The ETH/USD C91306 managed fund has a return percentage of 14.279480652963313%, a drawdown of 22.575795206323658%, and a win rate of 57.14285714285714%. The sample size is 7, and the half Kelly criterion is 3.2587428030398424. The fund uses a 1 Hour time frame, immediate15 mode, and a 10 basis point slippage. The trade returns percentages are -7.708864372932145%, -1.4446479288420577%, 2.084737242171797%, 5.392440889487182%, 15.831560745580342%, 5.7310329433412965%, and -4.6483104112924%. The fund uses 15-minute open checks, a 2 ATR stop, which means a stop loss set at 2 times the average true range, and a +2R quarter or break even strategy at a selected cadence. The residual target is for a net 3R, which means three times the initial risk. Horizon exits wait for the selected cadence. The first event is retained on collisions, and expiry is 2 hours. Fees are 25 basis points each, plus 10 or 30 basis points for slippage. The model was trained from 2024 to 2025, and the known holdout period is 2026, with a forced terminal close. The full sample missed count includes pre-2024 warm-up data with no 15-minute history, and should not be interpreted as within-window misses. The model does not fill orders. All 48 cells are included, and timestamps are managed in the results.json file. A news scan found the headline is not applicable in this case, as this is a raw data output.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data: the return percentage of the ETH/USD C91306 managed fund is 41.81225469010923%, the drawdown is 30.982952612358627%, and the win rate is 44.44444444444444%. The sample size is 18, the half Kelly criterion is 0.7912388822934207, and 1 trade was skipped due to a stale price. The symbol is ETH, the time frame is 1 hour, the mode is immediate 15, the slippage is 10 basis points, and the window is train. There were 27 events missed in the full sample. Trade returns percentage is a list of numbers: -10.626111120062431, 21.027535694347744, 22.980211831150974, -13.283875347844232, 6.801146266904934, -8.944656567685605, -9.754041524835767, -7.815446951901162, 17.587701663312316, 9.908466374354852, 33.88973015931893, -13.330074672488779, -10.26717924981777, 29.613594058721727, -8.097086907707451, 15.342184979283836, -7.4058180690107385, -11.242555678040233. The strategy uses 15-minute open checks, a 2 ATR stop, which means a stop loss set at 2 times the average true range, and a quarter of the reward at break even at a selected cadence, with a residual target for a net 3R, which refers to a risk-reward ratio. Horizon exits wait for the selected cadence. The first event is retained on collisions, with an expiry of 2 hours, and fees are 25 basis points each plus 10 or 30 basis points slippage. The training period is from 2024 to 2025, with 2026 held out, and there is a forced terminal close. The full sample missed count includes pre-2024 warm-up with no 15-minute history, and should not be interpreted as within-window misses. The model does not fill, and all 48 cells are used, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data line: return percentage is -14.071155322425142, drawdown is 25.94128685814059, win rate is 20, sample size is 5, half Kelly is 0, skipped stale price is 0, symbol is ETH, time frame is 1Day, mode is manager, slippage in basis points is 30, window is holdout, and events missed greater than 2 hours in full sample is 9. Trade returns percentage is equal to -7.585283880581983, -11.30524077075007, -0.5971873745373668, -2.860572445839049, and 8.568957315013392. The strategy includes 15-minute open checks, a 2ATR stop, and a plus 2R quarter or break even at a selected cadence, with a residual target for net 3R. Horizon exits wait for the cadence. The first event is retained on collisions, with an expiry of 2 hours, and fees are 25 basis points each plus 10 or 30 basis points slippage. The training period is 2024-25, with a known 2026 holdout, and a forced terminal close. The full sample missed count includes a pre-2024 warmup with no 15-minute history, and should not be interpreted as within-window misses. The model does not fill, and all 48 cells are included, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data line: return percentage is -7.965856111354384, drawdown is 40.54646727369313, win rate is 31.25, sample size is 16, half Kelly is 0.12006066970051443, skipped stale price is 0, symbol is ETH, time frame is 1 Day, mode is manager, slippage in basis points is 30, window is train, and events missed greater than 2 hours in full sample is 9. Trade returns percentage is a list of numbers including -9.675595571892092, 20.736248763525957, -8.404973206055333, -11.518834608391836, -0.019391468247398347, -10.114305910757738, -8.102439044972732, 22.516598449440384, -11.336158542773166, 19.220888349526465, -10.377455274217851, 29.98018106708342, -8.90761557223556, 12.97216506078942, -8.386144748599289, and -11.351741412049499. The strategy uses 15-minute open checks, a 2 ATR stop, which means two times the average true range, and a plus 2R quarter or break even at a selected cadence, with a residual target for net 3R. Horizon exits wait for the cadence. The first event is retained on collisions, with an expiry of 2 hours. Fees are 25 basis points each plus 10 or 30 basis points slippage. The training period is 2024-25, with a known 2026 holdout and a forced terminal close. The full sample missed count includes a pre-2024 warmup with no 15-minute history and should not be interpreted as within-window misses. The model does not fill orders. All 48 cells are included, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data line: return percentage is -12.517991817228094, drawdown is 25.20345082260248, win rate is 20, sample size is 5, half Kelly is 0, skipped stale price is 0, symbol is ETH, time frame is 1 Day, mode is manager, slippage in basis points is 10, window is holdout, and events missed greater than 2 hours in full sample is 9. Trade returns percentage is equal to -7.214883103347535, -11.135359463326989, -0.19877811027919634, -2.4712348925030825, and 9.004104744574871. The strategy includes 15-minute open checks, a 2 ATR stop, which means a stop loss set at 2 times the average true range, and a quarter of the risk reward ratio at break even at a selected cadence, with a residual target for a net 3 risk reward ratio. Horizon exits wait for the selected cadence. The first event is retained on collisions, with an expiry of 2 hours. Fees are 25 basis points each, plus 10 or 30 basis points slippage. The training period is 2024-2025, with a known 2026 holdout period, and a forced terminal close. The full sample missed count includes a pre-2024 warm-up period with no 15-minute history, and should not be interpreted as within-window misses. The model does not fill orders. All 48 cells are included, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data line: return percentage is -7.241133793437456, drawdown is 40.93258539506647, win rate is 37.5, sample size is 16, half Kelly is 0.1445287897907943, skipped stale price is 0, symbol is ETH, time frame is 1 Day, mode is manager, slippage is 10 basis points, window is train, and events missed greater than 2 hours full sample is 9. Trade returns percentage is a list of numbers: -9.507312902458953, 19.878293793885483, -8.27347100322704, -13.26657257826913, 0.3813336182278082, -9.754041524835777, -7.734111040159009, 23.007648416321857, -11.593887146654758, 19.698729017783112, -10.018245598333909, 29.27245405803265, -8.542514737552631, 13.42496067063912, -8.018953844212206, -10.996436702364198. The strategy uses 15-minute open checks, a 2 Average True Range stop, and a 2R quarter or break-even at a selected cadence, with a residual target for a net 3R. Horizon exits wait for the cadence. The first event is retained on collisions, with an expiry of 2 hours, and fees are 25 basis points each plus 10 or 30 basis points slippage. The training period is 2024-2025, with a known 2026 holdout, and a forced terminal close. The full sample missed count includes a pre-2024 warm-up with no 15-minute history, and should not be interpreted as within-window misses. The model does not fill, and all 48 cells are used, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data line: a managed fund for ETH/USD, also known as Ethereum in US dollars, has the following statistics: it made a return of -14.026669706591264 percent, its biggest loss was 25.94128685814059 percent, and it was profitable 20 percent of the time, based on a sample of 5 trades. The fund used a 1-day time frame, an immediate 15-minute mode, and a 30 basis point slippage, which is a measure of the difference between expected and actual trade prices. The fund also used a holdout window, which is a period of time used to test the fund's performance. The fund missed 9 events that lasted more than 2 hours. The trade returns were -7.585283880581983 percent, -11.30524077075007 percent, -0.5971873745373668 percent, -2.860572445839049 percent, and 8.6251637838042 percent. The fund used a strategy that included 15-minute open checks, a 2ATR stop, which is a stop-loss order based on the average true range, and a residual target for a net 3R return. The fund also used a horizon exit strategy that waited for a specific cadence, or timing. The first event was retained in case of collisions, and the expiry time was 2 hours. The fund paid fees of 25 basis points, plus 10 or 30 basis points for slippage. The fund was trained on data from 2024 to 2025, and tested on data from 2026, with a forced terminal close. The full sample missed count includes a pre-2024 warm-up period with no 15-minute history, and should not be interpreted as within-window misses. The model does not fill orders. All 48 cells of data are included, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'ETH/USD C91306 managed 1Day immediate15 train slip30bp'. The body of the report is as follows: The return percentage is -9.054935168625846, the drawdown is 40.54646727369256, the win rate is 31.25, and the sample size is 16. The half Kelly criterion, a measure of optimal bet size, is 0.0968757084294225. The symbol being traded is ETH, the time frame is 1 day, and the mode is immediate 15. The slippage, or difference between expected and actual trade price, is 30 basis points. The window of data used is the training window. There were 9 events missed that were more than 2 hours old and not included in the full sample. The trade returns percentages are -9.675595571892092, 20.597321119097202, -8.404973206055333, -11.518834608391815, -0.019391468247387245, -10.114305910757748, -8.102439044972742, 22.516598449440405, -11.336158542773155, 18.69692166182475, -10.377455274217839, 29.21432393281467, -8.907615572235583, 12.922635395525162, -8.3861447485993, and -11.351741412049476. The trading strategy includes 15-minute open checks, a 2 ATR stop, which is a stop-loss order set at 2 times the average true range, and a quarter of the risk reward ratio at the break-even point. The residual target is set for a net 3R, which means three times the risk. Horizon exits wait for the selected cadence. In the event of a collision, the first event is retained and the expiry is 2 hours. Fees are 25 basis points each plus 10 or 30 basis points slippage. The training data is from 2024 to 2025, and the known holdout data is from 2026. There is a forced terminal close. The full sample missed count includes pre-2024 warm-up data with no 15-minute history and should not be interpreted as within-window misses. The model does not fill, meaning it does not execute trades that are not explicitly specified. All 48 cells are included, and timestamps are managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'ETH/USD C91306 managed 1Day immediate15 holdout slip10bp'. The trading fund manager's notes are as follows: The return percentage is -12.47270212407561, the drawdown is 25.20345082260248, and the win rate is 20. The sample size is 5, and the half Kelly is 0. The symbol is ETH, the time frame is 1Day, and the mode is immediate15. The slippage is 10 basis points, and the window is holdout. There were 9 events missed greater than 2 hours in the full sample. Trade returns percentage is -7.214883103347535, -11.135359463326989, -0.19877811027919634, -2.4712348925030825, and 9.060536490470895. The strategy includes 15-minute open checks, a 2ATR stop, and a residual target for a net 3R. A basis point, or bp, is a unit of measurement for interest rates and percentages. The horizon exits wait for the selected cadence. In case of collisions, the first event is retained, and the expiry is 2 hours. Fees are 25 basis points each, plus 10 or 30 basis points for slippage. The training period is 2024-2025, and the known holdout period is 2026. There is a forced terminal close. The full sample missed count includes a pre-2024 warm-up period with no 15-minute history. The model does not fill orders. All 48 cells are managed, and timestamps are in the managed_results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data line: the ETH/USD C91306 managed 1Day immediate15 train slip10bp. The return percentage is -8.611411416638859, the drawdown is 40.93258539506645, the win rate is 37.5, the sample size is 16, and the half Kelly is 0.11328611701546132. The symbol is ETH, the time frame is 1Day, the mode is immediate15, the slippage is 10 basis points, and the window is train. There were 9 events missed greater than 2 hours in the full sample. Trade returns percentage is a list of numbers: -9.507312902458953, 19.73880932355676, -8.27347100322704, -13.266572578269143, 0.3813336182278082, -9.754041524835754, -7.734111040159009, 22.98366090858135, -11.593887146654769, 18.915509075013247, -10.018245598333909, 28.503527346864367, -8.542514737552642, 13.312410118070606, -8.018953844212184, -10.996436702364198. The strategy uses 15-minute open checks, a 2ATR stop, which means a stop loss set at 2 times the average true range, and a quarter of the risk reward ratio at the break even point, with a residual target for a net 3 times the risk reward ratio, at a selected cadence, which refers to the timing of the trades. Horizon exits wait for the selected cadence. In case of collisions, the first event is retained, and the expiry is 2 hours, with fees of 25 basis points each, plus 10 or 30 basis points slippage. The train data is from 2024 to 2025, and the known holdout data is from 2026, with a forced terminal close. The full sample missed count includes a pre-2024 warm-up period with no 15-minute history, and should not be interpreted as within-window misses. The model does not fill, meaning it does not adjust for missing data, and all 48 cells are used, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'BTC/USD C91306 managed 1Hour manager holdout slip30bp'. The automated trading fund manager's notes are as follows: the return percentage is -8.981052390595906, the drawdown is 15.98964773474817, and the win rate is 28.57142857142857, based on a sample of 7. The half Kelly is 0, and 0 trades were skipped due to stale prices. The symbol is BTC, the time frame is 1 hour, and the mode is manager. The slippage is 30 basis points, and the window is holdout. There were 58 events missed. Trade returns percentages are -3.027501605984728, 3.043756815599852, -6.320423114251317, -2.532525973388866, 14.174689706616705, -5.912950683343832, and -7.133897167921955. The strategy uses 15-minute open checks, a 2 ATR stop, and a residual target for a net 3R. A 2ATR stop is a stop-loss order set at a price level that is 2 times the average true range away from the current price. The horizon exits wait for the selected cadence. The first event is retained on collisions, and the expiry is 2 hours, with fees of 25 basis points each, plus 10 or 30 basis points slippage. The train data is from 2024-25, and the known holdout data is from 2026. There is a forced terminal close. The full sample missed count includes pre-2024 warm-up data with no 15-minute history. The model does not fill orders. All 48 cells are managed, and timestamps are in the managed_results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data line: return percentage is -6.751293193289612, drawdown is 33.963077991874805, win rate is 38.88888888888889, sample size is 18, half Kelly is 0.0765597050196738, one stale price was skipped, symbol is BTC, time frame is 1 hour, mode is manager, slippage is 30 basis points, and window is train. Trade returns percentage is a list of numbers including -8.966218204090703, 24.741406768687924, 10.609390464284063, 4.744116577180635, -7.897218733386913, -11.0143915823116, -0.4901086805224386, 0.2679043229864009, 19.50906580156142, -7.574890328522232, 2.552979834157898, -9.264348865468552, -7.571844782624693, 14.383100921344226, -6.2638952554097465, -5.003443470034785, -6.03302524739151, and -4.673418907930682. The strategy uses 15-minute open checks, a 2 ATR stop, which means two times the average true range, and a plus 2R quarter or break even at a selected cadence, with a residual target for net 3R. Horizon exits wait for the cadence. The first event is retained on collisions, with an expiry of 2 hours, and fees are 25 basis points each plus 10 or 30 basis points slippage. The train data is from 2024 to 2025, with a known 2026 holdout, and a forced terminal close. The full sample missed count includes a pre-2024 warmup with no 15-minute history, but this should not be interpreted as within-window misses. The model does not fill, and all 48 cells are used, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
The BTC/USD C91306 managed 1Hour manager holdout slip10bp has a return percentage of 0.6012353133369288, a drawdown of 15.138951433057047, and a win rate of 33.33333333333333. This is based on a sample of 6, with a half Kelly of 0.4883210743709352. The symbol is BTC, the time frame is 1 hour, and the mode is manager. The slippage is 10 basis points, and the window is holdout. There were 58 events missed that were greater than 2 hours, in the full sample. Trade returns percentage is equal to a list of specific percentages: -2.6388331094100437, 3.4567590864106768, -6.1258240719124775, -2.141873600579669, 12.885150232137743, and -3.688349728403628. The strategy includes 15-minute open checks, a 2 ATR stop, which is a measure of market volatility, and a plus 2R quarter or break even at a selected cadence. There is also a residual target for a net 3R. Horizon exits wait for the cadence. The first event is retained on collisions, with an expiry of 2 hours, and fees of 25 basis points each, plus 10 or 30 basis points slippage. The training data is from 2024 to 2025, and the known holdout data is from 2026, with a forced terminal close. The full sample missed count includes a pre-2024 warm-up period with no 15-minute history, but this should not be interpreted as within-window misses. The model does not fill, and all 48 cells are used, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data line: return percentage is 3.605153035365362, drawdown is 34.318680373038134, win rate is 38.88888888888889, sample size is 18, half Kelly is 0.456774082219499, one stale price was skipped, symbol is BTC, time frame is 1 hour, mode is manager, slippage is 10 basis points, window is train, and 58 events were missed. Trade returns percentage is a list of numbers including -8.601352250401828, 25.241373829786063, 21.842016732706515, 5.1639339376623905, -7.726424274460331, -10.657734765035853, -0.09127024185185961, 0.6697808990602239, 19.2502622572823, 2.2597826617772654, -9.076678642090663, -8.900677827842063, -7.201390141108243, 14.841551601742475, -5.88819831546068, -5.009648493599583, -5.656402973967378, and -6.165658759408943. The strategy uses 15-minute open checks, a 2 average true range stop, and a plus 2 risk to reward ratio quarter or break even at a selected cadence, with a residual target for a net 3 risk to reward ratio, which is a measure of potential profit versus potential loss. Horizon exits wait for the selected cadence. The first event is retained on collisions, and expiry is 2 hours, with fees of 25 basis points each plus 10 or 30 basis points slippage, which is the difference between expected and actual trade prices. The training period is 2024-2025, with a known 2026 holdout, and a forced terminal close, which means all positions are closed at the end of the period. The full sample missed count includes a pre-2024 warmup with no 15-minute history, and should not be interpreted as within-window misses. The model does not fill all orders, and all 48 cells are used, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data line for the BTC/USD C91306 managed fund: the return percentage is -0.6142790493896086, the drawdown is 15.863899707075579, the win rate is 33.33333333333333, and the sample size is 6. The half Kelly criterion, a measure of optimal bet size, is 0.16224451770763793. The symbol being traded is BTC, the time frame is 1 hour, and the mode is immediate 15. The slippage, or loss of value due to buying or selling, is 30 basis points. The window being used is the holdout period, and 35 events were missed that were greater than 2 hours full sample. The trade returns percentages are -3.239170441482997, 3.043756815599874, -6.181845338253089, -2.734866189542129, 13.640974922314019, and -3.8778005844461894. The trading strategy includes 15-minute open checks, a 2 ATR stop, which is a measure of volatility, and a residual target for a net 3R return. The horizon exits wait for the selected cadence. The first event is retained on collisions, and the expiry is 2 hours. Fees are 25 basis points each, plus 10 or 30 basis points for slippage. The training period is 2024-2025, and the known holdout period is 2026. There is a forced terminal close. The full sample missed count includes pre-2024 warmup with no 15-minute history, but this should not be interpreted as within-window misses. The model does not fill, and all 48 cells are used. Timestamps are managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'BTC/USD C91306 managed 1Hour immediate15 train slip30bp'. The trade returns percentage is -18.444127733175662, with a drawdown of 41.32835263345276 and a win rate of 36.84210526315789. The sample size is 19, with a half Kelly of 0 and 0 skipped stale prices. The symbol is BTC, with a time frame of 1 hour, mode of immediate 15, and slippage of 30 basis points. The window is train, with 35 events missed greater than 2 hours for the full sample. Trade returns percentage is listed as -8.639497515312511, 24.25963464504537, 10.483425077517827, -11.044662046766652, 6.401637239938229, -8.17881172785806, -11.841360394874101, -0.4901086805224275, 0.2679043229864231, 19.037951174813884, 3.0680322527520287, -9.264348865468552, -7.95103198111523, 15.468509142862175, -6.072713385225448, -5.0472491893410965, -6.082608321787742, -4.67341890793066, -9.970670687410156. The strategy includes 15-minute open checks, a 2ATR stop, and a residual target for net 3R, with horizon exits waiting for cadence. A 2ATR stop is a stop-loss order set at 2 times the average true range, which is a measure of volatility. The first event is retained on collisions, with an expiry of 2 hours and fees of 25 basis points each plus 10/30 basis points slip. The train data is from 2024-25, with known 2026 holdout and forced terminal close. The full sample missed count includes pre-2024 warmup with no 15-minute history and should not be interpreted as within-window misses. The model does not fill, with all 48 cells and timestamps managed in results.json.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'BTC/USD C91306 managed 1Hour immediate15 holdout slip10bp'. The body of the report is a data line that includes the following information: the return percentage is 5.558319556972549, the drawdown is 15.45050611215416, the win rate is 50, the sample size is 6, the half Kelly is 2.314089532612358, no stale prices were skipped, the symbol is BTC, the time frame is 1 hour, the mode is immediate 15, the slippage is 10 basis points, and the window is holdout. The report also includes a list of trade returns: -2.8513503195446877, 3.456759086410699, -6.472107319684783, -2.345024802001061, 13.145314568898758, and 1.6306568392958631. The trading strategy includes 15-minute open checks, a 2 ATR stop, which means a stop loss set at 2 times the average true range, a quarter of the risk reward ratio at the break even point, and a residual target for a net 3 times the risk reward ratio. The horizon exits wait for the selected cadence. The first event is retained on collisions, and the expiry is 2 hours. Fees are 25 basis points each, plus 10 or 30 basis points for slippage. The training data is from 2024 to 2025, and the known holdout data is from 2026. The model does not fill all orders, and all 48 cells are included. The timestamps are managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'BTC/USD C91306 managed 1Hour immediate15 train slip10bp'. The trade results for BTC/USD are as follows: the return percentage is -22.986784517157048, the drawdown is 44.84170257336555, and the win rate is 33.33333333333333. The sample size is 21, with a half Kelly of 0, and 0 skipped stale prices. The symbol is BTC, the time frame is 1 hour, the mode is immediate 15, and the slippage is 10 basis points. The window is train, and 35 events were missed. The trade returns percentage is a list of 21 numbers: -8.2733220559286, 24.757670749943685, 21.715546473133006, -10.748325723396334, -10.688126554362443, 6.828097989779924, -7.810789826901865, -11.488018091820551, -0.09127024185185961, 0.6697808990602017, 18.777259389881728, 3.1599575545917524, -7.52074601227447, -8.900677827842053, -7.5820971325379904, 15.89670460434791, -5.69625018297224, -4.941153500215634, -5.706184778718115, -6.165658759408943, -9.788301843191327. The trade strategy includes 15-minute open checks, a 2 ATR stop, which means a stop loss set at 2 times the average true range, and a quarter of the risk reward ratio at the break even point, with a residual target for a net 3R, which means three times the risk. The horizon exits wait for the selected cadence. In case of collisions, the first event is retained, and the expiry is 2 hours, with fees of 25 basis points each, plus 10 and 30 basis points slippage. The train data is from 2024 to 2025, with a known holdout in 2026, and a forced terminal close. The full sample missed count includes a pre-2024 warm-up period with no 15-minute history, and should not be interpreted as within-window misses. The model does not fill, and all 48 cells are included, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data: the return percentage is -8.81194220961109, the drawdown is 25.31098266214705, and the win rate is 33.33333333333333. This is based on a sample of 6, with a half Kelly of 0, and 0 instances of skipped stale price. The symbol is BTC, the time frame is 1 Day, and the mode is manager. The slippage is 30 basis points, and the window is holdout. There were 8 events missed that were greater than 2 hours in the full sample. Trade returns percentage is -3.6543182801291763, -11.698307760134341, 4.363714514214911, -6.22585307940694, -3.4556311216627944, and 13.442839162922905. The strategy includes 15-minute open checks, a 2 ATR stop, which means a stop loss set at 2 times the average true range, and a quarter of the risk reward ratio at the break even point, with a residual target for a net 3 risk reward ratio. The horizon exits wait for the selected cadence. In the event of a collision, the first event is retained, and the expiry is 2 hours. Fees are 25 basis points each, plus 10 or 30 basis points for slippage. The training data is from 2024 to 2025, and the known holdout data is from 2026, with a forced terminal close. The full sample missed count includes the pre-2024 warm-up period, which had no 15-minute history, and should not be interpreted as within-window misses. The model does not fill, and all 48 cells are managed, with timestamps in the managed_results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data: the return percentage is -24.56075778660467, the drawdown is 31.579696620238728, and the win rate is 31.57894736842105. The sample size is 19, the half Kelly is 0, and 0 trades were skipped due to stale prices. The symbol is BTC, the time frame is 1 day, the mode is manager, the slippage is 30 basis points, and the window is train. There were 8 events missed that were greater than 2 hours in the full sample. Trade returns percentages are -12.283381347399658, 24.80088734579393, -8.144627401734006, -10.427666854958062, 5.341797803150139, -7.897218733386923, -10.81476932446993, -0.4901086805224275, -0.11336081344540672, 19.15517436263552, 4.918469293939842, -9.264348865468541, -7.1618245203134645, 8.67961251644369, -6.263895255409757, 5.734332154161126, -5.071996359215147, -5.129658413068627, and -4.673418907930671. The strategy uses 15-minute open checks, a 2 ATR stop, which means a stop loss set at 2 times the average true range, and a quarter of the risk reward ratio at the break even point, with a residual target for a net 3 times the risk reward ratio. The horizon exits wait for the selected cadence, which refers to the timing of the trades. In case of collisions, the first event is retained, and the expiry is 2 hours. Fees are 25 basis points each, plus 10 or 30 basis points for slippage. The training data is from 2024 to 2025, and the known holdout data is from 2026. There is a forced terminal close, which means all positions are closed at the end of the trading period. The full sample missed count includes pre-2024 warm-up data with no 15-minute history, but this should not be interpreted as within-window misses. The model does not fill all orders, and all 48 cells are used. Timestamps are managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data: the return percentage is -8.440499931558236, the drawdown is 24.818515274881538, and the win rate is 33.33333333333333. This is based on a sample of 6, with a half Kelly value of 0, and 0 instances of skipped stale prices. The symbol is BTC, the time frame is 1 Day, and the mode is manager. The slippage is 10 basis points, and the window is holdout. There were 8 events missed that were greater than 2 hours, in the full sample. The trade returns percentages are -3.2681620823856283, -11.873977250395463, 4.782007212546535, -6.173015238214119, -3.0686785802089056, and 12.707079419490451. The strategy uses 15-minute open checks, a 2 ATR stop, which means a stop loss set at 2 times the average true range, and a quarter of the risk reward ratio at the break even point, with a residual target for a net 3 times the risk reward ratio. The horizon exits wait for the selected cadence. In cases of collisions, the first event is retained, and the expiry is 2 hours. Fees are 25 basis points each, plus a 10 to 30 basis points slippage. The training data is from 2024 to 2025, and the known holdout data is from 2026. There is a forced terminal close. The full sample missed count includes a pre-2024 warm-up period with no 15-minute history, and should not be interpreted as within-window misses. The model does not fill, and all 48 cells are used, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the following data line: the return percentage is -23.197542299712197, the drawdown is 30.32847126659445, the win rate is 36.84210526315789, the sample size is 19, the half Kelly is 0, the number of skipped stale prices is 0, the symbol is BTC, the time frame is 1 day, the mode is manager, the slippage in basis points is 10, and the window is train. The trade returns percentages are -12.7252881448484, 24.56658452482099, -7.776468489038823, -10.068658428499678, 5.764010686768639, -7.726424274460308, -10.878623242158802, -0.09127024185185961, 0.2869876412555872, 18.440528131518974, 5.338985465006263, -8.90067782784204, -7.309901972604815, 9.115203455159726, -5.88819831546068, 6.158118326480944, -4.778029384450589, -4.749415420005776, and -6.165658759408954. The strategy uses 15-minute open checks, a 2 ATR stop, which means a stop loss set at 2 times the average true range, a +2R quarter or break even at a selected cadence, and a residual target for a net 3R. The horizon exits wait for the cadence. The first event is retained on collisions, and the expiry is 2 hours, with fees of 25 basis points each plus 10 or 30 basis points slippage. The train data is from 2024 to 2025, and the known holdout data is from 2026, with a forced terminal close. The full sample missed count includes pre-2024 warm-up data with no 15-minute history, but this should not be interpreted as within-window misses. The model does not fill, and all 48 cells are used, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'BTC/USD C91306 managed 1Day immediate15 holdout slip30bp'. The trading results for BTC/USD are as follows: the return percentage is -8.924188024561658, the drawdown is 25.31098266214705, and the win rate is 33.33333333333333, based on a sample of 6 trades. The half Kelly criterion, a measure of optimal bet size, is 0. The symbol traded is BTC, the time frame is 1 day, and the mode is immediate 15, with a slippage of 30 basis points. The window is holdout, and 8 events were missed. Trade returns percentages are -3.6543182801291763, -11.698307760134341, 4.363714514214911, -6.22585307940694, -3.4556311216627944, and 13.303199343403804. The trading strategy includes 15-minute open checks, a 2 ATR stop, which means a stop loss set at 2 times the average true range, a +2R quarter or break even at selected cadence, and a residual target for a net 3R. Horizon exits wait for the cadence. The first event is retained on collisions, with an expiry of 2 hours, and fees are 25 basis points each plus 10 or 30 basis points slippage. The training data is from 2024 to 2025, and the known holdout data is from 2026, with a forced terminal close. The full sample missed count includes pre-2024 warm-up data with no 15-minute history. The model does not fill orders. All 48 cells are included, and timestamps are managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'BTC/USD C91306 managed 1Day immediate15 train slip30bp'. The trade fund manager's notes are as follows: the return percentage is -24.836402055925234, the drawdown is 31.58067707025294, and the win rate is 31.57894736842105, based on a sample of 19. The half Kelly is 0, and 0 trades were skipped due to stale prices. The symbol is BTC, the time frame is 1 day, the mode is immediate 15, and the slippage is 30 basis points. The window is train, and 8 events were missed. Trade returns percentage is a list of numbers: -12.283381347399658, 24.42704264903579, -8.144627401733995, -10.427666854958051, 5.341797803150139, -7.897218733386902, -10.81476932446993, -0.4901086805224275, -0.11336081344539561, 19.29298160611712, 4.918469293939842, -9.264348865468563, -7.161824520313454, 8.679612516443669, -6.263895255409757, 5.5424514275626, -5.0719963592151585, -5.129658413068617, -4.67341890793066. The strategy uses 15-minute open checks, a 2 ATR stop, which means two times the average true range, and a plus 2R quarter or break even at a selected cadence. Residual target is for a net 3R, which means three times the risk. Horizon exits wait for the cadence. The first event is retained on collisions, and expiry is 2 hours, with fees of 25 basis points each plus 10 or 30 basis points slippage. The train data is from 2024 to 2025, and the known holdout data is from 2026. There is a forced terminal close. The full sample missed count includes pre-2024 warmup with no 15-minute history, but this should not be interpreted as within-window misses. The model does not fill, and all 48 cells are used, with timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'BTC/USD C91306 managed 1Day immediate15 holdout slip10bp'. The body of the report is a data line that includes the following information: the return percentage is -8.554393363816658, the drawdown is 24.818515274881538, the win rate is 33.33333333333333, the sample size is 6, the half Kelly is 0, the skipped stale price is 0, the symbol is BTC, the time frame is 1Day, the mode is immediate15, the slippage in basis points is 10, the window is holdout, and the events missed greater than 2 hours for the full sample is 8. The trade returns percentage is listed as -3.2681620823856283, -11.873977250395463, 4.782007212546535, -6.173015238214119, -3.0686785802089056, and 12.566879919653617. The report also mentions that there are 15-minute open checks, a 2ATR stop, and a residual target for a net 3R, with horizon exits waiting for the cadence. The first event is retained on collisions, with an expiry of 2 hours and fees of 25 basis points each plus 10/30 basis points slip. The training period is 2024-25, with a known 2026 holdout and a forced terminal close. The full sample missed count includes a pre-2024 warmup with no 15-minute history and should not be interpreted as within-window misses. The model does not fill, and all 48 cells have timestamps managed in the results.json file.
https://runway.adityaperswal.workers.dev/data/crypto-bars