OpenFinArena/FinDeepIndicator huggingface dataset:
Question: 大秦铁路的VaR（参数法），在2019年12月05日-2020年08月21日期间为多少？（1日VaR；损失用正数表示；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r)
Data:
date,close
2019-12-04,7.9
2019-12-05,7.86
2019-12-06,7.88
2019-12-09,7.89
2019-12-10,7.79
2019-12-11,7.8
2019-12-12,7.83
2019-12-13,7.93
2019-12-16,7.95
2019-12-17,8.0
2019-12-18,8.1
2019-12-19,8.17
2019-12-20,8.22
2019-12-23,8.15
2019-12-24,8.09
2019-12-25,8.12
2019-12-26,8.13
2019-12-27,8.1
2019-12-30,8.22
2019-12-31,8.21
2020-01-02,8.17
2020-01-03,8.16
2020-01-06,8.07
2020-01-07,8.12
2020-01-08,8.04
2020-01-09,8.12
2020-01-10,8.1
2020-01-13,8.03
2020-01-14,8.04
2020-01-15,7.95
2020-01-16,7.92
2020-01-17,7.93
2020-01-20,8.0
2020-01-21,7.91
2020-01-22,7.84
2020-01-23,7.7
2020-02-03,7.22
2020-02-04,7.39
2020-02-05,7.38
2020-02-06,7.37
2020-02-07,7.37
2020-02-10,7.29
2020-02-11,7.34
2020-02-12,7.35
2020-02-13,7.32
2020-02-14,7.3
2020-02-17,7.4
2020-02-18,7.38
2020-02-19,7.37
2020-02-20,7.42
2020-02-21,7.42
2020-02-24,7.32
2020-02-25,7.24
2020-02-26,7.29
2020-02-27,7.25
2020-02-28,7.08
2020-03-02,7.21
2020-03-03,7.23
2020-03-04,7.31
2020-03-05,7.38
2020-03-06,7.28
2020-03-09,7.13
2020-03-10,7.19
2020-03-11,7.12
2020-03-12,7.13
2020-03-13,7.05
2020-03-16,7.02
2020-03-17,7.05
2020-03-18,6.97
2020-03-19,6.76
2020-03-20,6.79
2020-03-23,6.69
2020-03-24,6.83
2020-03-25,6.9
2020-03-26,6.79
2020-03-27,6.85
2020-03-30,6.8
2020-03-31,6.8
2020-04-01,6.73
2020-04-02,6.8
2020-04-03,6.78
2020-04-07,6.88
2020-04-08,6.87
2020-04-09,6.86
2020-04-10,6.89
2020-04-13,6.81
2020-04-14,6.89
2020-04-15,6.85
2020-04-16,6.83
2020-04-17,6.85
2020-04-20,6.82
2020-04-21,6.74
2020-04-22,6.78
2020-04-23,6.82
2020-04-24,6.81
2020-04-27,6.78
2020-04-28,6.72
2020-04-29,7.08
2020-04-30,7.18
2020-05-06,7.0
2020-05-07,6.97
2020-05-08,6.95
2020-05-11,6.96
2020-05-12,6.96
2020-05-13,6.96
2020-05-14,6.93
2020-05-15,6.92
2020-05-18,6.93
2020-05-19,6.9
2020-05-20,6.84
2020-05-21,6.82
2020-05-22,6.76
2020-05-25,6.75
2020-05-26,6.78
2020-05-27,6.81
2020-05-28,6.86
2020-05-29,6.82
2020-06-01,6.86
2020-06-02,6.93
2020-06-03,6.94
2020-06-04,6.93
2020-06-05,6.96
2020-06-08,6.98
2020-06-09,7.05
2020-06-10,7.03
2020-06-11,7.01
2020-06-12,6.94
2020-06-15,6.94
2020-06-16,6.99
2020-06-17,7.05
2020-06-18,7.09
2020-06-19,7.13
2020-06-22,7.07
2020-06-23,7.07
2020-06-24,7.07
2020-06-29,7.0
2020-06-30,7.04
2020-07-01,7.02
2020-07-02,6.6
2020-07-03,6.71
2020-07-06,7.01
2020-07-07,6.97
2020-07-08,6.94
2020-07-09,6.99
2020-07-10,6.86
2020-07-13,6.87
2020-07-14,6.8
2020-07-15,6.73
2020-07-16,6.6
2020-07-17,6.56
2020-07-20,6.69
2020-07-21,6.66
2020-07-22,6.65
2020-07-23,6.55
2020-07-24,6.44
2020-07-27,6.44
2020-07-28,6.48
2020-07-29,6.54
2020-07-30,6.54
2020-07-31,6.49
2020-08-03,6.52
2020-08-04,6.56
2020-08-05,6.52
2020-08-06,6.51
2020-08-07,6.46
2020-08-10,6.54
2020-08-11,6.51
2020-08-12,6.62
2020-08-13,6.62
2020-08-14,6.64
2020-08-17,6.72
2020-08-18,6.68
2020-08-19,6.65
2020-08-20,6.59
2020-08-21,6.59

Indicator data:
Answer: 0.0213
Question: 对于2020年06月21日-2020年11月21日的VaR（参数法），深南电路的值是？（1日VaR；损失用正数表示；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r)
Data:
date,close
2020-06-19,163.46
2020-06-22,162.98
2020-06-23,159.34
2020-06-24,167.09
2020-06-29,165.41
2020-06-30,167.52
2020-07-01,168.99
2020-07-02,166.61
2020-07-03,169.02
2020-07-06,175.98
2020-07-07,180.67
2020-07-08,183.59
2020-07-09,194.1
2020-07-10,188.05
2020-07-13,193.53
2020-07-14,184.05
2020-07-15,173.31
2020-07-16,162.66
2020-07-17,162.67
2020-07-20,165.19
2020-07-21,164.65
2020-07-22,164.7
2020-07-23,160.49
2020-07-24,151.5
2020-07-27,147.87
2020-07-28,147.21
2020-07-29,153.73
2020-07-30,152.61
2020-07-31,154.14
2020-08-03,158.65
2020-08-04,157.0
2020-08-05,159.05
2020-08-06,156.04
2020-08-07,150.91
2020-08-10,151.67
2020-08-11,148.64
2020-08-12,145.16
2020-08-13,144.0
2020-08-14,145.56
2020-08-17,148.02
2020-08-18,146.44
2020-08-19,141.9
2020-08-20,142.84
2020-08-21,139.5
2020-08-24,140.95
2020-08-25,144.1
2020-08-26,137.3
2020-08-27,137.27
2020-08-28,139.14
2020-08-31,138.65
2020-09-01,141.74
2020-09-02,140.7
2020-09-03,138.0
2020-09-04,138.1
2020-09-07,133.07
2020-09-08,123.98
2020-09-09,116.03
2020-09-10,114.52
2020-09-11,116.18
2020-09-14,115.71
2020-09-15,116.6
2020-09-16,115.1
2020-09-17,122.55
2020-09-18,121.16
2020-09-21,124.49
2020-09-22,122.48
2020-09-23,121.15
2020-09-24,117.58
2020-09-25,117.6
2020-09-28,117.47
2020-09-29,117.13
2020-09-30,116.5
2020-10-09,120.98
2020-10-12,126.5
2020-10-13,126.68
2020-10-14,122.9
2020-10-15,123.0
2020-10-16,122.3
2020-10-19,120.35
2020-10-20,121.48
2020-10-21,117.15
2020-10-22,118.95
2020-10-23,115.97
2020-10-26,114.85
2020-10-27,116.64
2020-10-28,107.0
2020-10-29,104.98
2020-10-30,107.8
2020-11-02,102.85
2020-11-03,105.57
2020-11-04,106.3
2020-11-05,115.66
2020-11-06,117.21
2020-11-09,124.9
2020-11-10,120.41
2020-11-11,115.9
2020-11-12,117.54
2020-11-13,117.98
2020-11-16,114.9
2020-11-17,114.43
2020-11-18,108.51
2020-11-19,110.69
2020-11-20,109.8

Indicator data:
Answer: 0.0526
Question: 计算浪潮信息2021年12月01日至2022年03月28日的VaR（参数法）。（1日VaR；损失用正数表示；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: VaR_c = \Phi^{-1}(c) * \sigma(r) - \mu(r)
Data:
date,close
2021-11-30,32.5
2021-12-01,33.46
2021-12-02,33.36
2021-12-03,33.34
2021-12-06,32.7
2021-12-07,32.32
2021-12-08,34.1
2021-12-09,35.2
2021-12-10,34.59
2021-12-13,34.94
2021-12-14,35.14
2021-12-15,35.23
2021-12-16,35.1
2021-12-17,34.4
2021-12-20,33.8
2021-12-21,33.94
2021-12-22,34.31
2021-12-23,34.73
2021-12-24,35.5
2021-12-27,35.91
2021-12-28,35.76
2021-12-29,35.35
2021-12-30,35.37
2021-12-31,35.83
2022-01-04,35.93
2022-01-05,36.22
2022-01-06,35.77
2022-01-07,33.72
2022-01-10,34.1
2022-01-11,33.78
2022-01-12,34.05
2022-01-13,33.31
2022-01-14,32.9
2022-01-17,35.35
2022-01-18,36.4
2022-01-19,36.42
2022-01-20,36.7
2022-01-21,36.3
2022-01-24,36.53
2022-01-25,35.45
2022-01-26,35.02
2022-01-27,34.05
2022-01-28,33.77
2022-02-07,30.82
2022-02-08,31.56
2022-02-09,32.14
2022-02-10,32.15
2022-02-11,31.5
2022-02-14,30.82
2022-02-15,31.06
2022-02-16,31.92
2022-02-17,31.47
2022-02-18,33.29
2022-02-21,36.22
2022-02-22,35.25
2022-02-23,35.18
2022-02-24,34.17
2022-02-25,33.75
2022-02-28,32.93
2022-03-01,32.94
2022-03-02,32.3
2022-03-03,32.0
2022-03-04,31.84
2022-03-07,30.18
2022-03-08,30.35
2022-03-09,29.77
2022-03-10,29.81
2022-03-11,30.2
2022-03-14,29.01
2022-03-15,27.5
2022-03-16,28.35
2022-03-17,28.82
2022-03-18,28.94
2022-03-21,28.58
2022-03-22,28.42
2022-03-23,29.05
2022-03-24,28.37
2022-03-25,28.03
2022-03-28,28.0

Indicator data:
Answer: 0.0455
Question: 山东黄金2022年10月21日至2023年05月18日的VaR（历史模拟法）的值是？（1日VaR；损失用正数表示；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: VaR_c = -Q_{1-c}(r)；Q_p 为 p 分位数
Data:
date,close
2022-10-20,16.93
2022-10-21,16.88
2022-10-24,17.2
2022-10-25,16.95
2022-10-26,17.28
2022-10-27,17.55
2022-10-28,17.43
2022-10-31,17.3
2022-11-01,17.54
2022-11-02,17.66
2022-11-03,17.54
2022-11-04,17.67
2022-11-07,17.89
2022-11-08,18.02
2022-11-09,18.68
2022-11-10,18.58
2022-11-11,20.08
2022-11-14,19.5
2022-11-15,19.55
2022-11-16,20.05
2022-11-17,19.85
2022-11-18,19.64
2022-11-21,19.41
2022-11-22,19.61
2022-11-23,19.54
2022-11-24,20.05
2022-11-25,20.89
2022-11-28,20.86
2022-11-29,20.41
2022-11-30,20.45
2022-12-01,20.97
2022-12-02,20.8
2022-12-05,20.94
2022-12-06,20.71
2022-12-07,20.37
2022-12-08,20.51
2022-12-09,20.59
2022-12-12,19.29
2022-12-13,19.8
2022-12-14,19.88
2022-12-15,19.27
2022-12-16,19.27
2022-12-19,19.07
2022-12-20,18.98
2022-12-21,19.0
2022-12-22,18.84
2022-12-23,18.81
2022-12-26,18.65
2022-12-27,18.99
2022-12-28,19.06
2022-12-29,18.91
2022-12-30,19.16
2023-01-03,19.49
2023-01-04,19.58
2023-01-05,19.38
2023-01-06,19.2
2023-01-09,19.96
2023-01-10,19.9
2023-01-11,19.78
2023-01-12,19.58
2023-01-13,19.6
2023-01-16,19.82
2023-01-17,19.62
2023-01-18,19.65
2023-01-19,19.37
2023-01-20,20.0
2023-01-30,19.85
2023-01-31,19.79
2023-02-01,20.19
2023-02-02,20.41
2023-02-03,19.95
2023-02-06,19.11
2023-02-07,19.25
2023-02-08,19.11
2023-02-09,19.18
2023-02-10,19.04
2023-02-13,19.13
2023-02-14,19.26
2023-02-15,19.15
2023-02-16,18.89
2023-02-17,18.76
2023-02-20,18.98
2023-02-21,19.1
2023-02-22,19.22
2023-02-23,19.17
2023-02-24,18.95
2023-02-27,18.83
2023-02-28,18.98
2023-03-01,19.15
2023-03-02,19.2
2023-03-03,19.23
2023-03-06,19.57
2023-03-07,19.71
2023-03-08,19.11
2023-03-09,19.13
2023-03-10,19.45
2023-03-13,20.05
2023-03-14,20.8
2023-03-15,20.59
2023-03-16,20.81
2023-03-17,20.86
2023-03-20,21.8
2023-03-21,21.53
2023-03-22,21.3
2023-03-23,21.97
2023-03-24,21.81
2023-03-27,21.79
2023-03-28,21.47
2023-03-29,21.44
2023-03-30,21.34
2023-03-31,22.04
2023-04-03,21.61
2023-04-04,22.76
2023-04-06,24.85
2023-04-07,24.97
2023-04-10,24.52
2023-04-11,25.86
2023-04-12,26.18
2023-04-13,26.39
2023-04-14,27.29
2023-04-17,26.82
2023-04-18,26.9
2023-04-19,26.48
2023-04-20,26.0
2023-04-21,25.65
2023-04-24,24.99
2023-04-25,25.45
2023-04-26,25.25
2023-04-27,25.96
2023-04-28,25.7
2023-05-04,26.65
2023-05-05,26.38
2023-05-08,26.5
2023-05-09,25.67
2023-05-10,25.37
2023-05-11,24.89
2023-05-12,23.99
2023-05-15,24.13
2023-05-16,24.09
2023-05-17,23.97
2023-05-18,24.84

Indicator data:
Answer: 0.0259
Question: 2023年07月22日到2024年03月05日，中芯国际的VaR（历史模拟法）是多少？（1日VaR；损失用正数表示；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: VaR_c = -Q_{1-c}(r)；Q_p 为 p 分位数
Data:
date,close
2023-07-21,49.0
2023-07-24,49.0
2023-07-25,49.77
2023-07-26,50.15
2023-07-27,49.39
2023-07-28,50.26
2023-07-31,51.36
2023-08-01,50.72
2023-08-02,50.83
2023-08-03,50.91
2023-08-04,51.1
2023-08-07,49.26
2023-08-08,49.47
2023-08-09,48.64
2023-08-10,48.47
2023-08-11,46.92
2023-08-14,47.34
2023-08-15,47.52
2023-08-16,47.55
2023-08-17,48.15
2023-08-18,48.01
2023-08-21,47.68
2023-08-22,48.82
2023-08-23,47.89
2023-08-24,48.62
2023-08-25,48.3
2023-08-28,48.55
2023-08-29,51.0
2023-08-30,52.94
2023-08-31,54.24
2023-09-01,53.68
2023-09-04,56.9
2023-09-05,55.63
2023-09-06,56.83
2023-09-07,52.12
2023-09-08,52.5
2023-09-11,52.06
2023-09-12,51.52
2023-09-13,50.76
2023-09-14,50.77
2023-09-15,51.7
2023-09-18,49.63
2023-09-19,49.35
2023-09-20,49.34
2023-09-21,49.5
2023-09-22,51.2
2023-09-25,51.33
2023-09-26,50.06
2023-09-27,50.66
2023-09-28,51.15
2023-10-09,50.72
2023-10-10,50.83
2023-10-11,54.2
2023-10-12,53.69
2023-10-13,54.56
2023-10-16,53.1
2023-10-17,54.4
2023-10-18,54.57
2023-10-19,56.03
2023-10-20,57.1
2023-10-23,56.79
2023-10-24,55.05
2023-10-25,54.68
2023-10-26,54.89
2023-10-27,56.98
2023-10-30,58.3
2023-10-31,57.25
2023-11-01,58.21
2023-11-02,57.31
2023-11-03,57.86
2023-11-06,57.3
2023-11-07,57.55
2023-11-08,58.31
2023-11-09,57.0
2023-11-10,54.39
2023-11-13,54.24
2023-11-14,54.65
2023-11-15,54.32
2023-11-16,53.42
2023-11-17,53.7
2023-11-20,53.92
2023-11-21,53.61
2023-11-22,52.64
2023-11-23,53.38
2023-11-24,54.09
2023-11-27,54.61
2023-11-28,54.55
2023-11-29,53.7
2023-11-30,53.7
2023-12-01,54.15
2023-12-04,53.18
2023-12-05,52.39
2023-12-06,51.97
2023-12-07,52.67
2023-12-08,52.55
2023-12-11,53.18
2023-12-12,54.12
2023-12-13,53.75
2023-12-14,53.1
2023-12-15,53.6
2023-12-18,53.74
2023-12-19,54.76
2023-12-20,54.51
2023-12-21,54.57
2023-12-22,54.79
2023-12-25,53.01
2023-12-26,51.85
2023-12-27,51.91
2023-12-28,53.13
2023-12-29,53.02
2024-01-02,52.96
2024-01-03,52.48
2024-01-04,51.88
2024-01-05,50.58
2024-01-08,49.5
2024-01-09,48.45
2024-01-10,47.47
2024-01-11,47.6
2024-01-12,45.83
2024-01-15,45.67
2024-01-16,45.99
2024-01-17,44.69
2024-01-18,45.64
2024-01-19,45.86
2024-01-22,44.83
2024-01-23,44.72
2024-01-24,45.37
2024-01-25,47.26
2024-01-26,46.5
2024-01-29,45.35
2024-01-30,43.08
2024-01-31,43.29
2024-02-01,42.68
2024-02-02,42.13
2024-02-05,42.97
2024-02-06,44.97
2024-02-07,42.9
2024-02-08,44.0
2024-02-19,44.82
2024-02-20,44.45
2024-02-21,44.99
2024-02-22,45.14
2024-02-23,44.98
2024-02-26,44.92
2024-02-27,47.32
2024-02-28,45.56
2024-02-29,48.35
2024-03-01,48.51
2024-03-04,48.0
2024-03-05,48.0

Indicator data:
Answer: 0.0346
Question: 紫金矿业的VaR（历史模拟法），在2022年08月25日-2022年09月04日期间为多少？（1日VaR；损失用正数表示；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: VaR_c = -Q_{1-c}(r)；Q_p 为 p 分位数
Data:
date,close
2022-08-24,8.88
2022-08-25,9.13
2022-08-26,9.15
2022-08-29,9.02
2022-08-30,8.9
2022-08-31,8.8
2022-09-01,8.65
2022-09-02,8.52

Indicator data:
Answer: 0.0164
Question: 计算迈瑞医疗2021年08月27日至2021年09月09日的VaR（历史模拟法）。（1日VaR；损失用正数表示；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: VaR_c = -Q_{1-c}(r)；Q_p 为 p 分位数
Data:
date,close
2021-08-26,321.45
2021-08-27,323.25
2021-08-30,319.0
2021-08-31,328.0
2021-09-01,331.0
2021-09-02,324.66
2021-09-03,331.2
2021-09-06,356.65
2021-09-07,345.98
2021-09-08,333.0
2021-09-09,334.15

Indicator data:
Answer: 0.0341
Question: 双汇发展2025年01月13日至2025年08月28日的CVaR（参数法）的值是？（1日VaR；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: CVaR_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r)
Data:
date,close
2025-01-10,25.3
2025-01-13,24.9
2025-01-14,25.11
2025-01-15,25.01
2025-01-16,24.83
2025-01-17,25.24
2025-01-20,25.31
2025-01-21,25.42
2025-01-22,25.15
2025-01-23,25.01
2025-01-24,25.43
2025-01-27,26.36
2025-02-05,25.82
2025-02-06,25.12
2025-02-07,25.32
2025-02-10,25.05
2025-02-11,24.79
2025-02-12,25.01
2025-02-13,25.46
2025-02-14,25.78
2025-02-17,25.66
2025-02-18,25.93
2025-02-19,25.95
2025-02-20,26.12
2025-02-21,25.96
2025-02-24,26.35
2025-02-25,26.36
2025-02-26,26.79
2025-02-27,26.94
2025-02-28,26.88
2025-03-03,27.25
2025-03-04,27.06
2025-03-05,26.86
2025-03-06,26.63
2025-03-07,26.39
2025-03-10,26.75
2025-03-11,26.94
2025-03-12,26.51
2025-03-13,26.37
2025-03-14,26.52
2025-03-17,26.33
2025-03-18,25.97
2025-03-19,26.04
2025-03-20,25.92
2025-03-21,25.98
2025-03-24,25.98
2025-03-25,26.27
2025-03-26,26.19
2025-03-27,26.64
2025-03-28,26.82
2025-03-31,26.97
2025-04-01,27.4
2025-04-02,27.06
2025-04-03,27.4
2025-04-07,26.68
2025-04-08,27.25
2025-04-09,27.67
2025-04-10,27.55
2025-04-11,27.48
2025-04-14,27.49
2025-04-15,27.7
2025-04-16,27.96
2025-04-17,27.5
2025-04-18,27.22
2025-04-21,27.19
2025-04-22,27.16
2025-04-23,26.87
2025-04-24,27.09
2025-04-25,26.76
2025-04-28,26.86
2025-04-29,26.81
2025-04-30,24.98
2025-05-06,24.76
2025-05-07,24.79
2025-05-08,24.72
2025-05-09,24.76
2025-05-12,24.81
2025-05-13,25.0
2025-05-14,24.77
2025-05-15,24.66
2025-05-16,24.54
2025-05-19,24.66
2025-05-20,24.69
2025-05-21,24.8
2025-05-22,24.74
2025-05-23,24.58
2025-05-26,24.4
2025-05-27,24.28
2025-05-28,24.42
2025-05-29,24.35
2025-05-30,24.35
2025-06-03,24.53
2025-06-04,24.72
2025-06-05,24.61
2025-06-06,24.67
2025-06-09,24.69
2025-06-10,24.75
2025-06-11,24.9
2025-06-12,24.86
2025-06-13,24.64
2025-06-16,24.5
2025-06-17,24.5
2025-06-18,24.51
2025-06-19,24.45
2025-06-20,24.6
2025-06-23,24.13
2025-06-24,24.54
2025-06-25,24.53
2025-06-26,24.48
2025-06-27,24.46
2025-06-30,24.41
2025-07-01,24.49
2025-07-02,24.6
2025-07-03,24.53
2025-07-04,24.61
2025-07-07,24.59
2025-07-08,24.6
2025-07-09,24.62
2025-07-10,24.7
2025-07-11,24.86
2025-07-14,24.95
2025-07-15,24.86
2025-07-16,24.89
2025-07-17,24.95
2025-07-18,25.09
2025-07-21,25.32
2025-07-22,25.6
2025-07-23,25.43
2025-07-24,25.37
2025-07-25,25.06
2025-07-28,25.08
2025-07-29,24.99
2025-07-30,25.04
2025-07-31,24.68
2025-08-01,24.75
2025-08-04,24.74
2025-08-05,24.98
2025-08-06,24.95
2025-08-07,25.01
2025-08-08,25.04
2025-08-11,24.93
2025-08-12,24.88
2025-08-13,25.18
2025-08-14,25.21
2025-08-15,25.23
2025-08-18,25.13
2025-08-19,25.22
2025-08-20,25.4
2025-08-21,25.45
2025-08-22,24.73
2025-08-25,25.17
2025-08-26,25.11
2025-08-27,24.82
2025-08-28,24.75

Indicator data:
Answer: 0.0228
Question: 2024年06月22日到2024年07月27日，中国东航的CVaR（参数法）是多少？（1日VaR；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: CVaR_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r)
Data:
date,close
2024-06-21,3.94
2024-06-24,3.94
2024-06-25,3.9
2024-06-26,3.97
2024-06-27,3.98
2024-06-28,4.01
2024-07-01,4.04
2024-07-02,4.01
2024-07-03,3.99
2024-07-04,3.84
2024-07-05,3.82
2024-07-08,3.84
2024-07-09,3.84
2024-07-10,3.73
2024-07-11,3.93
2024-07-12,3.9
2024-07-15,3.89
2024-07-16,3.95
2024-07-17,3.99
2024-07-18,3.98
2024-07-19,4.03
2024-07-22,4.06
2024-07-23,3.99
2024-07-24,3.94
2024-07-25,3.94
2024-07-26,3.95

Indicator data:
Answer: 0.0347
Question: 浙能电力的CVaR（参数法），在2024年04月20日-2024年10月22日期间为多少？（1日VaR；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: CVaR_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r)
Data:
date,close
2024-04-19,6.47
2024-04-22,6.46
2024-04-23,6.23
2024-04-24,6.42
2024-04-25,6.43
2024-04-26,6.31
2024-04-29,6.19
2024-04-30,6.23
2024-05-06,6.36
2024-05-07,6.22
2024-05-08,6.14
2024-05-09,6.16
2024-05-10,6.29
2024-05-13,6.39
2024-05-14,6.59
2024-05-15,6.41
2024-05-16,6.2
2024-05-17,6.1
2024-05-20,6.22
2024-05-21,6.35
2024-05-22,6.26
2024-05-23,6.2
2024-05-24,6.52
2024-05-27,6.9
2024-05-28,6.81
2024-05-29,6.8
2024-05-30,6.6
2024-05-31,6.7
2024-06-03,6.74
2024-06-04,6.83
2024-06-05,6.83
2024-06-06,6.84
2024-06-07,6.9
2024-06-11,6.87
2024-06-12,6.96
2024-06-13,7.01
2024-06-14,6.88
2024-06-17,6.75
2024-06-18,6.83
2024-06-19,6.83
2024-06-20,6.94
2024-06-21,7.02
2024-06-24,7.05
2024-06-25,6.96
2024-06-26,6.89
2024-06-27,6.86
2024-06-28,7.11
2024-07-01,7.44
2024-07-02,7.5
2024-07-03,7.61
2024-07-04,7.62
2024-07-05,7.63
2024-07-08,7.78
2024-07-09,7.63
2024-07-10,7.53
2024-07-11,7.31
2024-07-12,7.28
2024-07-15,7.32
2024-07-16,7.29
2024-07-17,6.98
2024-07-18,7.09
2024-07-19,7.05
2024-07-22,6.77
2024-07-23,6.56
2024-07-24,6.77
2024-07-25,6.63
2024-07-26,6.66
2024-07-29,6.8
2024-07-30,6.62
2024-07-31,6.63
2024-08-01,6.64
2024-08-02,6.52
2024-08-05,6.4
2024-08-06,6.41
2024-08-07,6.53
2024-08-08,6.48
2024-08-09,6.45
2024-08-12,6.53
2024-08-13,6.5
2024-08-14,6.62
2024-08-15,6.7
2024-08-16,6.58
2024-08-19,6.7
2024-08-20,6.61
2024-08-21,6.54
2024-08-22,6.64
2024-08-23,6.58
2024-08-26,6.53
2024-08-27,6.52
2024-08-28,6.54
2024-08-29,6.42
2024-08-30,6.19
2024-09-02,6.29
2024-09-03,6.19
2024-09-04,6.11
2024-09-05,6.06
2024-09-06,6.02
2024-09-09,5.94
2024-09-10,5.91
2024-09-11,5.64
2024-09-12,5.66
2024-09-13,5.71
2024-09-18,5.69
2024-09-19,5.67
2024-09-20,5.68
2024-09-23,5.94
2024-09-24,6.27
2024-09-25,6.35
2024-09-26,6.29
2024-09-27,6.34
2024-09-30,6.73
2024-10-08,6.64
2024-10-09,6.21
2024-10-10,6.39
2024-10-11,6.39
2024-10-14,6.36
2024-10-15,6.14
2024-10-16,6.16
2024-10-17,6.13
2024-10-18,6.18
2024-10-21,6.12
2024-10-22,6.2

Indicator data:
Answer: 0.0444
Question: 对于2020年07月29日-2021年01月12日的CVaR（参数法），中国卫通的值是？（1日VaR；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: CVaR_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r)
Data:
date,close
2020-07-28,22.24
2020-07-29,22.91
2020-07-30,23.39
2020-07-31,23.07
2020-08-03,25.38
2020-08-04,24.86
2020-08-05,25.31
2020-08-06,26.0
2020-08-07,25.07
2020-08-10,25.19
2020-08-11,23.95
2020-08-12,22.84
2020-08-13,22.67
2020-08-14,23.23
2020-08-17,24.66
2020-08-18,24.66
2020-08-19,25.54
2020-08-20,23.63
2020-08-21,23.4
2020-08-24,23.66
2020-08-25,22.8
2020-08-26,22.33
2020-08-27,22.5
2020-08-28,23.1
2020-08-31,22.93
2020-09-01,23.06
2020-09-02,22.51
2020-09-03,22.2
2020-09-04,22.51
2020-09-07,21.86
2020-09-08,21.07
2020-09-09,20.43
2020-09-10,19.98
2020-09-11,20.11
2020-09-14,20.06
2020-09-15,20.24
2020-09-16,19.96
2020-09-17,19.95
2020-09-18,20.36
2020-09-21,20.78
2020-09-22,20.17
2020-09-23,19.84
2020-09-24,19.19
2020-09-25,19.43
2020-09-28,18.87
2020-09-29,19.38
2020-09-30,19.39
2020-10-09,19.65
2020-10-12,20.3
2020-10-13,19.99
2020-10-14,19.41
2020-10-15,19.36
2020-10-16,19.12
2020-10-19,19.67
2020-10-20,19.43
2020-10-21,19.15
2020-10-22,18.99
2020-10-23,18.98
2020-10-26,18.4
2020-10-27,18.15
2020-10-28,17.88
2020-10-29,17.77
2020-10-30,17.31
2020-11-02,16.76
2020-11-03,17.79
2020-11-04,17.71
2020-11-05,17.95
2020-11-06,17.78
2020-11-09,18.54
2020-11-10,18.21
2020-11-11,17.62
2020-11-12,17.4
2020-11-13,17.61
2020-11-16,17.75
2020-11-17,19.0
2020-11-18,19.0
2020-11-19,19.24
2020-11-20,19.01
2020-11-23,19.5
2020-11-24,18.97
2020-11-25,18.75
2020-11-26,19.09
2020-11-27,19.03
2020-11-30,19.39
2020-12-01,19.5
2020-12-02,20.06
2020-12-03,20.16
2020-12-04,20.0
2020-12-07,19.18
2020-12-08,18.93
2020-12-09,18.66
2020-12-10,18.33
2020-12-11,18.08
2020-12-14,18.58
2020-12-15,18.94
2020-12-16,18.46
2020-12-17,18.55
2020-12-18,18.39
2020-12-21,18.51
2020-12-22,17.61
2020-12-23,17.8
2020-12-24,18.25
2020-12-25,17.99
2020-12-28,17.7
2020-12-29,17.71
2020-12-30,17.72
2020-12-31,18.14
2021-01-04,19.24
2021-01-05,20.0
2021-01-06,19.3
2021-01-07,19.0
2021-01-08,18.8
2021-01-11,18.8
2021-01-12,19.4

Indicator data:
Answer: 0.0566
Question: 计算三一重工2025年04月08日至2025年05月31日的CVaR（参数法）。（1日VaR；正态假设；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: CVaR_c = \phi(\Phi^{-1}(c)) / (1 - c) * \sigma(r) - \mu(r)
Data:
date,close
2025-04-07,18.0
2025-04-08,18.55
2025-04-09,19.12
2025-04-10,19.1
2025-04-11,19.31
2025-04-14,18.89
2025-04-15,18.96
2025-04-16,19.1
2025-04-17,19.06
2025-04-18,19.19
2025-04-21,19.23
2025-04-22,18.95
2025-04-23,19.4
2025-04-24,19.05
2025-04-25,19.09
2025-04-28,19.05
2025-04-29,19.19
2025-04-30,18.89
2025-05-06,19.68
2025-05-07,19.69
2025-05-08,19.41
2025-05-09,19.72
2025-05-12,20.0
2025-05-13,19.92
2025-05-14,19.58
2025-05-15,19.2
2025-05-16,19.3
2025-05-19,19.18
2025-05-20,18.98
2025-05-21,19.01
2025-05-22,19.07
2025-05-23,18.91
2025-05-26,18.66
2025-05-27,18.41
2025-05-28,18.5
2025-05-29,18.75
2025-05-30,18.83

Indicator data:
Answer: 0.0296
Question: 工业富联2023年02月17日至2023年05月08日的CVaR（历史模拟法）的值是？（1日VaR；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: CVaR_c = -E[r | r \le Q_{1-c}(r)]
Data:
date,close
2023-02-16,9.89
2023-02-17,9.71
2023-02-20,9.91
2023-02-21,9.88
2023-02-22,9.75
2023-02-23,9.7
2023-02-24,9.62
2023-02-27,9.52
2023-02-28,9.6
2023-03-01,9.96
2023-03-02,10.34
2023-03-03,11.37
2023-03-06,11.06
2023-03-07,10.51
2023-03-08,10.57
2023-03-09,11.15
2023-03-10,10.85
2023-03-13,11.61
2023-03-14,11.76
2023-03-15,12.07
2023-03-16,12.35
2023-03-17,13.59
2023-03-20,14.88
2023-03-21,14.6
2023-03-22,16.06
2023-03-23,16.99
2023-03-24,17.66
2023-03-27,17.63
2023-03-28,16.45
2023-03-29,16.16
2023-03-30,16.88
2023-03-31,17.22
2023-04-03,17.76
2023-04-04,17.41
2023-04-06,19.0
2023-04-07,18.37
2023-04-10,17.47
2023-04-11,17.35
2023-04-12,18.42
2023-04-13,17.66
2023-04-14,18.07
2023-04-17,17.93
2023-04-18,19.19
2023-04-19,17.27
2023-04-20,19.0
2023-04-21,18.79
2023-04-24,18.33
2023-04-25,18.5
2023-04-26,16.65
2023-04-27,16.1
2023-04-28,16.12
2023-05-04,15.38
2023-05-05,14.77
2023-05-08,14.68

Indicator data:
Answer: 0.089
Question: 2025年09月25日到2025年11月03日，春秋航空的CVaR（历史模拟法）是多少？（1日VaR；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: CVaR_c = -E[r | r \le Q_{1-c}(r)]
Data:
date,close
2025-09-24,52.51
2025-09-25,52.65
2025-09-26,53.49
2025-09-29,53.6
2025-09-30,53.48
2025-10-09,53.31
2025-10-10,52.95
2025-10-13,52.01
2025-10-14,52.19
2025-10-15,53.68
2025-10-16,53.12
2025-10-17,53.71
2025-10-20,54.61
2025-10-21,54.83
2025-10-22,54.31
2025-10-23,54.18
2025-10-24,53.11
2025-10-27,52.73
2025-10-28,52.81
2025-10-29,52.89
2025-10-30,53.35
2025-10-31,53.58
2025-11-03,53.38

Indicator data:
Answer: 0.0188
Question: 德赛西威的CVaR（历史模拟法），在2021年12月20日-2022年07月05日期间为多少？（1日VaR；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: CVaR_c = -E[r | r \le Q_{1-c}(r)]
Data:
date,close
2021-12-17,137.74
2021-12-20,138.53
2021-12-21,152.38
2021-12-22,157.28
2021-12-23,161.58
2021-12-24,158.0
2021-12-27,146.33
2021-12-28,146.52
2021-12-29,142.0
2021-12-30,142.01
2021-12-31,141.51
2022-01-04,132.9
2022-01-05,130.38
2022-01-06,137.9
2022-01-07,133.45
2022-01-10,139.7
2022-01-11,137.0
2022-01-12,142.13
2022-01-13,145.82
2022-01-14,149.02
2022-01-17,151.22
2022-01-18,152.18
2022-01-19,149.49
2022-01-20,146.19
2022-01-21,145.81
2022-01-24,148.32
2022-01-25,141.0
2022-01-26,144.88
2022-01-27,140.8
2022-01-28,137.0
2022-02-07,137.74
2022-02-08,123.97
2022-02-09,121.0
2022-02-10,118.72
2022-02-11,115.1
2022-02-14,117.7
2022-02-15,124.93
2022-02-16,123.35
2022-02-17,126.82
2022-02-18,124.88
2022-02-21,123.72
2022-02-22,123.95
2022-02-23,132.6
2022-02-24,132.86
2022-02-25,131.76
2022-02-28,132.12
2022-03-01,130.11
2022-03-02,127.14
2022-03-03,121.02
2022-03-04,117.61
2022-03-07,112.34
2022-03-08,111.56
2022-03-09,118.0
2022-03-10,122.0
2022-03-11,120.2
2022-03-14,120.67
2022-03-15,120.2
2022-03-16,128.0
2022-03-17,127.14
2022-03-18,127.57
2022-03-21,128.01
2022-03-22,129.15
2022-03-23,126.98
2022-03-24,122.9
2022-03-25,120.2
2022-03-28,117.5
2022-03-29,119.2
2022-03-30,125.1
2022-03-31,126.62
2022-04-01,122.89
2022-04-06,114.2
2022-04-07,112.05
2022-04-08,110.22
2022-04-11,101.15
2022-04-12,98.69
2022-04-13,96.8
2022-04-14,100.4
2022-04-15,107.28
2022-04-18,114.86
2022-04-19,114.15
2022-04-20,113.44
2022-04-21,113.47
2022-04-22,111.12
2022-04-25,104.66
2022-04-26,102.14
2022-04-27,110.41
2022-04-28,112.37
2022-04-29,119.53
2022-05-05,125.39
2022-05-06,121.0
2022-05-09,112.5
2022-05-10,118.67
2022-05-11,126.22
2022-05-12,127.7
2022-05-13,128.98
2022-05-16,128.05
2022-05-17,130.0
2022-05-18,124.46
2022-05-19,129.0
2022-05-20,124.86
2022-05-23,131.0
2022-05-24,124.57
2022-05-25,121.97
2022-05-26,122.68
2022-05-27,121.88
2022-05-30,127.39
2022-05-31,126.85
2022-06-01,132.7
2022-06-02,138.0
2022-06-06,147.0
2022-06-07,146.0
2022-06-08,147.22
2022-06-09,141.6
2022-06-10,144.62
2022-06-13,146.5
2022-06-14,149.0
2022-06-15,143.86
2022-06-16,145.86
2022-06-17,148.39
2022-06-20,149.37
2022-06-21,146.44
2022-06-22,149.81
2022-06-23,153.96
2022-06-24,158.56
2022-06-27,162.0
2022-06-28,161.53
2022-06-29,151.37
2022-06-30,148.0
2022-07-01,149.79
2022-07-04,152.85
2022-07-05,147.11

Indicator data:
Answer: 0.0744
Question: 对于2021年12月11日-2022年04月02日的CVaR（历史模拟法），长电科技的值是？（1日VaR；默认95%置信度）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: CVaR_c = -E[r | r \le Q_{1-c}(r)]
Data:
date,close
2021-12-10,32.13
2021-12-13,32.18
2021-12-14,31.97
2021-12-15,31.74
2021-12-16,31.72
2021-12-17,31.16
2021-12-20,30.92
2021-12-21,31.27
2021-12-22,31.11
2021-12-23,30.62
2021-12-24,30.29
2021-12-27,30.49
2021-12-28,30.73
2021-12-29,30.46
2021-12-30,30.78
2021-12-31,31.02
2022-01-04,30.95
2022-01-05,30.45
2022-01-06,30.35
2022-01-07,30.32
2022-01-10,29.15
2022-01-11,28.6
2022-01-12,29.08
2022-01-13,28.92
2022-01-14,28.83
2022-01-17,29.1
2022-01-18,29.3
2022-01-19,28.78
2022-01-20,28.29
2022-01-21,28.18
2022-01-24,28.05
2022-01-25,27.9
2022-01-26,28.41
2022-01-27,27.24
2022-01-28,26.85
2022-02-07,27.21
2022-02-08,27.65
2022-02-09,27.93
2022-02-10,27.95
2022-02-11,27.79
2022-02-14,27.44
2022-02-15,27.89
2022-02-16,27.84
2022-02-17,27.61
2022-02-18,27.6
2022-02-21,27.85
2022-02-22,27.28
2022-02-23,28.45
2022-02-24,27.84
2022-02-25,28.1
2022-02-28,27.99
2022-03-01,28.08
2022-03-02,27.75
2022-03-03,27.51
2022-03-04,27.4
2022-03-07,26.16
2022-03-08,25.5
2022-03-09,25.67
2022-03-10,25.75
2022-03-11,25.88
2022-03-14,25.26
2022-03-15,23.7
2022-03-16,24.53
2022-03-17,25.42
2022-03-18,25.54
2022-03-21,25.82
2022-03-22,25.67
2022-03-23,25.76
2022-03-24,25.35
2022-03-25,25.27
2022-03-28,25.35
2022-03-29,24.91
2022-03-30,25.33
2022-03-31,24.58
2022-04-01,24.5

Indicator data:
Answer: 0.0467
Question: 洋河股份2021年12月17日至2022年01月16日, 对于加权移动平均的30日线和60日线，有多少次金叉？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j
Data:
date,close
2021-09-16,172.99
2021-09-17,177.0
2021-09-22,167.75
2021-09-23,164.51
2021-09-24,164.01
2021-09-27,172.67
2021-09-28,166.89
2021-09-29,165.79
2021-09-30,166.08
2021-10-08,178.23
2021-10-11,180.5
2021-10-12,182.1
2021-10-13,188.21
2021-10-14,186.05
2021-10-15,184.24
2021-10-18,171.6
2021-10-19,176.86
2021-10-20,179.66
2021-10-21,180.49
2021-10-22,182.5
2021-10-25,181.2
2021-10-26,180.44
2021-10-27,179.39
2021-10-28,186.15
2021-10-29,186.18
2021-11-01,186.1
2021-11-02,179.5
2021-11-03,174.94
2021-11-04,186.68
2021-11-05,185.5
2021-11-08,180.61
2021-11-09,179.2
2021-11-10,175.92
2021-11-11,177.0
2021-11-12,174.37
2021-11-15,175.14
2021-11-16,177.75
2021-11-17,175.8
2021-11-18,174.6
2021-11-19,175.08
2021-11-22,178.96
2021-11-23,173.47
2021-11-24,176.53
2021-11-25,175.1
2021-11-26,176.01
2021-11-29,175.85
2021-11-30,174.3
2021-12-01,173.57
2021-12-02,174.48
2021-12-03,176.91
2021-12-06,175.75
2021-12-07,172.2
2021-12-08,185.97
2021-12-09,186.4
2021-12-10,185.06
2021-12-13,188.7
2021-12-14,186.42
2021-12-15,181.6
2021-12-16,180.67
2021-12-17,174.81
2021-12-20,174.5
2021-12-21,174.3
2021-12-22,174.0
2021-12-23,174.08
2021-12-24,174.54
2021-12-27,171.56
2021-12-28,173.7
2021-12-29,168.4
2021-12-30,167.87
2021-12-31,164.73
2022-01-04,164.7
2022-01-05,166.65
2022-01-06,164.48
2022-01-07,164.68
2022-01-10,164.15
2022-01-11,161.3
2022-01-12,161.43
2022-01-13,156.8
2022-01-14,154.1

Indicator data:
date,30日,60日
2021-12-17,178.98034408602152,178.8660710382514
2021-12-20,178.75834408602148,178.7554480874317
2021-12-21,178.5365806451613,178.6374426229508
2021-12-22,178.30599999999998,178.5110765027322
2021-12-23,178.0847096774193,178.38391803278688
2021-12-24,177.89937634408602,178.26661202185792
2021-12-27,177.52141935483874,178.0458469945355
2021-12-28,177.2892258064516,177.89585245901642
2021-12-29,176.7238064516129,177.56836612021854
2021-12-30,176.14010752688176,177.22207650273222
2021-12-31,175.36830107526876,176.7718579234973
2022-01-04,174.61681720430107,176.32803278688525
2022-01-05,174.02180645161295,175.95677595628413
2022-01-06,173.30146236559142,175.52281420765024
2022-01-07,172.61993548387093,175.10837704918038
2022-01-10,171.926623655914,174.68824043715847
2022-01-11,171.07494623655916,174.18563934426228
2022-01-12,170.2629462365591,173.69292896174863
2022-01-13,169.17991397849462,173.05684699453553
2022-01-14,167.95875268817204,172.34473224043714

Answer: 0.0
Question: 山西汾酒从2021年05月02日到2021年06月06日，加权移动平均的60日线与30日线发生金叉多少次？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j
Data:
date,close
2021-02-01,377.2
2021-02-02,403.0
2021-02-03,404.04
2021-02-04,391.56
2021-02-05,396.0
2021-02-08,395.0
2021-02-09,403.22
2021-02-10,443.54
2021-02-18,456.0
2021-02-19,423.81
2021-02-22,381.43
2021-02-23,372.0
2021-02-24,346.55
2021-02-25,337.0
2021-02-26,313.1
2021-03-01,310.52
2021-03-02,308.82
2021-03-03,316.52
2021-03-04,301.72
2021-03-05,310.78
2021-03-08,279.7
2021-03-09,257.9
2021-03-10,283.69
2021-03-11,300.99
2021-03-12,312.8
2021-03-15,285.66
2021-03-16,302.03
2021-03-17,306.85
2021-03-18,322.11
2021-03-19,313.0
2021-03-22,315.8
2021-03-23,314.91
2021-03-24,318.0
2021-03-25,318.8
2021-03-26,335.56
2021-03-29,342.39
2021-03-30,342.35
2021-03-31,332.8
2021-04-01,342.88
2021-04-02,368.29
2021-04-06,368.1
2021-04-07,346.05
2021-04-08,365.0
2021-04-09,348.0
2021-04-12,350.7
2021-04-13,346.0
2021-04-14,353.02
2021-04-15,351.99
2021-04-16,351.0
2021-04-19,354.52
2021-04-20,359.15
2021-04-21,382.24
2021-04-22,388.0
2021-04-23,390.49
2021-04-26,391.48
2021-04-27,406.28
2021-04-28,429.05
2021-04-29,416.0
2021-04-30,410.25
2021-05-06,406.36
2021-05-07,401.22
2021-05-10,396.0
2021-05-11,407.79
2021-05-12,424.5
2021-05-13,425.06
2021-05-14,434.66
2021-05-17,443.27
2021-05-18,445.0
2021-05-19,438.67
2021-05-20,452.7
2021-05-21,448.0
2021-05-24,447.22
2021-05-25,458.65
2021-05-26,449.0
2021-05-27,443.5
2021-05-28,452.4
2021-05-31,462.87
2021-06-01,459.98
2021-06-02,454.5
2021-06-03,471.81
2021-06-04,479.2

Indicator data:
date,60日,30日
2021-05-06,355.30980874316936,377.1274408602151
2021-05-07,356.8787704918032,379.6890322580645
2021-05-10,358.2634590163934,381.73015053763436
2021-05-11,360.0385300546448,384.3575268817205
2021-05-12,362.3594207650273,387.869870967742
2021-05-13,364.6806721311475,391.19103225806447
2021-05-14,367.30079781420767,394.93907526881713
2021-05-17,370.18154644808743,399.04417204301075
2021-05-18,373.09713114754106,403.0438494623656
2021-05-19,375.80437704918035,406.3938494623656
2021-05-20,378.98109289617486,410.4430107526882
2021-05-21,381.9879234972678,414.00741935483865
2021-05-24,384.9328032786885,417.34967741935486
2021-05-25,388.2113333333334,421.2117849462366
2021-05-26,391.11221311475407,424.24991397849465
2021-05-27,393.77156284153006,426.716
2021-05-28,396.65145901639346,429.5567096774193
2021-05-31,399.7971038251365,432.8440860215054
2021-06-01,402.7638142076502,435.70877419354844
2021-06-02,405.47245901639343,437.98767741935484
2021-06-03,408.6651584699453,441.1607741935483
2021-06-04,412.01215846994535,444.5584086021505

Answer: 0.0
Question: 在2025年07月02日至2025年08月19日期间，南方航空的加权移动平均10日线和20日线共出现几次金叉？（权重取 1, 2, ..., n）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j
Data:
date,close
2025-06-05,5.96
2025-06-06,5.94
2025-06-09,5.97
2025-06-10,6.02
2025-06-11,6.04
2025-06-12,5.96
2025-06-13,5.81
2025-06-16,5.79
2025-06-17,5.82
2025-06-18,5.78
2025-06-19,5.74
2025-06-20,5.76
2025-06-23,5.75
2025-06-24,5.84
2025-06-25,5.89
2025-06-26,5.89
2025-06-27,5.9
2025-06-30,5.9
2025-07-01,5.86
2025-07-02,5.81
2025-07-03,5.76
2025-07-04,5.74
2025-07-07,5.73
2025-07-08,5.74
2025-07-09,5.75
2025-07-10,5.79
2025-07-11,5.8
2025-07-14,5.78
2025-07-15,5.67
2025-07-16,5.69
2025-07-17,5.69
2025-07-18,5.7
2025-07-21,5.73
2025-07-22,5.76
2025-07-23,5.84
2025-07-24,5.89
2025-07-25,5.86
2025-07-28,5.79
2025-07-29,5.79
2025-07-30,5.77
2025-07-31,5.67
2025-08-01,5.67
2025-08-04,5.69
2025-08-05,5.73
2025-08-06,5.72
2025-08-07,5.74
2025-08-08,5.72
2025-08-11,5.73
2025-08-12,5.74
2025-08-13,5.76
2025-08-14,5.76
2025-08-15,5.86
2025-08-18,5.87
2025-08-19,5.9

Indicator data:
date,10日,20日
2025-07-02,5.8545454545454545,5.849333333333333
2025-07-03,5.841090909090909,5.8387142857142855
2025-07-04,5.823636363636362,5.827142857142857
2025-07-07,5.8047272727272725,5.8155714285714275
2025-07-08,5.788,5.806095238095238
2025-07-09,5.774909090909091,5.798904761904762
2025-07-10,5.771636363636363,5.796904761904763
2025-07-11,5.772,5.796666666666668
2025-07-14,5.770545454545455,5.7945714285714285
2025-07-15,5.7512727272727275,5.782047619047619
2025-07-16,5.739090909090908,5.772142857142857
2025-07-17,5.7290909090909095,5.762666666666667
2025-07-18,5.722181818181818,5.754380952380953
2025-07-21,5.721454545454546,5.749238095238095
2025-07-22,5.72618181818182,5.7470476190476205
2025-07-23,5.745090909090909,5.752857142857143
2025-07-24,5.771454545454545,5.7636666666666665
2025-07-25,5.790545454545454,5.771619047619048
2025-07-28,5.7958181818181815,5.773095238095237
2025-07-29,5.80090909090909,5.775095238095238
2025-07-30,5.800181818181818,5.77552380952381
2025-07-31,5.7798181818181815,5.766619047619049
2025-08-01,5.759818181818182,5.7581428571428575
2025-08-04,5.743999999999999,5.751904761904762
2025-08-05,5.7361818181818185,5.749666666666666
2025-08-06,5.727090909090908,5.74652380952381
2025-08-07,5.723818181818183,5.7454285714285716
2025-08-08,5.719636363636364,5.742666666666667
2025-08-11,5.719818181818183,5.741238095238096
2025-08-12,5.7229090909090905,5.7410000000000005
2025-08-13,5.730545454545454,5.742333333333334
2025-08-14,5.738363636363637,5.743333333333334
2025-08-15,5.762727272727274,5.753523809523809
2025-08-18,5.785454545454545,5.763904761904761
2025-08-19,5.810363636363636,5.77647619047619

Answer: 2.0
Question: 在2021年09月20日至2021年10月18日期间，京东方A的赫尔移动平均5日线和20日线共出现几次死叉？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P))
Data:
date,close
2021-08-09,5.87
2021-08-10,5.89
2021-08-11,5.88
2021-08-12,5.87
2021-08-13,5.78
2021-08-16,5.78
2021-08-17,5.64
2021-08-18,5.67
2021-08-19,5.78
2021-08-20,5.7
2021-08-23,5.68
2021-08-24,5.61
2021-08-25,5.62
2021-08-26,5.58
2021-08-27,5.7
2021-08-30,5.8
2021-08-31,5.82
2021-09-01,5.78
2021-09-02,5.87
2021-09-03,5.82
2021-09-06,5.81
2021-09-07,5.8
2021-09-08,5.96
2021-09-09,5.92
2021-09-10,5.91
2021-09-13,5.82
2021-09-14,5.71
2021-09-15,5.66
2021-09-16,5.7
2021-09-17,5.61
2021-09-22,5.44
2021-09-23,5.41
2021-09-24,5.22
2021-09-27,5.28
2021-09-28,5.2
2021-09-29,5.03
2021-09-30,5.05
2021-10-08,5.31
2021-10-11,5.22
2021-10-12,5.23
2021-10-13,5.25
2021-10-14,5.2
2021-10-15,5.13
2021-10-18,5.09

Indicator data:
date,5日,20日
2021-09-08,5.897777777777777,5.8520095238095236
2021-09-09,5.971111111111111,5.88568961038961
2021-09-10,5.944000000000002,5.912981818181818
2021-09-13,5.854222222222224,5.922378787878787
2021-09-14,5.719111111111112,5.905165800865801
2021-09-15,5.621333333333333,5.867584415584416
2021-09-16,5.633777777777779,5.8241683982684
2021-09-17,5.623111111111112,5.773102597402597
2021-09-22,5.475333333333334,5.70326406926407
2021-09-23,5.354000000000002,5.621437662337664
2021-09-24,5.220888888888889,5.516263203463204
2021-09-27,5.180444444444445,5.413212121212121
2021-09-28,5.184888888888889,5.315515151515152
2021-09-29,5.059555555555556,5.213498701298701
2021-09-30,4.979111111111111,5.121181818181819
2021-10-08,5.175777777777777,5.069639393939395
2021-10-11,5.303999999999999,5.043532034632036
2021-10-12,5.270444444444444,5.0412082251082255
2021-10-13,5.251333333333332,5.056826406926407
2021-10-14,5.220444444444445,5.075728571428572
2021-10-15,5.144444444444445,5.09125367965368
2021-10-18,5.073777777777777,5.097812121212121

Answer: 2.0
Question: 2022年12月29日-2023年03月13日，中国核电的开盘价小于20日简单移动平均线的天数占比多少？（%）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i}
Data:
date,close,low,open
2022-12-02,6.24,6.21,6.23
2022-12-05,6.47,6.27,6.27
2022-12-06,6.42,6.34,6.46
2022-12-07,6.31,6.28,6.4
2022-12-08,6.31,6.26,6.3
2022-12-09,6.26,6.22,6.28
2022-12-12,6.18,6.16,6.25
2022-12-13,6.21,6.18,6.18
2022-12-14,6.19,6.17,6.24
2022-12-15,6.15,6.14,6.17
2022-12-16,6.19,6.13,6.15
2022-12-19,6.06,6.04,6.17
2022-12-20,6.05,6.01,6.04
2022-12-21,6.03,6.01,6.06
2022-12-22,5.96,5.94,6.05
2022-12-23,5.96,5.92,5.93
2022-12-26,5.97,5.94,5.96
2022-12-27,6.0,5.98,5.99
2022-12-28,6.05,5.97,5.99
2022-12-29,5.99,5.97,6.03
2022-12-30,6.0,5.98,6.0
2023-01-03,6.09,5.99,6.01
2023-01-04,6.07,6.06,6.08
2023-01-05,6.04,6.03,6.07
2023-01-06,6.06,6.04,6.05
2023-01-09,6.06,6.05,6.07
2023-01-10,5.98,5.96,6.05
2023-01-11,5.97,5.95,6.0
2023-01-12,5.98,5.96,5.96
2023-01-13,5.99,5.93,5.98
2023-01-16,6.0,5.97,5.98
2023-01-17,5.97,5.95,6.0
2023-01-18,5.98,5.96,5.96
2023-01-19,6.0,5.95,5.97
2023-01-20,6.02,5.96,5.98
2023-01-30,6.03,6.0,6.05
2023-01-31,6.04,6.01,6.02
2023-02-01,6.09,6.03,6.05
2023-02-02,6.05,6.04,6.09
2023-02-03,6.01,5.99,6.05
2023-02-06,6.0,5.98,5.99
2023-02-07,6.01,5.98,6.0
2023-02-08,5.98,5.98,6.01
2023-02-09,6.01,5.98,5.98
2023-02-10,6.02,5.98,6.0
2023-02-13,6.01,6.0,6.02
2023-02-14,6.03,6.01,6.02
2023-02-15,5.99,5.99,6.02
2023-02-16,5.95,5.93,5.99
2023-02-17,5.94,5.93,5.95
2023-02-20,6.0,5.93,5.94
2023-02-21,6.05,5.99,6.0
2023-02-22,6.03,6.01,6.03
2023-02-23,6.01,5.99,6.04
2023-02-24,5.99,5.98,6.02
2023-02-27,6.02,5.98,5.99
2023-02-28,6.06,6.02,6.05
2023-03-01,6.22,6.05,6.06
2023-03-02,6.42,6.21,6.24
2023-03-03,6.52,6.37,6.42
2023-03-06,6.52,6.5,6.55
2023-03-07,6.49,6.48,6.49
2023-03-08,6.56,6.43,6.45
2023-03-09,6.52,6.47,6.57
2023-03-10,6.49,6.44,6.48
2023-03-13,6.62,6.45,6.48

Indicator data:
date,20日,open
2022-12-29,6.15,6.03
2022-12-30,6.138,6.0
2023-01-03,6.119000000000001,6.01
2023-01-04,6.1015,6.08
2023-01-05,6.088,6.07
2023-01-06,6.0755,6.05
2023-01-09,6.065499999999999,6.07
2023-01-10,6.0555,6.05
2023-01-11,6.0435,6.0
2023-01-12,6.0329999999999995,5.96
2023-01-13,6.025,5.98
2023-01-16,6.0155,5.98
2023-01-17,6.011,6.0
2023-01-18,6.007499999999999,5.96
2023-01-19,6.006,5.97
2023-01-20,6.0089999999999995,5.98
2023-01-30,6.0125,6.05
2023-01-31,6.016,6.02
2023-02-01,6.0205,6.05
2023-02-02,6.0205,6.09
2023-02-03,6.0215,6.05
2023-02-06,6.0215,5.99
2023-02-07,6.0175,6.0
2023-02-08,6.013,6.01
2023-02-09,6.0115,5.98
2023-02-10,6.0095,6.0
2023-02-13,6.007,6.02
2023-02-14,6.0095,6.02
2023-02-15,6.0105,6.02
2023-02-16,6.0089999999999995,5.99
2023-02-17,6.006500000000001,5.95
2023-02-20,6.006500000000001,5.94
2023-02-21,6.0105,6.0
2023-02-22,6.013,6.03
2023-02-23,6.0135,6.04
2023-02-24,6.0120000000000005,6.02
2023-02-27,6.0115,5.99
2023-02-28,6.0125,6.05
2023-03-01,6.019,6.06
2023-03-02,6.0375,6.24
2023-03-03,6.063000000000001,6.42
2023-03-06,6.089,6.55
2023-03-07,6.113,6.49
2023-03-08,6.1419999999999995,6.45
2023-03-09,6.1675,6.57
2023-03-10,6.191,6.48
2023-03-13,6.221500000000001,6.48

Answer: 46.8085
Question: 在2025年09月30日至2025年11月13日期间，对于长城汽车的双指数移动平均线，收盘价大于5日线的天数占总天数的百分比？（平滑系数 alpha 取 2 / (n + 1)；从前 5n 个数据开始计算；初始值用首个数据点）使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: DEMA = 2 * EMA1 - EMA2；EMA1 = EMA_n(P)；EMA2 = EMA_n(EMA1)
Data:
date,close,high
2025-08-26,26.2,26.36
2025-08-27,25.16,26.13
2025-08-28,25.51,25.67
2025-08-29,25.85,25.96
2025-09-01,26.08,26.39
2025-09-02,26.28,26.87
2025-09-03,25.98,26.54
2025-09-04,25.71,26.09
2025-09-05,26.07,26.12
2025-09-08,25.95,26.31
2025-09-09,26.19,26.34
2025-09-10,25.74,26.29
2025-09-11,25.61,25.73
2025-09-12,25.13,25.74
2025-09-15,25.09,25.48
2025-09-16,25.05,25.2
2025-09-17,25.35,25.49
2025-09-18,24.99,25.61
2025-09-19,24.94,25.15
2025-09-22,24.66,25.02
2025-09-23,24.5,24.88
2025-09-24,24.5,24.66
2025-09-25,24.4,24.64
2025-09-26,24.22,24.93
2025-09-29,24.4,24.48
2025-09-30,24.6,24.8
2025-10-09,24.75,24.77
2025-10-10,24.58,24.97
2025-10-13,23.84,24.14
2025-10-14,23.44,24.09
2025-10-15,23.63,23.64
2025-10-16,23.62,24.14
2025-10-17,22.85,23.6
2025-10-20,22.98,23.1
2025-10-21,23.17,23.17
2025-10-22,22.84,23.18
2025-10-23,23.21,23.22
2025-10-24,23.19,23.27
2025-10-27,22.91,23.1
2025-10-28,22.9,23.05
2025-10-29,22.77,22.86
2025-10-30,22.71,22.99
2025-10-31,22.79,22.91
2025-11-03,22.69,22.92
2025-11-04,22.47,22.72
2025-11-05,22.45,22.5
2025-11-06,22.81,22.9
2025-11-07,22.78,23.0
2025-11-10,23.73,23.81
2025-11-11,23.39,23.77
2025-11-12,22.97,23.37
2025-11-13,23.09,23.15

Indicator data:
date,5日,close
2025-09-05,25.976516283086927,26.07
2025-09-08,25.96560195769615,25.95
2025-09-09,26.092350928889566,26.19
2025-09-10,25.909533701765575,25.74
2025-09-11,25.737222300625405,25.61
2025-09-12,25.379836977826955,25.13
2025-09-15,25.17101717015798,25.09
2025-09-16,25.046984236731998,25.05
2025-09-17,25.158860240016892,25.35
2025-09-18,25.029820659252742,24.99
2025-09-19,24.94026743899615,24.94
2025-09-22,24.74488073677142,24.66
2025-09-23,24.559722120585835,24.5
2025-09-24,24.470793611104927,24.5
2025-09-25,24.37895942787953,24.4
2025-09-26,24.24048207668163,24.22
2025-09-29,24.276660800962382,24.4
2025-09-30,24.417555700535786,24.6
2025-10-09,24.58378057806443,24.75
2025-10-10,24.58168268162556,24.58
2025-10-13,24.16945220747211,23.84
2025-10-14,23.72741064035145,23.44
2025-10-15,23.604568761592105,23.63
2025-10-16,23.54724250863328,23.62
2025-10-17,23.102070561914545,22.85
2025-10-20,22.94843074538238,22.98
2025-10-21,22.989209632992264,23.17
2025-10-22,22.844088068264185,22.84
2025-10-23,22.984690920800126,23.21
2025-10-24,23.06110430850498,23.19
2025-10-27,22.95383200209547,22.91
2025-10-28,22.89572964345841,22.9
2025-10-29,22.798158634791008,22.77
2025-10-30,22.718331671517603,22.71
2025-10-31,22.726371724338577,22.79
2025-11-03,22.68145933399917,22.69
2025-11-04,22.54022501229286,22.47
2025-11-05,22.45854031239085,22.45
2025-11-06,22.6212870777243,22.81
2025-11-07,22.69792040923647,22.78
2025-11-10,23.268877399993386,23.73
2025-11-11,23.3849830181083,23.39
2025-11-12,23.203809624147343,22.97
2025-11-13,23.16397593525943,23.09

Answer: 50.0
Question: 中科曙光2021年10月03日至2021年11月01日, 价格突破5日简单移动平均线有多少次？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i}
Data:
date,close,low,open
2021-09-27,27.82,27.6,27.77
2021-09-28,27.3,27.09,27.7
2021-09-29,26.61,26.52,27.23
2021-09-30,26.82,26.6,26.6
2021-10-08,27.38,27.0,27.1
2021-10-11,27.68,27.42,27.42
2021-10-12,27.57,27.27,27.69
2021-10-13,27.67,27.3,27.68
2021-10-14,27.68,27.53,27.67
2021-10-15,28.19,27.8,27.8
2021-10-18,27.91,27.76,28.19
2021-10-19,27.84,27.79,27.92
2021-10-20,27.06,26.83,28.15
2021-10-21,27.5,26.86,26.86
2021-10-22,27.85,27.31,27.33
2021-10-25,27.87,27.53,27.85
2021-10-26,28.11,27.69,27.87
2021-10-27,27.3,26.99,28.15
2021-10-28,27.19,27.0,27.3
2021-10-29,27.47,27.11,27.25
2021-11-01,27.88,27.23,27.32

Indicator data:
date,5日,close
2021-10-08,27.186,27.38
2021-10-11,27.158000000000005,27.68
2021-10-12,27.212,27.57
2021-10-13,27.424,27.67
2021-10-14,27.596000000000004,27.68
2021-10-15,27.758000000000003,28.19
2021-10-18,27.804000000000002,27.91
2021-10-19,27.858000000000004,27.84
2021-10-20,27.736,27.06
2021-10-21,27.7,27.5
2021-10-22,27.631999999999998,27.85
2021-10-25,27.624000000000002,27.87
2021-10-26,27.678000000000004,28.11
2021-10-27,27.726,27.3
2021-10-28,27.663999999999998,27.19
2021-10-29,27.588,27.47
2021-11-01,27.589999999999996,27.88

Answer: 2.0
Question: 2024年04月04日至2024年04月16日，宁沪高速股价突破10日简单移动平均线的次数是多少？使用不复权价格，写出指标公式，搜集原始数据，计算得出答案，保留四位小数。注意列出原始数据和关键计算过程。
Formula: SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i}
Data:
date,close,low,open
2024-03-22,11.4,11.35,11.48
2024-03-25,11.64,11.36,11.4
2024-03-26,11.78,11.61,11.65
2024-03-27,11.75,11.68,11.76
2024-03-28,11.77,11.68,11.75
2024-03-29,11.64,11.41,11.64
2024-04-01,11.3,11.23,11.56
2024-04-02,11.29,11.25,11.28
2024-04-03,11.22,11.16,11.33
2024-04-08,11.33,11.15,11.19
2024-04-09,11.33,11.27,11.31
2024-04-10,11.53,11.33,11.34
2024-04-11,11.79,11.45,11.49
2024-04-12,11.69,11.61,11.75
2024-04-15,12.05,11.73,11.75
2024-04-16,12.01,11.9,12.09

Indicator data:
date,10日,close
2024-04-08,11.512,11.33
2024-04-09,11.504999999999999,11.33
2024-04-10,11.494,11.53
2024-04-11,11.495,11.79
2024-04-12,11.488999999999999,11.69
2024-04-15,11.517,12.05
2024-04-16,11.553999999999998,12.01

Answer: 1.0
Question: What is the Gross Margin of Roper Technologies in 2016? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.
Formula: (Revenue - COGS) / Revenue * 100%
Data:
year,Revenue,CostOfGoodsAndServicesSold
2016,3789925000.0,1457515000.0

Indicator data:
Answer: 61.5424
Question: What was Schlumberger's Gross Margin in 2016? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.
Formula: (Revenue - COGS) / Revenue * 100%
Data:
year,Revenue,CostOfGoodsAndServicesSold
2016,27810000000.0,17876000000.0

Indicator data:
Answer: 35.721
Question: In 2020, what was the Gross Margin reported by Cencora? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.
Formula: (Revenue - COGS) / Revenue * 100%
Data:
year,Revenue,CostOfGoodsAndServicesSold
2020,189893926000.0,184702042000.0

Indicator data:
Answer: 2.7341
Question: For Phillips 66, what is the value of Gross Margin in 2023? (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.
Formula: (Revenue - COGS) / Revenue * 100%
Data:
year,Revenue,CostOfGoodsAndServicesSold
2023,147399000000.0,128086000000.0

Indicator data:
Answer: 13.1025
Question: Calculate the Gross Margin for Altria in 2020. (Unit: %) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.
Formula: (Revenue - COGS) / Revenue * 100%
Data:
year,Revenue,CostOfGoodsAndServicesSold
2020,26153000000.0,7818000000.0

Indicator data:
Answer: 70.1067
Question: What is the EBIT Margin of Marsh McLennan in 2016? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.
Formula: EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%
Data:
year,Revenue,PretaxIncomeLoss,InterestExpense
2016,13211000000.0,2480000000.0,189000000.0

Indicator data:
Answer: 20.2029
Question: What was Hershey Company (The)'s EBIT Margin in 2020? (Unit: %; Use the sum of Pretax Income and Interest Expense as EBIT) According to US GAAP, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw data and key calculation process.
Formula: EBIT / Revenue * 100% = (Pretax Income + Interest Expense) / Revenue * 100%
Data:
year,Revenue,PretaxIncomeLoss,InterestExpense
2020,8149719000.0,1494997000.0,150930000.0

Indicator data:
Answer: 20.1961