01,7437.5
|
||||
2024-04-08,7446.69,7449.75,7475.26,7373.37,7410.56,7404.13,7471.23,7453.16,7476.52,7494.46,7348.69,7462.4,7410.81,7377.58,7435.09,7383.23,7300.34,7398.07,7432.4,7434.56,7490.0
|
||||
2024-04-09,7504.9,7467.54,7530.61,7433.77,7452.01,7425.34,7513.39,7508.93,7533.46,7525.64,7357.86,7528.49,7454.96,7437.01,7491.25,7428.23,7304.74,7457.52,7473.55,7489.28,7507.5
|
||||
2024-04-10,7507.67,7467.99,7538.11,7542.22,7472.33,7420.04,7503.44,7518.16,7542.64,7545.15,7374.81,7566.42,7470.54,7473.43,7509.8,7433.5,7310.03,7488.79,7488.68,7506.2,7497.5
|
||||
2024-04-11,7471.36,7447.97,7520.09,7595.64,7468.23,7408.33,7456.56,7507.32,7523.82,7548.46,7392.38,7548.81,7429.43,7498.08,7501.92,7419.36,7314.95,7464.22,7485.5,7461.34,7497.5
|
||||
2024-04-12,7441.47,7422.59,7520.65,7489.62,7460.53,7422.05,7457.34,7508.16,7525.23,7549.5,7408.37,7551.69,7408.99,7522.65,7488.91,7405.51,7319.85,7442.42,7475.94,7381.11,7506.67
|
||||
2024-04-15,7437.49,7392.71,7528.99,7359.85,7460.77,7406.3,7457.88,7511.0,7534.34,7550.29,7422.12,7559.66,7408.64,7505.06,7499.32,7414.59,7324.39,7350.28,7478.66,7390.39,7482.5
|
||||
2024-04-16,7414.4,7356.55,7493.42,7320.82,7445.33,7389.55,7430.34,7479.15,7495.79,7530.0,7414.8,7504.09,7384.23,7474.41,7463.96,7395.26,7326.74,7316.68,7464.25,7352.03,7495.0
|
||||
2024-04-17,7418.15,7345.34,7517.47,7244.33,7448.57,7372.91,7443.81,7505.07,7524.59,7532.58,7416.41,7509.97,7377.52,7468.47,7480.95,7402.17,7328.88,7308.76,7469.45,7336.17,7497.5
|
||||
2024-04-18,7436.24,7365.21,7513.57,7192.38,7453.6,7372.54,7432.96,7503.99,7517.93,7524.56,7417.28,7494.44,7394.34,7452.7,7495.29,7403.77,7331.62,7302.16,7473.56,7444.7,7497.5
|
||||
2024-04-19,7447.08,7350.32,7514.88,7205.88,7455.57,7376.24,7410.53,7499.09,7521.58,7514.49,7414.34,7484.98,7403.57,7462.21,7490.31,7405.58,7335.87,7309.31,7468.85,7449.0,7527.5
|
||||
2024-04-22,7475.88,7423.16,7553.94,7254.19,7479.88,7386.67,7447.72,7543.1,7564.77,7529.09,7418.21,7513.38,7448.4,7465.62,7534.03,7424.22,7340.89,7353.61,7495.13,7507.16,7527.5
|
||||
2024-04-23,7483.17,7425.91,7543.4,7290.92,7493.7,7412.12,7452.95,7529.65,7551.13,7530.61,7420.4,7510.63,7476.78,7493.62,7519.16,7425.58,7345.31,7389.05,7508.08,7474.14,7510.0
|
||||
2024-04-24,7489.82,7449.76,7522.43,7284.6,7487.66,7426.27,7472.05,7511.78,7529.63,7526.36,7421.74,7485.46,7485.09,7501.46,7492.88,7420.0,7350.44,7407.38,7501.62,7474.42,7487.5
|
||||
2024-04-25,7478.17,7459.27,7497.68,7280.8,7470.32,7445.5,7489.49,7493.36,7502.21,7512.97,7428.15,7459.13,7481.87,7483.92,7478.55,7422.14,7354.99,7425.65,7481.11,7463.77,7487.5
|
||||
2024-04-26,7471.79,7504.41,7503.64,7251.0,7463.42,7473.47,7521.54,7488.07,7509.47,7511.23,7437.15,7478.42,7488.64,7486.83,7477.29,7424.85,7357.93,7426.34,7478.56,7483.43,7502.5
|
||||
2024-04-28,7467.89,7518.13,7521.81,7174.11,7470.82,7479.49,7536.93,7508.17,7528.39,7516.84,7455.74,7505.59,7480.88,7472.89,7496.72,7427.1,7362.14,7417.9,7486.94,7501.28,7527.5
|
||||
2024-04-29,7481.1,7537.41,7551.26,7198.68,7484.31,7493.62,7539.07,7535.14,7561.36,7538.57,7471.26,7551.52,7456.97,7503.59,7513.18,7435.48,7365.99,7410.41,7503.56,7523.13,7537.5
|
||||
2024-04-30,7485.56,7594.84,7557.28,7254.42,7491.22,7476.7,7528.7,7545.33,7567.36,7559.4,7475.39,7570.71,7438.04,7536.98,7529.87,7442.82,7370.56,7405.34,7509.73,7512.24,7532.5
|
||||
2024-05-06,7483.94,7574.7,7548.46,7325.23,7489.19,7448.35,7506.84,7539.17,7557.91,7552.76,7467.6,7562.01,7421.79,7525.62,7532.45,7444.39,7376.1,7394.27,7509.66,7408.65,7502.5
|
||||
2024-05-07,7454.26,7549.21,7509.9,7428.31,7469.92,7432.5,7468.81,7503.76,7514.61,7528.46,7455.19,7517.82,7393.69,7501.23,7494.93,7449.21,7382.07,7369.93,7480.75,7366.6,7475.0
|
||||
2024-05-08,7448.62,7504.08,7483.78,7341.15,7449.91,7422.82,7453.71,7472.99,7488.15,7506.29,7444.99,7489.62,7390.3,7460.89,7477.19,7433.97,7388.17,7356.53,7456.13,7334.04,7512.5
|
||||
2024-05-09,7489.41,7492.55,7538.78,7228.58,7471.97,7432.32,7488.34,7522.5,7548.68,7532.69,7450.95,7550.51,7421.94,7462.06,7500.77,7464.86,7394.79,7365.0,7478.99,7376.05,7505.0
|
||||
2024-05-10,7502.58,7503.25,7515.71,7238.33,7480.19,7439.46,7474.0,7502.34,7519.2,7530.79,7445.66,7522.23,7430.08,7469.07,7501.89,7461.89,7402.07,7366.89,7475.33,7327.73,7477.5
|
||||
2024-05-11,7477.01,7468.49,7487.68,7269.38,7466.02,7463.35,7461.11,7477.54,7492.72,7517.63,7434.93,7478.03,7432.49,7469.02,7476.03,7443.91,7409.29,7377.38,7464.25,7457.58,7475.0
|
||||
2024-05-13,7485.15,7465.77,7491.34,7315.73,7466.45,7476.06,7467.47,7489.51,7496.05,7504.56,7435.73,7466.04,7449.36,7487.14,7477.51,7445.1,7416.69,7406.58,7470.81,7469.83,7485.0
|
||||
2024-05-14,7477.14,7476.03,7503.63,7392.31,7473.35,7492.1,7466.7,7485.68,7508.49,7498.11,7457.67,7471.83,7481.71,7489.56,7496.26,7459.57,7425.19,7437.05,7474.59,7482.29,7507.5
|
||||
2024-05-15,7489.91,7539.15,7530.81,7430.45,7490.52,7527.63,7486.06,7514.31,7538.25,7516.15,7484.43,7502.17,7517.09,7500.93,7501.97,7472.1,7430.11,7472.37,7495.54,7499.29,7510.0
|
||||
2024-05-16,7488.49,7555.01,7527.53,7360.08,7500.79,7538.66,7505.81,7517.8,7533.73,7533.27,7499.3,7510.77,7524.22,7516.52,7497.59,7476.12,7433.61,7352.68,7509.44,7492.98,7525.0
|
||||
2024-05-17,7496.75,7566.11,7548.37,7326.43,7508.88,7531.27,7524.72,7533.79,7558.48,7556.27,7511.16,7535.63,7506.21,7526.92,7519.7,7497.23,7435.59,7309.13,7519.26,7481.67,7587.5
|
||||
2024-05-20,7554.62,7644.92,7627.44,7350.25,7547.01,7528.24,7595.91,7612.28,7643.46,7596.9,7537.82,7612.63,7530.43,7539.71,7591.87,7521.2,7437.21,7296.11,7572.12,7571.91,7670.0
|
||||
2024-05-21,7646.42,7693.65,7721.68,7393.04,7609.44,7543.75,7674.38,7711.26,7740.31,7708.74,7555.53,7736.54,7598.73,7600.96,7672.61,7654.2,7439.66,7318.55,7645.34,7664.22,7677.5
|
||||
2024-05-22,7647.54,7700.36,7702.61,7435.01,7631.71,7537.14,7631.25,7700.74,7718.4,7716.27,7545.94,7739.61,7593.62,7631.05,7680.19,7632.13,7443.42,7351.65,7659.1,7656.57,7677.5
|
||||
2024-05-23,7626.59,7682.93,7701.23,7486.0,7631.62,7534.77,7612.35,7702.06,7719.24,7711.33,7537.83,7734.65,7576.55,7652.62,7672.35,7630.37,7449.02,7363.8,7655.3,7639.01,7645.0
|
||||
2024-05-24,7591.57,7687.27,7647.22,7466.98,7604.74,7520.95,7581.75,7648.48,7659.85,7665.49,7530.35,7681.59,7545.77,7650.82,7641.27,7555.51,7455.55,7342.27,7618.71,7587.36,7630.0
|
||||
2024-05-27,7587.08,7608.34,7637.65,7450.73,7586.27,7503.4,7584.06,7621.78,7653.85,7607.25,7528.53,7654.25,7532.07,7610.58,7622.67,7533.82,7463.42,7326.06,7605.99,7588.43,7650.0
|
||||
2024-05-28,7607.55,7589.48,7669.13,7484.61,7597.73,7514.83,7601.71,7664.22,7686.82,7632.27,7530.03,7686.72,7537.27,7603.04,7629.19,7550.99,7471.71,7363.76,7623.46,7633.98,7690.0
|
||||
2024-05-29,7652.84,7571.3,7717.47,7556.94,7630.25,7549.12,7631.5,7713.28,7739.42,7692.04,7547.56,7739.16,7571.95,7633.92,7662.71,7577.13,7480.36,7443.68,7655.77,7631.62,7690.0
|
||||
2024-05-30,7649.09,7577.62,7704.1,7550.92,7640.84,7541.27,7618.8,7709.13,7722.64,7686.08,7566.99,7726.25,7577.4,7647.87,7675.33,7588.57,7488.69,7495.95,7666.95,7588.98,7716.67
|
||||
2024-05-31,7659.8,7578.86,7740.46,7601.55,7658.13,7553.72,7626.85,7747.84,7766.91,7734.27,7586.04,7743.6,7606.83,7679.94,7715.32,7637.17,7496.29,7552.72,7694.43,7669.36,7740.0
|
||||
2024-06-03,7680.57,7584.22,7758.74,7692.79,7682.17,7563.78,7631.12,7765.3,7782.34,7752.19,7594.94,7765.01,7648.73,7689.59,7745.42,7666.56,7503.34,7588.76,7712.73,7713.13,7720.0
|
||||
2024-06-04,7665.76,7576.41,7723.4,7680.31,7679.08,7575.09,7632.31,7726.45,7745.14,7722.12,7593.83,7724.31,7634.57,7670.89,7705.0,7633.67,7509.08,7561.44,7702.17,7686.5,7650.0
|
||||
2024-06-05,7606.92,7540.29,7633.46,7610.85,7632.48,7578.7,7615.23,7639.77,7644.89,7622.36,7580.73,7631.2,7599.78,7656.64,7623.31,7586.52,7512.73,7487.38,7640.26,7578.67,7620.0
|
||||
2024-06-06,7619.7,7540.46,7618.23,7535.66,7596.63,7595.6,7616.26,7613.33,7634.54,7580.04,7567.82,7615.22,7595.84,7629.27,7600.64,7572.07,7515.47,7439.33,7594.37,7568.71,7600.0
|
||||
2024-06-07,7615.71,7550.14,7598.83,7495.09,7580.49,7593.81,7616.27,7589.49,7612.05,7554.46,7556.42,7595.42,7595.1,7577.71,7587.54,7557.72,7518.27,7422.08,7579.2,7530.57,7606.67
|
||||
2024-06-11,7601.74,7545.36,7617.55,7483.63,7583.14,7602.98,7622.97,7603.07,7634.47,7571.48,7561.7,7607.52,7596.83,7576.37,7597.98,7564.51,7521.23,7447.74,7590.24,7535.68,7620.0
|
||||
2024-06-12,7595.89,7569.69,7634.83,7476.94,7595.18,7606.77,7623.29,7632.71,7651.71,7610.31,7578.85,7632.39,7571.4,7606.64,7609.63,7574.78,7524.16,7455.88,7602.32,7569.64,7673.33
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||||
2024-06-13,7641.01,7622.33,7708.5,7521.55,7629.66,7648.57,7672.0,7705.26,7730.62,7749.36,7613.58,7719.29,7605.25,7661.15,7673.97,7611.91,7528.73,7519.31,7645.36,7563.04,7690.0
|
||||
2024-06-14,7656.46,7645.11,7711.35,7577.17,7651.13,7647.51,7683.61,7716.14,7731.04,7786.84,7640.58,7734.56,7636.69,7681.25,7693.37,7630.44,7533.1,7553.32,7664.43,7573.6,7690.0
|
||||
2024-06-17,7668.97,7660.65,7707.58,7561.25,7660.09,7645.73,7690.69,7707.57,7728.62,7790.44,7658.04,7732.91,7636.44,7670.13,7692.14,7629.07,7537.53,7588.31,7677.84,7647.88,7656.67
|
||||
2024-06-18,7648.69,7647.44,7657.3,7511.84,7644.72,7630.99,7660.46,7661.83,7671.58,7709.01,7646.41,7688.98,7600.83,7643.53,7658.19,7608.7,7541.74,7553.19,7656.77,7650.67,7656.67
|
||||
2024-06-19,7717.45,7666.0,7670.33,7520.23,7635.96,7617.99,7659.58,7660.73,7689.14,7667.13,7633.78,7690.19,7602.78,7635.72,7655.59,7608.17,7544.92,7544.78,7635.34,7654.29,7670.0
|
||||
2024-06-20,7741.04,7693.88,7686.97,7567.39,7640.5,7624.09,7651.69,7683.71,7704.51,7695.4,7628.74,7714.59,7644.29,7644.75,7667.42,7626.49,7548.34,7561.63,7630.83,7666.16,7680.0
|
||||
2024-06-21,7702.76,7688.15,7697.32,7612.87,7652.19,7642.97,7654.44,7693.22,7716.37,7728.08,7628.33,7724.77,7677.81,7669.14,7678.6,7633.89,7552.64,7573.85,7647.56,7666.95,7680.0
|
||||
2024-06-24,7666.51,7682.79,7694.04,7581.34,7661.33,7643.75,7644.67,7699.11,7712.41,7720.88,7621.98,7715.66,7654.24,7680.46,7685.14,7635.35,7558.01,7572.07,7665.65,7669.45,7680.0
|
||||
2024-06-25,7635.06,7702.77,7694.15,7551.08,7662.63,7668.97,7639.39,7697.1,7713.05,7727.82,7635.73,7696.7,7642.6,7695.54,7681.62,7638.46,7563.53,7590.37,7676.11,7670.29,7693.33
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||||
2024-06-26,7649.64,7721.72,7711.35,7582.14,7666.93,7678.08,7646.0,7712.14,7733.13,7739.67,7653.96,7713.9,7646.94,7715.36,7695.62,7646.05,7568.72,7606.04,7690.87,7683.98,7716.67
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||||
2024-06-27,7668.78,7726.75,7736.6,7605.33,7678.27,7679.7,7667.02,7739.2,7761.5,7762.53,7676.67,7745.12,7650.41,7704.75,7709.23,7649.62,7573.25,7663.1,7698.53,7634.07,7723.33
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||||
2024-06-28,7678.55,7779.76,7736.77,7635.71,7686.45,7652.34,7673.52,7741.3,7761.03,7772.07,7686.61,7750.62,7643.94,7685.82,7713.25,7644.23,7577.58,7691.8,7703.73,7613.67,7730.0
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||||
2024-07-01,7707.72,7821.05,7743.39,7658.27,7693.71,7649.98,7708.01,7749.89,7768.63,7769.01,7691.71,7759.06,7661.72,7689.95,7721.16,7646.0,7582.32,7717.93,7715.57,7626.28,7763.33
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||||
2024-07-02,7744.92,7840.94,7783.1,7679.4,7717.64,7653.13,7735.71,7787.06,7806.22,7806.74,7684.8,7796.63,7692.66,7722.76,7756.99,7667.11,7588.75,7762.75,7744.12,7687.62,7780.0
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||||
2024-07-03,7756.84,7833.03,7791.33,7692.3,7731.19,7658.64,7735.06,7794.67,7812.86,7828.05,7669.74,7808.23,7703.55,7736.59,7780.46,7680.14,7596.91,7800.42,7746.29,7766.54,7800.0
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||||
2024-07-04,7777.57,7802.46,7810.8,7710.33,7750.34,7672.56,7765.83,7815.34,7833.79,7856.35,7662.81,7828.12,7724.62,7755.44,7794.13,7694.62,7603.58,7779.04,7766.87,7784.54,7800.0
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||||
2024-07-05,7774.44,7815.16,7802.19,7730.68,7760.77,7699.28,7772.52,7811.57,7823.36,7849.05,7671.7,7830.59,7724.65,7770.86,7787.98,7692.89,7610.96,7843.22,7780.92,7741.59,7766.67
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||||
2024-07-08,7741.65,7795.09,7758.82,7705.33,7739.58,7708.67,7729.86,7765.03,7781.33,7792.2,7676.97,7784.11,7681.38,7766.85,7757.01,7683.55,7620.04,7824.98,7761.16,7705.36,7746.67
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||||
2024-07-09,7722.38,7773.33,7745.26,7703.88,7714.5,7696.2,7714.17,7753.77,7769.68,7768.35,7679.44,7764.17,7656.31,7739.11,7735.52,7682.56,7629.55,7730.01,7737.09,7674.54,7720.0
|
||||
2024-07-10,7681.03,7717.21,7716.77,7678.92,7691.8,7673.83,7694.23,7723.21,7737.12,7743.38,7668.68,7735.7,7622.03,7709.89,7703.37,7681.63,7638.61,7685.62,7705.22,7572.7,7693.33
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||||
2024-07-11,7658.8,7691.9,7693.49,7628.34,7667.14,7692.16,7681.35,7691.85,7710.51,7719.48,7664.59,7703.51,7614.39,7682.58,7677.68,7669.17,7646.27,7670.81,7672.55,7596.51,7686.67
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||||
2024-07-12,7676.21,7648.01,7695.03,7632.62,7659.27,7675.71,7674.62,7698.63,7713.13,7720.5,7665.84,7702.99,7618.09,7679.03,7672.11,7670.97,7654.11,7660.48,7659.43,7646.45,7680.0
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||||
2024-07-15,7678.67,7635.19,7688.59,7673.16,7661.82,7659.83,7658.52,7688.36,7705.97,7715.21,7663.19,7697.0,7632.91,7676.23,7670.71,7666.72,7661.32,7665.77,7658.57,7673.79,7680.0
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||||
2024-07-16,7651.2,7671.86,7692.78,7689.27,7668.14,7660.76,7659.06,7692.61,7711.37,7719.34,7655.2,7696.32,7641.57,7667.54,7679.94,7684.55,7665.08,7669.1,7668.98,7684.14,7666.67
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||||
2024-07-17,7641.06,7668.16,7673.47,7659.75,7664.64,7654.22,7660.93,7676.71,7690.06,7700.99,7651.0,7671.75,7644.48,7651.21,7663.0,7678.61,7664.98,7672.35,7664.72,7691.68,7660.0
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||||
2024-07-18,7664.97,7658.16,7670.03,7637.79,7660.39,7658.64,7659.83,7666.5,7687.94,7698.48,7644.28,7672.95,7654.77,7652.12,7661.85,7665.94,7664.43,7680.07,7657.52,7684.03,7656.67
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||||
2024-07-19,7665.55,7670.82,7667.21,7635.58,7660.33,7668.88,7658.37,7665.87,7684.4,7695.58,7643.1,7674.29,7663.73,7643.52,7663.89,7656.08,7663.77,7700.4,7657.96,7680.19,7656.67
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||||
2024-07-22,7654.73,7659.6,7668.97,7621.64,7661.35,7680.21,7656.68,7664.04,7686.75,7703.27,7644.07,7678.37,7673.43,7659.15,7658.67,7652.07,7664.19,7711.59,7657.0,7666.68,7640.0
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||||
2024-07-23,7627.15,7658.63,7644.82,7588.28,7648.25,7672.14,7633.98,7642.58,7660.83,7681.31,7644.15,7657.65,7654.55,7659.5,7642.75,7629.61,7664.6,7699.0,7638.69,7648.38,7623.33
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||||
2024-07-24,7615.71,7655.36,7628.3,7592.22,7632.98,7642.48,7617.96,7623.56,7644.38,7647.41,7638.71,7634.55,7637.8,7656.28,7626.52,7606.37,7663.53,7680.98,7623.42,7643.56,7623.33
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||||
2024-07-25,7626.83,7642.02,7633.97,7613.05,7627.47,7633.41,7616.62,7627.67,7651.09,7641.83,7629.51,7638.69,7636.35,7667.25,7627.47,7601.07,7661.25,7681.91,7620.48,7654.3,7616.67
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||||
2024-07-26,7632.33,7621.39,7624.53,7645.17,7622.88,7627.13,7601.44,7616.04,7639.72,7631.04,7618.54,7630.36,7640.37,7653.94,7615.76,7592.51,7658.74,7678.82,7610.2,7671.36,7606.67
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||||
2024-07-29,7639.82,7612.4,7614.2,7662.63,7615.06,7627.33,7595.58,7606.81,7629.6,7619.99,7608.54,7623.0,7640.1,7621.77,7607.57,7582.71,7655.3,7666.26,7606.59,7680.21,7593.33
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||||
2024-07-30,7622.59,7600.34,7599.37,7641.51,7603.54,7616.73,7589.47,7594.73,7613.76,7596.82,7595.43,7602.52,7632.35,7602.39,7598.68,7575.24,7651.04,7639.92,7595.3,7624.0,7593.33
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||||
2024-07-31,7600.51,7608.84,7604.48,7579.51,7596.77,7610.01,7590.87,7595.07,7620.02,7591.9,7582.4,7602.83,7610.28,7587.6,7602.2,7574.55,7647.16,7610.42,7593.2,7617.02,7583.33
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||||
2024-08-01,7584.49,7591.16,7590.41,7528.96,7586.1,7592.44,7577.19,7583.06,7603.93,7577.83,7568.32,7587.83,7585.23,7581.5,7587.47,7558.95,7644.52,7583.24,7579.94,7590.3,7620.0
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||||
2024-08-02,7616.69,7597.32,7646.77,7566.6,7608.67,7612.44,7609.73,7635.09,7667.15,7621.61,7575.38,7644.41,7594.11,7601.34,7624.83,7610.86,7644.52,7601.45,7606.0,7619.89,7623.33
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||||
2024-08-05,7623.76,7589.96,7636.61,7586.84,7623.19,7622.18,7610.9,7632.09,7651.12,7634.57,7591.59,7646.92,7600.74,7606.68,7626.28,7616.17,7645.47,7618.92,7617.34,7621.26,7610.0
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||||
2024-08-06,7603.18,7595.41,7619.84,7605.93,7619.76,7611.85,7608.62,7610.0,7635.33,7619.08,7602.16,7622.48,7608.05,7622.34,7609.32,7605.97,7645.61,7639.88,7622.11,7612.49,7596.67
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||||
2024-08-07,7592.18,7592.88,7604.55,7626.97,7607.0,7596.99,7595.73,7603.8,7618.55,7598.38,7603.15,7605.98,7599.85,7619.7,7598.38,7599.85,7644.64,7643.84,7607.2,7614.27,7586.67
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||||
2024-08-08,7586.15,7584.44,7594.6,7599.37,7593.31,7582.25,7584.57,7583.2,7608.71,7574.14,7597.16,7590.7,7575.04,7598.87,7586.78,7593.29,7641.55,7614.19,7591.35,7610.71,7583.33
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||||
2024-08-09,7576.48,7582.33,7593.27,7585.83,7584.16,7586.21,7583.9,7582.83,7607.38,7572.6,7593.07,7593.88,7574.76,7583.67,7577.9,7587.49,7638.0,7594.36,7581.23,7618.0,7583.33
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||||
2024-08-12,7575.63,7573.13,7594.56,7563.65,7581.98,7582.93,7582.0,7586.46,7608.74,7575.65,7589.75,7596.44,7572.66,7578.67,7573.81,7582.91,7634.55,7587.76,7580.69,7589.65,7586.67
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||||
2024-08-13,7576.85,7573.63,7599.73,7549.21,7581.67,7588.33,7586.28,7590.12,7614.35,7589.07,7587.63,7605.08,7577.5,7586.07,7579.82,7587.45,7632.09,7588.25,7584.79,7591.04,7593.33
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||||
2024-08-14,7588.26,7580.58,7608.2,7543.9,7583.36,7587.63,7592.55,7600.56,7623.21,7583.55,7584.06,7605.89,7590.91,7583.55,7593.7,7596.72,7629.95,7583.49,7588.25,7596.74,7590.0
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||||
2024-08-15,7593.08,7579.66,7601.46,7529.65,7582.26,7589.29,7589.51,7593.46,7615.52,7575.57,7576.29,7597.07,7586.9,7572.76,7588.46,7596.39,7627.37,7567.46,7583.96,7608.26,7583.33
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||||
2024-08-16,7586.15,7570.0,7593.93,7514.98,7578.33,7583.97,7580.97,7585.71,7608.0,7570.62,7570.11,7592.93,7577.51,7570.17,7584.04,7591.05,7624.35,7556.5,7577.98,7601.39,7583.33
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||||
2024-08-19,7594.75,7567.16,7595.88,7563.93,7579.27,7591.45,7583.53,7587.47,7610.1,7572.22,7566.63,7595.98,7578.81,7562.98,7580.2,7587.08,7621.38,7557.74,7578.12,7597.96,7570.0
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||||
2024-08-20,7579.69,7549.51,7577.41,7576.12,7570.13,7587.28,7570.4,7568.66,7589.49,7566.75,7561.17,7580.98,7573.95,7559.21,7563.7,7578.24,7617.92,7548.49,7565.12,7585.64,7570.0
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||||
2024-08-21,7584.28,7549.39,7582.75,7575.37,7568.25,7584.27,7579.21,7573.01,7596.82,7568.56,7558.48,7580.19,7579.22,7555.77,7567.7,7568.89,7614.3,7552.89,7568.73,7573.09,7570.0
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||||
2024-08-22,7583.7,7563.72,7581.84,7578.46,7570.42,7585.17,7579.53,7573.96,7594.55,7566.88,7555.73,7579.72,7581.85,7557.41,7570.86,7564.07,7610.43,7557.83,7571.75,7572.58,7590.0
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||||
2024-08-23,7591.69,7580.94,7610.27,7577.62,7583.99,7586.86,7595.8,7597.0,7626.16,7585.06,7560.51,7605.65,7586.47,7580.06,7588.23,7581.87,7607.35,7568.18,7586.91,7578.29,7583.33
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||||
2024-08-26,7581.91,7582.1,7593.37,7570.0,7584.27,7593.48,7585.07,7587.27,7605.78,7577.06,7566.94,7596.79,7579.49,7588.08,7584.4,7576.37,7604.08,7567.01,7583.0,7593.89,7583.33
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||||
2024-08-27,7578.77,7577.6,7597.72,7573.39,7582.92,7599.51,7582.85,7587.59,7612.76,7580.64,7569.93,7599.5,7577.81,7596.23,7580.95,7580.58,7600.83,7588.53,7585.49,7591.12,7610.0
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||||
2024-08-28,7603.34,7568.98,7633.48,7591.46,7600.26,7612.36,7604.12,7624.77,7650.61,7607.26,7590.22,7637.93,7594.21,7602.4,7610.4,7616.2,7598.77,7614.45,7603.8,7596.22,7610.0
|
||||
2024-08-29,7602.61,7574.91,7623.24,7595.74,7606.55,7612.5,7598.92,7611.27,7637.06,7603.43,7608.57,7629.72,7598.36,7592.65,7610.02,7615.47,7597.31,7606.99,7610.11,7601.69,7613.33
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||||
2024-08-30,7609.0,7602.09,7629.69,7595.23,7609.88,7619.16,7606.8,7620.17,7646.34,7613.65,7626.89,7634.24,7602.9,7605.2,7607.37,7615.43,7596.6,7613.78,7616.26,7596.19,7606.67
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||||
2024-09-02,7604.8,7611.23,7617.19,7590.73,7606.88,7617.54,7599.16,7613.64,7630.95,7601.78,7633.94,7625.12,7604.06,7602.78,7610.29,7605.22,7595.72,7615.25,7603.53,7588.05,7583.33
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||||
2024-09-03,7584.12,7599.74,7587.32,7583.98,7587.2,7593.44,7574.91,7577.95,7600.26,7575.75,7621.9,7590.64,7589.95,7583.71,7584.71,7571.91,7594.26,7601.55,7578.65,7585.84,7562.5
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||||
2024-09-04,7567.82,7576.5,7567.19,7571.67,7567.29,7574.64,7562.33,7562.51,7579.01,7547.71,7604.77,7562.58,7574.18,7572.53,7565.26,7556.47,7591.96,7588.91,7560.81,7582.39,7535.0
|
||||
2024-09-05,7545.36,7552.7,7536.81,7572.77,7543.65,7554.34,7543.55,7530.69,7545.04,7525.55,7580.8,7526.22,7551.9,7551.99,7529.33,7540.59,7588.3,7577.33,7536.12,7562.67,7475.0
|
||||
2024-09-06,7489.13,7530.06,7468.77,7567.33,7490.51,7523.74,7484.99,7463.25,7472.63,7487.4,7541.51,7450.58,7511.96,7517.22,7469.27,7511.44,7581.11,7568.4,7483.83,7535.0,7442.5
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||||
2024-09-09,7477.12,7518.37,7445.95,7539.01,7447.32,7499.81,7457.06,7440.96,7453.29,7463.9,7499.5,7414.84,7488.55,7477.18,7432.64,7497.93,7572.17,7548.29,7447.32,7475.0,7422.5
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||||
2024-09-10,7456.85,7501.8,7427.16,7514.64,7422.65,7479.61,7434.15,7419.56,7435.08,7450.96,7466.84,7396.45,7459.6,7444.46,7420.32,7478.98,7562.58,7523.61,7425.64,7442.5,7412.5
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||||
2024-09-11,7431.63,7488.65,7421.85,7484.77,7405.92,7468.94,7418.03,7409.36,7431.29,7444.13,7435.7,7386.46,7435.07,7418.62,7414.43,7467.43,7553.1,7497.19,7418.09,7422.5,7387.5
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||||
2024-09-12,7398.92,7473.74,7392.92,7436.31,7384.28,7455.46,7387.81,7391.31,7405.78,7437.62,7402.3,7358.95,7406.29,7400.44,7386.07,7451.55,7542.7,7450.64,7395.83,7412.51,7380.0
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||||
2024-09-13,7387.89,7452.98,7392.81,7394.62,7370.54,7445.65,7375.93,7386.79,7406.8,7437.69,7380.1,7357.82,7390.09,7401.12,7384.26,7432.34,7532.57,7427.63,7384.53,7387.57,7395.0
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||||
2024-09-14,7398.8,7448.38,7415.44,7368.94,7381.92,7434.69,7389.77,7404.15,7424.27,7446.08,7377.0,7380.42,7384.06,7403.66,7403.4,7426.29,7523.94,7425.34,7393.14,7381.05,7375.0
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||||
2024-09-18,7373.29,7433.29,7386.28,7329.25,7376.52,7412.15,7366.51,7377.15,7398.32,7444.71,7372.7,7360.6,7359.8,7382.27,7384.26,7407.78,7514.74,7414.36,7382.19,7396.33,7342.5
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||||
2024-09-19,7345.12,7423.38,7354.42,7277.35,7354.17,7386.27,7350.0,7351.29,7372.91,7441.94,7368.46,7339.54,7347.83,7371.14,7345.66,7383.4,7504.32,7387.84,7357.27,7375.54,7325.0
|
||||
2024-09-20,7342.11,7401.09,7341.36,7221.53,7336.63,7372.35,7341.57,7339.75,7361.3,7437.13,7368.07,7329.55,7347.69,7356.94,7335.71,7368.56,7493.44,7352.7,7337.79,7355.56,7340.0
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||||
2024-09-23,7367.46,7401.63,7362.13,7193.23,7341.63,7375.19,7357.71,7350.42,7378.34,7442.19,7372.96,7345.42,7355.94,7358.66,7345.75,7383.85,7484.01,7328.74,7335.99,7350.67,7310.0
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||||
2024-09-24,7347.11,7369.08,7327.08,7184.46,7324.37,7358.97,7324.65,7320.32,7345.2,7433.41,7367.03,7315.2,7335.14,7339.29,7318.8,7372.53,7473.5,7302.72,7309.44,7311.45,7280.0
|
||||
2024-09-25,7337.68,7343.42,7309.85,7403.08,7300.53,7338.34,7316.54,7302.59,7327.5,7421.26,7354.32,7295.57,7333.55,7317.72,7283.23,7342.64,7462.0,7437.99,7292.34,7281.34,7315.0
|
||||
2024-09-26,7386.44,7341.61,7345.36,7435.37,7318.42,7346.22,7348.73,7340.58,7362.8,7431.2,7356.0,7324.47,7353.46,7337.65,7320.65,7354.6,7452.84,7508.93,7315.25,7315.34,7310.0
|
||||
2024-09-27,7381.15,7328.46,7332.75,7406.75,7317.09,7346.12,7331.73,7320.92,7349.47,7429.06,7351.81,7309.78,7334.64,7314.31,7316.95,7352.38,7443.9,7528.81,7306.65,7311.16,7310.0
|
||||
2024-09-29,7384.15,7327.32,7337.93,7345.99,7317.25,7344.34,7338.88,7327.86,7355.93,7435.85,7345.17,7314.27,7328.31,7307.46,7313.57,7350.19,7434.77,7530.15,7314.67,7313.31,7365.0
|
||||
2024-09-30,7415.55,7352.2,7403.82,7401.76,7357.28,7360.55,7371.52,7392.1,7410.08,7468.94,7351.29,7374.02,7353.45,7336.29,7371.57,7373.65,7428.29,7573.34,7362.65,7365.42,7420.0
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||||
2024-10-08,7413.39,7409.56,7462.21,7444.58,7405.36,7396.59,7407.2,7431.76,7460.04,7500.73,7378.97,7438.91,7375.62,7365.27,7425.37,7423.06,7424.11,7630.56,7411.88,7419.61,7602.5
|
||||
2024-10-09,7579.91,7556.33,7696.39,7566.58,7555.9,7556.58,7630.08,7670.55,7702.68,7638.44,7573.12,7705.03,7584.66,7484.14,7607.14,7611.41,7424.18,7800.65,7574.46,7602.4,7602.5
|
||||
2024-10-10,7575.56,7596.86,7627.47,7619.68,7624.68,7621.92,7625.84,7623.26,7632.98,7668.69,7663.99,7679.77,7637.41,7542.54,7608.91,7600.68,7424.37,7820.1,7604.86,7602.44,7585.0
|
||||
2024-10-11,7628.35,7601.27,7618.62,7603.43,7626.54,7664.98,7622.66,7592.53,7625.98,7680.63,7699.01,7640.88,7648.54,7571.69,7587.7,7604.0,7424.4,7784.88,7600.0,7584.98,7575.0
|
||||
2024-10-12,7633.67,7618.32,7594.08,7582.04,7603.76,7674.04,7605.06,7599.97,7602.33,7617.73,7715.68,7613.97,7646.51,7571.18,7574.51,7612.55,7424.28,7735.88,7567.15,7574.99,7576.67
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||||
2024-10-14,7653.81,7630.65,7595.95,7555.79,7563.84,7673.07,7578.99,7559.27,7606.22,7590.25,7707.99,7611.86,7658.07,7556.69,7561.98,7637.48,7424.14,7701.3,7546.09,7576.52,7565.0
|
||||
2024-10-15,7596.77,7620.22,7575.49,7504.66,7541.02,7645.56,7550.41,7563.09,7584.59,7583.52,7686.62,7594.43,7631.93,7525.27,7535.71,7624.88,7423.75,7647.81,7536.93,7564.88,7527.5
|
||||
2024-10-16,7537.38,7620.99,7528.69,7451.79,7512.35,7561.82,7499.04,7525.2,7534.81,7547.84,7628.83,7523.73,7571.32,7509.33,7482.41,7535.02,7422.73,7588.29,7511.74,7511.9,7477.5
|
||||
2024-10-17,7490.33,7601.67,7475.72,7413.38,7458.59,7485.5,7430.83,7471.65,7480.05,7518.8,7557.3,7453.42,7502.93,7485.75,7450.03,7454.11,7420.69,7541.86,7464.34,7475.21,7467.5
|
||||
2024-10-18,7478.69,7618.04,7477.15,7401.91,7435.49,7470.61,7414.93,7471.33,7483.34,7473.51,7506.43,7414.35,7464.17,7435.23,7464.47,7434.98,7418.43,7530.27,7448.03,7474.44,7370.0
|
||||
2024-10-21,7351.33,7464.07,7351.7,7378.64,7367.16,7417.71,7318.49,7356.18,7369.51,7432.82,7407.67,7312.07,7372.31,7358.34,7360.04,7332.51,7413.26,7488.47,7360.11,7466.75,7362.5
|
||||
2024-10-22,7344.0,7420.61,7372.97,7356.97,7340.58,7344.55,7320.62,7369.73,7394.98,7425.47,7345.69,7321.17,7352.98,7331.07,7343.6,7349.05,7407.93,7482.92,7340.69,7370.03,7346.67
|
||||
2024-10-23,7318.68,7349.63,7351.23,7343.76,7327.8,7308.26,7313.73,7354.39,7369.49,7419.87,7297.33,7311.08,7333.77,7306.12,7315.16,7342.97,7402.13,7461.36,7329.76,7362.57,7357.5
|
||||
2024-10-24,7332.02,7332.76,7374.31,7333.8,7329.64,7342.82,7343.69,7356.94,7392.53,7430.7,7278.94,7326.74,7325.37,7332.06,7342.69,7350.51,7396.69,7458.39,7342.08,7346.69,7352.5
|
||||
2024-10-25,7341.74,7293.06,7366.42,7319.07,7339.96,7359.99,7370.54,7370.27,7382.04,7432.93,7259.45,7324.02,7321.69,7319.84,7359.37,7336.29,7391.29,7460.46,7358.44,7357.54,7372.5
|
||||
2024-10-28,7344.72,7319.59,7397.69,7322.86,7366.56,7356.09,7400.03,7384.1,7409.74,7443.96,7265.26,7362.26,7344.67,7345.9,7381.35,7355.78,7386.77,7474.65,7386.76,7352.37,7373.33
|
||||
2024-10-29,7359.09,7309.05,7393.36,7346.79,7376.6,7374.11,7393.55,7384.43,7402.9,7452.68,7299.63,7378.7,7352.16,7395.18,7389.32,7366.07,7382.29,7455.52,7373.86,7373.17,7380.0
|
||||
2024-10-30,7358.99,7341.46,7405.33,7416.18,7381.48,7426.02,7377.57,7389.75,7414.11,7470.71,7350.95,7408.24,7357.65,7411.46,7388.27,7396.68,7378.24,7473.96,7359.31,7391.33,7330.0
|
||||
2024-10-31,7312.56,7305.57,7340.64,7456.83,7354.07,7421.74,7296.75,7337.7,7358.05,7471.7,7350.27,7369.02,7348.39,7402.12,7340.37,7326.14,7372.69,7468.82,7330.87,7388.27,7340.0
|
||||
2024-11-01,7343.08,7325.18,7365.97,7418.3,7350.28,7392.95,7324.07,7355.09,7382.28,7474.65,7365.08,7377.86,7372.56,7387.91,7340.9,7339.71,7367.81,7459.85,7335.55,7377.83,7363.33
|
||||
2024-11-04,7386.98,7346.15,7387.89,7369.52,7364.33,7391.78,7341.57,7376.17,7396.97,7479.09,7375.33,7398.98,7399.13,7360.83,7360.96,7393.32,7364.03,7461.72,7357.11,7379.33,7360.0
|
||||
2024-11-05,7391.64,7351.35,7380.57,7346.31,7361.38,7392.48,7346.13,7362.84,7391.88,7478.33,7376.7,7386.92,7404.12,7376.09,7372.73,7392.84,7360.4,7451.46,7349.65,7347.05,7357.5
|
||||
2024-11-06,7377.09,7346.7,7380.05,7335.56,7358.76,7378.26,7347.79,7375.06,7391.63,7476.48,7358.81,7383.4,7388.88,7361.92,7379.12,7385.59,7356.97,7412.7,7342.42,7377.96,7383.33
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||||
2024-11-07,7388.92,7358.83,7413.9,7342.16,7375.17,7391.05,7372.72,7398.94,7420.15,7477.76,7361.6,7396.03,7409.27,7366.39,7401.27,7405.46,7355.01,7421.77,7363.14,7384.18,7366.67
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||||
2024-11-08,7353.58,7344.83,7383.68,7340.64,7369.75,7386.01,7355.9,7370.14,7393.42,7466.26,7359.23,7360.38,7396.27,7382.97,7375.96,7376.72,7353.13,7417.78,7356.34,7372.99,7383.33
|
||||
2024-11-11,7379.68,7363.24,7413.31,7352.35,7379.62,7397.03,7377.89,7396.57,7420.56,7476.66,7373.14,7364.99,7411.73,7361.13,7384.96,7384.97,7352.16,7430.21,7378.04,7383.47,7340.0
|
||||
2024-11-12,7341.77,7294.74,7349.73,7357.31,7360.36,7414.32,7341.37,7347.22,7365.44,7470.71,7359.69,7316.59,7389.09,7367.12,7335.55,7337.95,7350.08,7408.84,7358.53,7392.38,7306.67
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||||
2024-11-13,7381.98,7287.19,7351.89,7350.5,7376.17,7422.79,7383.6,7340.75,7387.01,7469.26,7353.83,7317.99,7432.26,7361.68,7364.91,7332.75,7348.14,7431.79,7365.84,7405.65,7323.33
|
||||
2024-11-14,7382.61,7254.22,7354.04,7348.43,7380.54,7393.63,7401.79,7312.58,7382.11,7465.35,7365.01,7333.27,7446.75,7349.96,7346.71,7327.26,7336.3,7436.18,7378.39,7422.76,7353.33
|
||||
2024-11-15,7381.57,7295.52,7368.15,7328.46,7378.27,7388.9,7390.94,7306.41,7388.54,7474.63,7368.29,7331.23,7442.02,7386.59,7333.92,7323.29,7347.5,7405.92,7384.14,7402.9,7393.33
|
||||
2024-11-18,7351.67,7319.07,7406.21,7316.12,7375.26,7372.63,7385.84,7357.07,7391.6,7479.03,7371.18,7359.46,7430.76,7360.74,7375.31,7320.7,7358.16,7380.2,7378.35,7394.49,7363.33
|
||||
2024-11-19,7359.2,7325.43,7374.63,7342.03,7352.78,7343.61,7342.73,7372.25,7381.78,7449.07,7317.24,7350.61,7326.66,7375.86,7335.6,7364.06,7345.6,7354.37,7365.84,7367.14,
|
||||
2024-11-20,7339.67,7303.26,7375.4,7320.67,7341.12,7339.04,7337.23,7369.62,7401.5,7449.81,7307.54,7353.7,7321.71,7326.19,7327.7,7355.31,7343.62,7344.18,7327.17,7372.86,
|
||||
2024-11-21,7313.64,7310.42,7380.75,7315.62,7321.95,7387.1,7330.4,7346.73,7399.87,7443.93,7302.45,7366.74,7310.2,7341.94,7341.78,7348.73,7331.54,7333.94,7305.5,7363.12,
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||||
2024-11-22,7296.48,7321.02,7392.48,7309.1,7300.34,7376.25,7299.74,7331.89,7405.18,7451.16,7291.02,7360.91,7294.78,7323.82,7406.11,7343.82,7342.97,7315.08,7304.24,7363.37,
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||||
2024-11-25,7286.7,7319.39,7421.41,7314.21,7278.51,7335.19,7267.8,7370.68,7405.27,7454.45,7288.73,7384.35,7295.84,7330.96,7369.37,7341.7,7353.84,7304.88,7295.69,7353.22,
|
||||
2024-01-30,7314.25,7335.76,7255.32,7375.61,7296.98,7304.24,7288.53,7316.8,7357.77,7406.36,7330.32,7284.31,7336.16,7282.57,7305.31,7289.84,7306.12,7295.54,7297.12,7304.88,7315.0
|
||||
2024-01-31,7313.85,7333.85,7260.27,7376.32,7306.93,7303.91,7291.97,7327.11,7364.25,7409.82,7340.18,7298.74,7321.85,7294.2,7298.47,7302.1,7304.55,7299.61,7302.49,7313.87,7302.5
|
||||
2024-02-01,7297.0,7335.21,7250.98,7385.46,7298.8,7304.56,7284.13,7314.06,7351.66,7406.99,7334.74,7290.45,7319.52,7291.02,7287.84,7290.86,7303.42,7300.2,7301.71,7297.39,7275.0
|
||||
2024-02-02,7275.51,7314.77,7233.06,7349.83,7272.41,7282.94,7263.86,7294.73,7330.68,7395.3,7306.72,7260.65,7289.64,7278.71,7262.57,7266.32,7300.92,7272.72,7280.73,7271.37,7242.5
|
||||
2024-02-04,7236.79,7273.36,7212.67,7264.81,7239.09,7232.82,7228.47,7267.82,7308.6,7378.92,7271.96,7228.76,7248.22,7249.75,7245.09,7227.47,7297.04,7210.26,7249.74,7287.39,7240.0
|
||||
2024-02-05,7237.9,7254.36,7211.69,7215.08,7225.67,7197.03,7226.16,7266.29,7310.45,7374.66,7241.34,7223.16,7238.12,7228.83,7231.89,7224.25,7292.84,7185.72,7230.67,7307.89,7227.5
|
||||
2024-02-06,7224.19,7245.77,7203.25,7200.75,7215.03,7174.85,7206.81,7257.77,7300.49,7369.7,7214.12,7210.87,7217.43,7212.0,7214.21,7214.99,7288.06,7159.48,7215.9,7300.92,7246.67
|
||||
2024-02-07,7237.08,7241.63,7216.83,7221.2,7226.42,7222.58,7234.44,7277.5,7317.63,7377.89,7198.22,7229.34,7228.86,7227.31,7229.82,7221.54,7284.15,7172.75,7230.4,7282.88,7255.0
|
||||
2024-02-08,7249.03,7225.22,7221.61,7236.65,7242.4,7235.89,7252.49,7285.7,7321.4,7382.84,7189.21,7239.06,7239.93,7231.63,7251.7,7236.11,7280.63,7193.89,7252.08,7254.66,7270.0
|
||||
2024-02-18,7257.58,7232.66,7232.76,7247.51,7258.08,7252.65,7269.86,7295.25,7334.03,7388.26,7192.33,7253.86,7251.03,7230.31,7268.39,7263.02,7278.08,7215.18,7272.44,7244.53,7336.67
|
||||
2024-02-19,7329.8,7284.9,7279.87,7271.41,7312.25,7328.12,7333.28,7359.55,7391.84,7412.85,7285.85,7321.05,7295.19,7280.82,7344.06,7349.32,7277.16,7268.04,7323.31,7273.12,7350.0
|
||||
2024-02-20,7343.01,7301.36,7287.02,7283.48,7338.11,7398.41,7344.57,7358.8,7393.28,7424.57,7353.08,7341.83,7322.19,7304.78,7354.74,7371.01,7276.7,7309.68,7334.03,7338.48,7335.0
|
||||
2024-02-21,7331.02,7289.8,7277.52,7284.16,7334.13,7417.16,7333.0,7344.13,7379.12,7429.64,7381.22,7344.5,7320.66,7332.96,7337.17,7360.45,7275.86,7320.94,7325.44,7337.84,7297.5
|
||||
2024-02-22,7286.55,7266.5,7249.85,7285.34,7304.14,7392.3,7305.8,7314.63,7345.37,7420.07,7373.2,7311.53,7302.57,7318.15,7298.16,7284.19,7273.93,7304.0,7292.32,7342.6,7285.0
|
||||
2024-02-23,7272.61,7258.89,7241.55,7287.63,7288.24,7365.99,7296.96,7295.77,7340.09,7413.29,7359.23,7296.67,7292.49,7303.51,7281.81,7269.99,7271.49,7289.99,7281.0,7323.98,7306.67
|
||||
2024-02-26,7318.19,7258.93,7254.44,7295.47,7299.03,7362.35,7321.52,7317.68,7358.98,7413.28,7357.37,7301.95,7320.65,7296.1,7301.41,7307.13,7269.8,7306.61,7295.1,7371.11,7292.5
|
||||
2024-02-27,7324.57,7251.97,7242.58,7290.08,7297.98,7317.99,7297.46,7304.28,7342.81,7408.67,7340.79,7289.78,7327.02,7292.81,7282.36,7282.91,7268.05,7299.63,7286.47,7368.65,7306.67
|
||||
2024-02-28,7352.75,7295.49,7254.83,7276.21,7302.82,7348.5,7323.02,7324.8,7359.94,7413.98,7330.58,7305.92,7341.13,7310.9,7305.61,7301.83,7266.96,7303.46,7303.91,7380.02,7353.33
|
||||
2024-02-29,7365.17,7313.22,7288.96,7293.72,7334.31,7378.47,7368.02,7371.75,7401.12,7425.51,7341.83,7336.51,7371.22,7333.33,7360.72,7354.87,7266.78,7327.83,7343.33,7374.52,7325.0
|
||||
2024-03-01,7320.5,7306.35,7263.73,7277.35,7322.0,7343.2,7329.76,7327.44,7364.73,7416.31,7322.68,7306.52,7337.22,7315.45,7335.42,7314.74,7266.41,7308.63,7327.13,7294.14,7343.33
|
||||
2024-03-04,7334.56,7330.43,7283.3,7276.89,7330.63,7344.31,7334.27,7357.22,7391.92,7422.3,7315.67,7328.23,7328.13,7333.05,7339.2,7314.98,7266.39,7306.47,7342.18,7296.81,7330.0
|
||||
2024-03-05,7309.45,7325.04,7267.88,7277.67,7326.97,7335.79,7319.16,7340.15,7370.5,7418.13,7305.37,7318.76,7320.53,7326.05,7321.28,7293.51,7266.15,7303.62,7328.04,7281.27,7310.0
|
||||
2024-03-06,7304.78,7318.4,7255.75,7276.86,7305.71,7311.24,7313.83,7311.53,7357.06,7412.45,7301.94,7304.3,7315.76,7309.79,7297.15,7279.6,7265.64,7295.52,7301.35,7288.95,7297.5
|
||||
2024-03-07,7302.21,7321.25,7246.71,7271.87,7294.17,7309.87,7308.66,7314.28,7347.75,7407.47,7294.43,7290.02,7319.87,7285.87,7297.02,7274.12,7264.97,7290.85,7293.32,7295.53,7290.0
|
||||
2024-03-08,7292.95,7299.1,7241.47,7246.3,7288.79,7302.01,7299.54,7302.63,7343.0,7403.52,7279.52,7288.72,7290.22,7284.58,7288.43,7271.91,7264.57,7279.09,7290.29,7294.8,7295.0
|
||||
2024-03-11,7283.5,7308.73,7245.06,7233.56,7289.62,7272.81,7302.29,7308.69,7348.58,7402.53,7275.18,7290.97,7265.94,7297.8,7293.46,7274.37,7264.62,7276.64,7289.43,7294.81,7285.0
|
||||
2024-03-12,7264.78,7291.06,7238.1,7239.95,7277.58,7269.54,7282.67,7303.06,7339.16,7395.51,7277.12,7280.3,7244.14,7296.69,7275.29,7269.44,7265.88,7271.18,7270.28,7285.48,7283.33
|
||||
2024-03-13,7256.37,7287.32,7238.44,7251.53,7272.1,7275.87,7280.45,7301.9,7340.35,7398.0,7269.77,7285.73,7238.05,7303.68,7278.15,7276.54,7267.4,7268.86,7272.17,7252.64,7285.0
|
||||
2024-03-14,7269.4,7282.06,7239.51,7265.08,7275.51,7277.1,7283.45,7304.5,7341.46,7397.56,7280.69,7284.09,7251.88,7273.88,7288.42,7290.29,7270.84,7275.91,7281.04,7264.11,7277.5
|
||||
2024-03-15,7264.23,7275.59,7234.82,7272.71,7271.08,7262.54,7274.31,7295.47,7335.31,7395.98,7277.6,7279.69,7256.92,7252.44,7269.11,7283.47,7273.29,7276.28,7279.45,7273.04,7353.33
|
||||
2024-03-18,7339.36,7324.94,7292.13,7287.28,7320.05,7302.48,7366.6,7371.87,7407.54,7422.89,7304.87,7348.6,7314.84,7304.7,7353.23,7347.31,7276.14,7311.7,7330.94,7344.93,7387.5
|
||||
2024-03-19,7388.08,7385.8,7320.49,7300.95,7361.99,7336.57,7386.98,7397.01,7427.54,7439.6,7311.0,7378.46,7361.53,7326.46,7392.8,7379.9,7277.91,7348.62,7363.5,7387.24,7435.0
|
||||
2024-03-20,7446.17,7409.96,7390.64,7318.43,7404.71,7354.35,7446.15,7449.59,7481.41,7465.93,7324.92,7439.02,7414.86,7384.65,7440.51,7410.61,7279.73,7384.11,7415.17,7432.14,7460.0
|
||||
2024-03-21,7471.48,7410.82,7418.15,7359.09,7436.82,7382.55,7467.97,7485.88,7497.73,7485.05,7342.78,7469.99,7437.01,7433.13,7466.88,7407.96,7282.79,7422.37,7449.82,7435.73,7422.5
|
||||
2024-03-22,7417.1,7386.94,7359.75,7407.99,7419.15,7377.38,7398.66,7419.29,7445.15,7473.64,7348.41,7429.75,7410.0,7426.43,7427.33,7392.96,7286.4,7414.18,7431.13,7377.32,7402.5
|
||||
2024-03-25,7404.65,7354.68,7337.62,7438.0,7391.76,7372.08,7396.19,7403.69,7432.8,7463.86,7342.24,7408.89,7382.35,7426.01,7402.0,7391.26,7288.26,7395.28,7401.38,7352.68,7372.5
|
||||
2024-03-26,7367.22,7322.27,7297.47,7379.26,7362.82,7379.8,7348.91,7365.84,7399.45,7449.14,7347.17,7376.77,7355.65,7392.1,7355.2,7356.75,7289.35,7365.31,7355.82,7332.97,7365.0
|
||||
2024-03-27,7348.99,7314.72,7292.01,7324.37,7348.72,7361.01,7349.25,7354.78,7399.57,7441.3,7353.53,7370.99,7335.98,7369.87,7345.71,7338.27,7290.38,7340.31,7351.88,7327.51,7345.0
|
||||
2024-03-28,7315.95,7301.15,7273.48,7295.8,7330.9,7328.15,7333.3,7346.44,7379.1,7428.09,7353.19,7339.56,7312.39,7352.16,7328.61,7330.9,7291.17,7320.32,7333.7,7319.06,7345.0
|
||||
2024-03-29,7330.24,7305.84,7275.81,7295.1,7325.45,7312.22,7328.93,7348.29,7385.13,7421.9,7338.67,7331.57,7296.93,7335.55,7336.98,7327.3,7292.35,7309.14,7332.74,7339.16,7345.0
|
||||
2024-04-01,7338.24,7312.92,7275.35,7297.79,7326.11,7304.88,7330.88,7350.42,7384.03,7416.0,7329.56,7326.53,7302.67,7334.68,7344.62,7326.0,7293.29,7308.76,7335.23,7344.61,7360.0
|
||||
2024-04-02,7346.74,7332.9,7289.21,7307.99,7336.79,7317.73,7346.57,7364.25,7401.18,7422.32,7325.94,7337.44,7312.67,7330.29,7355.13,7331.72,7294.23,7313.7,7342.82,7353.49,7380.0
|
||||
2024-04-03,7362.03,7378.23,7308.14,7335.29,7353.97,7345.56,7371.53,7386.28,7419.33,7428.12,7335.65,7363.3,7336.41,7329.53,7376.12,7363.62,7295.82,7333.87,7357.16,7375.72,7397.5
|
||||
2024-04-07,7380.46,7399.9,7329.28,7342.79,7377.67,7353.99,7410.47,7402.89,7435.25,7440.61,7349.37,7386.35,7366.33,7351.98,7390.83,7357.89,7298.55,7362.64,7388.62,7390.25,7437.5
|
||||
2024-04-08,7447.65,7446.34,7385.22,7363.92,7413.36,7379.34,7464.31,7450.51,7478.47,7458.92,7355.57,7434.99,7413.54,7377.16,7434.57,7405.02,7302.9,7409.96,7431.65,7422.17,7490.0
|
||||
2024-04-09,7508.91,7451.4,7454.91,7495.67,7458.67,7404.45,7504.04,7508.22,7535.45,7498.07,7362.18,7500.56,7456.07,7436.46,7490.4,7479.82,7307.45,7470.89,7473.05,7482.98,7507.5
|
||||
2024-04-10,7525.01,7463.69,7471.0,7599.2,7480.64,7407.01,7494.6,7518.41,7543.95,7529.9,7380.28,7529.39,7474.85,7472.81,7508.65,7484.08,7312.89,7512.26,7487.67,7500.6,7497.5
|
||||
2024-04-11,7504.87,7435.27,7455.34,7541.44,7475.08,7402.14,7456.31,7507.48,7525.09,7529.47,7398.46,7516.28,7430.02,7497.04,7500.72,7442.53,7317.92,7486.73,7485.56,7459.59,7497.5
|
||||
2024-04-12,7479.46,7435.88,7455.09,7449.45,7465.52,7413.95,7465.76,7506.2,7527.13,7527.37,7413.39,7518.23,7412.17,7521.26,7487.64,7408.6,7322.92,7468.34,7477.26,7416.74,7506.67
|
||||
2024-04-15,7472.32,7395.35,7463.68,7434.46,7464.76,7388.03,7470.02,7506.19,7537.05,7531.6,7428.35,7524.9,7414.0,7503.56,7498.12,7387.92,7327.57,7459.92,7479.79,7412.79,7482.5
|
||||
2024-04-16,7445.28,7384.64,7424.47,7387.4,7448.83,7379.28,7438.86,7474.01,7498.57,7514.49,7421.47,7486.23,7387.0,7473.29,7463.03,7381.95,7330.04,7305.22,7465.68,7344.09,7495.0
|
||||
2024-04-17,7446.2,7378.36,7448.03,7381.32,7454.08,7369.86,7440.14,7500.86,7526.87,7516.48,7420.73,7502.13,7377.72,7467.53,7480.13,7386.93,7332.3,7268.14,7470.71,7356.98,7497.5
|
||||
2024-04-18,7457.83,7363.61,7444.84,7383.72,7460.04,7373.79,7419.24,7500.61,7521.25,7508.95,7418.34,7495.19,7396.12,7451.62,7494.75,7389.4,7335.15,7228.79,7474.29,7391.17,7497.5
|
||||
2024-04-19,7469.48,7391.86,7446.51,7398.17,7463.59,7377.7,7399.12,7494.52,7524.0,7505.1,7416.04,7489.72,7404.43,7461.7,7489.8,7391.95,7339.46,7183.49,7469.89,7418.57,7527.5
|
||||
2024-04-22,7496.98,7406.58,7488.83,7424.42,7488.17,7396.38,7437.13,7540.59,7567.34,7522.83,7419.43,7523.84,7447.05,7465.61,7533.4,7406.44,7344.58,7230.71,7495.75,7421.88,7527.5
|
||||
2024-04-23,7500.82,7452.72,7481.53,7395.13,7502.22,7423.83,7450.05,7529.01,7554.42,7525.62,7422.18,7519.67,7474.19,7493.49,7518.56,7409.24,7349.08,7271.15,7508.02,7407.19,7510.0
|
||||
2024-04-24,7497.27,7500.77,7459.8,7455.1,7496.63,7431.4,7476.97,7509.26,7532.07,7519.69,7425.21,7500.56,7480.36,7501.79,7492.2,7399.97,7354.25,7295.49,7501.93,7410.32,7487.5
|
||||
2024-04-25,7494.2,7521.97,7429.77,7471.33,7478.92,7441.51,7488.24,7489.95,7505.15,7494.85,7433.35,7474.95,7478.76,7484.28,7477.99,7392.8,7358.79,7279.72,7481.18,7420.67,7487.5
|
||||
2024-04-26,7487.55,7493.94,7433.02,7460.56,7472.8,7448.11,7513.83,7482.12,7512.5,7489.62,7445.96,7481.97,7489.84,7486.69,7476.71,7395.86,7361.77,7288.1,7477.9,7450.74,7502.5
|
||||
2024-04-28,7492.31,7527.77,7453.0,7454.06,7481.64,7470.31,7526.84,7501.31,7531.63,7497.66,7466.42,7499.28,7485.05,7472.34,7496.09,7403.69,7365.99,7287.76,7486.34,7491.89,7527.5
|
||||
2024-04-29,7498.57,7548.47,7486.26,7431.35,7495.67,7531.22,7528.19,7533.16,7564.23,7521.28,7480.11,7535.52,7457.69,7502.54,7512.45,7415.22,7369.91,7304.96,7503.48,7512.67,7537.5
|
||||
2024-04-30,7495.75,7592.61,7496.31,7370.04,7501.83,7521.1,7525.03,7545.76,7570.16,7542.07,7482.28,7551.96,7438.24,7535.52,7529.03,7422.59,7374.53,7279.18,7509.82,7520.88,7532.5
|
||||
2024-05-06,7486.98,7575.81,7488.82,7356.33,7496.14,7475.81,7510.93,7539.36,7560.82,7539.02,7472.66,7538.92,7425.33,7523.91,7531.51,7425.09,7380.07,7292.73,7510.87,7504.35,7502.5
|
||||
2024-05-07,7459.47,7522.92,7446.9,7293.06,7472.45,7416.02,7473.61,7500.68,7517.77,7513.82,7461.0,7495.62,7401.71,7499.71,7493.95,7423.25,7385.97,7269.02,7482.75,7427.8,7475.0
|
||||
2024-05-08,7452.1,7498.92,7412.88,7266.95,7451.0,7393.7,7456.99,7466.12,7491.15,7492.59,7451.26,7466.67,7400.62,7459.54,7476.41,7422.86,7391.94,7251.08,7457.2,7413.32,7512.5
|
||||
2024-05-09,7507.17,7481.83,7470.25,7276.28,7474.45,7402.05,7487.83,7516.03,7551.66,7514.2,7457.1,7515.92,7427.3,7461.2,7499.92,7434.42,7398.46,7258.22,7479.38,7489.75,7505.0
|
||||
2024-05-10,7513.2,7490.87,7449.28,7300.66,7485.6,7421.4,7469.69,7498.91,7523.2,7512.77,7449.59,7501.96,7431.21,7468.93,7501.23,7437.45,7405.6,7252.87,7475.75,7494.29,7477.5
|
||||
2024-05-11,7483.99,7472.65,7416.67,7318.22,7474.62,7444.24,7451.12,7474.21,7495.17,7500.56,7435.79,7469.77,7434.19,7468.85,7475.62,7438.88,7412.61,7258.36,7463.97,7463.24,7475.0
|
||||
2024-05-13,7492.02,7469.96,7417.52,7332.23,7473.29,7459.2,7460.44,7485.61,7499.11,7486.36,7435.56,7462.95,7449.81,7487.18,7477.07,7448.36,7419.8,7278.9,7470.81,7462.39,7485.0
|
||||
2024-05-14,7485.84,7471.29,7430.62,7342.64,7479.87,7489.41,7462.96,7479.66,7511.71,7483.63,7457.97,7468.02,7482.82,7489.58,7495.8,7450.75,7428.02,7325.6,7475.31,7470.97,7507.5
|
||||
2024-05-15,7494.66,7527.76,7462.12,7357.79,7498.05,7496.8,7487.66,7508.05,7541.39,7503.29,7486.74,7493.37,7518.69,7500.46,7501.49,7471.96,7432.85,7329.11,7495.48,7474.04,7510.0
|
||||
2024-05-16,7486.32,7547.16,7461.93,7375.92,7505.98,7500.59,7506.94,7517.17,7536.9,7516.66,7504.73,7500.54,7524.96,7515.96,7497.25,7475.93,7436.31,7369.26,7509.39,7487.81,7525.0
|
||||
2024-05-17,7495.27,7547.66,7484.75,7363.66,7512.85,7512.16,7527.19,7534.39,7561.08,7537.95,7517.79,7529.81,7511.87,7526.4,7519.39,7487.89,7438.31,7337.0,7520.01,7495.98,7587.5
|
||||
2024-05-20,7560.91,7627.52,7571.38,7382.25,7551.36,7540.14,7599.44,7615.53,7644.78,7640.54,7541.9,7609.56,7537.17,7538.88,7591.33,7608.87,7440.06,7344.79,7572.66,7580.6,7670.0
|
||||
2024-05-21,7658.46,7702.18,7684.89,7412.29,7615.56,7572.75,7679.05,7723.06,7740.26,7767.59,7554.82,7719.04,7600.38,7599.58,7671.84,7656.84,7442.83,7387.49,7645.65,7667.59,7677.5
|
||||
2024-05-22,7658.66,7694.97,7674.66,7429.14,7638.08,7568.24,7632.54,7712.51,7717.9,7771.7,7542.16,7724.91,7588.67,7629.96,7679.33,7656.76,7446.85,7412.06,7659.85,7672.34,7677.5
|
||||
2024-05-23,7642.4,7676.73,7676.06,7435.77,7634.23,7552.03,7612.69,7712.66,7718.55,7767.44,7536.28,7722.24,7566.67,7651.84,7671.41,7581.26,7452.62,7439.62,7656.34,7653.24,7645.0
|
||||
2024-05-24,7609.85,7677.56,7617.06,7413.75,7605.9,7513.65,7579.41,7654.46,7660.86,7738.27,7534.54,7674.64,7539.22,7650.42,7640.53,7529.25,7459.19,7459.08,7620.13,7598.74,7630.0
|
||||
2024-05-27,7602.61,7604.74,7602.11,7442.68,7591.02,7509.58,7585.75,7619.81,7655.25,7679.82,7535.6,7648.6,7529.26,7610.52,7622.08,7536.4,7467.0,7448.39,7606.81,7607.49,7650.0
|
||||
2024-05-28,7621.53,7579.11,7632.67,7460.22,7604.76,7536.8,7604.37,7666.65,7688.61,7713.19,7536.61,7676.49,7535.3,7602.96,7628.69,7561.36,7475.23,7472.05,7623.2,7637.36,7690.0
|
||||
2024-05-29,7660.31,7564.95,7690.2,7542.13,7642.38,7556.52,7635.98,7722.5,7740.62,7758.82,7553.88,7726.35,7564.89,7633.76,7662.29,7584.71,7483.88,7537.41,7655.15,7643.97,7690.0
|
||||
2024-05-30,7659.5,7553.99,7679.95,7592.99,7652.8,7541.2,7625.44,7716.96,7723.41,7779.81,7572.33,7718.33,7566.44,7647.5,7675.07,7605.57,7492.21,7596.18,7666.5,7566.29,7716.67
|
||||
2024-05-31,7676.04,7592.94,7721.02,7620.88,7669.84,7558.63,7640.45,7755.05,7767.45,7825.41,7589.97,7745.55,7604.26,7679.07,7714.9,7641.48,7499.87,7620.5,7694.39,7561.95,7740.0
|
||||
2024-06-03,7690.19,7602.5,7744.59,7643.27,7692.21,7576.14,7643.83,7774.9,7783.75,7838.53,7598.89,7768.8,7652.97,7688.61,7744.76,7658.11,7507.05,7660.01,7713.29,7635.55,7720.0
|
||||
2024-06-04,7676.58,7604.72,7709.75,7625.74,7686.42,7586.88,7633.54,7732.22,7745.49,7822.4,7601.66,7739.83,7638.93,7670.32,7704.17,7640.85,7512.9,7624.79,7702.71,7650.31,7650.0
|
||||
2024-06-05,7617.42,7585.56,7608.16,7521.1,7636.97,7592.04,7619.76,7642.54,7645.94,7710.69,7592.1,7655.94,7600.55,7656.55,7622.66,7582.8,7516.58,7580.1,7640.7,7558.49,7620.0
|
||||
2024-06-06,7627.55,7601.65,7581.97,7498.69,7602.71,7600.4,7617.53,7613.13,7635.79,7570.58,7579.57,7631.12,7591.91,7629.57,7600.04,7577.28,7519.33,7549.89,7594.44,7584.87,7600.0
|
||||
2024-06-07,7620.12,7576.07,7555.8,7496.98,7587.86,7584.3,7616.1,7584.17,7614.55,7535.23,7568.33,7605.75,7595.99,7578.05,7587.0,7574.39,7522.1,7512.69,7578.68,7597.59,7606.67
|
||||
2024-06-11,7615.42,7561.42,7572.2,7494.23,7592.89,7608.43,7623.98,7598.93,7636.73,7560.02,7573.55,7615.37,7596.81,7575.98,7597.5,7578.83,7525.05,7527.02,7589.47,7608.48,7620.0
|
||||
2024-06-12,7611.62,7553.93,7591.31,7496.85,7606.43,7639.72,7624.18,7636.33,7654.1,7637.44,7589.62,7633.55,7569.36,7605.97,7609.05,7591.22,7527.96,7539.77,7601.45,7616.41,7673.33
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||||
2024-06-13,7655.61,7603.46,7674.73,7519.39,7641.07,7638.81,7672.45,7713.7,7731.49,7805.59,7621.73,7705.76,7603.03,7659.96,7673.02,7621.81,7532.56,7584.4,7645.12,7648.14,7690.0
|
||||
2024-06-14,7662.58,7670.16,7685.94,7575.84,7660.44,7647.96,7682.6,7725.29,7731.85,7828.61,7646.61,7720.59,7639.52,7679.22,7692.25,7660.54,7536.97,7625.65,7665.64,7660.87,7690.0
|
||||
2024-06-17,7671.29,7647.84,7684.84,7597.49,7665.59,7665.5,7691.83,7715.76,7728.39,7830.33,7664.51,7720.84,7657.3,7667.72,7690.86,7643.12,7541.43,7646.18,7679.22,7629.43,7656.67
|
||||
2024-06-18,7654.17,7665.9,7629.33,7606.86,7644.06,7636.13,7666.63,7667.54,7672.72,7798.64,7652.07,7680.42,7619.72,7641.58,7656.95,7592.23,7545.62,7627.04,7657.63,7638.64,7656.67
|
||||
2024-06-19,7727.11,7640.08,7638.93,7578.59,7636.68,7591.02,7659.72,7664.19,7690.23,7756.19,7637.89,7681.55,7618.03,7634.64,7654.33,7591.34,7548.8,7635.99,7636.73,7637.2,7670.0
|
||||
2024-06-20,7756.39,7659.25,7656.39,7564.65,7645.7,7595.62,7650.33,7687.96,7706.14,7773.77,7634.08,7701.54,7642.69,7644.28,7666.27,7593.11,7552.24,7671.8,7632.11,7650.3,7680.0
|
||||
2024-06-21,7726.67,7685.7,7669.65,7563.31,7659.75,7610.74,7654.26,7698.64,7717.54,7814.91,7636.12,7712.27,7668.85,7668.87,7677.59,7596.45,7556.53,7678.47,7647.91,7660.17,7680.0
|
||||
2024-06-24,7694.64,7672.12,7667.38,7570.59,7668.28,7625.21,7646.98,7705.2,7713.55,7819.28,7629.2,7707.03,7645.71,7680.38,7684.28,7592.7,7561.85,7657.72,7666.29,7648.92,7680.0
|
||||
2024-06-25,7656.97,7685.36,7667.81,7584.83,7669.49,7652.55,7639.3,7702.86,7714.04,7804.54,7638.43,7698.53,7635.15,7695.28,7680.91,7592.76,7567.32,7651.89,7677.07,7634.02,7693.33
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||||
2024-06-26,7663.05,7700.56,7688.21,7592.06,7675.82,7671.93,7645.04,7717.94,7733.98,7810.16,7655.06,7714.51,7645.3,7714.43,7695.17,7603.42,7572.47,7672.88,7691.75,7632.18,7716.67
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||||
2024-06-27,7677.4,7733.3,7717.34,7581.76,7688.27,7684.8,7672.33,7746.99,7762.31,7828.62,7679.04,7743.03,7653.37,7703.94,7708.81,7629.43,7577.01,7688.28,7699.69,7625.66,7723.33
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||||
2024-06-28,7677.32,7757.11,7720.51,7600.88,7694.57,7678.53,7677.87,7750.27,7761.7,7842.71,7690.04,7751.73,7651.4,7685.27,7712.89,7630.63,7581.37,7685.2,7704.47,7616.63,7730.0
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||||
2024-07-01,7707.93,7783.31,7729.01,7658.78,7698.83,7678.79,7708.14,7757.56,7769.41,7858.08,7695.38,7759.5,7666.04,7688.93,7720.96,7649.1,7586.13,7704.59,7715.52,7664.76,7763.33
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||||
2024-07-02,7751.55,7828.43,7773.13,7771.68,7722.98,7680.78,7739.17,7797.09,7808.54,7880.75,7688.06,7793.55,7695.02,7722.0,7756.72,7715.2,7592.57,7759.12,7744.77,7741.74,7780.0
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||||
2024-07-03,7762.43,7821.1,7785.83,7768.14,7737.08,7688.67,7737.38,7805.72,7814.84,7884.52,7671.07,7805.74,7699.38,7736.65,7780.01,7781.53,7600.68,7781.87,7747.47,7776.13,7800.0
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||||
2024-07-04,7786.08,7820.99,7808.32,7778.61,7757.09,7698.67,7767.39,7826.63,7834.39,7886.31,7664.84,7824.24,7716.39,7755.69,7793.56,7744.54,7607.4,7810.21,7767.25,7795.52,7800.0
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||||
2024-07-05,7786.85,7820.6,7802.07,7857.05,7765.0,7704.08,7775.88,7824.34,7824.23,7867.37,7675.64,7822.93,7717.42,7771.03,7787.48,7722.59,7614.78,7784.03,7781.0,7773.13,7766.67
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||||
2024-07-08,7750.86,7775.85,7756.63,7790.97,7745.48,7728.45,7735.1,7771.43,7782.12,7830.41,7681.79,7783.1,7680.52,7766.86,7756.73,7673.49,7623.7,7743.8,7760.92,7733.4,7746.67
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||||
2024-07-09,7722.96,7771.44,7738.08,7700.89,7723.15,7740.89,7719.52,7758.3,7770.58,7808.82,7683.28,7764.36,7650.72,7738.94,7735.36,7674.87,7632.98,7718.29,7736.34,7708.61,7720.0
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||||
2024-07-10,7678.34,7688.29,7704.44,7589.11,7701.77,7712.37,7697.39,7727.91,7738.12,7775.17,7671.93,7736.38,7618.9,7709.76,7703.35,7668.79,7641.77,7677.77,7704.73,7692.53,7693.33
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||||
2024-07-11,7648.69,7674.48,7673.89,7581.47,7676.21,7708.96,7680.71,7693.04,7711.88,7753.58,7666.8,7706.51,7619.0,7682.29,7677.71,7681.14,7649.18,7661.22,7672.21,7680.78,7686.67
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||||
2024-07-12,7669.61,7650.62,7671.48,7621.69,7665.51,7658.81,7675.2,7701.66,7714.63,7765.84,7667.84,7701.91,7626.23,7678.42,7672.11,7680.77,7656.73,7648.62,7658.77,7681.25,7680.0
|
||||
2024-07-15,7674.74,7636.96,7662.9,7660.4,7664.41,7649.86,7662.4,7692.31,7707.55,7758.14,7666.8,7694.71,7642.93,7675.73,7670.65,7683.32,7663.66,7658.05,7658.65,7685.69,7680.0
|
||||
2024-07-16,7651.22,7665.87,7666.36,7679.77,7669.12,7662.39,7662.32,7694.89,7712.67,7768.03,7660.25,7693.56,7646.65,7667.06,7679.83,7685.51,7667.3,7657.69,7669.74,7726.9,7666.67
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||||
2024-07-17,7637.9,7660.13,7645.18,7660.46,7665.03,7655.32,7661.53,7680.92,7691.54,7757.11,7655.57,7673.35,7649.5,7651.11,7662.8,7670.56,7667.2,7655.92,7665.27,7701.17,7660.0
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||||
2024-07-18,7661.33,7666.53,7639.5,7683.98,7661.71,7662.09,7657.96,7670.44,7689.36,7759.37,7647.55,7671.03,7659.78,7652.43,7661.6,7657.73,7666.66,7654.79,7657.27,7689.07,7656.67
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||||
2024-07-19,7665.03,7654.06,7635.24,7668.78,7662.77,7660.37,7654.84,7669.45,7686.07,7754.96,7643.93,7669.79,7665.58,7643.64,7663.61,7649.73,7666.01,7657.81,7657.13,7685.6,7656.67
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||||
2024-07-22,7649.73,7644.27,7636.49,7644.6,7665.12,7666.42,7654.45,7668.51,7688.3,7764.49,7644.52,7672.99,7672.46,7658.74,7658.42,7642.28,7666.42,7664.4,7656.29,7667.09,7640.0
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||||
2024-07-23,7615.23,7645.56,7610.57,7655.94,7652.1,7662.34,7634.09,7645.28,7662.61,7733.56,7646.66,7650.71,7654.92,7659.24,7642.47,7624.17,7666.82,7659.42,7638.33,7656.65,7623.33
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||||
2024-07-24,7597.53,7650.06,7590.27,7719.11,7634.82,7637.72,7616.98,7624.78,7646.08,7661.27,7642.03,7625.71,7641.44,7656.11,7626.19,7609.78,7665.78,7651.82,7623.34,7656.74,7623.33
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||||
2024-07-25,7608.65,7635.91,7593.96,7735.25,7627.76,7630.19,7616.05,7628.94,7653.01,7653.68,7631.24,7626.97,7640.3,7666.61,7627.16,7611.94,7663.56,7653.03,7621.39,7660.64,7616.67
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||||
2024-07-26,7617.22,7632.98,7583.26,7719.98,7622.01,7624.53,7601.33,7616.61,7641.8,7622.3,7619.09,7615.34,7640.72,7653.16,7615.57,7609.45,7661.1,7643.86,7611.62,7667.77,7606.67
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||||
2024-07-29,7632.45,7609.45,7571.18,7713.09,7611.68,7620.21,7594.82,7607.42,7631.3,7611.93,7608.13,7602.7,7638.04,7621.31,7607.55,7595.9,7657.72,7625.12,7607.82,7630.84,7593.33
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||||
2024-07-30,7621.05,7605.67,7554.07,7693.67,7599.03,7601.6,7588.37,7595.38,7615.72,7591.75,7594.35,7583.41,7629.58,7602.19,7598.93,7574.65,7653.51,7600.72,7596.26,7617.22,7593.33
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||||
2024-07-31,7587.46,7604.13,7557.67,7676.02,7593.74,7595.79,7589.72,7594.85,7621.85,7591.03,7581.07,7582.76,7605.31,7587.62,7602.61,7569.93,7649.69,7571.38,7593.87,7608.1,7583.33
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||||
2024-08-01,7576.43,7594.77,7542.38,7676.91,7583.79,7575.55,7576.5,7581.67,7606.06,7578.42,7566.83,7567.78,7578.68,7581.86,7588.04,7561.38,7647.13,7543.93,7580.26,7601.32,7620.0
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||||
2024-08-02,7616.25,7599.38,7601.53,7702.78,7607.2,7603.66,7609.55,7638.54,7668.72,7714.11,7574.54,7622.81,7587.85,7601.98,7625.29,7605.34,7647.13,7558.22,7606.16,7607.22,7623.33
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||||
2024-08-05,7621.53,7592.47,7595.34,7698.87,7621.36,7617.55,7611.03,7638.07,7653.23,7735.43,7591.9,7625.9,7595.08,7607.4,7626.78,7606.12,7648.05,7577.72,7617.05,7605.43,7610.0
|
||||
2024-08-06,7614.82,7598.47,7578.08,7696.71,7616.64,7609.5,7607.33,7612.45,7636.6,7706.2,7602.73,7605.37,7605.46,7622.93,7609.92,7603.31,7648.18,7593.61,7621.72,7609.77,7596.67
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||||
2024-08-07,7600.42,7592.13,7560.49,7700.19,7603.22,7600.74,7594.67,7605.4,7620.27,7632.15,7602.99,7587.78,7602.43,7620.43,7599.1,7588.53,7647.25,7581.33,7607.23,7602.89,7586.67
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||||
2024-08-08,7582.46,7579.27,7547.9,7691.99,7590.51,7583.07,7585.2,7581.87,7610.47,7580.54,7596.98,7572.43,7580.94,7599.9,7587.52,7592.21,7644.23,7643.29,7591.49,7595.2,7583.33
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||||
2024-08-09,7572.3,7579.08,7544.76,7685.98,7581.03,7579.99,7585.11,7579.56,7609.39,7579.0,7593.55,7571.36,7577.72,7584.52,7578.71,7580.27,7640.76,7661.68,7580.79,7613.95,7583.33
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||||
2024-08-12,7565.19,7562.29,7545.41,7676.57,7579.53,7568.37,7583.51,7586.38,7610.8,7581.76,7591.14,7573.16,7571.12,7579.25,7574.68,7569.9,7637.37,7675.83,7579.89,7606.85,7586.67
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||||
2024-08-13,7563.62,7566.02,7550.8,7670.48,7579.66,7581.39,7587.7,7591.05,7616.26,7595.69,7589.46,7581.39,7578.19,7586.37,7580.72,7572.45,7634.98,7685.1,7584.15,7605.62,7593.33
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||||
2024-08-14,7576.39,7581.33,7560.34,7675.32,7581.9,7581.96,7593.26,7601.19,7625.12,7601.06,7585.96,7582.96,7591.15,7583.67,7594.52,7589.33,7632.88,7686.85,7588.09,7596.56,7590.0
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||||
2024-08-15,7577.48,7580.18,7554.1,7682.5,7580.27,7581.07,7588.06,7594.36,7617.3,7594.63,7577.61,7574.04,7585.9,7573.04,7589.19,7595.72,7630.35,7676.25,7584.21,7588.85,7583.33
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||||
2024-08-16,7575.3,7564.63,7545.8,7686.68,7575.85,7576.91,7580.0,7585.32,7609.72,7583.25,7570.84,7568.21,7574.59,7570.58,7584.68,7589.57,7627.38,7665.61,7577.83,7587.43,7583.33
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||||
2024-08-19,7583.78,7564.47,7547.04,7693.78,7576.66,7590.53,7583.24,7587.57,7611.94,7580.78,7566.85,7568.77,7576.56,7563.43,7580.76,7592.1,7624.46,7672.57,7577.68,7592.79,7570.0
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||||
2024-08-20,7572.15,7547.01,7526.81,7671.45,7568.6,7580.24,7569.61,7567.35,7591.95,7568.04,7561.53,7550.82,7574.94,7559.89,7564.28,7585.51,7621.06,7668.15,7564.85,7593.95,7570.0
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||||
2024-08-21,7573.42,7547.32,7530.82,7666.64,7567.89,7575.96,7578.4,7571.05,7598.86,7567.66,7559.81,7551.3,7579.86,7556.56,7568.24,7577.28,7617.48,7658.24,7567.96,7595.48,7570.0
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||||
2024-08-22,7573.07,7553.0,7529.61,7668.62,7570.14,7576.54,7578.19,7572.59,7597.05,7564.06,7557.67,7549.96,7582.79,7558.09,7571.36,7573.0,7613.63,7649.21,7570.82,7596.41,7590.0
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||||
2024-08-23,7591.57,7570.94,7560.14,7670.81,7585.53,7577.36,7595.08,7597.17,7628.08,7602.95,7563.0,7578.88,7588.25,7580.61,7588.53,7588.33,7610.53,7651.94,7586.39,7599.99,7583.33
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||||
2024-08-26,7585.94,7559.82,7544.76,7661.83,7584.95,7583.38,7584.8,7588.16,7607.8,7587.92,7569.26,7568.6,7581.87,7588.27,7584.7,7584.03,7607.22,7649.99,7582.57,7594.95,7583.33
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||||
2024-08-27,7583.67,7562.52,7548.9,7658.7,7583.01,7588.14,7583.17,7588.62,7614.19,7590.1,7572.3,7571.03,7577.78,7596.16,7581.18,7582.94,7603.87,7646.62,7585.5,7587.22,7610.0
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||||
2024-08-28,7608.75,7573.37,7587.12,7673.3,7599.94,7608.28,7606.73,7628.21,7652.47,7664.54,7591.65,7610.38,7596.44,7602.33,7610.44,7591.02,7601.62,7649.51,7604.31,7595.06,7610.0
|
||||
2024-08-29,7610.24,7581.95,7579.49,7667.2,7606.13,7611.64,7601.7,7614.17,7638.98,7657.09,7608.52,7604.72,7599.74,7592.46,7610.07,7593.12,7599.89,7651.06,7610.39,7598.34,7613.33
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||||
2024-08-30,7614.03,7597.63,7586.96,7655.72,7609.34,7627.82,7609.66,7622.84,7647.73,7683.32,7625.2,7611.68,7604.11,7604.98,7607.4,7605.44,7598.84,7655.51,7616.44,7604.42,7606.67
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||||
2024-09-02,7605.77,7607.48,7574.01,7657.55,7606.13,7623.34,7601.08,7617.14,7632.79,7647.45,7631.48,7601.88,7607.32,7602.92,7610.32,7598.03,7597.7,7649.4,7604.07,7593.73,7583.33
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||||
2024-09-03,7585.53,7591.18,7541.28,7616.14,7585.56,7597.08,7575.22,7577.4,7602.02,7584.32,7620.22,7566.19,7593.28,7584.09,7584.79,7569.87,7596.02,7632.57,7579.08,7589.84,7562.5
|
||||
2024-09-04,7568.37,7571.94,7515.98,7610.57,7565.79,7581.26,7562.25,7558.08,7581.85,7545.27,7604.56,7535.46,7576.39,7572.94,7565.45,7557.33,7593.59,7618.83,7560.98,7584.89,7535.0
|
||||
2024-09-05,7543.76,7554.78,7480.27,7596.32,7542.46,7560.43,7542.41,7526.06,7549.62,7514.26,7580.6,7496.51,7554.42,7552.65,7529.62,7533.45,7589.9,7609.7,7536.19,7604.62,7475.0
|
||||
2024-09-06,7486.44,7535.38,7399.34,7579.63,7490.15,7530.32,7484.73,7455.8,7477.09,7467.9,7540.47,7420.37,7514.24,7518.1,7469.82,7508.77,7582.87,7581.29,7483.85,7606.65,7442.5
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||||
2024-09-09,7470.01,7515.88,7364.62,7562.42,7446.27,7498.53,7460.67,7431.29,7457.63,7439.77,7496.35,7380.39,7490.04,7478.05,7433.33,7489.86,7574.18,7557.17,7447.27,7583.34,7422.5
|
||||
2024-09-10,7451.33,7504.81,7339.71,7541.21,7420.48,7477.1,7438.77,7409.71,7440.34,7417.87,7462.64,7355.09,7458.54,7445.15,7421.15,7475.16,7564.85,7527.78,7425.45,7562.5,7412.5
|
||||
2024-09-11,7430.97,7491.05,7330.97,7519.37,7404.28,7462.26,7420.89,7398.85,7436.14,7408.15,7431.14,7340.45,7432.55,7418.98,7415.28,7464.61,7555.64,7498.71,7417.44,7535.0,7387.5
|
||||
2024-09-12,7398.0,7478.74,7303.67,7492.92,7382.31,7444.67,7391.09,7382.94,7411.65,7396.88,7397.14,7313.15,7402.38,7400.79,7386.94,7448.76,7545.54,7460.06,7395.3,7475.01,7380.0
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||||
2024-09-13,7388.71,7460.03,7300.95,7464.13,7369.45,7424.93,7380.86,7379.25,7411.88,7392.85,7374.15,7309.57,7382.1,7401.54,7385.04,7438.55,7535.68,7439.73,7384.62,7442.51,7395.0
|
||||
2024-09-14,7403.95,7464.0,7318.92,7450.39,7380.9,7417.35,7390.87,7396.28,7429.07,7406.03,7371.11,7327.5,7375.1,7403.94,7403.98,7435.49,7527.23,7421.01,7393.19,7422.53,7375.0
|
||||
2024-09-18,7378.25,7450.51,7296.64,7420.48,7374.33,7397.35,7365.31,7369.65,7403.89,7405.31,7367.04,7307.74,7352.11,7382.56,7384.77,7418.46,7518.24,7376.68,7382.2,7412.61,7342.5
|
||||
2024-09-19,7345.8,7424.07,7273.03,7383.78,7351.39,7367.71,7348.02,7343.67,7377.78,7405.74,7364.49,7286.64,7340.79,7371.55,7346.23,7404.98,7508.11,7313.24,7357.08,7392.25,7325.0
|
||||
2024-09-20,7331.34,7411.4,7261.47,7359.5,7333.1,7352.78,7340.24,7332.29,7366.28,7407.88,7366.1,7275.0,7339.29,7357.37,7336.36,7381.77,7497.51,7277.24,7337.64,7389.01,7340.0
|
||||
2024-09-23,7350.17,7409.47,7273.6,7360.28,7338.57,7354.65,7355.94,7342.36,7383.53,7413.67,7372.86,7285.44,7350.24,7359.13,7346.39,7390.63,7488.3,7253.74,7336.25,7363.92,7310.0
|
||||
2024-09-24,7334.33,7387.52,7250.34,7333.1,7321.56,7341.2,7323.07,7313.94,7351.58,7405.47,7369.32,7258.87,7332.21,7339.95,7319.59,7372.23,7478.05,7233.88,7309.53,7330.44,7280.0
|
||||
2024-09-25,7331.68,7358.95,7233.76,7294.82,7295.02,7325.46,7313.92,7295.67,7333.57,7389.7,7358.18,7239.93,7329.29,7318.18,7284.22,7352.1,7466.86,7208.89,7292.13,7300.88,7315.0
|
||||
2024-09-26,7383.23,7354.28,7258.63,7322.43,7311.57,7337.57,7346.59,7334.2,7368.18,7395.19,7360.13,7262.58,7348.37,7337.87,7321.63,7365.79,7457.88,7369.88,7315.96,7309.91,7310.0
|
||||
2024-09-27,7395.39,7342.84,7252.57,7349.44,7311.78,7332.55,7328.61,7316.26,7355.87,7383.46,7355.37,7250.85,7333.29,7314.8,7318.06,7363.19,7449.12,7426.95,7307.61,7323.36,7310.0
|
||||
2024-09-29,7404.69,7328.01,7255.95,7412.08,7310.44,7339.92,7335.89,7322.03,7360.7,7391.28,7348.53,7255.08,7324.23,7308.09,7314.78,7356.94,7440.11,7459.6,7314.78,7323.36,7365.0
|
||||
2024-09-30,7426.12,7341.11,7300.09,7456.35,7351.28,7360.36,7371.79,7386.81,7413.94,7423.46,7354.23,7305.8,7350.79,7337.02,7372.67,7375.01,7433.62,7526.69,7362.78,7362.27,7420.0
|
||||
2024-10-08,7406.37,7396.05,7363.97,7515.23,7401.51,7391.97,7409.69,7428.8,7463.3,7450.62,7382.85,7368.46,7376.8,7366.11,7426.31,7404.72,7429.4,7614.2,7412.17,7419.09,7602.5
|
||||
2024-10-09,7577.33,7574.57,7625.6,7661.65,7544.47,7607.6,7631.74,7679.46,7699.37,7713.1,7580.36,7635.88,7586.54,7484.3,7607.45,7604.1,7429.48,7766.63,7573.71,7602.24,7602.5
|
||||
2024-10-10,7576.0,7601.33,7581.64,7719.31,7608.25,7677.35,7632.34,7639.99,7633.43,7766.71,7661.03,7634.72,7640.36,7542.83,7609.24,7617.74,7429.69,7786.16,7604.18,7602.37,7585.0
|
||||
2024-10-11,7631.65,7624.48,7575.07,7766.2,7609.2,7714.27,7629.44,7599.98,7624.22,7788.7,7691.29,7618.88,7651.66,7572.18,7587.86,7623.61,7429.71,7764.22,7600.31,7584.85,7575.0
|
||||
2024-10-12,7653.07,7598.33,7548.5,7847.1,7585.18,7706.53,7607.08,7603.88,7602.92,7740.27,7700.39,7589.1,7663.18,7571.87,7574.65,7629.57,7429.59,7716.69,7568.07,7574.84,7576.67
|
||||
2024-10-14,7691.78,7608.75,7548.03,7871.49,7552.13,7690.78,7583.72,7553.81,7607.37,7730.31,7696.8,7583.52,7677.65,7557.6,7562.15,7651.37,7429.44,7670.88,7546.73,7576.1,7565.0
|
||||
2024-10-15,7639.02,7604.74,7524.41,7792.94,7538.07,7647.37,7550.89,7554.31,7587.3,7702.48,7678.15,7562.07,7640.33,7526.24,7536.04,7653.55,7429.02,7615.24,7536.11,7564.45,7527.5
|
||||
2024-10-16,7560.16,7584.03,7472.19,7524.15,7510.13,7557.71,7500.61,7525.6,7538.71,7580.69,7620.62,7490.21,7571.23,7510.21,7483.04,7574.04,7427.96,7569.48,7510.9,7522.37,7477.5
|
||||
2024-10-17,7497.05,7571.56,7406.36,7436.05,7462.23,7506.3,7433.55,7466.97,7484.21,7495.48,7551.6,7417.59,7502.19,7486.54,7451.01,7481.14,7425.86,7531.56,7464.61,7505.66,7467.5
|
||||
2024-10-18,7485.83,7576.53,7400.38,7405.13,7439.71,7492.0,7417.06,7460.72,7487.02,7473.88,7503.86,7368.89,7465.12,7435.8,7465.36,7460.77,7423.55,7513.17,7448.06,7457.38,7370.0
|
||||
2024-10-21,7344.19,7448.06,7278.98,7367.94,7369.4,7422.88,7311.05,7344.49,7375.82,7434.49,7406.12,7267.31,7378.31,7359.09,7361.07,7360.86,7418.39,7455.82,7359.83,7457.08,7362.5
|
||||
2024-10-22,7325.96,7412.3,7285.18,7351.41,7343.75,7341.76,7318.72,7356.17,7398.84,7424.42,7348.14,7270.19,7359.63,7331.88,7344.37,7359.19,7413.08,7435.49,7339.82,7498.96,7346.67
|
||||
2024-10-23,7300.58,7353.2,7269.19,7345.42,7330.7,7285.19,7316.86,7347.0,7376.53,7407.48,7302.48,7257.8,7344.1,7307.03,7315.78,7345.47,7407.29,7416.71,7328.57,7479.02,7357.5
|
||||
2024-10-24,7327.36,7330.89,7282.53,7334.39,7335.02,7320.17,7344.86,7348.92,7396.87,7389.91,7289.94,7275.05,7332.82,7332.66,7343.01,7344.94,7401.82,7432.15,7340.73,7461.51,7352.5
|
||||
2024-10-25,7343.94,7307.17,7278.58,7353.38,7347.83,7335.72,7367.26,7362.14,7388.07,7392.13,7273.09,7271.2,7327.52,7320.14,7359.31,7334.4,7396.39,7461.64,7356.27,7405.27,7372.5
|
||||
2024-10-28,7348.35,7346.41,7299.95,7382.28,7373.17,7332.05,7394.25,7378.33,7413.72,7409.43,7278.91,7304.22,7355.17,7345.4,7380.76,7341.12,7391.81,7485.78,7385.35,7352.0,7373.33
|
||||
2024-10-29,7362.26,7347.62,7299.38,7403.71,7382.63,7372.1,7388.31,7376.75,7408.46,7425.13,7307.02,7317.3,7360.51,7394.13,7388.48,7339.41,7387.2,7506.54,7374.2,7368.01,7380.0
|
||||
2024-10-30,7368.73,7372.31,7309.24,7410.82,7385.75,7428.36,7376.78,7383.46,7418.25,7445.98,7354.4,7342.89,7363.36,7410.4,7387.01,7346.05,7383.02,7505.69,7359.37,7437.75,7330.0
|
||||
2024-10-31,7311.11,7337.7,7264.33,7417.51,7354.56,7416.21,7295.6,7331.68,7363.08,7446.37,7349.71,7310.97,7345.95,7400.75,7339.24,7304.52,7377.33,7490.8,7331.52,7393.39,7340.0
|
||||
2024-11-01,7325.45,7340.67,7277.19,7403.85,7350.09,7391.7,7325.08,7346.34,7386.1,7448.67,7361.61,7319.58,7370.1,7385.94,7339.78,7319.82,7372.31,7485.72,7337.9,7388.84,7363.33
|
||||
2024-11-04,7380.95,7383.65,7292.43,7383.24,7362.64,7391.41,7347.38,7368.79,7402.84,7453.22,7370.16,7335.67,7402.01,7359.02,7359.95,7345.06,7368.38,7497.59,7359.38,7382.9,7360.0
|
||||
2024-11-05,7384.76,7385.63,7289.12,7346.33,7359.37,7429.52,7351.29,7355.62,7396.87,7454.93,7371.16,7325.31,7409.42,7374.6,7372.07,7351.83,7364.63,7481.09,7351.21,7367.23,7357.5
|
||||
2024-11-06,7372.14,7355.21,7288.76,7314.96,7358.52,7411.56,7351.78,7368.22,7396.45,7452.88,7354.85,7322.02,7400.71,7361.08,7378.69,7358.67,7361.11,7474.57,7344.45,7366.55,7383.33
|
||||
2024-11-07,7394.49,7360.17,7314.98,7313.69,7372.23,7396.45,7372.83,7393.67,7424.33,7451.24,7358.23,7334.24,7417.74,7365.87,7401.06,7365.66,7359.13,7468.38,7365.83,7385.99,7366.67
|
||||
2024-11-08,7367.07,7340.66,7293.82,7316.41,7367.46,7382.51,7359.92,7362.61,7398.7,7438.23,7354.98,7304.15,7401.83,7383.2,7376.13,7365.23,7357.25,7458.3,7358.59,7369.13,7383.33
|
||||
2024-11-11,7385.33,7367.98,7315.88,7312.9,7378.33,7404.64,7387.22,7388.8,7424.18,7437.92,7365.14,7305.25,7419.91,7362.62,7385.12,7370.33,7356.28,7474.63,7378.79,7380.81,7340.0
|
||||
2024-11-12,7348.61,7291.9,7270.91,7276.3,7360.35,7418.77,7340.51,7341.66,7370.75,7421.61,7353.11,7263.97,7401.87,7368.74,7336.24,7330.87,7354.22,7450.79,7358.86,7365.14,7306.67
|
||||
2024-11-13,7332.29,7268.64,7251.3,7254.86,7321.8,7370.7,7316.54,7309.23,7352.06,7407.6,7345.42,7241.63,7403.21,7337.77,7293.72,7283.12,7351.63,7422.7,7318.66,7366.33,7323.33
|
||||
2024-11-14,7344.44,7272.3,7257.76,7244.21,7333.12,7360.61,7371.92,7303.81,7360.68,7413.77,7340.82,7254.99,7417.81,7357.29,7319.99,7274.54,7348.14,7390.92,7325.41,7400.55,7353.33
|
||||
2024-11-15,7319.74,7273.8,7268.91,7230.74,7333.59,7348.71,7348.61,7284.0,7349.73,7441.16,7343.64,7265.12,7418.84,7321.15,7309.22,7271.93,7337.24,7383.45,7336.21,7391.44,7393.33
|
||||
2024-11-18,7317.36,7293.89,7282.1,7208.8,7330.95,7366.03,7319.87,7297.49,7368.11,7442.79,7338.93,7287.87,7411.82,7370.53,7321.93,7272.12,7360.05,7365.12,7326.46,7397.05,7363.33
|
||||
2024-11-19,7307.74,7295.89,7310.31,7191.16,7332.0,7325.75,7319.12,7335.5,7371.58,7436.03,7333.44,7305.78,7369.13,7344.6,7332.86,7272.76,7349.71,7334.35,7334.74,7399.99,7370.0
|
||||
2024-11-20,7337.59,7316.53,7313.05,7342.47,7344.39,7306.89,7350.64,7378.3,7405.32,7418.54,7321.07,7320.57,7338.04,7387.81,7361.4,7362.29,7351.25,7331.53,7354.71,7376.74,
|
||||
2024-11-21,7317.17,7307.52,7316.97,7328.65,7332.21,7313.82,7338.19,7370.33,7411.06,7428.94,7317.81,7327.25,7336.69,7338.95,7351.55,7367.47,7347.77,7312.24,7317.22,7363.68,
|
||||
2024-11-22,7297.24,7303.13,7326.41,7326.86,7312.23,7317.62,7323.69,7346.49,7403.67,7445.02,7312.61,7330.36,7338.74,7334.72,7364.72,7364.16,7336.86,7308.51,7293.33,7345.68,
|
||||
2024-11-25,7303.15,7296.9,7344.72,7335.47,7295.32,7333.21,7318.15,7358.58,7420.51,7441.58,7302.02,7356.28,7322.75,7303.17,7395.47,7359.94,7359.68,7302.15,7295.56,7386.05,
|
||||
2024-11-26,7291.95,7311.98,7373.82,7342.08,7280.39,7364.26,7291.85,7386.51,7420.56,7449.44,7294.83,7374.35,7319.28,7310.3,7329.59,7357.71,7349.34,7286.71,7291.14,7341.73,
|
||||
|
||||
|
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@ -17,13 +17,10 @@
|
||||
价格,PP多空情绪强弱指数,C2305195181,周度
|
||||
价格,再生PP市场价/山东（日）,ID01460426,日度
|
||||
价格,印度粉矿：57%Fe：品牌价格：青岛港,C2307206639,日度
|
||||
价格,美国-中国PS（GPPS）价差,C2112016712,日度
|
||||
价格,塑编产成品库存,ID01230702,周度
|
||||
价格,塑编订单天数,ID01280095,周度
|
||||
价格,塑编产成品库存天数,RE00009884,周度
|
||||
价格,塑编原材料库存天数,ID01230703,周度
|
||||
价格,塑编整体开工率,ID01230748,周度
|
||||
价格,PP管材开工率,RE00009876,周度
|
||||
价格,PP无纺布开工率,RE00009875,周度
|
||||
价格,BOPP开工率,ID01230734,周度
|
||||
价格,中国PP无纺布原料库存天数,ID01367472,周度
|
||||
@ -33,7 +30,6 @@
|
||||
价格,PP主力收盘价,S0203118,日度
|
||||
价格,PP粉料（山东）,Q6554151,日度
|
||||
价格,PP：拉丝：S1003：市场主流价：常州：国能榆林化工（日）,ID00164407,日度
|
||||
价格,PP：拉丝：S1003：市场主流价：东莞：宝丰能源（日）,ID00164419,日度
|
||||
价格,PP：低熔共聚：K8003：自提价：广州：宝丰能源（日）,ID00162611,日度
|
||||
价格,PP：低熔共聚：K8003：自提价：宁波：国能榆林化工（日）,ID00162667,日度
|
||||
价格,PP：拉丝：1102K：市场价：临沂：国家能源宁煤（日）,ID01385945,日度
|
||||
@ -41,7 +37,6 @@
|
||||
价格,PP：透明：M26ET：出厂价：华东地区：镇海炼化（日）,ID00155667,日度
|
||||
价格,PP：透明：HC-RP340R：出厂价：华北地区：山东东明（日）,ID01384399,日度
|
||||
价格,现货价(中间价):均聚聚丙烯(PP-H):CFR远东,S5400540,日度
|
||||
价格,现货价(中间价):聚丙烯PP(纤维/注塑):CFR东南亚,S5431485,日度
|
||||
价格,现货价(中间价):聚丙烯PP(纤维/注塑):FOB西北欧,S5431506,日度
|
||||
价格,现货价(中间价):均聚聚丙烯(PP-H):FOB中东,S5400541,日度
|
||||
价格,现货价(中间价):聚丙烯PP(纤维/注塑):FAS休斯敦,S5431512,日度
|
||||
@ -188,7 +183,6 @@
|
||||
库存,BOPP原料库存+产成品库存天数,C2211254027,周度
|
||||
库存,PP周度总库存,C2212057031,周度
|
||||
库存,中国BOPP原料库存天数同差,C2301198673,周度
|
||||
库存,PP库存(PDH)超季节性(3Y),C2301316785,周度
|
||||
库存,中国BOPP周度产成品库存天数（T）,84407,周度
|
||||
库存,中国BOPP周度原料库存天数（T）,84406,周度
|
||||
库存,中国再生PP样本企业周度库存,72483,周度
|
||||
@ -243,7 +237,6 @@
|
||||
供应,PP管材开工率同差,C2210250903,周度
|
||||
供应,PP无纺布开工率同差,C2210258867,周度
|
||||
供应,PP日度产量（粒料+粉料）,C2210311448,日度
|
||||
供应,PP下游综合开工率/3年超季节性,C2301145692,周度
|
||||
供应,中国再生PP周度开工负荷率,72485,周度
|
||||
供应,PP无纺布生产毛利,ID01218972,日度
|
||||
供应,中国再生PP周度开工负荷率同差,C2305239026,周度
|
||||
|
||||
|
@ -1,4 +1,4 @@
|
||||
日度(219),周度(94),84天(1)
|
||||
日度(216),周度(90),154天(1)
|
||||
PP主力收盘价拟合残差/丙烷 CP M1,PE注塑开工率/周,中国：华东地区：市场平均价：BOPP厚光膜
|
||||
华南聚丙烯基差（折盘面收盘价）,PP：看跌比例：中国（周）,
|
||||
华北聚丙烯基差（折盘面收盘价）,PP：看平比例：中国（周）,
|
||||
@ -9,14 +9,12 @@ BOPP：成本：中国（日）,塑编产成品库存,
|
||||
PP无纺布生产成本（日）,塑编订单天数,
|
||||
CPP薄膜成本（日）,塑编产成品库存天数,
|
||||
PET瓶片：利润：中国（日）7DMA,塑编原材料库存天数,
|
||||
再生PP市场价/山东（日）,塑编整体开工率,
|
||||
印度粉矿：57%Fe：品牌价格：青岛港,PP管材开工率,
|
||||
美国-中国PS（GPPS）价差,PP无纺布开工率,
|
||||
PP拉丝国内现货价格,BOPP开工率,
|
||||
PP主力收盘价,中国PP无纺布原料库存天数,
|
||||
PP粉料（山东）,中国PP无纺布原料库存量,
|
||||
PP：拉丝：S1003：市场主流价：常州：国能榆林化工（日）,中国PP无纺布成品库存天数,
|
||||
PP：拉丝：S1003：市场主流价：东莞：宝丰能源（日）,西北欧：现货价：FOB低密度聚乙烯,
|
||||
再生PP市场价/山东（日）,PP无纺布开工率,
|
||||
印度粉矿：57%Fe：品牌价格：青岛港,BOPP开工率,
|
||||
PP拉丝国内现货价格,中国PP无纺布原料库存天数,
|
||||
PP主力收盘价,中国PP无纺布原料库存量,
|
||||
PP粉料（山东）,中国PP无纺布成品库存天数,
|
||||
PP：拉丝：S1003：市场主流价：常州：国能榆林化工（日）,西北欧：现货价：FOB低密度聚乙烯,
|
||||
PP：低熔共聚：K8003：自提价：广州：宝丰能源（日）,中国BOPP原料库存天数,
|
||||
PP：低熔共聚：K8003：自提价：宁波：国能榆林化工（日）,中国BOPP成品库存天数,
|
||||
PP：拉丝：1102K：市场价：临沂：国家能源宁煤（日）,中国BOPP成品库存量,
|
||||
@ -24,20 +22,19 @@ PP：拉丝：1102K：市场价：青州：国家能源宁煤（日）,中国BOP
|
||||
PP：透明：M26ET：出厂价：华东地区：镇海炼化（日）,中国PP下游平均开工率,
|
||||
PP：透明：HC-RP340R：出厂价：华北地区：山东东明（日）,PP无纺布：厂内库存：中国（周）,
|
||||
现货价(中间价):均聚聚丙烯(PP-H):CFR远东,PP无纺布：生产毛利：中国（周）,
|
||||
现货价(中间价):聚丙烯PP(纤维/注塑):CFR东南亚,价差：聚乙烯与乙烯（西北欧）,
|
||||
现货价(中间价):聚丙烯PP(纤维/注塑):FOB西北欧,PP拉丝期末库存（周）,
|
||||
现货价(中间价):均聚聚丙烯(PP-H):FOB中东,PP期末库存/广州港（周）,
|
||||
现货价(中间价):聚丙烯PP(纤维/注塑):FAS休斯敦,PP期末库存/宁波港（周）,
|
||||
PP主力盘中,PP：期末库存：青岛港（周）,
|
||||
PP神华竞拍（华东）,PP期末库存/上海港（周）,
|
||||
PP神华竞拍（临沂）,PP期末库存/天津港（周）,
|
||||
PP神华竞拍（西安）,PP期末库存/厦门港（周）,
|
||||
DCE：工业产品：期货价格综合指数收盘价（日）,PP两桶油/库存（周）,
|
||||
DCE：化工产品：期货价格指数收盘价（日）,PP贸易商库存(钢联)同比,
|
||||
DCE：塑料：期货价格指数收盘价（日）,BOPP原料库存+产成品库存天数,
|
||||
PP.DCE收盘价,PP周度总库存,
|
||||
PP：低熔共聚：2500HY：市场价：临沂：国家能源宁煤（日）,中国BOPP原料库存天数同差,
|
||||
PP：低熔共聚：K8003：出厂价：河北、鲁北：大唐内蒙多伦（日）,PP库存(PDH)超季节性(3Y),
|
||||
现货价(中间价):聚丙烯PP(纤维/注塑):FOB西北欧,价差：聚乙烯与乙烯（西北欧）,
|
||||
现货价(中间价):均聚聚丙烯(PP-H):FOB中东,PP拉丝期末库存（周）,
|
||||
现货价(中间价):聚丙烯PP(纤维/注塑):FAS休斯敦,PP期末库存/广州港（周）,
|
||||
PP主力盘中,PP期末库存/宁波港（周）,
|
||||
PP神华竞拍（华东）,PP：期末库存：青岛港（周）,
|
||||
PP神华竞拍（临沂）,PP期末库存/上海港（周）,
|
||||
PP神华竞拍（西安）,PP期末库存/天津港（周）,
|
||||
DCE：工业产品：期货价格综合指数收盘价（日）,PP期末库存/厦门港（周）,
|
||||
DCE：化工产品：期货价格指数收盘价（日）,PP两桶油/库存（周）,
|
||||
DCE：塑料：期货价格指数收盘价（日）,PP贸易商库存(钢联)同比,
|
||||
PP.DCE收盘价,BOPP原料库存+产成品库存天数,
|
||||
PP：低熔共聚：2500HY：市场价：临沂：国家能源宁煤（日）,PP周度总库存,
|
||||
PP：低熔共聚：K8003：出厂价：河北、鲁北：大唐内蒙多伦（日）,中国BOPP原料库存天数同差,
|
||||
PP：低熔共聚：EPS30R：市场价：临沂：榆能化（日）,中国BOPP周度产成品库存天数（T）,
|
||||
PP：低熔共聚：K8003：出厂价：临沂：宝丰能源（日）,中国BOPP周度原料库存天数（T）,
|
||||
PP：低熔共聚：K8003：出厂价：常州：宝丰能源（日）,中国再生PP样本企业周度库存,
|
||||
@ -71,28 +68,28 @@ PP：薄壁注塑：TM6000H：出厂价：华南地区：福建联合石化（
|
||||
PP：透明：PPR-B10：出厂价：华中地区：中原中石化（日）,PP下游开工/PE下游开工,
|
||||
PP：透明：PPR-MT25：出厂价：华中地区：中原中石化（日）,PP管材开工率同差,
|
||||
PP：透明：PPR-MT75N：出厂价：华中地区：中原中石化（日）,PP无纺布开工率同差,
|
||||
PP：无规共聚：HC-M700B：出厂价：华北地区：山东东明（日）,PP下游综合开工率/3年超季节性,
|
||||
热水管：PA14D：市场价：青州：大庆炼化（日）,中国再生PP周度开工负荷率,
|
||||
CPP：二元共聚膜：DY-W0723F：市场主流价：天津：独山子石化（日）,中国再生PP周度开工负荷率同差,
|
||||
PP：透明：R3080T：出厂价：华东地区：浙江鸿基（日）,PP粉料开工率（4WMA）,
|
||||
PP：透明：M08ETN：出厂价：华东地区：镇海炼化（日）,PP检修减损量,
|
||||
PP：透明：R3260T：出厂价：华东地区：浙江鸿基（日）,PP下游综合开工率（少注塑&CPP）,
|
||||
热水管：YPR-503：出厂价：华东地区：扬子石化（日）,BOPP开工率同差,
|
||||
热水管：PA14D：出厂价：华东地区：大庆炼化（日）,BOPP开工率（4WMA）,
|
||||
CPP：二元共聚膜：F800EDF：出厂价：华东地区：上海石化（日）,PP粉料开工率,
|
||||
CPP：二元共聚膜：F08EC：出厂价：华东地区：镇海炼化（日）,PP周度检修率,
|
||||
PP：透明：HT9025NX：出厂价：华南地区：茂名石化（日）,PP周度产量周环差,
|
||||
PP：透明：HT9025ZK：出厂价：华南地区：中科炼化（日）,PP周度产量同比,
|
||||
PP：透明：HT9025NX：市场主流价：广州：中石化茂名（日）,PP下游成品库存天数,
|
||||
热水管：T4401：出厂价：华南地区：茂名石化（日）,PP部分下游订单天数,
|
||||
热水管：PPR-4220：出厂价：华南地区：广州石化（日）,中国BOPP订单天数同差,
|
||||
PP：BOPP：1103K：出厂价：华北地区：国家能源宁煤（日）,中国BOPP订单天数/4WMA,
|
||||
PP：BOPP：PPH-FL03-S：出厂价：华北地区：青岛炼化（日）,BOPP完工订单工作量（周）,
|
||||
PP：BOPP：1103K：出厂价：华东地区：国家能源宁煤（日）,中国再生PP周度样本成交量,
|
||||
PP：BOPP：F03BT：出厂价：华东地区：镇海炼化（日）,BOPP开工率超季节性/3年,
|
||||
PP：BOPP：1103K：出厂价：华南地区：宁夏神华宁煤（日）,中国BOPP成品库存量同差,
|
||||
PP：BOPP：L5D98：出厂价：华南地区：广东石化（日）,中国CPP订单天数,
|
||||
PP：BOPP：PPH-F03D：出厂价：华南地区：海南炼化装置一（日）,BOPP 订单-成品天数,
|
||||
PP：无规共聚：HC-M700B：出厂价：华北地区：山东东明（日）,中国再生PP周度开工负荷率,
|
||||
热水管：PA14D：市场价：青州：大庆炼化（日）,中国再生PP周度开工负荷率同差,
|
||||
CPP：二元共聚膜：DY-W0723F：市场主流价：天津：独山子石化（日）,PP粉料开工率（4WMA）,
|
||||
PP：透明：R3080T：出厂价：华东地区：浙江鸿基（日）,PP检修减损量,
|
||||
PP：透明：M08ETN：出厂价：华东地区：镇海炼化（日）,PP下游综合开工率（少注塑&CPP）,
|
||||
PP：透明：R3260T：出厂价：华东地区：浙江鸿基（日）,BOPP开工率同差,
|
||||
热水管：YPR-503：出厂价：华东地区：扬子石化（日）,BOPP开工率（4WMA）,
|
||||
热水管：PA14D：出厂价：华东地区：大庆炼化（日）,PP粉料开工率,
|
||||
CPP：二元共聚膜：F800EDF：出厂价：华东地区：上海石化（日）,PP周度检修率,
|
||||
CPP：二元共聚膜：F08EC：出厂价：华东地区：镇海炼化（日）,PP周度产量周环差,
|
||||
PP：透明：HT9025NX：出厂价：华南地区：茂名石化（日）,PP周度产量同比,
|
||||
PP：透明：HT9025ZK：出厂价：华南地区：中科炼化（日）,PP下游成品库存天数,
|
||||
PP：透明：HT9025NX：市场主流价：广州：中石化茂名（日）,PP部分下游订单天数,
|
||||
热水管：T4401：出厂价：华南地区：茂名石化（日）,中国BOPP订单天数同差,
|
||||
热水管：PPR-4220：出厂价：华南地区：广州石化（日）,中国BOPP订单天数/4WMA,
|
||||
PP：BOPP：1103K：出厂价：华北地区：国家能源宁煤（日）,BOPP完工订单工作量（周）,
|
||||
PP：BOPP：PPH-FL03-S：出厂价：华北地区：青岛炼化（日）,中国再生PP周度样本成交量,
|
||||
PP：BOPP：1103K：出厂价：华东地区：国家能源宁煤（日）,BOPP开工率超季节性/3年,
|
||||
PP：BOPP：F03BT：出厂价：华东地区：镇海炼化（日）,中国BOPP成品库存量同差,
|
||||
PP：BOPP：1103K：出厂价：华南地区：宁夏神华宁煤（日）,中国CPP订单天数,
|
||||
PP：BOPP：L5D98：出厂价：华南地区：广东石化（日）,BOPP 订单-成品天数,
|
||||
PP：BOPP：PPH-F03D：出厂价：华南地区：海南炼化装置一（日）,,
|
||||
CPP：二元共聚膜：PPR-F08M-S：出厂价：华南地区：茂名石化（日）,,
|
||||
CPP：二元共聚膜：PPR-F08-S：出厂价：华南地区：茂名石化（日）,,
|
||||
BOPP：12μ光膜：出厂价：华北地区：凯达包装（日）,,
|
||||
|
||||
|
@ -1,4 +1,4 @@
|
||||
特征信息：总共有312个,日度(219),周度(94),84天(1), 详看 附1、特征列表
|
||||
特征信息：总共有305个,日度(216),周度(90),154天(1), 详看 附1、特征列表
|
||||
数据特征工程：
|
||||
1. 数据日期排序，新日期在最后
|
||||
2. 删除空列，特征数据列没有值，就删除
|
||||
|
||||
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@ -110,25 +110,25 @@ def predict_main():
|
||||
row,col = df.shape
|
||||
|
||||
now = datetime.datetime.now().strftime('%Y%m%d%H%M%S')
|
||||
# ex_Model(df,
|
||||
# horizon=horizon,
|
||||
# input_size=input_size,
|
||||
# train_steps=train_steps,
|
||||
# val_check_steps=val_check_steps,
|
||||
# early_stop_patience_steps=early_stop_patience_steps,
|
||||
# is_debug=is_debug,
|
||||
# dataset=dataset,
|
||||
# is_train=is_train,
|
||||
# is_fivemodels=is_fivemodels,
|
||||
# val_size=val_size,
|
||||
# test_size=test_size,
|
||||
# settings=settings,
|
||||
# now=now,
|
||||
# etadata = etadata,
|
||||
# modelsindex = modelsindex,
|
||||
# data = data,
|
||||
# is_eta=is_eta,
|
||||
# )
|
||||
ex_Model(df,
|
||||
horizon=horizon,
|
||||
input_size=input_size,
|
||||
train_steps=train_steps,
|
||||
val_check_steps=val_check_steps,
|
||||
early_stop_patience_steps=early_stop_patience_steps,
|
||||
is_debug=is_debug,
|
||||
dataset=dataset,
|
||||
is_train=is_train,
|
||||
is_fivemodels=is_fivemodels,
|
||||
val_size=val_size,
|
||||
test_size=test_size,
|
||||
settings=settings,
|
||||
now=now,
|
||||
etadata = etadata,
|
||||
modelsindex = modelsindex,
|
||||
data = data,
|
||||
is_eta=is_eta,
|
||||
)
|
||||
|
||||
|
||||
logger.info('模型训练完成')
|
||||
|
||||
@ -486,6 +486,9 @@ def model_losss(sqlitedb):
|
||||
# 计算预测评估指数
|
||||
def model_losss_juxiting(sqlitedb):
|
||||
global dataset
|
||||
most_model = [sqlitedb.select_data('most_model',columns=['most_common_model'],order_by='ds desc',limit=1).values[0][0]]
|
||||
most_model_name = most_model[0]
|
||||
|
||||
# 预测数据处理 predict
|
||||
df_combined = loadcsv(os.path.join(dataset,"cross_validation.csv"))
|
||||
df_combined = dateConvert(df_combined)
|
||||
@ -535,26 +538,6 @@ def model_losss_juxiting(sqlitedb):
|
||||
f.write(','.join(modelnames) + '\n')
|
||||
|
||||
|
||||
# 根据最接近真实值的预测模型计算波动率，得到在波动率范围内的预测值确定通道边界
|
||||
|
||||
best_models = pd.read_csv(os.path.join(dataset,'best_modelnames.txt'),header=None).values.flatten().tolist()
|
||||
def find_min_max_within_quantile(row):
|
||||
row = row[best_models]
|
||||
q10 = row.min()
|
||||
q90 = row.max()
|
||||
# 获取 row行最大最小值模型名称
|
||||
min_model = row[row == q10].idxmin()
|
||||
max_model = row[row == q90].idxmin()
|
||||
|
||||
# # 判断flot值是否为空值
|
||||
# if pd.isna(q10) or pd.isna(q90):
|
||||
return pd.Series([q10, q90,min_model,max_model], index=['min_within_quantile','max_within_quantile','min_model','max_model'])
|
||||
|
||||
# 遍历行
|
||||
df_combined3[['min_within_quantile', 'max_within_quantile','min_model','max_model']] = df_combined3.apply(find_min_max_within_quantile, axis=1)
|
||||
df_combined = df_combined.round(4)
|
||||
print(df_combined3)
|
||||
|
||||
|
||||
# # 根据真实值y确定最大最小值,去掉最高最低的预测值
|
||||
# import heapq # 使用堆来找到最大和最小的值
|
||||
@ -728,13 +711,14 @@ def model_losss_juxiting(sqlitedb):
|
||||
# df_combined3[['min_within_quantile', 'max_within_quantile','min_model','max_model']] = df_combined3.apply(find_min_max_within_quantile, axis=1)
|
||||
|
||||
# 去除有空值的行
|
||||
df_combined3.dropna(inplace=True)
|
||||
# 保存到数据库
|
||||
df_combined3.to_sql('testandpredict_groupby', sqlitedb.connection, if_exists='replace', index=False)
|
||||
df_combined3.to_csv(os.path.join(dataset,"testandpredict_groupby.csv"),index=False)
|
||||
# df_combined3.dropna(inplace=True)
|
||||
# # 保存到数据库
|
||||
# df_combined3.to_sql('testandpredict_groupby', sqlitedb.connection, if_exists='replace', index=False)
|
||||
# df_combined3.to_csv(os.path.join(dataset,"testandpredict_groupby.csv"),index=False)
|
||||
|
||||
|
||||
|
||||
# 去掉方差最大的模型，其余模型预测最大最小值确定通道边界
|
||||
|
||||
# 预测值与真实值对比图
|
||||
plt.rcParams['font.sans-serif'] = ['SimHei']
|
||||
plt.figure(figsize=(15, 10))
|
||||
@ -756,7 +740,7 @@ def model_losss_juxiting(sqlitedb):
|
||||
df_predict = loadcsv(os.path.join(dataset,'predict.csv'))
|
||||
df_predict.drop('unique_id',inplace=True,axis=1)
|
||||
df_predict.dropna(axis=1,inplace=True)
|
||||
|
||||
df_predict2 = df_predict.copy()
|
||||
try:
|
||||
df_predict['ds'] = pd.to_datetime(df_predict['ds'],format=r'%Y-%m-%d')
|
||||
except ValueError :
|
||||
@ -765,46 +749,23 @@ def model_losss_juxiting(sqlitedb):
|
||||
# 取第一行数据存储到数据库中
|
||||
first_row = df_predict.head(1)
|
||||
first_row['ds'] = first_row['ds'].dt.strftime('%Y-%m-%d 00:00:00')
|
||||
# 将预测结果保存到数据库
|
||||
if not sqlitedb.check_table_exists('trueandpredict'):
|
||||
first_row.to_sql('trueandpredict',sqlitedb.connection,index=False)
|
||||
else:
|
||||
for col in first_row.columns:
|
||||
sqlitedb.add_column_if_not_exists('trueandpredict',col,'TEXT')
|
||||
for row in first_row.itertuples(index=False):
|
||||
row_dict = row._asdict()
|
||||
columns=row_dict.keys()
|
||||
check_query = sqlitedb.select_data('trueandpredict',where_condition = f"ds = '{row.ds}'")
|
||||
if len(check_query) > 0:
|
||||
set_clause = ", ".join([f"{key} = '{value}'" for key, value in row_dict.items()])
|
||||
sqlitedb.update_data('trueandpredict',set_clause,where_condition = f"ds = '{row.ds}'")
|
||||
continue
|
||||
sqlitedb.insert_data('trueandpredict',tuple(row_dict.values()),columns=columns)
|
||||
|
||||
|
||||
|
||||
# 最多频率的模型名称
|
||||
min_model_max_frequency_model = df_combined3['min_model'].tail(20).value_counts().idxmax()
|
||||
max_model_max_frequency_model = df_combined3['max_model'].tail(20).value_counts().idxmax()
|
||||
if min_model_max_frequency_model == max_model_max_frequency_model:
|
||||
# 取20天第二多的模型
|
||||
max_model_max_frequency_model = df_combined3['max_model'].tail(20).value_counts().nlargest(2).index[1]
|
||||
|
||||
df_predict['min_model'] = min_model_max_frequency_model
|
||||
df_predict['max_model'] = max_model_max_frequency_model
|
||||
df_predict['min_within_quantile'] = df_predict[min_model_max_frequency_model]
|
||||
df_predict['max_within_quantile'] = df_predict[max_model_max_frequency_model]
|
||||
|
||||
df_predict2 = df_predict.copy()
|
||||
df_predict2['ds'] = df_predict2['ds'].dt.strftime('%Y-%m-%d 00:00:00')
|
||||
|
||||
|
||||
# 将预测结果保存到数据库
|
||||
# 判断表存在
|
||||
# # 将预测结果保存到数据库
|
||||
df_combined3 = pd.concat([df_combined3, df_predict]).reset_index(drop=True)
|
||||
# # 判断 df 的数值列转为float
|
||||
for col in df_combined3.columns:
|
||||
try:
|
||||
if col != 'ds':
|
||||
df_combined3[col] = df_combined3[col].astype(float)
|
||||
df_combined3[col] = df_combined3[col].round(2)
|
||||
except ValueError:
|
||||
pass
|
||||
df_combined3.to_csv(os.path.join(dataset,"testandpredict_groupby.csv"),index=False)
|
||||
# # 判断表存在
|
||||
if not sqlitedb.check_table_exists('testandpredict_groupby'):
|
||||
df_predict2.to_sql('testandpredict_groupby',sqlitedb.connection,index=False)
|
||||
df_combined3.to_sql('testandpredict_groupby',sqlitedb.connection,index=False)
|
||||
else:
|
||||
for row in df_predict2.itertuples(index=False):
|
||||
for row in df_combined3.itertuples(index=False):
|
||||
row_dict = row._asdict()
|
||||
check_query = sqlitedb.select_data('testandpredict_groupby',where_condition = f"ds = '{row.ds}'")
|
||||
if len(check_query) > 0:
|
||||
@ -813,61 +774,173 @@ def model_losss_juxiting(sqlitedb):
|
||||
continue
|
||||
sqlitedb.insert_data('testandpredict_groupby',tuple(row_dict.values()),columns=row_dict.keys())
|
||||
|
||||
|
||||
|
||||
# 计算每个预测值与真实值之间的偏差率
|
||||
for model in allmodelnames:
|
||||
df_combined3[f'{model}_abs_error_rate'] = abs(df_combined3['y'] - df_combined3[model]) / df_combined3['y']
|
||||
|
||||
# 获取每行对应的最小偏差率值
|
||||
min_abs_error_rate_values = df_combined3.apply(lambda row: row[[f'{model}_abs_error_rate' for model in allmodelnames]].min(), axis=1)
|
||||
# 获取每行对应的最小偏差率值对应的列名
|
||||
min_abs_error_rate_column_name = df_combined3.apply(lambda row: row[[f'{model}_abs_error_rate' for model in allmodelnames]].idxmin(), axis=1)
|
||||
# 将列名索引转换为列名
|
||||
min_abs_error_rate_column_name = min_abs_error_rate_column_name.map(lambda x: x.split('_')[0])
|
||||
# 获取最小偏差率对应的模型的预测值
|
||||
min_abs_error_rate_predictions = df_combined3.apply(lambda row: row[min_abs_error_rate_column_name[row.name]], axis=1)
|
||||
# 将最小偏差率对应的模型的预测值添加到DataFrame中
|
||||
df_combined3['min_abs_error_rate_prediction'] = min_abs_error_rate_predictions
|
||||
df_combined3['min_abs_error_rate_column_name'] = min_abs_error_rate_column_name
|
||||
df_combined3 = pd.concat([df_combined3, df_predict]).reset_index(drop=True)
|
||||
# 判断 df 的数值列转为float
|
||||
for col in df_combined3.columns:
|
||||
try:
|
||||
if col != 'ds':
|
||||
df_combined3[col] = df_combined3[col].astype(float)
|
||||
df_combined3[col] = df_combined3[col].round(2)
|
||||
except ValueError:
|
||||
pass
|
||||
df_combined3.to_csv(os.path.join(dataset,"df_combined3.csv"),index=False)
|
||||
|
||||
# 历史价格+预测价格
|
||||
ten_models = allmodelnames
|
||||
# 计算每个模型的方差
|
||||
variances = df_combined3[ten_models].var()
|
||||
# 找到方差最大的模型
|
||||
max_variance_model = variances.idxmax()
|
||||
# 打印方差最大的模型
|
||||
print("方差最大的模型是：", max_variance_model)
|
||||
# 去掉方差最大的模型
|
||||
df_combined3 = df_combined3.drop(columns=[max_variance_model])
|
||||
if max_variance_model in allmodelnames:
|
||||
allmodelnames.remove(max_variance_model)
|
||||
df_combined3['min'] = df_combined3[allmodelnames].min(axis=1)
|
||||
df_combined3['max'] = df_combined3[allmodelnames].max(axis=1)
|
||||
print(df_combined3[['min','max']])
|
||||
# 历史价格+预测价格
|
||||
df_combined3 = df_combined3[-50:] # 取50个数据点画图
|
||||
# 历史价格
|
||||
plt.figure(figsize=(20, 10))
|
||||
plt.plot(df_combined3['ds'], df_combined3['y'], label='真实值')
|
||||
# 颜色填充
|
||||
plt.fill_between(df_combined3['ds'], df_combined3['min_within_quantile'], df_combined3['max_within_quantile'], alpha=0.2)
|
||||
# plt.plot(df_combined3['ds'], df_combined3['min_abs_error_rate_prediction'], label='最小绝对误差', linestyle='--', color='orange')
|
||||
# 网格
|
||||
plt.plot(df_combined3['ds'], df_combined3['y'], label='真实值',marker='o')
|
||||
plt.plot(df_combined3['ds'], df_combined3[most_model], label=most_model_name)
|
||||
plt.fill_between(df_combined3['ds'], df_combined3['min'], df_combined3['max'], alpha=0.2)
|
||||
plt.grid(True)
|
||||
# 显示历史值
|
||||
for i, j in zip(df_combined3['ds'], df_combined3['y']):
|
||||
plt.text(i, j, str(j), ha='center', va='bottom')
|
||||
|
||||
# 数据库查询最佳模型名称
|
||||
most_model = [sqlitedb.select_data('most_model',columns=['most_common_model'],order_by='ds desc',limit=1).values[0][0]]
|
||||
|
||||
for model in most_model:
|
||||
plt.plot(df_combined3['ds'], df_combined3[model], label=model,marker='o')
|
||||
# 当前日期画竖虚线
|
||||
plt.axvline(x=df_combined3['ds'].iloc[-horizon], color='r', linestyle='--')
|
||||
plt.legend()
|
||||
plt.xlabel('日期')
|
||||
plt.ylabel('价格')
|
||||
|
||||
|
||||
# # 显示历史值
|
||||
for i, j in zip(df_combined3['ds'][:-5], df_combined3['y'][:-5]):
|
||||
plt.text(i, j, str(j), ha='center', va='bottom')
|
||||
plt.savefig(os.path.join(dataset,'历史价格-预测值.png'), bbox_inches='tight')
|
||||
plt.close()
|
||||
|
||||
|
||||
# 预测值与真实值对比图
|
||||
plt.rcParams['font.sans-serif'] = ['SimHei']
|
||||
plt.figure(figsize=(15, 10))
|
||||
# 设置有5个子图的画布
|
||||
for n,model in enumerate(modelnames[:5]):
|
||||
plt.subplot(3, 2, n+1)
|
||||
plt.plot(df_combined3['ds'], df_combined3['y'], label='真实值')
|
||||
plt.plot(df_combined3['ds'], df_combined3[model], label=model)
|
||||
plt.legend()
|
||||
plt.xlabel('日期')
|
||||
plt.ylabel('价格')
|
||||
plt.title(model+'拟合')
|
||||
plt.subplots_adjust(hspace=0.5)
|
||||
plt.savefig(os.path.join(dataset,'预测值与真实值对比图.png'), bbox_inches='tight')
|
||||
plt.close()
|
||||
|
||||
# # 历史数据+预测数据
|
||||
# # 拼接未来时间预测
|
||||
# df_predict = loadcsv(os.path.join(dataset,'predict.csv'))
|
||||
# df_predict.drop('unique_id',inplace=True,axis=1)
|
||||
# df_predict.dropna(axis=1,inplace=True)
|
||||
|
||||
# try:
|
||||
# df_predict['ds'] = pd.to_datetime(df_predict['ds'],format=r'%Y-%m-%d')
|
||||
# except ValueError :
|
||||
# df_predict['ds'] = pd.to_datetime(df_predict['ds'],format=r'%Y/%m/%d')
|
||||
|
||||
# # 取第一行数据存储到数据库中
|
||||
# first_row = df_predict.head(1)
|
||||
# first_row['ds'] = first_row['ds'].dt.strftime('%Y-%m-%d 00:00:00')
|
||||
# # 将预测结果保存到数据库
|
||||
# if not sqlitedb.check_table_exists('trueandpredict'):
|
||||
# first_row.to_sql('trueandpredict',sqlitedb.connection,index=False)
|
||||
# else:
|
||||
# for col in first_row.columns:
|
||||
# sqlitedb.add_column_if_not_exists('trueandpredict',col,'TEXT')
|
||||
# for row in first_row.itertuples(index=False):
|
||||
# row_dict = row._asdict()
|
||||
# columns=row_dict.keys()
|
||||
# check_query = sqlitedb.select_data('trueandpredict',where_condition = f"ds = '{row.ds}'")
|
||||
# if len(check_query) > 0:
|
||||
# set_clause = ", ".join([f"{key} = '{value}'" for key, value in row_dict.items()])
|
||||
# sqlitedb.update_data('trueandpredict',set_clause,where_condition = f"ds = '{row.ds}'")
|
||||
# continue
|
||||
# sqlitedb.insert_data('trueandpredict',tuple(row_dict.values()),columns=columns)
|
||||
|
||||
|
||||
|
||||
# # 最多频率的模型名称
|
||||
# min_model_max_frequency_model = df_combined3['min_model'].tail(20).value_counts().idxmax()
|
||||
# max_model_max_frequency_model = df_combined3['max_model'].tail(20).value_counts().idxmax()
|
||||
# if min_model_max_frequency_model == max_model_max_frequency_model:
|
||||
# # 取20天第二多的模型
|
||||
# max_model_max_frequency_model = df_combined3['max_model'].tail(20).value_counts().nlargest(2).index[1]
|
||||
|
||||
# df_predict['min_model'] = min_model_max_frequency_model
|
||||
# df_predict['max_model'] = max_model_max_frequency_model
|
||||
# df_predict['min_within_quantile'] = df_predict[min_model_max_frequency_model]
|
||||
# df_predict['max_within_quantile'] = df_predict[max_model_max_frequency_model]
|
||||
|
||||
# df_predict2 = df_predict.copy()
|
||||
# df_predict2['ds'] = df_predict2['ds'].dt.strftime('%Y-%m-%d 00:00:00')
|
||||
|
||||
|
||||
# # 将预测结果保存到数据库
|
||||
# # 判断表存在
|
||||
# if not sqlitedb.check_table_exists('testandpredict_groupby'):
|
||||
# df_predict2.to_sql('testandpredict_groupby',sqlitedb.connection,index=False)
|
||||
# else:
|
||||
# for row in df_predict2.itertuples(index=False):
|
||||
# row_dict = row._asdict()
|
||||
# check_query = sqlitedb.select_data('testandpredict_groupby',where_condition = f"ds = '{row.ds}'")
|
||||
# if len(check_query) > 0:
|
||||
# set_clause = ", ".join([f"{key} = '{value}'" for key, value in row_dict.items()])
|
||||
# sqlitedb.update_data('testandpredict_groupby',set_clause,where_condition = f"ds = '{row.ds}'")
|
||||
# continue
|
||||
# sqlitedb.insert_data('testandpredict_groupby',tuple(row_dict.values()),columns=row_dict.keys())
|
||||
|
||||
|
||||
|
||||
# # 计算每个预测值与真实值之间的偏差率
|
||||
# for model in allmodelnames:
|
||||
# df_combined3[f'{model}_abs_error_rate'] = abs(df_combined3['y'] - df_combined3[model]) / df_combined3['y']
|
||||
|
||||
# # 获取每行对应的最小偏差率值
|
||||
# min_abs_error_rate_values = df_combined3.apply(lambda row: row[[f'{model}_abs_error_rate' for model in allmodelnames]].min(), axis=1)
|
||||
# # 获取每行对应的最小偏差率值对应的列名
|
||||
# min_abs_error_rate_column_name = df_combined3.apply(lambda row: row[[f'{model}_abs_error_rate' for model in allmodelnames]].idxmin(), axis=1)
|
||||
# # 将列名索引转换为列名
|
||||
# min_abs_error_rate_column_name = min_abs_error_rate_column_name.map(lambda x: x.split('_')[0])
|
||||
# # 获取最小偏差率对应的模型的预测值
|
||||
# min_abs_error_rate_predictions = df_combined3.apply(lambda row: row[min_abs_error_rate_column_name[row.name]], axis=1)
|
||||
# # 将最小偏差率对应的模型的预测值添加到DataFrame中
|
||||
# df_combined3['min_abs_error_rate_prediction'] = min_abs_error_rate_predictions
|
||||
# df_combined3['min_abs_error_rate_column_name'] = min_abs_error_rate_column_name
|
||||
# df_combined3 = pd.concat([df_combined3, df_predict]).reset_index(drop=True)
|
||||
# # 判断 df 的数值列转为float
|
||||
# for col in df_combined3.columns:
|
||||
# try:
|
||||
# if col != 'ds':
|
||||
# df_combined3[col] = df_combined3[col].astype(float)
|
||||
# df_combined3[col] = df_combined3[col].round(2)
|
||||
# except ValueError:
|
||||
# pass
|
||||
# df_combined3.to_csv(os.path.join(dataset,"df_combined3.csv"),index=False)
|
||||
|
||||
# # 历史价格+预测价格
|
||||
# df_combined3 = df_combined3[-50:] # 取50个数据点画图
|
||||
# # 历史价格
|
||||
# plt.figure(figsize=(20, 10))
|
||||
# plt.plot(df_combined3['ds'], df_combined3['y'], label='真实值')
|
||||
# # 颜色填充
|
||||
# plt.fill_between(df_combined3['ds'], df_combined3['min_within_quantile'], df_combined3['max_within_quantile'], alpha=0.2)
|
||||
# # plt.plot(df_combined3['ds'], df_combined3['min_abs_error_rate_prediction'], label='最小绝对误差', linestyle='--', color='orange')
|
||||
# # 网格
|
||||
# plt.grid(True)
|
||||
# # 显示历史值
|
||||
# for i, j in zip(df_combined3['ds'], df_combined3['y']):
|
||||
# plt.text(i, j, str(j), ha='center', va='bottom')
|
||||
|
||||
# # 数据库查询最佳模型名称
|
||||
# most_model = [sqlitedb.select_data('most_model',columns=['most_common_model'],order_by='ds desc',limit=1).values[0][0]]
|
||||
|
||||
# for model in most_model:
|
||||
# plt.plot(df_combined3['ds'], df_combined3[model], label=model,marker='o')
|
||||
# # 当前日期画竖虚线
|
||||
# plt.axvline(x=df_combined3['ds'].iloc[-horizon], color='r', linestyle='--')
|
||||
# plt.legend()
|
||||
# plt.xlabel('日期')
|
||||
# plt.ylabel('价格')
|
||||
|
||||
# plt.savefig(os.path.join(dataset,'历史价格-预测值.png'), bbox_inches='tight')
|
||||
# plt.close()
|
||||
|
||||
# 预测值表格
|
||||
fig, ax = plt.subplots(figsize=(20, 6))
|
||||
@ -886,7 +959,6 @@ def model_losss_juxiting(sqlitedb):
|
||||
# 设置表格样式，列数据最小的用绿色标识
|
||||
plt.savefig(os.path.join(dataset,'预测值表格.png'), bbox_inches='tight')
|
||||
plt.close()
|
||||
# plt.show()
|
||||
|
||||
# 可视化评估结果
|
||||
plt.rcParams['font.sans-serif'] = ['SimHei']
|
||||
|
||||
571
聚烯烃预测值绘图调试.ipynb
Normal file
571
聚烯烃预测值绘图调试.ipynb
Normal file
@ -0,0 +1,571 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"id": "7fadc60c-d710-4b8c-89cd-1d889ece1eaf",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"从eta获取数据...\n",
|
||||
"从eta获取数据...\n",
|
||||
"['ID01385938', 'lmcads03 lme comdty', 'GC1 COMB Comdty', 'C2404171822', 'dxy curncy', 'S5443199 ', 'S5479800', 'S5443108', 'H7358586', 'LC3FM1 INDEX', 'CNY REGN Curncy', 's0105897', 'M0067419', 'M0066351', 'S0266372', 'S0266438', 'S0266506']\n",
|
||||
"['ID01385938', 'lmcads03 lme comdty', 'GC1 COMB Comdty', 'C2404171822', 'dxy curncy', 'S5443199 ', 'S5479800', 'S5443108', 'H7358586', 'LC3FM1 INDEX', 'CNY REGN Curncy', 's0105897', 'M0067419', 'M0066351', 'S0266372', 'S0266438', 'S0266506']\n",
|
||||
"ID01385938\n",
|
||||
"ID01385938\n",
|
||||
"lmcads03 lme comdty\n",
|
||||
"lmcads03 lme comdty\n",
|
||||
"GC1 COMB Comdty\n",
|
||||
"GC1 COMB Comdty\n",
|
||||
"C2404171822\n",
|
||||
"C2404171822\n",
|
||||
"dxy curncy\n",
|
||||
"dxy curncy\n",
|
||||
"S5443199 \n",
|
||||
"S5443199 \n",
|
||||
"S5479800\n",
|
||||
"S5479800\n",
|
||||
"S5443108\n",
|
||||
"S5443108\n",
|
||||
"H7358586\n",
|
||||
"H7358586\n",
|
||||
"LC3FM1 INDEX\n",
|
||||
"LC3FM1 INDEX\n",
|
||||
"CNY REGN Curncy\n",
|
||||
"CNY REGN Curncy\n",
|
||||
"s0105897\n",
|
||||
"s0105897\n",
|
||||
"M0067419\n",
|
||||
"M0067419\n",
|
||||
"M0066351\n",
|
||||
"M0066351\n",
|
||||
"S0266372\n",
|
||||
"S0266372\n",
|
||||
"S0266438\n",
|
||||
"S0266438\n",
|
||||
"S0266506\n",
|
||||
"S0266506\n",
|
||||
" date PP：拉丝：1102K：市场价：青州：国家能源宁煤（日） LME铜价 黄金连1合约 Brent-WTI \\\n",
|
||||
"0 2024-11-19 7390.0 NaN 2634.7 4.12 \n",
|
||||
"1 2024-11-18 7380.0 9072.5 2614.6 4.14 \n",
|
||||
"2 2024-11-15 7380.0 9002.5 2570.1 4.02 \n",
|
||||
"3 2024-11-14 7380.0 8990.0 2572.9 3.86 \n",
|
||||
"4 2024-11-13 7380.0 9047.0 2586.5 3.85 \n",
|
||||
"\n",
|
||||
" 美元指数 甲醇鲁南价格 甲醇太仓港口价格 山东丙烯主流价 丙烷（山东） FEI丙烷 M1 在岸人民币汇率 南华工业品指数 \\\n",
|
||||
"0 106.206 NaN NaN NaN NaN 615.08 7.2387 NaN \n",
|
||||
"1 106.275 2340.0 NaN 6850.0 NaN 606.60 7.2320 3727.05 \n",
|
||||
"2 106.687 2310.0 NaN 6930.0 NaN 611.69 7.2294 3708.14 \n",
|
||||
"3 106.673 2310.0 2472.0 6945.0 NaN 618.61 7.2271 3739.76 \n",
|
||||
"4 106.481 2310.0 2480.0 6800.0 NaN 621.88 7.2340 3772.43 \n",
|
||||
"\n",
|
||||
" PVC期货主力 PE期货收盘价 PP连续-1月 PP连续-5月 PP连续-9月 \n",
|
||||
"0 NaN NaN NaN NaN NaN \n",
|
||||
"1 5284.0 NaN NaN NaN NaN \n",
|
||||
"2 5282.0 NaN NaN NaN NaN \n",
|
||||
"3 5310.0 NaN NaN NaN NaN \n",
|
||||
"4 5347.0 NaN NaN NaN NaN \n",
|
||||
" date PP：拉丝：1102K：市场价：青州：国家能源宁煤（日） LME铜价 黄金连1合约 Brent-WTI \\\n",
|
||||
"0 2024-11-19 7390.0 NaN 2634.7 4.12 \n",
|
||||
"1 2024-11-18 7380.0 9072.5 2614.6 4.14 \n",
|
||||
"2 2024-11-15 7380.0 9002.5 2570.1 4.02 \n",
|
||||
"3 2024-11-14 7380.0 8990.0 2572.9 3.86 \n",
|
||||
"4 2024-11-13 7380.0 9047.0 2586.5 3.85 \n",
|
||||
"\n",
|
||||
" 美元指数 甲醇鲁南价格 甲醇太仓港口价格 山东丙烯主流价 丙烷（山东） FEI丙烷 M1 在岸人民币汇率 南华工业品指数 \\\n",
|
||||
"0 106.206 NaN NaN NaN NaN 615.08 7.2387 NaN \n",
|
||||
"1 106.275 2340.0 NaN 6850.0 NaN 606.60 7.2320 3727.05 \n",
|
||||
"2 106.687 2310.0 NaN 6930.0 NaN 611.69 7.2294 3708.14 \n",
|
||||
"3 106.673 2310.0 2472.0 6945.0 NaN 618.61 7.2271 3739.76 \n",
|
||||
"4 106.481 2310.0 2480.0 6800.0 NaN 621.88 7.2340 3772.43 \n",
|
||||
"\n",
|
||||
" PVC期货主力 PE期货收盘价 PP连续-1月 PP连续-5月 PP连续-9月 \n",
|
||||
"0 NaN NaN NaN NaN NaN \n",
|
||||
"1 5284.0 NaN NaN NaN NaN \n",
|
||||
"2 5282.0 NaN NaN NaN NaN \n",
|
||||
"3 5310.0 NaN NaN NaN NaN \n",
|
||||
"4 5347.0 NaN NaN NaN NaN \n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"ename": "KeyError",
|
||||
"evalue": "\"None of [Index(['PP：拉丝：HP550J：市场价：青岛：金能化学（日）'], dtype='object')] are in the [columns]\"",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)",
|
||||
"Cell \u001b[1;32mIn[12], line 41\u001b[0m\n\u001b[0;32m 38\u001b[0m df_zhibiaoshuju,df_zhibiaoliebiao \u001b[38;5;241m=\u001b[39m etadata\u001b[38;5;241m.\u001b[39mget_eta_api_pp_data(data_set\u001b[38;5;241m=\u001b[39mdata_set,dataset\u001b[38;5;241m=\u001b[39mdataset) \u001b[38;5;66;03m# 原始数据，未处理\u001b[39;00m\n\u001b[0;32m 40\u001b[0m \u001b[38;5;66;03m# 数据处理\u001b[39;00m\n\u001b[1;32m---> 41\u001b[0m df \u001b[38;5;241m=\u001b[39m datachuli_juxiting(df_zhibiaoshuju,df_zhibiaoliebiao,y \u001b[38;5;241m=\u001b[39m y,dataset\u001b[38;5;241m=\u001b[39mdataset,add_kdj\u001b[38;5;241m=\u001b[39madd_kdj,is_timefurture\u001b[38;5;241m=\u001b[39mis_timefurture,end_time\u001b[38;5;241m=\u001b[39mend_time) \n\u001b[0;32m 43\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 44\u001b[0m logger\u001b[38;5;241m.\u001b[39minfo(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m读取本地数据：\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m+\u001b[39mos\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(dataset,data_set))\n",
|
||||
"File \u001b[1;32mD:\\liurui\\dev\\code\\PriceForecast\\lib\\dataread.py:635\u001b[0m, in \u001b[0;36mdatachuli_juxiting\u001b[1;34m(df_zhibiaoshuju, df_zhibiaoliebiao, datecol, end_time, y, dataset, delweekenday, add_kdj, is_timefurture)\u001b[0m\n\u001b[0;32m 632\u001b[0m df\u001b[38;5;241m.\u001b[39mrename(columns\u001b[38;5;241m=\u001b[39m{datecol:\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mds\u001b[39m\u001b[38;5;124m'\u001b[39m},inplace\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m 634\u001b[0m \u001b[38;5;66;03m# 指定列统一减少数值\u001b[39;00m\n\u001b[1;32m--> 635\u001b[0m df[offsite_col] \u001b[38;5;241m=\u001b[39m df[offsite_col]\u001b[38;5;241m-\u001b[39moffsite\n\u001b[0;32m 636\u001b[0m \u001b[38;5;66;03m# 预测列为avg_cols的均值\u001b[39;00m\n\u001b[0;32m 637\u001b[0m df[y] \u001b[38;5;241m=\u001b[39m df[avg_cols]\u001b[38;5;241m.\u001b[39mmean(axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n",
|
||||
"File \u001b[1;32md:\\ProgramData\\anaconda3\\Lib\\site-packages\\pandas\\core\\frame.py:3899\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 3897\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_iterator(key):\n\u001b[0;32m 3898\u001b[0m key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(key)\n\u001b[1;32m-> 3899\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39m_get_indexer_strict(key, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolumns\u001b[39m\u001b[38;5;124m\"\u001b[39m)[\u001b[38;5;241m1\u001b[39m]\n\u001b[0;32m 3901\u001b[0m \u001b[38;5;66;03m# take() does not accept boolean indexers\u001b[39;00m\n\u001b[0;32m 3902\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(indexer, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mbool\u001b[39m:\n",
|
||||
"File \u001b[1;32md:\\ProgramData\\anaconda3\\Lib\\site-packages\\pandas\\core\\indexes\\base.py:6115\u001b[0m, in \u001b[0;36mIndex._get_indexer_strict\u001b[1;34m(self, key, axis_name)\u001b[0m\n\u001b[0;32m 6112\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 6113\u001b[0m keyarr, indexer, new_indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reindex_non_unique(keyarr)\n\u001b[1;32m-> 6115\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_raise_if_missing(keyarr, indexer, axis_name)\n\u001b[0;32m 6117\u001b[0m keyarr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtake(indexer)\n\u001b[0;32m 6118\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(key, Index):\n\u001b[0;32m 6119\u001b[0m \u001b[38;5;66;03m# GH 42790 - Preserve name from an Index\u001b[39;00m\n",
|
||||
"File \u001b[1;32md:\\ProgramData\\anaconda3\\Lib\\site-packages\\pandas\\core\\indexes\\base.py:6176\u001b[0m, in \u001b[0;36mIndex._raise_if_missing\u001b[1;34m(self, key, indexer, axis_name)\u001b[0m\n\u001b[0;32m 6174\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m use_interval_msg:\n\u001b[0;32m 6175\u001b[0m key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(key)\n\u001b[1;32m-> 6176\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNone of [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m] are in the [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00maxis_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m]\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 6178\u001b[0m not_found \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(ensure_index(key)[missing_mask\u001b[38;5;241m.\u001b[39mnonzero()[\u001b[38;5;241m0\u001b[39m]]\u001b[38;5;241m.\u001b[39munique())\n\u001b[0;32m 6179\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnot_found\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not in index\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
|
||||
"\u001b[1;31mKeyError\u001b[0m: \"None of [Index(['PP：拉丝：HP550J：市场价：青岛：金能化学（日）'], dtype='object')] are in the [columns]\""
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# 读取配置\n",
|
||||
"from lib import *\n",
|
||||
"from lib.dataread import *\n",
|
||||
"from lib.tools import *\n",
|
||||
"from models.nerulforcastmodels import ex_Model,model_losss,brent_export_pdf,tansuanli_export_pdf,pp_export_pdf,model_losss_juxiting\n",
|
||||
"\n",
|
||||
"import glob\n",
|
||||
"import torch\n",
|
||||
"torch.set_float32_matmul_precision(\"high\")\n",
|
||||
"\n",
|
||||
"sqlitedb = SQLiteHandler(db_name) \n",
|
||||
"sqlitedb.connect()\n",
|
||||
"\n",
|
||||
"signature = BinanceAPI(APPID, SECRET)\n",
|
||||
"etadata = EtaReader(signature=signature,\n",
|
||||
" classifylisturl = classifylisturl,\n",
|
||||
" classifyidlisturl=classifyidlisturl,\n",
|
||||
" edbcodedataurl=edbcodedataurl,\n",
|
||||
" edbcodelist=edbcodelist,\n",
|
||||
" edbdatapushurl=edbdatapushurl,\n",
|
||||
" edbdeleteurl=edbdeleteurl,\n",
|
||||
" edbbusinessurl=edbbusinessurl\n",
|
||||
" )\n",
|
||||
"# 获取数据\n",
|
||||
"if is_eta:\n",
|
||||
" # eta数据\n",
|
||||
" logger.info('从eta获取数据...')\n",
|
||||
" signature = BinanceAPI(APPID, SECRET)\n",
|
||||
" etadata = EtaReader(signature=signature,\n",
|
||||
" classifylisturl = classifylisturl,\n",
|
||||
" classifyidlisturl=classifyidlisturl,\n",
|
||||
" edbcodedataurl=edbcodedataurl,\n",
|
||||
" edbcodelist=edbcodelist,\n",
|
||||
" edbdatapushurl=edbdatapushurl,\n",
|
||||
" edbdeleteurl=edbdeleteurl,\n",
|
||||
" edbbusinessurl=edbbusinessurl,\n",
|
||||
" )\n",
|
||||
" df_zhibiaoshuju,df_zhibiaoliebiao = etadata.get_eta_api_pp_data(data_set=data_set,dataset=dataset) # 原始数据，未处理\n",
|
||||
"\n",
|
||||
" # 数据处理\n",
|
||||
" df = datachuli_juxiting(df_zhibiaoshuju,df_zhibiaoliebiao,y = y,dataset=dataset,add_kdj=add_kdj,is_timefurture=is_timefurture,end_time=end_time) \n",
|
||||
"\n",
|
||||
"else:\n",
|
||||
" logger.info('读取本地数据：'+os.path.join(dataset,data_set))\n",
|
||||
" df = getdata_juxiting(filename=os.path.join(dataset,data_set),y=y,dataset=dataset,add_kdj=add_kdj,is_timefurture=is_timefurture,end_time=end_time) # 原始数据，未处理\n",
|
||||
"\n",
|
||||
"# 更改预测列名称\n",
|
||||
"df.rename(columns={y:'y'},inplace=True)\n",
|
||||
" \n",
|
||||
"if is_edbnamelist:\n",
|
||||
" df = df[edbnamelist] \n",
|
||||
"df.to_csv(os.path.join(dataset,'指标数据.csv'), index=False)\n",
|
||||
"\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "ae059224-976c-4839-b455-f81da7f25179",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# 保存最新日期的y值到数据库\n",
|
||||
"# 取第一行数据存储到数据库中\n",
|
||||
"first_row = df[['ds','y']].tail(1)\n",
|
||||
"# 将最新真实值保存到数据库\n",
|
||||
"if not sqlitedb.check_table_exists('trueandpredict'):\n",
|
||||
" first_row.to_sql('trueandpredict',sqlitedb.connection,index=False)\n",
|
||||
"else:\n",
|
||||
" for row in first_row.itertuples(index=False):\n",
|
||||
" row_dict = row._asdict()\n",
|
||||
" row_dict['ds'] = row_dict['ds'].strftime('%Y-%m-%d %H:%M:%S')\n",
|
||||
" check_query = sqlitedb.select_data('trueandpredict',where_condition = f\"ds = '{row.ds}'\")\n",
|
||||
" if len(check_query) > 0:\n",
|
||||
" set_clause = \", \".join([f\"{key} = '{value}'\" for key, value in row_dict.items()])\n",
|
||||
" sqlitedb.update_data('trueandpredict',set_clause,where_condition = f\"ds = '{row.ds}'\")\n",
|
||||
" continue\n",
|
||||
" sqlitedb.insert_data('trueandpredict',tuple(row_dict.values()),columns=row_dict.keys())\n",
|
||||
"\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "abb597fc-c5f3-4d76-8099-5eff358cb634",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import datetime\n",
|
||||
"# 判断当前日期是不是周一\n",
|
||||
"is_weekday = datetime.datetime.now().weekday() == 1\n",
|
||||
"if is_weekday:\n",
|
||||
" logger.info('今天是周一，更新预测模型')\n",
|
||||
" # 计算最近20天预测残差最低的模型名称\n",
|
||||
"\n",
|
||||
" model_results = sqlitedb.select_data('trueandpredict',order_by = \"ds DESC\",limit = \"20\")\n",
|
||||
" # 删除空值率为40%以上的列\n",
|
||||
" print(model_results.shape)\n",
|
||||
" model_results = model_results.dropna(thresh=len(model_results)*0.6,axis=1)\n",
|
||||
" model_results = model_results.dropna()\n",
|
||||
" print(model_results.shape)\n",
|
||||
" modelnames = model_results.columns.to_list()[2:] \n",
|
||||
" for col in model_results[modelnames].select_dtypes(include=['object']).columns:\n",
|
||||
" model_results[col] = model_results[col].astype(np.float32)\n",
|
||||
" # 计算每个预测值与真实值之间的偏差率\n",
|
||||
" for model in modelnames:\n",
|
||||
" model_results[f'{model}_abs_error_rate'] = abs(model_results['y'] - model_results[model]) / model_results['y']\n",
|
||||
"\n",
|
||||
" # 获取每行对应的最小偏差率值\n",
|
||||
" min_abs_error_rate_values = model_results.apply(lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].min(), axis=1)\n",
|
||||
" # 获取每行对应的最小偏差率值对应的列名\n",
|
||||
" min_abs_error_rate_column_name = model_results.apply(lambda row: row[[f'{model}_abs_error_rate' for model in modelnames]].idxmin(), axis=1)\n",
|
||||
" print(min_abs_error_rate_column_name)\n",
|
||||
" # 将列名索引转换为列名\n",
|
||||
" min_abs_error_rate_column_name = min_abs_error_rate_column_name.map(lambda x: x.split('_')[0])\n",
|
||||
" # 取出现次数最多的模型名称\n",
|
||||
" most_common_model = min_abs_error_rate_column_name.value_counts().idxmax()\n",
|
||||
" logger.info(f\"最近20天预测残差最低的模型名称：{most_common_model}\")\n",
|
||||
"\n",
|
||||
" # 保存结果到数据库\n",
|
||||
" \n",
|
||||
" if not sqlitedb.check_table_exists('most_model'):\n",
|
||||
" sqlitedb.create_table('most_model',columns=\"ds datetime, most_common_model TEXT\")\n",
|
||||
" sqlitedb.insert_data('most_model',(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'),most_common_model,),columns=('ds','most_common_model',))\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "ade7026e-8cf2-405f-a2da-9e90f364adab",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"if is_corr:\n",
|
||||
" df = corr_feature(df=df)\n",
|
||||
"\n",
|
||||
"df1 = df.copy() # 备份一下，后面特征筛选完之后加入ds y 列用\n",
|
||||
"logger.info(f\"开始训练模型...\")\n",
|
||||
"row,col = df.shape\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "dfef57d8-36da-423b-bbe7-05a13e15f71b",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"now = datetime.datetime.now().strftime('%Y%m%d%H%M%S')\n",
|
||||
"ex_Model(df,\n",
|
||||
" horizon=horizon,\n",
|
||||
" input_size=input_size,\n",
|
||||
" train_steps=train_steps,\n",
|
||||
" val_check_steps=val_check_steps,\n",
|
||||
" early_stop_patience_steps=early_stop_patience_steps,\n",
|
||||
" is_debug=is_debug,\n",
|
||||
" dataset=dataset,\n",
|
||||
" is_train=is_train,\n",
|
||||
" is_fivemodels=is_fivemodels,\n",
|
||||
" val_size=val_size,\n",
|
||||
" test_size=test_size,\n",
|
||||
" settings=settings,\n",
|
||||
" now=now,\n",
|
||||
" etadata = etadata,\n",
|
||||
" modelsindex = modelsindex,\n",
|
||||
" data = data,\n",
|
||||
" is_eta=is_eta,\n",
|
||||
" )\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "0e5b6f30-b7ca-4718-97a3-48b54156e07f",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"logger.info('模型训练完成')\n",
|
||||
"# # 模型评估\n",
|
||||
"\n",
|
||||
"pd.set_option('display.max_columns', 100)\n",
|
||||
"# 计算预测评估指数\n",
|
||||
"def model_losss_juxiting(sqlitedb):\n",
|
||||
" global dataset\n",
|
||||
" # 数据库查询最佳模型名称\n",
|
||||
" most_model = [sqlitedb.select_data('most_model',columns=['most_common_model'],order_by='ds desc',limit=1).values[0][0]]\n",
|
||||
" most_model_name = most_model[0]\n",
|
||||
"\n",
|
||||
" # 预测数据处理 predict\n",
|
||||
" df_combined = loadcsv(os.path.join(dataset,\"cross_validation.csv\")) \n",
|
||||
" df_combined = dateConvert(df_combined)\n",
|
||||
" # 删除空列\n",
|
||||
" df_combined.dropna(axis=1,inplace=True)\n",
|
||||
" # 删除缺失值,预测过程不能有缺失值\n",
|
||||
" df_combined.dropna(inplace=True) \n",
|
||||
" # 其他列转为数值类型\n",
|
||||
" df_combined = df_combined.astype({col: 'float32' for col in df_combined.columns if col not in ['cutoff','ds'] })\n",
|
||||
" # 使用 groupby 和 transform 结合 lambda 函数来获取每个分组中 cutoff 的最小值，并创建一个新的列来存储这个最大值\n",
|
||||
" df_combined['max_cutoff'] = df_combined.groupby('ds')['cutoff'].transform('max')\n",
|
||||
"\n",
|
||||
" # 然后筛选出那些 cutoff 等于 max_cutoff 的行，这样就得到了每个分组中 cutoff 最大的行，并保留了其他列\n",
|
||||
" df_combined = df_combined[df_combined['cutoff'] == df_combined['max_cutoff']]\n",
|
||||
" # 删除模型生成的cutoff列\n",
|
||||
" df_combined.drop(columns=['cutoff', 'max_cutoff'], inplace=True)\n",
|
||||
" # 获取模型名称\n",
|
||||
" modelnames = df_combined.columns.to_list()[1:] \n",
|
||||
" if 'y' in modelnames:\n",
|
||||
" modelnames.remove('y')\n",
|
||||
" df_combined3 = df_combined.copy() # 备份df_combined,后面画图需要\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" # 空的列表存储每个模型的MSE、RMSE、MAE、MAPE、SMAPE\n",
|
||||
" cellText = []\n",
|
||||
"\n",
|
||||
" # 遍历模型名称，计算模型评估指标 \n",
|
||||
" for model in modelnames:\n",
|
||||
" modelmse = mse(df_combined['y'], df_combined[model])\n",
|
||||
" modelrmse = rmse(df_combined['y'], df_combined[model])\n",
|
||||
" modelmae = mae(df_combined['y'], df_combined[model])\n",
|
||||
" # modelmape = mape(df_combined['y'], df_combined[model])\n",
|
||||
" # modelsmape = smape(df_combined['y'], df_combined[model])\n",
|
||||
" # modelr2 = r2_score(df_combined['y'], df_combined[model])\n",
|
||||
" cellText.append([model,round(modelmse, 3), round(modelrmse, 3), round(modelmae, 3)])\n",
|
||||
" \n",
|
||||
" model_results3 = pd.DataFrame(cellText,columns=['模型(Model)','平均平方误差(MSE)', '均方根误差(RMSE)', '平均绝对误差(MAE)'])\n",
|
||||
" # 按MSE降序排列\n",
|
||||
" model_results3 = model_results3.sort_values(by='平均平方误差(MSE)', ascending=True)\n",
|
||||
" model_results3.to_csv(os.path.join(dataset,\"model_evaluation.csv\"),index=False)\n",
|
||||
" modelnames = model_results3['模型(Model)'].tolist()\n",
|
||||
" allmodelnames = modelnames.copy()\n",
|
||||
" # 保存5个最佳模型的名称\n",
|
||||
" if len(modelnames) > 5:\n",
|
||||
" modelnames = modelnames[0:5]\n",
|
||||
" with open(os.path.join(dataset,\"best_modelnames.txt\"), 'w') as f:\n",
|
||||
" f.write(','.join(modelnames) + '\\n')\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" # 去掉方差最大的模型，其余模型预测最大最小值确定通道边界\n",
|
||||
" best_models = pd.read_csv(os.path.join(dataset,'best_modelnames.txt'),header=None).values.flatten().tolist()\n",
|
||||
" \n",
|
||||
"\n",
|
||||
" # 预测值与真实值对比图\n",
|
||||
" plt.rcParams['font.sans-serif'] = ['SimHei']\n",
|
||||
" plt.figure(figsize=(15, 10))\n",
|
||||
" # 设置有5个子图的画布\n",
|
||||
" for n,model in enumerate(modelnames[:5]):\n",
|
||||
" plt.subplot(3, 2, n+1)\n",
|
||||
" plt.plot(df_combined3['ds'], df_combined3['y'], label='真实值')\n",
|
||||
" plt.plot(df_combined3['ds'], df_combined3[model], label=model)\n",
|
||||
" plt.legend()\n",
|
||||
" plt.xlabel('日期')\n",
|
||||
" plt.ylabel('价格')\n",
|
||||
" plt.title(model+'拟合')\n",
|
||||
" plt.subplots_adjust(hspace=0.5)\n",
|
||||
" plt.savefig(os.path.join(dataset,'预测值与真实值对比图.png'), bbox_inches='tight')\n",
|
||||
" plt.close()\n",
|
||||
" \n",
|
||||
" # 历史数据+预测数据\n",
|
||||
" # 拼接未来时间预测\n",
|
||||
" df_predict = loadcsv(os.path.join(dataset,'predict.csv'))\n",
|
||||
" df_predict.drop('unique_id',inplace=True,axis=1)\n",
|
||||
" df_predict.dropna(axis=1,inplace=True)\n",
|
||||
" df_predict2 = df_predict.copy()\n",
|
||||
" try:\n",
|
||||
" df_predict['ds'] = pd.to_datetime(df_predict['ds'],format=r'%Y-%m-%d')\n",
|
||||
" except ValueError :\n",
|
||||
" df_predict['ds'] = pd.to_datetime(df_predict['ds'],format=r'%Y/%m/%d')\n",
|
||||
"\n",
|
||||
" # 取第一行数据存储到数据库中\n",
|
||||
" first_row = df_predict.head(1)\n",
|
||||
" first_row['ds'] = first_row['ds'].dt.strftime('%Y-%m-%d 00:00:00')\n",
|
||||
"\n",
|
||||
" # # 将预测结果保存到数据库\n",
|
||||
" # # 判断表存在\n",
|
||||
" if not sqlitedb.check_table_exists('testandpredict_groupby'):\n",
|
||||
" df_predict2.to_sql('testandpredict_groupby',sqlitedb.connection,index=False)\n",
|
||||
" else:\n",
|
||||
" for row in df_predict2.itertuples(index=False):\n",
|
||||
" row_dict = row._asdict()\n",
|
||||
" check_query = sqlitedb.select_data('testandpredict_groupby',where_condition = f\"ds = '{row.ds}'\")\n",
|
||||
" if len(check_query) > 0:\n",
|
||||
" set_clause = \", \".join([f\"{key} = '{value}'\" for key, value in row_dict.items()])\n",
|
||||
" sqlitedb.update_data('testandpredict_groupby',set_clause,where_condition = f\"ds = '{row.ds}'\")\n",
|
||||
" continue\n",
|
||||
" sqlitedb.insert_data('testandpredict_groupby',tuple(row_dict.values()),columns=row_dict.keys())\n",
|
||||
"\n",
|
||||
" df_combined3 = pd.concat([df_combined3, df_predict]).reset_index(drop=True)\n",
|
||||
"\n",
|
||||
" # # 判断 df 的数值列转为float\n",
|
||||
" for col in df_combined3.columns:\n",
|
||||
" try:\n",
|
||||
" if col != 'ds':\n",
|
||||
" df_combined3[col] = df_combined3[col].astype(float)\n",
|
||||
" df_combined3[col] = df_combined3[col].round(2)\n",
|
||||
" except ValueError:\n",
|
||||
" pass\n",
|
||||
" df_combined3.to_csv(os.path.join(dataset,\"df_combined3.csv\"),index=False) \n",
|
||||
" df_combined3.to_sql('testandpredict_groupby', sqlitedb.connection, if_exists='replace', index=False)\n",
|
||||
" df_combined3.to_csv(os.path.join(dataset,\"testandpredict_groupby.csv\"),index=False)\n",
|
||||
" \n",
|
||||
" \n",
|
||||
" ten_models = allmodelnames\n",
|
||||
" # 计算每个模型的方差\n",
|
||||
" variances = df_combined3[ten_models].var()\n",
|
||||
" # 找到方差最大的模型\n",
|
||||
" max_variance_model = variances.idxmax()\n",
|
||||
" # 打印方差最大的模型\n",
|
||||
" print(\"方差最大的模型是：\", max_variance_model)\n",
|
||||
" # 去掉方差最大的模型\n",
|
||||
" df_combined3 = df_combined3.drop(columns=[max_variance_model])\n",
|
||||
" if max_variance_model in allmodelnames:\n",
|
||||
" allmodelnames.remove(max_variance_model)\n",
|
||||
" df_combined3['min'] = df_combined3[allmodelnames].min(axis=1)\n",
|
||||
" df_combined3['max'] = df_combined3[allmodelnames].max(axis=1)\n",
|
||||
" print(df_combined3[['min','max']])\n",
|
||||
" # 历史价格+预测价格\n",
|
||||
" df_combined3 = df_combined3[-50:] # 取50个数据点画图\n",
|
||||
" plt.figure(figsize=(20, 10))\n",
|
||||
" plt.plot(df_combined3['ds'], df_combined3['y'], label='真实值',marker='o')\n",
|
||||
" plt.plot(df_combined3['ds'], df_combined3[most_model], label=most_model_name)\n",
|
||||
" plt.fill_between(df_combined3['ds'], df_combined3['min'], df_combined3['max'], alpha=0.2)\n",
|
||||
" plt.grid(True)\n",
|
||||
" # 当前日期画竖虚线\n",
|
||||
" plt.axvline(x=df_combined3['ds'].iloc[-horizon], color='r', linestyle='--')\n",
|
||||
" plt.legend()\n",
|
||||
" plt.xlabel('日期')\n",
|
||||
" plt.ylabel('价格')\n",
|
||||
"\n",
|
||||
" # # 显示历史值\n",
|
||||
" for i, j in zip(df_combined3['ds'][:-5], df_combined3['y'][:-5]):\n",
|
||||
" plt.text(i, j, str(j), ha='center', va='bottom')\n",
|
||||
" plt.savefig(os.path.join(dataset,'历史价格-预测值.png'), bbox_inches='tight')\n",
|
||||
" plt.show()\n",
|
||||
" plt.close()\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" \n",
|
||||
" # 预测值表格\n",
|
||||
" fig, ax = plt.subplots(figsize=(20, 6))\n",
|
||||
" ax.axis('off') # 关闭坐标轴\n",
|
||||
" # 数值保留2位小数\n",
|
||||
" df_combined3 = df_combined3.round(2)\n",
|
||||
" df_combined3 = df_combined3[-horizon:]\n",
|
||||
" df_combined3['Day'] = [f'Day_{i}' for i in range(1,horizon+1)]\n",
|
||||
" # Day列放到最前面\n",
|
||||
" df_combined3 = df_combined3[['Day'] + list(df_combined3.columns[:-1])]\n",
|
||||
" table = ax.table(cellText=df_combined3.values, colLabels=df_combined3.columns, loc='center')\n",
|
||||
" #加宽表格\n",
|
||||
" table.auto_set_font_size(False)\n",
|
||||
" table.set_fontsize(10)\n",
|
||||
"\n",
|
||||
" # 设置表格样式，列数据最小的用绿色标识\n",
|
||||
" plt.savefig(os.path.join(dataset,'预测值表格.png'), bbox_inches='tight')\n",
|
||||
" plt.close()\n",
|
||||
" # plt.show()\n",
|
||||
" \n",
|
||||
" # 可视化评估结果\n",
|
||||
" plt.rcParams['font.sans-serif'] = ['SimHei']\n",
|
||||
" fig, ax = plt.subplots(figsize=(20, 10))\n",
|
||||
" ax.axis('off') # 关闭坐标轴\n",
|
||||
" table = ax.table(cellText=model_results3.values, colLabels=model_results3.columns, loc='center')\n",
|
||||
" # 加宽表格\n",
|
||||
" table.auto_set_font_size(False)\n",
|
||||
" table.set_fontsize(10)\n",
|
||||
"\n",
|
||||
" # 设置表格样式，列数据最小的用绿色标识\n",
|
||||
" plt.savefig(os.path.join(dataset,'模型评估.png'), bbox_inches='tight')\n",
|
||||
" plt.close()\n",
|
||||
" return model_results3\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"logger.info('训练数据绘图ing')\n",
|
||||
"model_results3 = model_losss_juxiting(sqlitedb)\n",
|
||||
"\n",
|
||||
"logger.info('训练数据绘图end')\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "85b557de-8235-4e27-b5b8-58b36dfe6724",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# 模型报告\n",
|
||||
"\n",
|
||||
"logger.info('制作报告ing')\n",
|
||||
"title = f'{settings}--{now}-预测报告' # 报告标题\n",
|
||||
"\n",
|
||||
"pp_export_pdf(dataset=dataset,num_models = 5 if is_fivemodels else 22,time=end_time,\n",
|
||||
" reportname=reportname,sqlitedb=sqlitedb),\n",
|
||||
"\n",
|
||||
"logger.info('制作报告end')\n",
|
||||
"logger.info('模型训练完成')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "d4129e71-ee2c-4af1-81ed-fadf14efa206",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# 发送邮件\n",
|
||||
"m = SendMail(\n",
|
||||
" username=username,\n",
|
||||
" passwd=passwd,\n",
|
||||
" recv=recv,\n",
|
||||
" title=title,\n",
|
||||
" content=content,\n",
|
||||
" file=max(glob.glob(os.path.join(dataset,'*.pdf')), key=os.path.getctime),\n",
|
||||
" ssl=ssl,\n",
|
||||
")\n",
|
||||
"# m.send_mail() \n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "7fd18381-ca65-4190-b42b-4e602c1138be",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "ce150fc7-2d3b-4599-846e-cfb436515771",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.7"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
3535
预测值绘图调试.ipynb
3535
预测值绘图调试.ipynb
File diff suppressed because one or more lines are too long
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Reference in New Issue
Block a user