id int64 0 3.35k | market stringclasses 2
values | category stringclasses 3
values | question stringlengths 58 620 | answer float64 -13,969,234,422.09 113B | difficulty stringclasses 3
values | sub-category stringclasses 21
values | formula stringclasses 208
values | data stringlengths 43 29.2k | data_indicator stringlengths 64 28.2k ⌀ |
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3,300 | US | technical | What is the percentage of days where the high price is less than the 10-day Exponential Moving Average line for AES Corporation from July 28, 2022 to June 23, 2023? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices,... | 66.4093 | medium | moving average | EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1) | date,close,high
2022-05-31,22.040000915527344,22.3700008392334
2022-06-01,21.8799991607666,22.15999984741211
2022-06-02,22.13999938964844,22.149999618530277
2022-06-03,22.270000457763672,22.3799991607666
2022-06-06,22.709999084472656,23.690000534057617
2022-06-07,22.690000534057617,22.71999931335449
2022-06-08,22.21999... | date,10-day,high
2022-06-13,21.418976673528896,20.25
2022-06-14,20.962799068780388,19.46999931335449
2022-06-15,20.705926372104052,19.920000076293945
2022-06-16,20.384848947004702,19.270000457763672
2022-06-17,20.17851277482203,19.399999618530277
2022-06-21,20.126055795699557,19.950000762939453
2022-06-22,20.1485911055... |
3,301 | US | technical | From December 19, 2021 to August 26, 2022, what proportion of days had Royal Caribbean Group's open price greater than its 5-day Exponential Moving Average line? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, wr... | 48.1481 | medium | moving average | EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1) | date,close,high,open
2021-11-19,80.47000122070312,82.0199966430664,82.0
2021-11-22,79.2699966430664,81.81999969482422,81.0
2021-11-23,78.83999633789062,80.47000122070312,79.95999908447266
2021-11-24,78.33999633789062,79.94999694824219,78.18000030517578
2021-11-26,67.9800033569336,71.52999877929688,71.02999877929688
202... | date,5-day,open
2021-11-26,75.47333300555195,71.02999877929688
2021-11-29,73.61222180025078,72.12999725341797
2021-11-30,72.34814776510859,68.77999877929688
2021-12-01,69.65543072442787,71.01000213623047
2021-12-02,69.39695290075791,66.0
2021-12-03,68.5179693125821,68.0
2021-12-06,69.7619795417214,68.69999694824219
202... |
3,302 | US | technical | During September 19, 2025 to October 02, 2025, what percentage of trading days had EOG Resources's high less the 60-day Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indica... | 54.4503 | medium | moving average | EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1) | date,close,high,open
2024-10-03,130.7899932861328,131.0399932861328,128.66000366210938
2024-10-04,133.1199951171875,133.25999450683594,132.0
2024-10-07,134.24000549316406,135.5,133.25
2024-10-08,130.3699951171875,132.58999633789062,132.5
2024-10-09,130.9600067138672,131.35000610351562,130.3800048828125
2024-10-10,132.1... | date,60-day,high
2024-12-27,127.45381260095849,121.72000122070312
2024-12-30,127.2284417560436,121.31999969482422
2024-12-31,127.07603388965052,122.81999969482422
2025-01-02,126.99845897800533,125.61000061035156
2025-01-03,126.98441113265513,126.94000244140624
2025-01-06,126.96492222304835,128.50999450683594
2025-01-07... |
3,303 | US | technical | For Uber from September 04, 2022 to January 26, 2023, what percentage of days had the high less than the 5-day Exponential Moving Average line? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indic... | 80 | medium | moving average | EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1) | date,close,high,open
2022-08-08,31.850000381469727,32.95500183105469,32.33000183105469
2022-08-09,31.059999465942383,31.549999237060547,31.3700008392334
2022-08-10,32.79999923706055,33.189998626708984,32.439998626708984
2022-08-11,32.2400016784668,33.36000061035156,33.15999984741211
2022-08-12,32.470001220703125,32.759... | date,5-day,high
2022-08-12,32.20605007218727,32.7599983215332
2022-08-15,32.30070060761378,32.90999984741211
2022-08-16,32.3271340944476,32.724998474121094
2022-08-17,31.791422500749896,31.709999084472656
2022-08-18,31.244281540010025,30.6200008392334
2022-08-19,30.499521102967297,29.56999969482422
2022-08-22,29.666347... |
3,304 | US | technical | Calculate the percentage of days where Mettler Toledo's open was less than its 20-day Exponential Moving Average line from June 26, 2019 to February 25, 2020. (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write... | 58.5153 | medium | moving average | EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1) | date,close,high,open
2019-03-04,689.1900024414062,700.8400268554688,699.3599853515625
2019-03-05,693.4099731445312,694.7999877929688,689.47998046875
2019-03-06,681.9400024414062,693.3300170898438,693.3300170898438
2019-03-07,683.8400268554688,684.969970703125,681.6300048828125
2019-03-08,680.9500122070312,681.239990234... | date,20-day,open
2019-03-29,704.3955203640925,710.8200073242188
2019-04-01,706.8664257442235,729.1199951171875
2019-04-02,709.4934339787767,733.6300048828125
2019-04-03,711.7064384063932,737.6099853515625
2019-04-04,713.1820168635968,732.6099853515625
2019-04-05,715.2446844818703,732.8800048828125
2019-04-08,717.447095... |
3,305 | US | technical | What is the percentage of days where the high price is greater than the 5-day Double Exponential Moving Average line for Kimberly-Clark from October 14, 2023 to February 05, 2024? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using una... | 2.1277 | medium | moving average | DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1) | date,close,high
2023-09-11,128.0500030517578,128.67999267578125
2023-09-12,124.83000183105467,128.10000610351562
2023-09-13,124.98999786376952,125.79000091552734
2023-09-14,125.87999725341795,126.12999725341795
2023-09-15,125.01000213623048,126.83000183105467
2023-09-18,125.12000274658205,125.77999877929688
2023-09-19,... | date,5-day,high
2023-09-21,124.99226469049512,126.38999938964844
2023-09-22,124.38981126303572,125.66999816894533
2023-09-25,123.8031875884782,124.37999725341795
2023-09-26,123.53433183092727,124.3000030517578
2023-09-27,122.37547275673043,123.93000030517578
2023-09-28,121.74759149769156,122.2699966430664
2023-09-29,12... |
3,306 | US | technical | From March 17, 2021 to March 30, 2021, what proportion of days had Autodesk's high price less than its 60-day Double Exponential Moving Average line? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the... | 52.0833 | medium | moving average | DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1) | date,close,high
2020-01-07,187.5,188.1699981689453
2020-01-08,189.9499969482422,190.5
2020-01-09,191.94000244140625,192.6999969482422
2020-01-10,192.3600006103516,193.4199981689453
2020-01-13,192.4499969482422,193.3699951171875
2020-01-14,191.1100006103516,193.1300048828125
2020-01-15,190.7899932861328,192.169998168945... | date,60-day,high
2020-06-25,226.31895012810708,234.80999755859372
2020-06-26,227.40030741322286,236.7100067138672
2020-06-29,228.38089374592784,233.92999267578125
2020-06-30,229.755088442845,239.9499969482422
2020-07-01,231.18172405235703,242.6699981689453
2020-07-02,232.45812015759006,244.3999938964844
2020-07-06,233.... |
3,307 | US | technical | During October 03, 2022 to November 13, 2022, what percentage of trading days had Trimble Inc.'s high greater the 10-day Double Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down th... | 24.1935 | medium | moving average | DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1) | date,close,high
2022-07-22,63.150001525878906,64.7300033569336
2022-07-25,64.18000030517578,64.25
2022-07-26,64.12999725341797,64.16999816894531
2022-07-27,65.83999633789062,66.16999816894531
2022-07-28,67.70999908447266,67.73999786376953
2022-07-29,69.43000030517578,69.68000030517578
2022-08-01,69.72000122070312,69.98... | date,10-day,high
2022-08-17,71.30124948958766,71.23999786376953
2022-08-18,71.51343413812657,71.58000183105469
2022-08-19,71.18032023347978,70.81999969482422
2022-08-22,70.00624102592106,69.0
2022-08-23,69.0333036991687,67.88999938964844
2022-08-24,68.71345924836855,68.25
2022-08-25,68.88799552477217,69.41999816894531
... |
3,308 | US | technical | For Steel Dynamics from May 04, 2024 to November 12, 2024, what percentage of days had the close less than the 5-day Double Exponential Moving Average line? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write d... | 50 | medium | moving average | DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1) | date,close,high
2024-04-01,149.25999450683594,151.33999633789062
2024-04-02,147.89999389648438,149.33999633789062
2024-04-03,147.72999572753906,150.5
2024-04-04,146.7100067138672,149.77999877929688
2024-04-05,147.27000427246094,147.66000366210938
2024-04-08,147.85000610351562,148.8800048828125
2024-04-09,146.7299957275... | date,5-day,close
2024-04-11,144.7367272450903,144.22999572753906
2024-04-12,142.23436688595953,140.6300048828125
2024-04-15,141.13283113593542,140.97000122070312
2024-04-16,139.95850250743098,139.77000427246094
2024-04-17,138.94896131494363,138.92999267578125
2024-04-18,136.90928796306318,136.07000732421875
2024-04-19,... |
3,309 | US | technical | Calculate the percentage of days where Cisco's open was less than its 10-day Double Exponential Moving Average line from January 31, 2022 to September 08, 2022. (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, wri... | 51.3514 | medium | moving average | DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1) | date,close,high,open
2021-11-17,56.7599983215332,57.13999938964844,56.61000061035156
2021-11-18,53.630001068115234,53.93000030517578,52.72999954223633
2021-11-19,53.25,53.68999862670898,53.54999923706055
2021-11-22,54.59999847412109,55.52999877929688,53.34999847412109
2021-11-23,55.29999923706055,55.58000183105469,54.6... | date,10-day,open
2021-12-14,58.33366423114255,58.34000015258789
2021-12-15,58.99644092234715,57.91999816894531
2021-12-16,59.59659953592977,60.04999923706055
2021-12-17,60.07152815987112,60.27000045776367
2021-12-20,60.36924025303486,59.66999816894531
2021-12-21,60.78971668058315,60.43999862670898
2021-12-22,61.2444251... |
3,310 | US | technical | What is the percentage of days where the open price is greater than the 30-day Triple Exponential Moving Average line for Schlumberger from October 09, 2024 to October 27, 2024? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadj... | 45.283 | medium | moving average | TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2) | date,close,open
2024-01-23,50.41999816894531,50.459999084472656
2024-01-24,51.66999816894531,50.79999923706055
2024-01-25,52.470001220703125,52.09000015258789
2024-01-26,52.91999816894531,52.40999984741211
2024-01-29,53.20000076293945,52.77999877929688
2024-01-30,49.34999847412109,48.880001068115234
2024-01-31,48.70000... | date,30-day,open
2024-05-28,46.52480150099879,46.540000915527344
2024-05-29,46.2091741072081,46.0
2024-05-30,45.932441859003575,45.59999847412109
2024-05-31,45.753634584154064,45.65999984741211
2024-06-03,45.27633460955623,46.150001525878906
2024-06-04,44.74864119203401,43.75
2024-06-05,44.25935025251248,43.61999893188... |
3,311 | US | technical | From January 19, 2022 to February 20, 2022, what proportion of days had Zebra Technologies's close price greater than its 60-day Triple Exponential Moving Average line? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted pri... | 51.9417 | medium | moving average | TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2) | date,close,open
2020-08-14,286.0299987792969,284.7799987792969
2020-08-17,286.739990234375,288.489990234375
2020-08-18,281.9599914550781,278.6099853515625
2020-08-19,283.1300048828125,282.9200134277344
2020-08-20,276.54998779296875,282.5599975585937
2020-08-21,275.3299865722656,277.4100036621094
2020-08-24,275.39001464... | date,60-day,close
2021-04-29,513.9933359262468,496.6300048828125
2021-04-30,512.8361265669387,487.739990234375
2021-05-03,510.88371819018454,479.0499877929688
2021-05-04,508.2141606457011,470.6199951171875
2021-05-05,506.8015192903671,482.4200134277344
2021-05-06,504.3961392290787,471.4100036621094
2021-05-07,503.74611... |
3,312 | US | technical | During July 28, 2023 to December 31, 2023, what percentage of trading days had Viatris's open less the 60-day Triple Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator... | 55.6701 | medium | moving average | TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2) | date,close,open
2022-02-18,14.710000038146973,14.729999542236328
2022-02-22,14.550000190734863,14.5600004196167
2022-02-23,14.31999969482422,14.550000190734863
2022-02-24,13.93000030517578,13.859999656677246
2022-02-25,14.539999961853027,14.029999732971191
2022-02-28,11.010000228881836,13.720000267028809
2022-03-01,10.... | date,60-day,open
2022-11-02,9.450561125611403,10.199999809265137
2022-11-03,9.468136821650344,9.9399995803833
2022-11-04,9.487650664236774,9.75
2022-11-07,9.626970820776437,10.34000015258789
2022-11-08,9.769814289259354,11.010000228881836
2022-11-09,9.877783682687854,11.039999961853027
2022-11-10,10.027272690043452,11.... |
3,313 | US | technical | For Air Products from January 10, 2020 to March 21, 2020, what percentage of days had the close less than the 60-day Triple Exponential Moving Average line? (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write d... | 37.931 | medium | moving average | TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2) | date,close,open
2018-08-06,160.9600067138672,158.9199981689453
2018-08-07,160.9199981689453,161.32000732421875
2018-08-08,160.64999389648438,161.27000427246094
2018-08-09,160.47999572753906,160.63999938964844
2018-08-10,157.8699951171875,159.91000366210938
2018-08-13,162.44000244140625,162.1999969482422
2018-08-14,164.... | date,60-day,close
2019-04-22,198.7785568057484,196.6199951171875
2019-04-23,199.20334101693427,196.6699981689453
2019-04-24,199.84594717162835,199.4199981689453
2019-04-25,200.44768898410706,199.6000061035156
2019-04-26,201.27662168175934,202.57000732421875
2019-04-29,202.13043585664568,203.57000732421875
2019-04-30,20... |
3,314 | US | technical | Calculate the percentage of days where Adobe Inc.'s close was less than its 60-day Triple Exponential Moving Average line from February 23, 2021 to June 15, 2021. (Unit: %) (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, w... | 49.2366 | medium | moving average | TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2) | date,close,open
2019-09-18,279.7200012207031,275.3500061035156
2019-09-19,281.260009765625,280.1700134277344
2019-09-20,277.9100036621094,281.6000061035156
2019-09-23,277.44000244140625,275.92999267578125
2019-09-24,272.4700012207031,279.5799865722656
2019-09-25,277.42999267578125,271.8999938964844
2019-09-26,283.80999... | date,60-day,close
2020-06-02,380.555787328348,390.4400024414063
2020-06-03,382.6423438740645,389.9200134277344
2020-06-04,384.17261665323673,385.7999877929688
2020-06-05,386.24960271337017,392.8999938964844
2020-06-08,388.6260704307418,397.7799987792969
2020-06-09,390.7582974729871,397.1600036621094
2020-06-10,393.6394... |
3,315 | US | technical | What is the percentage of days where the high price is greater than the 10-day Hull Moving Average line for Mosaic Company (The) from July 07, 2024 to August 22, 2024? (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please li... | 23.6842 | medium | moving average | HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)) | date,close,high
2024-06-13,27.57999992370605,28.270000457763672
2024-06-14,27.15999984741211,27.51000022888184
2024-06-17,26.899999618530277,27.15999984741211
2024-06-18,27.15999984741211,27.6299991607666
2024-06-20,27.71999931335449,27.959999084472656
2024-06-21,27.799999237060547,28.309999465942383
2024-06-24,29.1100... | date,10-day,high
2024-07-01,29.389959643585513,29.0
2024-07-02,28.69824227612428,28.31999969482422
2024-07-03,27.99594910554212,28.149999618530277
2024-07-05,27.397181474319613,27.57999992370605
2024-07-08,26.97428247278387,27.399999618530277
2024-07-09,26.729131037779528,27.26000022888184
2024-07-10,26.608302804195517... |
3,316 | US | technical | From August 25, 2024 to September 10, 2024, what proportion of days had Carrier Global's high price less than its 10-day Hull Moving Average line? (Unit: %) 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 k... | 80 | medium | moving average | HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)) | date,close,high
2024-08-05,63.54999923706055,63.625
2024-08-06,64.13999938964844,65.1500015258789
2024-08-07,63.11000061035156,65.55000305175781
2024-08-08,64.4800033569336,64.80999755859375
2024-08-09,64.37999725341797,65.0
2024-08-12,64.29000091552734,64.80000305175781
2024-08-13,65.47000122070312,65.52999877929688
2... | date,10-day,high
2024-08-20,68.89277636210123,69.06999969482422
2024-08-21,69.50660534483013,69.93499755859375
2024-08-22,69.87477814645479,69.96499633789062
2024-08-23,70.49899101642649,71.5199966430664
2024-08-26,71.2100509412361,72.2699966430664
2024-08-27,71.86556603788127,71.83000183105469
2024-08-28,72.0971416974... |
3,317 | US | technical | During September 03, 2024 to November 08, 2024, what percentage of trading days had Humana's open less the 10-day Hull Moving Average line? 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 pr... | 62.2642 | medium | moving average | HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)) | date,close,high,open
2024-08-12,348.2900085449219,352.1300048828125,351.45001220703125
2024-08-13,356.8399963378906,357.0,349.5299987792969
2024-08-14,356.3800048828125,360.55999755859375,355.45001220703125
2024-08-15,357.2300109863281,358.5,357.3900146484375
2024-08-16,350.3599853515625,357.489990234375,357.4800109863... | date,10-day,open
2024-08-27,353.7811432501282,353.54998779296875
2024-08-28,352.77540471240735,354.1099853515625
2024-08-29,351.91138028231535,353.3500061035156
2024-08-30,352.03570171317665,351.3699951171875
2024-09-03,354.94481284401627,355.0
2024-09-04,360.88148942427205,359.25
2024-09-05,365.8109286221591,372.69000... |
3,318 | US | technical | For Realty Income from August 09, 2022 to May 12, 2023, what percentage of days had the close less than the 5-day Hull Moving Average line? (Unit: %) 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 calc... | 49.4845 | medium | moving average | HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)) | date,close,high,open
2022-07-29,73.98999786376953,74.18000030517578,73.0999984741211
2022-08-01,73.66999816894531,74.16000366210938,73.62000274658203
2022-08-02,72.80000305175781,74.05999755859375,73.5999984741211
2022-08-03,72.0,73.5199966430664,73.0
2022-08-04,72.47000122070312,73.16999816894531,73.05000305175781
202... | date,5-day,close
2022-08-05,72.4715574476454,72.76000213623047
2022-08-08,73.18778025309244,73.26000213623047
2022-08-09,73.69844750298392,73.55000305175781
2022-08-10,74.18999955919053,74.12999725341797
2022-08-11,74.24399820963542,73.86000061035156
2022-08-12,74.52599843343098,74.66999816894531
2022-08-15,74.93822123... |
3,319 | US | technical | Calculate the percentage of days where J.M. Smucker Company (The)'s high was less than its 20-day Hull Moving Average line from November 02, 2020 to December 01, 2020. (Unit: %) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please li... | 75.8621 | medium | moving average | HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)) | date,close,high,open
2020-09-21,109.79000091552734,111.1500015258789,108.87000274658205
2020-09-22,109.87999725341795,111.87999725341795,110.13999938964844
2020-09-23,108.29000091552734,111.04000091552734,110.56999969482422
2020-09-24,110.87000274658205,111.33999633789062,108.5500030517578
2020-09-25,112.1500015258789,... | date,20-day,high
2020-10-21,117.69157290305925,114.9499969482422
2020-10-22,116.73167963135295,116.04000091552734
2020-10-23,115.95891579698176,116.58000183105467
2020-10-26,115.32281228135673,115.54000091552734
2020-10-27,114.60693545849293,115.91000366210938
2020-10-28,113.69516584850491,113.4800033569336
2020-10-29,... |
3,320 | US | technical | How many times did the price break above the 60-day Simple Moving Average line for American Tower from September 07, 2021 to January 17, 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... | 4 | medium | moving average | SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i} | date,close,low,open
2021-06-14,270.94000244140625,267.3599853515625,268.42999267578125
2021-06-15,270.4700012207031,268.6199951171875,270.8599853515625
2021-06-16,266.5299987792969,265.760009765625,271.5899963378906
2021-06-17,269.510009765625,263.7799987792969,264.5199890136719
2021-06-18,265.94000244140625,265.920013... | date,60-day,close
2021-09-07,280.54516855875653,299.2200012207031
2021-09-08,281.08983510335287,303.6199951171875
2021-09-09,281.5290018717448,296.82000732421875
2021-09-10,281.9848353068034,293.8800048828125
2021-09-13,282.4031682332357,294.6099853515625
2021-09-14,282.91083475748695,296.3999938964844
2021-09-15,283.4... |
3,321 | US | technical | From May 28, 2021 to October 28, 2021, how many times did Huntington Ingalls Industries's price break below the 20-day Simple Moving Average line? 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 calcula... | 8 | medium | moving average | SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i} | date,close,low,open
2021-05-03,215.13999938964844,211.3999938964844,213.2100067138672
2021-05-04,214.38999938964844,213.3999938964844,214.57000732421875
2021-05-05,212.8699951171875,209.7400054931641,214.02999877929688
2021-05-06,218.30999755859372,214.63999938964844,214.7400054931641
2021-05-07,216.9900054931641,214.6... | date,20-day,close
2021-05-28,214.87349853515624,216.2100067138672
2021-06-01,215.02099838256837,218.08999633789065
2021-06-02,215.24749832153321,218.9199981689453
2021-06-03,215.6344985961914,220.6100006103516
2021-06-04,215.8314987182617,222.25
2021-06-07,216.04599838256837,221.27999877929688
2021-06-08,216.2104988098... |
3,322 | US | technical | For Tesla between May 04, 2023 and January 01, 2024, how many times did the price break above the 60-day Simple Moving Average line? 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. | 9 | medium | moving average | SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i} | date,close,low,open
2023-02-08,201.2899932861328,194.30999755859372,196.1000061035156
2023-02-09,207.32000732421875,204.7700042724609,207.77999877929688
2023-02-10,196.88999938964844,192.88999938964844,202.22999572753903
2023-02-13,194.63999938964844,187.6100006103516,194.4199981689453
2023-02-14,209.25,189.44000244140... | date,60-day,close
2023-05-04,186.44366658528645,161.1999969482422
2023-05-05,185.92316665649415,170.05999755859375
2023-05-08,185.33099975585938,171.7899932861328
2023-05-09,184.8686663309733,169.14999389648438
2023-05-10,184.43366622924805,168.5399932861328
2023-05-11,183.8141662597656,172.0800018310547
2023-05-12,183... |
3,323 | US | technical | How many break above events of the 60-day Simple Moving Average line occurred for Southwest Airlines from January 12, 2023 to December 05, 2023? 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 calculati... | 4 | medium | moving average | SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i} | date,close,low,open
2022-10-18,33.310001373291016,32.97999954223633,33.380001068115234
2022-10-19,33.119998931884766,32.7599983215332,33.97999954223633
2022-10-20,32.810001373291016,32.790000915527344,33.439998626708984
2022-10-21,33.099998474121094,32.380001068115234,32.650001525878906
2022-10-24,33.720001220703125,32... | date,60-day,close
2023-01-12,36.610666592915855,36.970001220703125
2023-01-13,36.67199993133545,36.9900016784668
2023-01-17,36.73733329772949,37.040000915527344
2023-01-18,36.79549992879232,36.29999923706055
2023-01-19,36.85133330027262,36.45000076293945
2023-01-20,36.90699996948242,37.060001373291016
2023-01-23,36.941... |
3,324 | US | technical | During March 01, 2024 to September 26, 2024, count the number of times Microchip Technology's close price break below the 5-day Simple Moving Average line. 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 ke... | 27 | medium | moving average | SMA_n = 1 / n * \sum_{i=0}^{n-1} P_{t-i} | date,close,low,open
2024-02-26,82.9000015258789,82.69999694824219,83.80999755859375
2024-02-27,82.94000244140625,82.93000030517578,83.05000305175781
2024-02-28,82.18000030517578,81.0,81.25
2024-02-29,84.13999938964844,83.0,83.36000061035156
2024-03-01,87.0,84.56999969482422,84.69999694824219
2024-03-04,86.9199981689453... | date,5-day,close
2024-03-01,83.83200073242188,87.0
2024-03-04,84.63600006103516,86.91999816894531
2024-03-05,85.17599945068359,85.63999938964844
2024-03-06,86.30199890136718,87.80999755859375
2024-03-07,88.14199829101562,93.33999633789062
2024-03-08,88.50999755859375,88.83999633789062
2024-03-11,89.23999786376953,90.56... |
3,325 | US | technical | How many times did the price break above the 20-day Weighted Moving Average line for Global Payments from August 15, 2022 to July 31, 2023? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw ... | 17 | medium | moving average | WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j | date,close,open,low,high
2022-07-19,118.2699966430664,116.0,115.63999938964844,118.52999877929688
2022-07-20,119.87000274658205,118.11000061035156,117.44000244140624,119.98999786376952
2022-07-21,120.2699966430664,119.56999969482422,118.70999908447266,120.93000030517578
2022-07-22,118.70999908447266,119.3499984741211,1... | date,20-day,close
2022-08-15,129.0789058866955,136.22999572753906
2022-08-16,130.04904810587564,136.14999389648438
2022-08-17,130.69880926949637,133.67999267578125
2022-08-18,131.33614313034784,134.24000549316406
2022-08-19,131.77076190766834,132.80999755859375
2022-08-22,131.86681013561432,129.9600067138672
2022-08-23... |
3,326 | US | technical | From December 04, 2024 to August 17, 2025, how many times did PPL Corporation's price break below the 20-day Weighted Moving Average line? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw d... | 12 | medium | moving average | WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j | date,close,open,low,high
2024-11-06,32.54999923706055,32.54999923706055,32.34000015258789,32.900001525878906
2024-11-07,32.34000015258789,32.61000061035156,32.099998474121094,32.7599983215332
2024-11-08,33.060001373291016,32.43000030517578,32.41999816894531,33.18000030517578
2024-11-11,33.459999084472656,33.0,33.0,33.5... | date,20-day,close
2024-12-04,34.2807620093936,34.02000045776367
2024-12-05,34.29580962771461,34.09000015258789
2024-12-06,34.256857081821984,33.599998474121094
2024-12-09,34.16904769170852,33.150001525878906
2024-12-10,34.05890464782715,32.91999816894531
2024-12-11,33.93323792957124,32.72999954223633
2024-12-12,33.7680... |
3,327 | US | technical | For Freeport-McMoRan between June 16, 2023 and January 31, 2024, how many times did the price break above the 60-day Weighted Moving Average line? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list t... | 6 | medium | moving average | WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j | date,close,open,low,high
2023-03-23,37.790000915527344,38.25,37.38999938964844,39.27000045776367
2023-03-24,38.0099983215332,37.369998931884766,36.75,38.209999084472656
2023-03-27,37.97999954223633,38.31999969482422,37.38999938964844,38.369998931884766
2023-03-28,38.369998931884766,38.369998931884766,38.09999847412109,... | date,60-day,close
2023-06-16,37.297278932665215,39.88999938964844
2023-06-20,37.343218869068586,39.400001525878906
2023-06-21,37.40041013623847,39.77000045776367
2023-06-22,37.455000334359255,39.720001220703125
2023-06-23,37.46437734176553,38.369998931884766
2023-06-26,37.50326259592192,39.27000045776367
2023-06-27,37.... |
3,328 | US | technical | How many break below events of the 20-day Weighted Moving Average line occurred for Take-Two Interactive from December 23, 2024 to January 15, 2025? (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list... | 2 | medium | moving average | WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j | date,close,open,low,high
2024-11-25,187.6199951171875,189.75999450683597,187.47000122070312,190.42999267578125
2024-11-26,187.8500061035156,188.19000244140625,187.13999938964844,189.27999877929688
2024-11-27,185.55999755859372,188.22999572753903,185.3500061035156,188.55999755859372
2024-11-29,188.3800048828125,186.2100... | date,20-day,close
2024-12-23,185.779665629069,183.22000122070312
2024-12-24,185.65595136369978,185.38999938964844
2024-12-26,185.71142796107702,187.16000366210935
2024-12-27,185.70066542852493,186.42999267578125
2024-12-30,185.5057601202102,184.5399932861328
2024-12-31,185.285331871396,184.0800018310547
2025-01-02,184.... |
3,329 | US | technical | During July 02, 2024 to January 15, 2025, count the number of times Aflac's close price break above the 20-day Weighted Moving Average line. (Weights are 1, 2, ..., n) Using unadjusted prices, write down the indicator formula, collect the raw data, calculate the answer, and keep four decimal places. Please list the raw... | 9 | medium | moving average | WMA_n = \sum_{i=0}^{n-1} (n-i) * P_{t-i} / \sum_{j=1}^{n} j | date,close,open,low,high
2024-06-04,88.04000091552734,88.4800033569336,87.83000183105469,89.23999786376953
2024-06-05,88.37999725341797,88.1500015258789,87.69999694824219,88.66999816894531
2024-06-06,88.3499984741211,88.44999694824219,87.91000366210938,89.01000213623047
2024-06-07,88.79000091552734,88.45999908447266,88... | date,20-day,close
2024-07-02,89.05071432931082,89.43000030517578
2024-07-03,89.08276160103934,89.08999633789062
2024-07-05,89.10600001017252,89.05000305175781
2024-07-08,89.07557111467634,88.5199966430664
2024-07-09,89.08338067190988,88.93000030517578
2024-07-10,89.2124282110305,90.20999908447266
2024-07-11,89.54333281... |
3,330 | US | technical | How many times did the price break above the 10-day Exponential Moving Average line for General Dynamics from October 02, 2021 to October 22, 2021? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator f... | 3 | medium | moving average | EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1) | date,close,high,open
2021-08-06,199.0800018310547,199.4499969482422,198.13999938964844
2021-08-09,197.2400054931641,198.58999633789065,198.3999938964844
2021-08-10,199.0200042724609,199.13999938964844,196.9900054931641
2021-08-11,200.69000244140625,200.7400054931641,199.42999267578125
2021-08-12,199.1699981689453,201.1... | date,10-day,close
2021-08-19,198.2208434608505,195.4900054931641
2021-08-20,198.0534179319245,197.3000030517578
2021-08-23,198.04552276372658,198.00999450683597
2021-08-24,198.20451829194815,198.9199981689453
2021-08-25,198.40369733918624,199.3000030517578
2021-08-26,198.52484460919214,199.07000732421875
2021-08-27,198... |
3,331 | US | technical | From December 26, 2021 to November 27, 2022, how many times did American Tower's price break above the 10-day Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formul... | 20 | medium | moving average | EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1) | date,close,high,open
2021-10-28,286.010009765625,289.989990234375,285.5
2021-10-29,281.9700012207031,284.92999267578125,284.2300109863281
2021-11-01,282.1000061035156,283.1600036621094,282.8599853515625
2021-11-02,282.6499938964844,285.2900085449219,282.8099975585937
2021-11-03,280.6000061035156,285.4200134277344,283.7... | date,10-day,close
2021-11-10,280.12408935523035,275.8800048828125
2021-11-11,278.7342569245208,272.4800109863281
2021-11-12,277.52802950251987,272.1000061035156
2021-11-15,274.43202413842533,260.5
2021-11-16,271.6334758486974,259.0400085449219
2021-11-17,269.0692072906246,257.5299987792969
2021-11-18,267.23116804779795... |
3,332 | US | technical | For Alexandria Real Estate Equities between June 23, 2022 and September 28, 2022, how many times did the price break above the 10-day Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write d... | 6 | medium | moving average | EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1) | date,close,high,open
2022-04-26,190.6000061035156,194.4600067138672,190.0
2022-04-27,187.3800048828125,191.3999938964844,190.17999267578125
2022-04-28,190.44000244140625,190.9199981689453,188.4499969482422
2022-04-29,182.16000366210935,189.82000732421875,189.44000244140625
2022-05-02,178.14999389648438,182.960006713867... | date,10-day,close
2022-05-09,180.0339833083587,167.27000427246094
2022-05-10,176.96598700904065,163.16000366210938
2022-05-11,174.19398959297925,161.72000122070312
2022-05-12,171.96962906950432,161.9600067138672
2022-05-13,170.9660595929112,166.4499969482422
2022-05-16,169.87223002115317,164.9499969482422
2022-05-17,16... |
3,333 | US | technical | How many break below events of the 5-day Exponential Moving Average line occurred for Halliburton from January 26, 2020 to October 04, 2020? (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator formula,... | 22 | medium | moving average | EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1) | date,close,high,open
2019-12-26,24.540000915527344,24.989999771118164,24.93000030517578
2019-12-27,24.399999618530277,24.690000534057617,24.549999237060547
2019-12-30,24.559999465942383,24.989999771118164,24.56999969482422
2019-12-31,24.46999931335449,24.51000022888184,24.350000381469727
2020-01-02,24.68000030517578,24... | date,5-day,close
2020-01-02,24.560246926766858,24.68000030517578
2020-01-03,24.626831360805184,24.76000022888184
2020-01-06,24.881220703752938,25.38999938964844
2020-01-07,24.810813827933277,24.670000076293945
2020-01-08,24.557208964309037,24.049999237060547
2020-01-09,24.43480615422523,24.190000534057617
2020-01-10,24... |
3,334 | US | technical | During July 27, 2024 to June 26, 2025, count the number of times Insulet Corporation's close price break below the 20-day Exponential Moving Average line. (Smoothing factor alpha = 2 / (n + 1); Require 4n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indi... | 27 | medium | moving average | EMA_t = \alpha * P_t + (1 - \alpha) * EMA_{t-1}, \quad \alpha = 2 / (n + 1) | date,close,high,open
2024-04-03,164.86000061035156,166.0,163.25
2024-04-04,163.25,167.27000427246094,165.72999572753906
2024-04-05,165.0,165.97000122070312,163.0500030517578
2024-04-08,170.0399932861328,170.17999267578125,166.3000030517578
2024-04-09,178.00999450683594,179.47999572753906,171.1999969482422
2024-04-10,17... | date,20-day,close
2024-04-30,168.33044024347026,171.94000244140625
2024-05-01,168.51516062718366,170.27000427246094
2024-05-02,168.98228801211332,173.4199981689453
2024-05-03,169.50111702770073,174.42999267578125
2024-05-06,170.15815291996583,176.39999389648438
2024-05-07,171.5030906208545,184.27999877929688
2024-05-08... |
3,335 | US | technical | How many times did the price break above the 30-day Double Exponential Moving Average line for Devon Energy from March 31, 2022 to September 09, 2022? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicato... | 16 | medium | moving average | DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1) | date,close,high,open
2021-08-26,29.09000015258789,29.59000015258789,29.0
2021-08-27,30.36000061035156,30.40999984741211,29.459999084472656
2021-08-30,29.780000686645508,30.549999237060547,30.38999938964844
2021-08-31,29.549999237060547,30.31999969482422,29.65999984741211
2021-09-01,28.239999771118164,29.59000015258789,... | date,30-day,close
2021-11-17,43.605351581689575,42.290000915527344
2021-11-18,43.7441005471828,43.31999969482422
2021-11-19,43.52411233707458,40.59999847412109
2021-11-22,43.386852784223855,41.13999938964844
2021-11-23,43.544581411613564,43.43999862670898
2021-11-24,43.8882147389815,45.09000015258789
2021-11-26,43.8955... |
3,336 | US | technical | From February 18, 2021 to April 13, 2021, how many times did Southwest Airlines's price break above the 60-day Double Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicato... | 12 | medium | moving average | DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1) | date,close,high,open
2019-12-09,55.470001220703125,55.93999862670898,55.810001373291016
2019-12-10,54.90999984741211,55.58000183105469,55.290000915527344
2019-12-11,54.0,54.84999847412109,54.540000915527344
2019-12-12,54.4900016784668,55.41999816894531,54.459999084472656
2019-12-13,54.150001525878906,54.84999847412109,... | date,60-day,close
2020-05-29,26.307542309879054,32.099998474121094
2020-06-01,26.543154374100247,33.619998931884766
2020-06-02,26.826646209700748,34.47999954223633
2020-06-03,27.225207930599865,36.41999816894531
2020-06-04,27.72727002700396,38.27000045776367
2020-06-05,28.202478047075083,38.18000030517578
2020-06-08,28... |
3,337 | US | technical | For KLA Corporation between April 15, 2024 and July 30, 2024, how many times did the price break below the 20-day Double Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indic... | 14 | medium | moving average | DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1) | date,close,high,open
2023-11-17,544.5399780273438,546.2100219726562,531.77001953125
2023-11-20,557.75,559.4199829101562,542.2000122070312
2023-11-21,550.6900024414062,555.9400024414062,555.3699951171875
2023-11-22,554.1699829101562,562.8400268554688,556.3200073242188
2023-11-24,555.6400146484375,557.219970703125,552.46... | date,20-day,close
2024-01-16,562.7032222166298,566.8099975585938
2024-01-17,562.650242870507,562.5
2024-01-18,567.5941736745152,590.0
2024-01-19,576.0149935028576,612.989990234375
2024-01-22,585.0776120359249,623.0999755859375
2024-01-23,592.1571994847907,619.3300170898438
2024-01-24,601.6674533370261,638.4500122070312... |
3,338 | US | technical | How many break below events of the 30-day Double Exponential Moving Average line occurred for Baker Hughes from July 14, 2019 to February 08, 2020? (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator f... | 13 | medium | moving average | DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1) | date,close,high,open
2018-12-06,21.46999931335449,21.709999084472656,21.6299991607666
2018-12-07,21.65999984741211,22.299999237060547,21.959999084472656
2018-12-10,21.270000457763672,21.600000381469727,21.34000015258789
2018-12-11,21.290000915527344,21.71999931335449,21.57999992370605
2018-12-12,21.56999969482422,22.07... | date,30-day,close
2019-03-04,26.666626487305678,27.09000015258789
2019-03-05,26.80778716654615,27.11000061035156
2019-03-06,26.832682949779603,26.309999465942383
2019-03-07,26.819828207113808,26.049999237060547
2019-03-08,26.765416013730817,25.729999542236328
2019-03-11,26.80963842206648,26.5
2019-03-12,26.887008302504... |
3,339 | US | technical | During October 12, 2019 to March 02, 2020, count the number of times Steel Dynamics's close price break below the 30-day Double Exponential Moving Average line. (Smoothing factor alpha = 2 / (n + 1); Require 5n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down th... | 9 | medium | moving average | DEMA = 2 * EMA1 - EMA2; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1) | date,close,high,open
2019-03-12,36.34999847412109,36.52000045776367,35.790000915527344
2019-03-13,36.5,36.650001525878906,36.47999954223633
2019-03-14,35.119998931884766,36.34000015258789,36.34000015258789
2019-03-15,35.119998931884766,35.84000015258789,35.0
2019-03-18,34.95000076293945,35.97999954223633,35.22999954223... | date,30-day,close
2019-06-04,27.143191075608605,26.5
2019-06-05,26.87140532871161,26.200000762939453
2019-06-06,26.60578875955844,26.0
2019-06-07,26.362077361977843,25.93000030517578
2019-06-10,26.163232726909687,26.059999465942383
2019-06-11,26.059963936319377,26.6299991607666
2019-06-12,25.897041221560595,26.03000068... |
3,340 | US | technical | How many times did the price break below the 60-day Triple Exponential Moving Average line for Merck & Co. from September 04, 2022 to January 03, 2023? (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicat... | 18 | medium | moving average | TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2) | date,close,open
2021-04-01,73.55915832519531,73.6259536743164
2021-04-05,73.47328186035156,73.96946716308594
2021-04-06,72.3187026977539,73.38740539550781
2021-04-07,72.63359069824219,72.59542083740234
2021-04-08,72.03244018554688,72.59542083740234
2021-04-09,72.81488800048828,72.05152893066406
2021-04-12,72.7290115356... | date,60-day,close
2021-12-13,77.10322050113832,73.41999816894531
2021-12-14,76.6932279892034,73.72000122070312
2021-12-15,76.4607338071637,75.29000091552734
2021-12-16,76.30407775770924,75.91000366210938
2021-12-17,76.13853430902796,75.69000244140625
2021-12-20,76.05422262667848,76.41000366210938
2021-12-21,75.89463930... |
3,341 | US | technical | From February 14, 2022 to February 10, 2023, how many times did Monolithic Power Systems's price break below the 10-day Triple Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the... | 49 | medium | moving average | TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2) | date,close,open
2021-11-17,563.5499877929688,576.1900024414062
2021-11-18,560.9500122070312,568.4500122070312
2021-11-19,570.5900268554688,560.489990234375
2021-11-22,557.8599853515625,572.3099975585938
2021-11-23,545.8400268554688,564.030029296875
2021-11-24,552.5800170898438,538.3499755859375
2021-11-26,535.020019531... | date,10-day,close
2021-12-28,496.31680942733556,498.0799865722656
2021-12-29,497.8528080475253,498.3200073242188
2021-12-30,495.79057899444604,491.5
2021-12-31,495.22944794321666,493.3299865722656
2022-01-03,495.54726072220177,494.8500061035156
2022-01-04,494.1313188553645,491.25
2022-01-05,479.2919763877393,460.529998... |
3,342 | US | technical | For AT&T between February 22, 2025 and June 29, 2025, how many times did the price break below the 20-day Triple Exponential Moving Average line? (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator for... | 22 | medium | moving average | TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2) | date,close,open
2024-08-29,19.76000022888184,19.799999237060547
2024-08-30,19.899999618530277,19.76000022888184
2024-09-03,20.43000030517578,19.93000030517578
2024-09-04,20.56999969482422,20.489999771118164
2024-09-05,20.649999618530277,20.709999084472656
2024-09-06,20.96999931335449,20.649999618530277
2024-09-09,21.5,... | date,20-day,close
2024-11-19,22.68397268896044,22.729999542236328
2024-11-20,22.76273362846745,22.82999992370605
2024-11-21,22.86261509321753,22.979999542236328
2024-11-22,22.9924863421591,23.18000030517578
2024-11-25,23.07389510945232,23.100000381469727
2024-11-26,23.133475942013,23.09000015258789
2024-11-27,23.224359... |
3,343 | US | technical | How many break below events of the 60-day Triple Exponential Moving Average line occurred for Brown & Brown from February 10, 2023 to March 16, 2023? (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write down the indicator... | 11 | medium | moving average | TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2) | date,close,open
2021-09-07,58.130001068115234,59.20000076293945
2021-09-08,58.56999969482422,58.02999877929688
2021-09-09,58.43000030517578,58.630001068115234
2021-09-10,57.77000045776367,58.43999862670898
2021-09-13,57.45000076293945,58.310001373291016
2021-09-14,56.09999847412109,57.43999862670898
2021-09-15,57.47999... | date,60-day,close
2022-05-19,59.12848860798209,54.709999084472656
2022-05-20,58.48756977497257,55.0
2022-05-23,57.98592818537931,55.970001220703125
2022-05-24,57.52161199877378,55.959999084472656
2022-05-25,57.11433663238432,56.18000030517578
2022-05-26,56.92240958165486,58.09999847412109
2022-05-27,56.92537783003789,5... |
3,344 | US | technical | During May 03, 2020 to March 25, 2021, count the number of times Live Nation Entertainment's close price break below the 20-day Triple Exponential Moving Average line. (Smoothing factor alpha = 2 / (n + 1); Require 6n data points to warm up; Use the first data point as the initial value) Using unadjusted prices, write ... | 30 | medium | moving average | TEMA = 3 * EMA1 - 3 * EMA2 + EMA3; EMA1 = EMA_n(P); EMA2 = EMA_n(EMA1); EMA3 = EMA_n(EMA2) | date,close,open
2019-11-08,63.15999984741211,63.09999847412109
2019-11-11,64.47000122070312,63.33000183105469
2019-11-12,64.73999786376953,64.79000091552734
2019-11-13,64.61000061035156,64.62999725341797
2019-11-14,64.97000122070312,64.44999694824219
2019-11-15,65.4000015258789,65.4000015258789
2019-11-18,66.8799972534... | date,20-day,close
2020-02-03,70.49883482200472,68.5999984741211
2020-02-04,70.47905571051969,70.98999786376953
2020-02-05,70.4234875091991,70.80999755859375
2020-02-06,70.75875132752998,72.25
2020-02-07,71.0238677673074,72.19000244140625
2020-02-10,71.42687084024513,72.88999938964844
2020-02-11,71.8163343669422,73.1100... |
3,345 | US | technical | How many times did the price break above the 5-day Hull Moving Average line for Bristol Myers Squibb from May 07, 2025 to July 27, 2025? 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 proce... | 11 | medium | moving average | HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)) | date,close,high,open
2025-04-28,48.459999084472656,48.86000061035156,48.310001373291016
2025-04-29,49.220001220703125,49.47999954223633,48.33000183105469
2025-04-30,50.20000076293945,50.34999847412109,50.18999862670898
2025-05-01,49.61000061035156,50.18000030517578,49.56999969482422
2025-05-02,50.56999969482422,50.6500... | date,5-day,close
2025-05-05,50.45444497002496,50.060001373291016
2025-05-06,48.47622265285916,47.56999969482422
2025-05-07,46.8968879699707,47.619998931884766
2025-05-08,46.44066653781467,46.880001068115234
2025-05-09,46.12133441501194,46.45000076293945
2025-05-12,47.241556379530174,48.18000030517578
2025-05-13,47.3855... |
3,346 | US | technical | From February 12, 2024 to January 24, 2025, how many times did Arista Networks's price break above the 10-day Hull Moving Average line? 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 proces... | 38 | medium | moving average | HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)) | date,close,high,open
2024-01-22,66.6500015258789,67.65750122070312,66.9175033569336
2024-01-23,65.51000213623047,66.5,66.42749786376953
2024-01-24,65.61750030517578,66.53250122070312,65.8375015258789
2024-01-25,66.1050033569336,67.50499725341797,66.4375
2024-01-26,66.0999984741211,66.65750122070312,65.48500061035156
20... | date,10-day,close
2024-02-06,67.28345911815912,66.22250366210938
2024-02-07,67.27019097684608,66.76249694824219
2024-02-08,67.65649659898546,68.97250366210938
2024-02-09,68.60746408327661,70.61250305175781
2024-02-12,69.62300976839931,70.22000122070312
2024-02-13,69.53040633538757,66.37750244140625
2024-02-14,68.660742... |
3,347 | US | technical | For KKR & Co. between May 02, 2021 and February 14, 2022, how many times did the price break below the 10-day Hull Moving Average line? 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 proces... | 33 | medium | moving average | HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)) | date,close,high,open
2021-04-12,52.0099983215332,52.13999938964844,51.08000183105469
2021-04-13,52.02999877929688,52.52000045776367,52.040000915527344
2021-04-14,53.11000061035156,53.52999877929688,52.400001525878906
2021-04-15,52.91999816894531,53.65999984741211,53.54999923706055
2021-04-16,53.310001373291016,53.5,53.... | date,10-day,close
2021-04-27,55.615211405898584,56.63999938964844
2021-04-28,56.5306356333723,56.709999084472656
2021-04-29,57.16909059466738,56.810001373291016
2021-04-30,57.38853587526264,56.58000183105469
2021-05-03,57.25172833144063,56.27000045776367
2021-05-04,56.76848620790423,55.630001068115234
2021-05-05,56.816... |
3,348 | US | technical | How many break below events of the 20-day Hull Moving Average line occurred for Occidental Petroleum from July 18, 2025 to August 12, 2025? 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 pr... | 2 | medium | moving average | HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)) | date,close,high,open
2025-06-04,41.90999984741211,43.220001220703125,42.65999984741211
2025-06-05,41.81999969482422,42.31999969482422,42.27999877929688
2025-06-06,42.540000915527344,42.84000015258789,42.130001068115234
2025-06-09,43.2400016784668,43.630001068115234,43.0
2025-06-10,43.90999984741211,44.41999816894531,43... | date,20-day,close
2025-07-08,42.90953123216505,45.75
2025-07-09,43.461630860035555,45.56999969482422
2025-07-10,44.1150680717039,45.84999847412109
2025-07-11,44.81759902937587,46.310001373291016
2025-07-14,45.331306997026715,45.06999969482422
2025-07-15,45.42103817927373,42.68999862670898
2025-07-16,45.181861701569005,... |
3,349 | US | technical | During September 07, 2020 to March 27, 2021, count the number of times KeyCorp's close price break above the 5-day Hull Moving Average line. 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 p... | 36 | medium | moving average | HMA = WMA_{\sqrt{n}}(2 * WMA_{n/2}(P) - WMA_n(P)) | date,close,high,open
2020-08-27,12.670000076293944,12.720000267028809,12.300000190734863
2020-08-28,12.770000457763672,12.84000015258789,12.760000228881836
2020-08-31,12.31999969482422,12.59000015258789,12.550000190734863
2020-09-01,12.529999732971191,12.609999656677246,12.1899995803833
2020-09-02,12.710000038146973,12... | date,5-day,close
2020-09-03,12.71288899315728,12.630000114440918
2020-09-04,12.843333689371747,12.890000343322754
2020-09-08,12.71600053575304,12.520000457763672
2020-09-09,12.505778164333767,12.550000190734863
2020-09-10,12.313111135694713,12.289999961853027
2020-09-11,12.239999643961589,12.359999656677246
2020-09-14,... |
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