OpenFinArena/FinDeepIndicator huggingface dataset:
Question: What is the value of Kaufman Adaptive Moving Average for Netflix on August 13, 2020? (ER period 10, fast period 2, slow period 30; Require 60 data points to warm up) Using unadjusted prices, 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: ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|; SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2; KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1})
Data:
date,close
2020-05-19,45.104000091552734
2020-05-20,44.766998291015625
2020-05-21,43.625
2020-05-22,42.93199920654297
2020-05-26,41.47700119018555
2020-05-27,41.98899841308594
2020-05-28,41.34400177001953
2020-05-29,41.97299957275391
2020-06-01,42.59199905395508
2020-06-02,42.73099899291992
2020-06-03,42.196998596191406
2020-06-04,41.43299865722656
2020-06-05,41.959999084472656
2020-06-08,41.94900131225586
2020-06-09,43.40499877929688
2020-06-10,43.448001861572266
2020-06-11,42.555999755859375
2020-06-12,41.80699920654297
2020-06-15,42.54999923706055
2020-06-16,43.61299896240234
2020-06-17,44.777000427246094
2020-06-18,44.98699951171875
2020-06-19,45.37200164794922
2020-06-22,46.80400085449219
2020-06-23,46.6259994506836
2020-06-24,45.78499984741211
2020-06-25,46.59099960327149
2020-06-26,44.34000015258789
2020-06-29,44.7239990234375
2020-06-30,45.50400161743164
2020-07-01,48.56399917602539
2020-07-02,47.68899917602539
2020-07-06,49.38100051879883
2020-07-07,49.31600189208984
2020-07-08,50.27799987792969
2020-07-09,50.7760009765625
2020-07-10,54.87300109863281
2020-07-13,52.54999923706055
2020-07-14,52.48799896240234
2020-07-15,52.32600021362305
2020-07-16,52.73899841308594
2020-07-17,49.29899978637695
2020-07-20,50.24100112915039
2020-07-21,49.0099983215332
2020-07-22,48.98199844360352
2020-07-23,47.757999420166016
2020-07-24,48.04499816894531
2020-07-27,49.56499862670898
2020-07-28,48.85100173950195
2020-07-29,48.448001861572266
2020-07-30,48.58000183105469
2020-07-31,48.88800048828125
2020-08-03,49.86199951171875
2020-08-04,50.9640007019043
2020-08-05,50.21099853515625
2020-08-06,50.90800094604492
2020-08-07,49.47299957275391
2020-08-10,48.3380012512207
2020-08-11,46.69300079345703
2020-08-12,47.547000885009766
2020-08-13,48.132999420166016

Indicator data:
Answer: 49.3108
Question: On August 21, 2025, what is the Kaufman Adaptive Moving Average value for Lowe's? (ER period 10, fast period 2, slow period 30; Require 60 data points to warm up) Using unadjusted prices, 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: ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|; SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2; KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1})
Data:
date,close
2025-05-27,225.80999755859372
2025-05-28,224.5200042724609
2025-05-29,224.92999267578125
2025-05-30,225.72999572753903
2025-06-02,225.5200042724609
2025-06-03,228.8000030517578
2025-06-04,228.38999938964844
2025-06-05,227.58999633789065
2025-06-06,225.2700042724609
2025-06-09,223.6100006103516
2025-06-10,224.88999938964844
2025-06-11,221.6000061035156
2025-06-12,223.5
2025-06-13,217.2700042724609
2025-06-16,216.0800018310547
2025-06-17,211.9199981689453
2025-06-18,210.8300018310547
2025-06-20,212.75
2025-06-23,218.57000732421875
2025-06-24,219.97999572753903
2025-06-25,220.6999969482422
2025-06-26,221.22999572753903
2025-06-27,223.6300048828125
2025-06-30,221.8699951171875
2025-07-01,228.63999938964844
2025-07-02,226.94000244140625
2025-07-03,228.30999755859372
2025-07-07,224.9900054931641
2025-07-08,223.6699981689453
2025-07-09,225.57000732421875
2025-07-10,227.91000366210935
2025-07-11,224.1300048828125
2025-07-14,222.3999938964844
2025-07-15,215.00999450683597
2025-07-16,216.6000061035156
2025-07-17,218.5800018310547
2025-07-18,219.16000366210935
2025-07-21,220.91000366210935
2025-07-22,226.8300018310547
2025-07-23,228.6100006103516
2025-07-24,225.55999755859372
2025-07-25,226.8000030517578
2025-07-28,229.9900054931641
2025-07-29,230.0399932861328
2025-07-30,227.42999267578125
2025-07-31,223.57000732421875
2025-08-01,226.3999938964844
2025-08-04,233.80999755859372
2025-08-05,237.4600067138672
2025-08-06,238.2899932861328
2025-08-07,238.55999755859372
2025-08-08,241.1499938964844
2025-08-11,239.8500061035156
2025-08-12,244.8699951171875
2025-08-13,256.3299865722656
2025-08-14,253.0500030517578
2025-08-15,252.05999755859372
2025-08-18,250.88999938964844
2025-08-19,256.3599853515625
2025-08-20,257.1400146484375
2025-08-21,255.6499938964844

Indicator data:
Answer: 250.295
Question: What was Rollins's Kaufman Adaptive Moving Average on June 21, 2021? (ER period 10, fast period 2, slow period 30; Require 60 data points to warm up) Using unadjusted prices, 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: ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|; SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2; KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1})
Data:
date,close
2021-03-25,33.90999984741211
2021-03-26,34.189998626708984
2021-03-29,34.18000030517578
2021-03-30,33.91999816894531
2021-03-31,34.41999816894531
2021-04-01,34.83000183105469
2021-04-05,35.38999938964844
2021-04-06,35.290000915527344
2021-04-07,34.47999954223633
2021-04-08,34.959999084472656
2021-04-09,35.43000030517578
2021-04-12,35.619998931884766
2021-04-13,34.90999984741211
2021-04-14,34.70000076293945
2021-04-15,35.22999954223633
2021-04-16,35.27000045776367
2021-04-19,34.810001373291016
2021-04-20,35.18000030517578
2021-04-21,35.18000030517578
2021-04-22,35.290000915527344
2021-04-23,35.79999923706055
2021-04-26,35.90999984741211
2021-04-27,35.91999816894531
2021-04-28,36.40999984741211
2021-04-29,37.36000061035156
2021-04-30,37.27999877929688
2021-05-03,37.75
2021-05-04,37.61000061035156
2021-05-05,37.09999847412109
2021-05-06,36.970001220703125
2021-05-07,37.119998931884766
2021-05-10,37.220001220703125
2021-05-11,36.95000076293945
2021-05-12,35.75
2021-05-13,36.34000015258789
2021-05-14,36.91999816894531
2021-05-17,36.09999847412109
2021-05-18,35.400001525878906
2021-05-19,34.939998626708984
2021-05-20,35.060001373291016
2021-05-21,35.04999923706055
2021-05-24,34.400001525878906
2021-05-25,34.029998779296875
2021-05-26,33.86000061035156
2021-05-27,33.86000061035156
2021-05-28,34.09000015258789
2021-06-01,33.7599983215332
2021-06-02,33.91999816894531
2021-06-03,33.09000015258789
2021-06-04,33.189998626708984
2021-06-07,32.79999923706055
2021-06-08,33.119998931884766
2021-06-09,33.04999923706055
2021-06-10,33.189998626708984
2021-06-11,33.31999969482422
2021-06-14,33.63999938964844
2021-06-15,33.790000915527344
2021-06-16,33.16999816894531
2021-06-17,33.369998931884766
2021-06-18,33.09000015258789
2021-06-21,33.72999954223633

Indicator data:
Answer: 33.5434
Question: For Kaufman Adaptive Moving Average, what is the value of News Corp (Class B) on March 08, 2024? (ER period 10, fast period 2, slow period 30; Require 60 data points to warm up) Using unadjusted prices, 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: ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|; SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2; KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1})
Data:
date,close
2023-12-11,23.100000381469727
2023-12-12,23.040000915527344
2023-12-13,23.780000686645508
2023-12-14,24.420000076293945
2023-12-15,24.530000686645508
2023-12-18,24.450000762939453
2023-12-19,24.850000381469727
2023-12-20,24.46999931335449
2023-12-21,24.809999465942383
2023-12-22,24.940000534057617
2023-12-26,25.299999237060547
2023-12-27,25.61000061035156
2023-12-28,25.81999969482422
2023-12-29,25.71999931335449
2024-01-02,25.61000061035156
2024-01-03,25.479999542236328
2024-01-04,25.3799991607666
2024-01-05,25.57999992370605
2024-01-08,25.790000915527344
2024-01-09,25.3700008392334
2024-01-10,25.31999969482422
2024-01-11,25.3700008392334
2024-01-12,25.34000015258789
2024-01-16,24.799999237060547
2024-01-17,24.51000022888184
2024-01-18,24.59000015258789
2024-01-19,25.01000022888184
2024-01-22,25.200000762939453
2024-01-23,25.290000915527344
2024-01-24,25.6299991607666
2024-01-25,25.68000030517578
2024-01-26,25.75
2024-01-29,26.149999618530277
2024-01-30,25.790000915527344
2024-01-31,25.56999969482422
2024-02-01,25.700000762939453
2024-02-02,25.700000762939453
2024-02-05,25.18000030517578
2024-02-06,25.700000762939453
2024-02-07,25.299999237060547
2024-02-08,27.01000022888184
2024-02-09,27.209999084472656
2024-02-12,27.25
2024-02-13,26.950000762939453
2024-02-14,27.209999084472656
2024-02-15,27.670000076293945
2024-02-16,27.40999984741211
2024-02-20,27.399999618530277
2024-02-21,27.229999542236328
2024-02-22,27.6299991607666
2024-02-23,27.57999992370605
2024-02-26,27.520000457763672
2024-02-27,27.56999969482422
2024-02-28,27.479999542236328
2024-02-29,27.989999771118164
2024-03-01,27.399999618530277
2024-03-04,27.040000915527344
2024-03-05,26.920000076293945
2024-03-06,27.09000015258789
2024-03-07,27.209999084472656
2024-03-08,27.350000381469727

Indicator data:
Answer: 26.9405
Question: Calculate the Kaufman Adaptive Moving Average value for Williams Companies on February 14, 2020. (ER period 10, fast period 2, slow period 30; Require 60 data points to warm up) Using unadjusted prices, 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: ER_t = |C_t - C_{t-n_{er}}| / \sum_{i=0}^{n_{er}-1} |C_{t-i} - C_{t-i-1}|; SC_t = (ER_t * (2/(n_{fast}+1) - 2/(n_{slow}+1)) + 2/(n_{slow}+1))^2; KAMA_t = KAMA_{t-1} + SC_t * (C_t - KAMA_{t-1})
Data:
date,close
2019-11-18,22.299999237060547
2019-11-19,22.13999938964844
2019-11-20,22.3799991607666
2019-11-21,22.790000915527344
2019-11-22,23.100000381469727
2019-11-25,23.09000015258789
2019-11-26,22.8700008392334
2019-11-27,22.709999084472656
2019-11-29,22.71999931335449
2019-12-02,22.549999237060547
2019-12-03,22.200000762939453
2019-12-04,22.1299991607666
2019-12-05,22.190000534057617
2019-12-06,22.38999938964844
2019-12-09,22.899999618530277
2019-12-10,22.940000534057617
2019-12-11,23.190000534057617
2019-12-12,22.649999618530277
2019-12-13,22.709999084472656
2019-12-16,22.81999969482422
2019-12-17,22.940000534057617
2019-12-18,23.07999992370605
2019-12-19,23.5
2019-12-20,23.799999237060547
2019-12-23,23.940000534057617
2019-12-24,23.84000015258789
2019-12-26,23.809999465942383
2019-12-27,23.59000015258789
2019-12-30,23.200000762939453
2019-12-31,23.71999931335449
2020-01-02,23.489999771118164
2020-01-03,23.59000015258789
2020-01-06,23.899999618530277
2020-01-07,23.899999618530277
2020-01-08,23.530000686645508
2020-01-09,23.670000076293945
2020-01-10,23.5
2020-01-13,23.780000686645508
2020-01-14,23.84000015258789
2020-01-15,23.809999465942383
2020-01-16,24.040000915527344
2020-01-17,23.86000061035156
2020-01-21,23.01000022888184
2020-01-22,22.63999938964844
2020-01-23,22.440000534057617
2020-01-24,22.190000534057617
2020-01-27,21.61000061035156
2020-01-28,21.63999938964844
2020-01-29,21.15999984741211
2020-01-30,21.270000457763672
2020-01-31,20.690000534057617
2020-02-03,21.1200008392334
2020-02-04,21.479999542236328
2020-02-05,21.649999618530277
2020-02-06,21.440000534057617
2020-02-07,21.059999465942383
2020-02-10,21.43000030517578
2020-02-11,21.46999931335449
2020-02-12,21.549999237060547
2020-02-13,21.6200008392334
2020-02-14,21.540000915527344

Indicator data:
Answer: 21.3724
Question: What is the value of Parabolic SAR for McKesson Corporation on October 29, 2021? (Initial AF 0.02, step 0.02, max 0.20; Require 10 data points to warm up) Using unadjusted prices, 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: SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1}); EP is the extreme point of the current trend (high for long, low for short); AF starts at initial_af, accelerates by step_af each new extreme until max_af; on reversal SAR resets to the prior trend EP and AF resets to initial_af
Data:
date,high,low,close
2021-10-15,205.5800018310547,203.0,204.1699981689453
2021-10-18,203.75,200.7400054931641,200.8000030517578
2021-10-19,203.72999572753903,201.58999633789065,202.58999633789065
2021-10-20,207.42999267578125,202.8000030517578,206.08999633789065
2021-10-21,207.25,204.72000122070312,207.19000244140625
2021-10-22,209.30999755859372,206.8500061035156,209.08999633789065
2021-10-25,210.1699981689453,207.27999877929688,207.4499969482422
2021-10-26,209.1499938964844,206.0,207.97000122070312
2021-10-27,208.4199981689453,202.6100006103516,203.02999877929688
2021-10-28,206.05999755859372,203.32000732421875,205.0200042724609
2021-10-29,208.6000061035156,203.33999633789065,207.8800048828125

Indicator data:
Answer: 202.61
Question: On August 09, 2023, what is the Parabolic SAR value for NVR? (Initial AF 0.02, step 0.02, max 0.20; Require 10 data points to warm up) Using unadjusted prices, 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: SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1}); EP is the extreme point of the current trend (high for long, low for short); AF starts at initial_af, accelerates by step_af each new extreme until max_af; on reversal SAR resets to the prior trend EP and AF resets to initial_af
Data:
date,high,low,close
2023-07-26,6443.89990234375,6340.5,6382.97998046875
2023-07-27,6389.0,6265.2099609375,6301.7099609375
2023-07-28,6374.97998046875,6300.0,6343.330078125
2023-07-31,6369.72021484375,6262.72998046875,6306.43994140625
2023-08-01,6350.0,6283.0,6324.0
2023-08-02,6326.9501953125,6200.0,6303.83984375
2023-08-03,6290.0,6180.0,6248.02001953125
2023-08-04,6339.0,6246.77978515625,6320.97021484375
2023-08-07,6391.419921875,6305.0,6387.740234375
2023-08-08,6369.93994140625,6276.66015625,6348.759765625
2023-08-09,6350.0,6251.81982421875,6261.60986328125

Indicator data:
Answer: 6391.4199
Question: What was Domino's's Parabolic SAR on July 16, 2020? (Initial AF 0.02, step 0.02, max 0.20; Require 10 data points to warm up) Using unadjusted prices, 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: SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1}); EP is the extreme point of the current trend (high for long, low for short); AF starts at initial_af, accelerates by step_af each new extreme until max_af; on reversal SAR resets to the prior trend EP and AF resets to initial_af
Data:
date,high,low,close
2020-07-01,377.0199890136719,369.6000061035156,375.7099914550781
2020-07-02,379.989990234375,372.1199951171875,374.0899963378906
2020-07-06,387.010009765625,376.2099914550781,385.0
2020-07-07,388.7300109863281,380.8800048828125,381.1400146484375
2020-07-08,385.4299926757813,381.4599914550781,384.1400146484375
2020-07-09,387.3399963378906,378.3800048828125,385.5
2020-07-10,398.9100036621094,383.7099914550781,398.30999755859375
2020-07-13,417.1499938964844,401.239990234375,401.3800048828125
2020-07-14,405.4299926757813,390.5799865722656,402.2999877929688
2020-07-15,417.3399963378906,399.4299926757813,413.6799926757813
2020-07-16,422.1499938964844,403.6900024414063,407.5199890136719

Indicator data:
Answer: 385.4623
Question: For Parabolic SAR, what is the value of Palantir Technologies on June 12, 2024? (Initial AF 0.02, step 0.02, max 0.20; Require 10 data points to warm up) Using unadjusted prices, 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: SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1}); EP is the extreme point of the current trend (high for long, low for short); AF starts at initial_af, accelerates by step_af each new extreme until max_af; on reversal SAR resets to the prior trend EP and AF resets to initial_af
Data:
date,high,low,close
2024-05-29,20.989999771118164,20.63999938964844,20.940000534057617
2024-05-30,21.959999084472656,21.020000457763672,21.729999542236328
2024-05-31,22.200000762939453,21.309999465942383,21.68000030517578
2024-06-03,21.790000915527344,21.0049991607666,21.31999969482422
2024-06-04,22.26000022888184,21.040000915527344,22.100000381469727
2024-06-05,22.979999542236328,22.21999931335449,22.959999084472656
2024-06-06,23.950000762939453,22.979999542236328,23.790000915527344
2024-06-07,23.56999969482422,23.059999465942383,23.309999465942383
2024-06-10,23.15999984741211,22.65999984741211,23.1299991607666
2024-06-11,23.950000762939453,22.88999938964844,23.850000381469727
2024-06-12,24.32999992370605,23.56999969482422,23.770000457763672

Indicator data:
Answer: 22.0292
Question: Calculate the Parabolic SAR value for Ingersoll Rand on December 12, 2023. (Initial AF 0.02, step 0.02, max 0.20; Require 10 data points to warm up) Using unadjusted prices, 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: SAR_t = SAR_{t-1} + AF * (EP - SAR_{t-1}); EP is the extreme point of the current trend (high for long, low for short); AF starts at initial_af, accelerates by step_af each new extreme until max_af; on reversal SAR resets to the prior trend EP and AF resets to initial_af
Data:
date,high,low,close
2023-11-28,71.23999786376953,69.63999938964844,69.66000366210938
2023-11-29,70.4000015258789,69.45999908447266,69.5999984741211
2023-11-30,71.5199966430664,69.51000213623047,71.43000030517578
2023-12-01,72.7300033569336,71.36000061035156,72.23999786376953
2023-12-04,72.16000366210938,71.29000091552734,72.0199966430664
2023-12-05,72.44000244140625,71.54000091552734,71.95999908447266
2023-12-06,72.9800033569336,71.20999908447266,71.37999725341797
2023-12-07,72.55999755859375,71.53500366210938,72.55000305175781
2023-12-08,73.41999816894531,72.3949966430664,73.30999755859375
2023-12-11,74.48999786376953,73.37999725341797,73.9800033569336
2023-12-12,74.8499984741211,74.06600189208984,74.26000213623047

Indicator data:
Answer: 70.8087
Question: What is the value of Stochastic RSI for Coterra on February 01, 2021? (Standard parameters: RSI period 14, Stoch period 14, smooth 3; Gain/Loss calculation uses Wilder smoothing, using the first data point as the initial value; output smoothed with SMA; Require 73 data points to warm up) Using unadjusted prices, 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: StochRSI_Smoothed = SMA_k(StochRSI); StochRSI = (RSI - min(RSI, k)) / (max(RSI, k) - min(RSI, k)) * 100; RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0))
Data:
date,close
2020-10-15,19.46999931335449
2020-10-16,19.100000381469727
2020-10-19,19.07999992370605
2020-10-20,19.270000457763672
2020-10-21,19.18000030517578
2020-10-22,20.170000076293945
2020-10-23,19.68000030517578
2020-10-26,19.34000015258789
2020-10-27,19.09000015258789
2020-10-28,18.170000076293945
2020-10-29,18.38999938964844
2020-10-30,17.790000915527344
2020-11-02,17.420000076293945
2020-11-03,16.799999237060547
2020-11-04,16.010000228881836
2020-11-05,16.450000762939453
2020-11-06,16.440000534057617
2020-11-09,16.649999618530273
2020-11-10,17.190000534057617
2020-11-11,17.280000686645508
2020-11-12,16.90999984741211
2020-11-13,17.6200008392334
2020-11-16,17.049999237060547
2020-11-17,17.18000030517578
2020-11-18,16.739999771118164
2020-11-19,17.18000030517578
2020-11-20,17.06999969482422
2020-11-23,17.6299991607666
2020-11-24,18.030000686645508
2020-11-25,17.770000457763672
2020-11-27,17.770000457763672
2020-11-30,17.520000457763672
2020-12-01,17.3799991607666
2020-12-02,17.049999237060547
2020-12-03,15.920000076293944
2020-12-04,16.440000534057617
2020-12-07,16.530000686645508
2020-12-08,16.420000076293945
2020-12-09,16.770000457763672
2020-12-10,17.649999618530273
2020-12-11,17.0
2020-12-14,17.25
2020-12-15,17.31999969482422
2020-12-16,17.020000457763672
2020-12-17,17.229999542236328
2020-12-18,16.969999313354492
2020-12-21,16.860000610351562
2020-12-22,16.790000915527344
2020-12-23,17.170000076293945
2020-12-24,16.940000534057617
2020-12-28,16.479999542236328
2020-12-29,16.079999923706055
2020-12-30,16.469999313354492
2020-12-31,16.280000686645508
2021-01-04,16.600000381469727
2021-01-05,16.760000228881836
2021-01-06,17.06999969482422
2021-01-07,17.420000076293945
2021-01-08,17.270000457763672
2021-01-11,18.040000915527344
2021-01-12,18.57999992370605
2021-01-13,18.920000076293945
2021-01-14,19.299999237060547
2021-01-15,19.06999969482422
2021-01-19,18.61000061035156
2021-01-20,18.31999969482422
2021-01-21,18.36000061035156
2021-01-22,18.540000915527344
2021-01-25,18.690000534057617
2021-01-26,18.38999938964844
2021-01-27,19.049999237060547
2021-01-28,18.3799991607666
2021-01-29,18.32999992370605
2021-02-01,18.61000061035156

Indicator data:
Answer: 0.0778
Question: On September 24, 2020, what is the Stochastic RSI value for Jack Henry & Associates? (Standard parameters: RSI period 14, Stoch period 14, smooth 3; Gain/Loss calculation uses Wilder smoothing, using the first data point as the initial value; output smoothed with SMA; Require 73 data points to warm up) Using unadjusted prices, 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: StochRSI_Smoothed = SMA_k(StochRSI); StochRSI = (RSI - min(RSI, k)) / (max(RSI, k) - min(RSI, k)) * 100; RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0))
Data:
date,close
2020-06-11,174.89999389648438
2020-06-12,172.25
2020-06-15,173.94000244140625
2020-06-16,175.88999938964844
2020-06-17,177.8000030517578
2020-06-18,179.80999755859375
2020-06-19,181.2899932861328
2020-06-22,183.1699981689453
2020-06-23,182.1199951171875
2020-06-24,179.69000244140625
2020-06-25,180.25
2020-06-26,178.49000549316406
2020-06-29,181.47999572753903
2020-06-30,184.02999877929688
2020-07-01,183.8300018310547
2020-07-02,184.50999450683597
2020-07-06,183.05999755859372
2020-07-07,179.82000732421875
2020-07-08,181.9600067138672
2020-07-09,182.3000030517578
2020-07-10,181.52999877929688
2020-07-13,178.3800048828125
2020-07-14,180.05999755859375
2020-07-15,180.1300048828125
2020-07-16,178.82000732421875
2020-07-17,181.5800018310547
2020-07-20,182.8500061035156
2020-07-21,183.27999877929688
2020-07-22,184.05999755859372
2020-07-23,181.7700042724609
2020-07-24,179.58999633789062
2020-07-27,180.6999969482422
2020-07-28,176.5399932861328
2020-07-29,180.75
2020-07-30,178.49000549316406
2020-07-31,178.3000030517578
2020-08-03,182.0
2020-08-04,179.58999633789062
2020-08-05,179.6999969482422
2020-08-06,182.42999267578125
2020-08-07,184.0
2020-08-10,183.77999877929688
2020-08-11,182.8800048828125
2020-08-12,187.8600006103516
2020-08-13,191.97999572753903
2020-08-14,194.3600006103516
2020-08-17,199.1300048828125
2020-08-18,197.6699981689453
2020-08-19,172.22000122070312
2020-08-20,168.1999969482422
2020-08-21,165.85000610351562
2020-08-24,164.72999572753906
2020-08-25,166.3800048828125
2020-08-26,167.25999450683594
2020-08-27,165.85000610351562
2020-08-28,167.47999572753906
2020-08-31,165.4199981689453
2020-09-01,164.36000061035156
2020-09-02,171.10000610351562
2020-09-03,165.6999969482422
2020-09-04,163.1699981689453
2020-09-08,158.50999450683594
2020-09-09,160.7100067138672
2020-09-10,156.0399932861328
2020-09-11,155.77999877929688
2020-09-14,158.47000122070312
2020-09-15,159.7899932861328
2020-09-16,155.6699981689453
2020-09-17,161.75999450683594
2020-09-18,161.8300018310547
2020-09-21,159.2100067138672
2020-09-22,163.1199951171875
2020-09-23,159.41000366210938
2020-09-24,157.6199951171875

Indicator data:
Answer: 0.7647
Question: What was Arthur J. Gallagher & Co.'s Stochastic RSI on March 25, 2025? (Standard parameters: RSI period 14, Stoch period 14, smooth 3; Gain/Loss calculation uses Wilder smoothing, using the first data point as the initial value; output smoothed with SMA; Require 73 data points to warm up) Using unadjusted prices, 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: StochRSI_Smoothed = SMA_k(StochRSI); StochRSI = (RSI - min(RSI, k)) / (max(RSI, k) - min(RSI, k)) * 100; RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0))
Data:
date,close
2024-12-05,303.5799865722656
2024-12-06,296.7099914550781
2024-12-09,291.8500061035156
2024-12-10,283.739990234375
2024-12-11,283.5799865722656
2024-12-12,281.19000244140625
2024-12-13,284.5899963378906
2024-12-16,286.0
2024-12-17,282.9100036621094
2024-12-18,278.489990234375
2024-12-19,279.0899963378906
2024-12-20,283.1000061035156
2024-12-23,284.510009765625
2024-12-24,288.3500061035156
2024-12-26,288.3599853515625
2024-12-27,286.5400085449219
2024-12-30,284.4599914550781
2024-12-31,283.8500061035156
2025-01-02,275.8900146484375
2025-01-03,280.3999938964844
2025-01-06,276.4200134277344
2025-01-07,279.7699890136719
2025-01-08,285.5
2025-01-10,287.010009765625
2025-01-13,285.8099975585937
2025-01-14,289.1099853515625
2025-01-15,290.19000244140625
2025-01-16,295.7900085449219
2025-01-17,294.82000732421875
2025-01-21,296.7699890136719
2025-01-22,293.5
2025-01-23,288.0
2025-01-24,289.510009765625
2025-01-27,296.0
2025-01-28,293.4100036621094
2025-01-29,294.1000061035156
2025-01-30,299.0299987792969
2025-01-31,301.82000732421875
2025-02-03,309.0
2025-02-04,312.2099914550781
2025-02-05,316.29998779296875
2025-02-06,319.989990234375
2025-02-07,322.3299865722656
2025-02-10,324.2900085449219
2025-02-11,322.0
2025-02-12,324.6099853515625
2025-02-13,328.5599975585937
2025-02-14,321.5
2025-02-18,326.29998779296875
2025-02-19,327.3299865722656
2025-02-20,325.1300048828125
2025-02-21,325.5599975585937
2025-02-24,328.489990234375
2025-02-25,331.8299865722656
2025-02-26,328.3299865722656
2025-02-27,333.1700134277344
2025-02-28,337.739990234375
2025-03-03,341.79998779296875
2025-03-04,337.2699890136719
2025-03-05,340.7900085449219
2025-03-06,339.8500061035156
2025-03-07,324.0
2025-03-10,321.8500061035156
2025-03-11,325.75
2025-03-12,325.0799865722656
2025-03-13,322.8500061035156
2025-03-14,325.239990234375
2025-03-17,329.1400146484375
2025-03-18,329.6600036621094
2025-03-19,326.6400146484375
2025-03-20,334.44000244140625
2025-03-21,331.7900085449219
2025-03-24,337.6700134277344
2025-03-25,337.3599853515625

Indicator data:
Answer: 0.5519
Question: For Stochastic RSI, what is the value of Fair Isaac on July 12, 2022? (Standard parameters: RSI period 14, Stoch period 14, smooth 3; Gain/Loss calculation uses Wilder smoothing, using the first data point as the initial value; output smoothed with SMA; Require 73 data points to warm up) Using unadjusted prices, 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: StochRSI_Smoothed = SMA_k(StochRSI); StochRSI = (RSI - min(RSI, k)) / (max(RSI, k) - min(RSI, k)) * 100; RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0))
Data:
date,close
2022-03-25,457.5
2022-03-28,462.3900146484375
2022-03-29,479.3599853515625
2022-03-30,476.9599914550781
2022-03-31,466.4599914550781
2022-04-01,449.2900085449219
2022-04-04,452.4299926757813
2022-04-05,439.9100036621094
2022-04-06,419.1000061035156
2022-04-07,421.1799926757813
2022-04-08,418.75
2022-04-11,411.010009765625
2022-04-12,407.3999938964844
2022-04-13,414.9800109863281
2022-04-14,413.7200012207031
2022-04-18,404.739990234375
2022-04-19,409.5499877929688
2022-04-20,408.0899963378906
2022-04-21,386.6700134277344
2022-04-22,382.6000061035156
2022-04-25,386.5
2022-04-26,369.3399963378906
2022-04-27,375.2799987792969
2022-04-28,385.3800048828125
2022-04-29,373.510009765625
2022-05-02,374.0899963378906
2022-05-03,370.5199890136719
2022-05-04,378.4200134277344
2022-05-05,362.6700134277344
2022-05-06,349.8900146484375
2022-05-09,341.44000244140625
2022-05-10,358.4100036621094
2022-05-11,351.0899963378906
2022-05-12,352.7300109863281
2022-05-13,361.5299987792969
2022-05-16,364.3999938964844
2022-05-17,379.6000061035156
2022-05-18,375.6300048828125
2022-05-19,378.7200012207031
2022-05-20,395.4200134277344
2022-05-23,398.7200012207031
2022-05-24,390.8399963378906
2022-05-25,398.1000061035156
2022-05-26,401.6199951171875
2022-05-27,410.9200134277344
2022-05-31,409.5499877929688
2022-06-01,406.25
2022-06-02,419.55999755859375
2022-06-03,420.4500122070313
2022-06-06,416.5899963378906
2022-06-07,421.8800048828125
2022-06-08,408.4800109863281
2022-06-09,404.8299865722656
2022-06-10,401.80999755859375
2022-06-13,381.1400146484375
2022-06-14,379.4100036621094
2022-06-15,395.7999877929688
2022-06-16,374.7900085449219
2022-06-17,379.0299987792969
2022-06-21,385.010009765625
2022-06-22,386.6300048828125
2022-06-23,402.239990234375
2022-06-24,416.1499938964844
2022-06-27,415.0299987792969
2022-06-28,401.3599853515625
2022-06-29,401.05999755859375
2022-06-30,400.8999938964844
2022-07-01,408.260009765625
2022-07-05,411.3299865722656
2022-07-06,419.0
2022-07-07,423.6099853515625
2022-07-08,418.8500061035156
2022-07-11,417.8200073242188
2022-07-12,412.1300048828125

Indicator data:
Answer: 0.6937
Question: Calculate the Stochastic RSI value for Jabil on December 19, 2025. (Standard parameters: RSI period 14, Stoch period 14, smooth 3; Gain/Loss calculation uses Wilder smoothing, using the first data point as the initial value; output smoothed with SMA; Require 73 data points to warm up) Using unadjusted prices, 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: StochRSI_Smoothed = SMA_k(StochRSI); StochRSI = (RSI - min(RSI, k)) / (max(RSI, k) - min(RSI, k)) * 100; RSI = 100 - (100 / (1 + Gain / Loss)); Gain = Wilder_n(max(Change, 0)); Loss = Wilder_n(-min(Change, 0))
Data:
date,close
2025-09-08,209.1699981689453
2025-09-09,209.22000122070312
2025-09-10,215.72000122070312
2025-09-11,214.27999877929688
2025-09-12,214.05999755859372
2025-09-15,216.05999755859372
2025-09-16,213.3300018310547
2025-09-17,213.63999938964844
2025-09-18,223.2899932861328
2025-09-19,224.33999633789065
2025-09-22,233.22999572753903
2025-09-23,234.4499969482422
2025-09-24,225.27999877929688
2025-09-25,210.1999969482422
2025-09-26,215.83999633789065
2025-09-29,214.50999450683597
2025-09-30,217.1699981689453
2025-10-01,214.83999633789065
2025-10-02,215.69000244140625
2025-10-03,202.0800018310547
2025-10-06,202.1999969482422
2025-10-07,202.6199951171875
2025-10-08,206.52999877929688
2025-10-09,204.7100067138672
2025-10-10,193.9900054931641
2025-10-13,199.8999938964844
2025-10-14,200.58999633789065
2025-10-15,206.8800048828125
2025-10-16,209.7400054931641
2025-10-17,209.33999633789065
2025-10-20,204.0200042724609
2025-10-21,201.1199951171875
2025-10-22,198.75
2025-10-23,206.57000732421875
2025-10-24,212.44000244140625
2025-10-27,211.22999572753903
2025-10-28,214.5200042724609
2025-10-29,222.32000732421875
2025-10-30,221.47000122070312
2025-10-31,220.88999938964844
2025-11-03,220.30999755859372
2025-11-04,209.22000122070312
2025-11-05,218.1499938964844
2025-11-06,215.05999755859372
2025-11-07,213.7100067138672
2025-11-10,219.25999450683597
2025-11-11,211.08999633789065
2025-11-12,213.92999267578125
2025-11-13,201.82000732421875
2025-11-14,201.8699951171875
2025-11-17,200.4600067138672
2025-11-18,198.8800048828125
2025-11-19,200.08999633789065
2025-11-20,192.4900054931641
2025-11-21,196.6999969482422
2025-11-24,197.1499938964844
2025-11-25,203.97999572753903
2025-11-26,207.22999572753903
2025-11-28,210.7100067138672
2025-12-01,209.9900054931641
2025-12-02,212.0500030517578
2025-12-03,214.0500030517578
2025-12-04,218.72000122070312
2025-12-05,220.05999755859372
2025-12-08,225.4199981689453
2025-12-09,228.08999633789065
2025-12-10,229.97000122070312
2025-12-11,234.25
2025-12-12,222.3699951171875
2025-12-15,221.2100067138672
2025-12-16,212.55999755859372
2025-12-17,216.3000030517578
2025-12-18,217.0399932861328
2025-12-19,226.6199951171875

Indicator data:
Answer: 0.2606
Question: What is the value of True Range for Camden Property Trust on December 27, 2021? Using unadjusted prices, 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: TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)
Data:
date,high,low,close
2021-12-23,175.50999450683594,172.1199951171875,173.49000549316406
2021-12-27,176.63999938964844,172.89999389648438,176.55999755859375

Indicator data:
Answer: 3.74
Question: On June 30, 2021, what is the True Range value for Electronic Arts? Using unadjusted prices, 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: TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)
Data:
date,high,low,close
2021-06-29,144.52999877929688,142.22999572753906,144.10000610351562
2021-06-30,144.63999938964844,143.14999389648438,143.8300018310547

Indicator data:
Answer: 1.49
Question: What was Qualcomm's True Range on August 13, 2024? Using unadjusted prices, 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: TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)
Data:
date,high,low,close
2024-08-12,163.38999938964844,157.4199981689453,162.88999938964844
2024-08-13,169.55999755859375,163.27999877929688,169.47000122070312

Indicator data:
Answer: 6.67
Question: For True Range, what is the value of Molina Healthcare on August 22, 2022? Using unadjusted prices, 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: TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)
Data:
date,high,low,close
2022-08-19,334.739990234375,327.989990234375,331.7099914550781
2022-08-22,331.20001220703125,327.7099914550781,329.5

Indicator data:
Answer: 4.0
Question: Calculate the True Range value for Booking Holdings on March 22, 2022. Using unadjusted prices, 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: TR_t = max(H_t - L_t, |H_t - C_{t-1}|, |L_t - C_{t-1}|)
Data:
date,high,low,close
2022-03-21,88.18000030517578,85.68000030517578,86.45559692382812
2022-03-22,88.68879699707031,86.5604019165039,88.07839965820312

Indicator data:
Answer: 2.2332
Question: What is the value of Chaikin Volatility for BXP on September 30, 2024? (Standard parameters: (10, 10); Require 50 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, 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: HL_EMA_t = EMA_n(H - L); ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1
Data:
date,high,low
2024-07-19,67.55999755859375,66.06999969482422
2024-07-22,67.91999816894531,66.06999969482422
2024-07-23,69.69999694824219,67.20999908447266
2024-07-24,70.19999694824219,66.93000030517578
2024-07-25,69.37000274658203,66.91999816894531
2024-07-26,70.55999755859375,68.63999938964844
2024-07-29,71.6500015258789,70.01000213623047
2024-07-30,72.8499984741211,70.04000091552734
2024-07-31,73.37000274658203,69.0
2024-08-01,73.0999984741211,69.51000213623047
2024-08-02,68.77999877929688,65.47000122070312
2024-08-05,67.0199966430664,62.4900016784668
2024-08-06,69.91999816894531,65.69999694824219
2024-08-07,70.06999969482422,67.11000061035156
2024-08-08,68.88999938964844,67.55999755859375
2024-08-09,69.05000305175781,67.58000183105469
2024-08-12,68.61000061035156,66.62000274658203
2024-08-13,68.91000366210938,67.33000183105469
2024-08-14,69.41999816894531,68.30999755859375
2024-08-15,70.62999725341797,68.76000213623047
2024-08-16,70.5199966430664,69.01000213623047
2024-08-19,71.4000015258789,69.97000122070312
2024-08-20,71.27999877929688,69.97000122070312
2024-08-21,70.73999786376953,69.55000305175781
2024-08-22,71.2699966430664,69.79000091552734
2024-08-23,74.1500015258789,71.01000213623047
2024-08-26,74.91000366210938,73.19999694824219
2024-08-27,74.44999694824219,73.05999755859375
2024-08-28,74.5199966430664,73.72000122070312
2024-08-29,74.87999725341797,73.5
2024-08-30,75.7300033569336,74.6500015258789
2024-09-03,75.2300033569336,73.72000122070312
2024-09-04,75.47000122070312,73.95999908447266
2024-09-05,75.72000122070312,74.5199966430664
2024-09-06,75.18000030517578,73.87000274658203
2024-09-09,74.62999725341797,73.47000122070312
2024-09-10,74.73999786376953,73.06999969482422
2024-09-11,76.37000274658203,73.2300033569336
2024-09-12,79.0999984741211,76.31999969482422
2024-09-13,80.58000183105469,79.18000030517578
2024-09-16,81.73999786376953,79.30999755859375
2024-09-17,82.41999816894531,80.12999725341797
2024-09-18,83.37999725341797,80.4000015258789
2024-09-19,83.8499984741211,81.77999877929688
2024-09-20,82.08999633789062,80.80000305175781
2024-09-23,82.20999908447266,81.11000061035156
2024-09-24,82.98999786376953,81.69000244140625
2024-09-25,82.91999816894531,80.30000305175781
2024-09-26,81.83999633789062,79.8499984741211
2024-09-27,81.45999908447266,79.9000015258789
2024-09-30,80.83000183105469,79.30999755859375

Indicator data:
Answer: -0.0758
Question: On February 03, 2025, what is the Chaikin Volatility value for American International Group? (Standard parameters: (10, 10); Require 50 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, 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: HL_EMA_t = EMA_n(H - L); ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1
Data:
date,high,low
2024-11-18,76.54000091552734,75.41999816894531
2024-11-19,75.68000030517578,74.77999877929688
2024-11-20,75.6500015258789,74.54000091552734
2024-11-21,76.23999786376953,74.52999877929688
2024-11-22,76.91999816894531,75.62999725341797
2024-11-25,77.2699966430664,75.79000091552734
2024-11-26,76.37999725341797,75.4000015258789
2024-11-27,77.58999633789062,76.4000015258789
2024-11-29,77.70999908447266,76.83999633789062
2024-12-02,77.20999908447266,75.94999694824219
2024-12-03,76.4000015258789,75.08000183105469
2024-12-04,76.0,74.80000305175781
2024-12-05,76.91999816894531,75.87999725341797
2024-12-06,76.44000244140625,74.63999938964844
2024-12-09,76.16999816894531,73.93000030517578
2024-12-10,74.26000213623047,72.7300033569336
2024-12-11,73.69000244140625,72.54000091552734
2024-12-12,74.16000366210938,72.37000274658203
2024-12-13,73.51000213623047,72.45999908447266
2024-12-16,73.05000305175781,71.97000122070312
2024-12-17,71.7699966430664,70.91999816894531
2024-12-18,71.6500015258789,69.97000122070312
2024-12-19,71.95999908447266,70.51000213623047
2024-12-20,73.43000030517578,70.6500015258789
2024-12-23,72.56999969482422,71.94000244140625
2024-12-24,73.13999938964844,72.25
2024-12-26,73.55000305175781,72.3499984741211
2024-12-27,73.7699966430664,72.62000274658203
2024-12-30,73.0,71.97000122070312
2024-12-31,73.0999984741211,72.55000305175781
2025-01-02,73.44999694824219,72.58000183105469
2025-01-03,73.30000305175781,72.45999908447266
2025-01-06,73.94999694824219,72.30999755859375
2025-01-07,73.44000244140625,72.0999984741211
2025-01-08,71.86000061035156,69.5
2025-01-10,70.72000122070312,69.23999786376953
2025-01-13,70.87999725341797,69.97000122070312
2025-01-14,72.69000244140625,70.63999938964844
2025-01-15,74.01000213623047,72.73999786376953
2025-01-16,74.73999786376953,72.93000030517578
2025-01-17,75.69999694824219,74.66000366210938
2025-01-21,75.93000030517578,75.11000061035156
2025-01-22,75.79000091552734,74.69999694824219
2025-01-23,75.20999908447266,74.55999755859375
2025-01-24,74.80999755859375,73.36000061035156
2025-01-27,76.13999938964844,73.9000015258789
2025-01-28,76.93000030517578,75.04000091552734
2025-01-29,76.56999969482422,75.02999877929688
2025-01-30,76.01000213623047,75.0999984741211
2025-01-31,75.36000061035156,73.4000015258789
2025-02-03,73.48999786376953,71.73999786376953

Indicator data:
Answer: 0.0937
Question: What was Prologis's Chaikin Volatility on June 26, 2020? (Standard parameters: (10, 10); Require 50 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, 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: HL_EMA_t = EMA_n(H - L); ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1
Data:
date,high,low
2020-04-16,88.43000030517578,85.80000305175781
2020-04-17,90.9499969482422,88.23999786376953
2020-04-20,89.47000122070312,87.87999725341797
2020-04-21,89.63999938964844,83.70999908447266
2020-04-22,90.77999877929688,87.66999816894531
2020-04-23,88.95999908447266,86.62999725341797
2020-04-24,89.52999877929688,86.75
2020-04-27,92.68000030517578,89.7300033569336
2020-04-28,94.18000030517578,89.25
2020-04-29,92.0,89.98999786376953
2020-04-30,89.56999969482422,86.87999725341797
2020-05-01,88.62999725341797,86.08999633789062
2020-05-04,87.30999755859375,85.25
2020-05-05,88.93000030517578,87.30999755859375
2020-05-06,88.9800033569336,86.87000274658203
2020-05-07,88.91999816894531,87.33999633789062
2020-05-08,90.3000030517578,88.62999725341797
2020-05-11,90.2300033569336,88.29000091552734
2020-05-12,89.08999633789062,84.20999908447266
2020-05-13,84.72000122070312,82.55999755859375
2020-05-14,84.08000183105469,80.12000274658203
2020-05-15,83.9800033569336,82.0
2020-05-18,87.73999786376953,85.08000183105469
2020-05-19,87.08999633789062,84.52999877929688
2020-05-20,87.30000305175781,85.75
2020-05-21,87.47000122070312,85.94999694824219
2020-05-22,87.66000366210938,85.93000030517578
2020-05-26,90.6999969482422,88.81999969482422
2020-05-27,92.0,89.4800033569336
2020-05-28,93.33999633789062,91.23999786376952
2020-05-29,92.66000366210938,91.0199966430664
2020-06-01,94.55999755859376,91.54000091552734
2020-06-02,95.5500030517578,93.43000030517578
2020-06-03,97.72000122070312,95.5
2020-06-04,96.8000030517578,92.4800033569336
2020-06-05,97.41999816894533,95.37999725341795
2020-06-08,97.97000122070312,95.33999633789062
2020-06-09,98.20999908447266,95.7300033569336
2020-06-10,97.5500030517578,95.55999755859376
2020-06-11,94.16000366210938,90.8000030517578
2020-06-12,95.12000274658205,91.33000183105467
2020-06-15,95.31999969482422,90.87000274658205
2020-06-16,98.30999755859376,95.4499969482422
2020-06-17,97.98999786376952,95.86000061035156
2020-06-18,95.88999938964844,94.5500030517578
2020-06-19,96.68000030517578,91.6500015258789
2020-06-22,92.63999938964844,89.91999816894531
2020-06-23,93.83000183105467,91.26000213623048
2020-06-24,91.58000183105467,87.93000030517578
2020-06-25,91.56999969482422,88.83000183105469
2020-06-26,91.7300033569336,89.16000366210938

Indicator data:
Answer: 0.0374
Question: For Chaikin Volatility, what is the value of APA Corporation on June 03, 2021? (Standard parameters: (10, 10); Require 50 bars to warm up; EMA uses the first data point as the initial value) Using unadjusted prices, 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: HL_EMA_t = EMA_n(H - L); ChaikinVol_t = HL_EMA_t / HL_EMA_{t-m} - 1
Data:
date,high,low
2021-03-23,18.96999931335449,17.899999618530273
2021-03-24,19.229999542236328,18.540000915527344
2021-03-25,18.420000076293945,17.450000762939453
2021-03-26,19.01000022888184,18.0
2021-03-29,18.56999969482422,17.649999618530273
2021-03-30,17.979999542236328,17.100000381469727
2021-03-31,18.06999969482422,17.56999969482422
2021-04-01,18.920000076293945,17.940000534057617
2021-04-05,18.809999465942383,17.3700008392334
2021-04-06,18.3799991607666,17.719999313354492
2021-04-07,18.190000534057617,17.729999542236328
2021-04-08,17.860000610351562,17.219999313354492
2021-04-09,17.68000030517578,17.139999389648438
2021-04-12,17.809999465942383,17.100000381469727
2021-04-13,17.59000015258789,17.170000076293945
2021-04-14,18.68000030517578,17.489999771118164
2021-04-15,18.15999984741211,17.739999771118164
2021-04-16,18.270000457763672,17.59000015258789
2021-04-19,18.38999938964844,17.780000686645508
2021-04-20,18.040000915527344,16.760000228881836
2021-04-21,17.299999237060547,16.270000457763672
2021-04-22,17.719999313354492,16.959999084472656
2021-04-23,18.209999084472656,17.399999618530273
2021-04-26,18.850000381469727,18.06999969482422
2021-04-27,19.149999618530277,18.6200008392334
2021-04-28,20.65999984741211,19.209999084472656
2021-04-29,21.25,20.31999969482422
2021-04-30,20.71999931335449,19.739999771118164
2021-05-03,20.549999237060547,20.0
2021-05-04,20.86000061035156,19.86000061035156
2021-05-05,21.489999771118164,20.290000915527344
2021-05-06,21.51000022888184,20.34000015258789
2021-05-07,21.649999618530277,20.540000915527344
2021-05-10,22.479999542236328,21.81999969482422
2021-05-11,21.540000915527344,20.670000076293945
2021-05-12,22.239999771118164,21.049999237060547
2021-05-13,21.21999931335449,19.950000762939453
2021-05-14,21.71999931335449,20.75
2021-05-17,22.200000762939453,21.25
2021-05-18,22.40999984741211,21.549999237060547
2021-05-19,21.200000762939453,20.3799991607666
2021-05-20,20.81999969482422,20.25
2021-05-21,21.18000030517578,20.739999771118164
2021-05-24,21.26000022888184,20.63999938964844
2021-05-25,20.950000762939453,19.8700008392334
2021-05-26,20.51000022888184,19.81999969482422
2021-05-27,20.959999084472656,20.459999084472656
2021-05-28,21.049999237060547,20.6200008392334
2021-06-01,23.059999465942383,21.729999542236328
2021-06-02,23.86000061035156,22.75
2021-06-03,23.520000457763672,22.959999084472656

Indicator data:
Answer: -0.1517