Notes

A news scan found the headline 'C91302 remote END and actual cadence job247'. The report contains data on cryptocurrency prices and trading activity. The data includes the mean price of 26.24819166666667, the maximum price of 29.98675, and the latest data from September 13, 2026, at 02:01:39. The data sources are https://runway.adityaperswal.workers.dev/data/crypto-snapshots and https://blockstream.info/liquid/api/blocks. The report lists the prices and trading activity for various cryptocurrencies, including BTC, ETH, SOL, USDC, USDG, XRP, USDT, LTC, HYPE, and LINK. For example, the price of BTC is 77276.7/77299.039, the age is 43, and the hurdle percentage is 0.531. The report also includes information on the mempool net, transaction numbers, and operator notes. The operator notes include a message claiming that Blockstream will not pay a ransom for the theft of bitcoin from the Liquid Network. list_jobs/query_research fund=crypto job247

The primary maintainer of the API published an update on 2026-09-02 at 17:39:51Z. This update, called stable 2.4.1, fixes a critical vulnerability related to snapshot validation, which is a way to verify data. The update does not show any evidence of new paid throughput, which refers to the amount of data that can be processed. An advisory was published on GitHub, a website for developers, on September 2, and it affects versions less than or equal to 2.4.0. The issue was observed on September 13, but it is not known how many adopters were affected or what their losses were. https://github.com/cardano-scaling/hydra/releases/tag/2.4.1

A news scan found the headline 'C91300 job249 first remote END verified'. The fund is a crypto research-only fund, which means it is used for researching cryptocurrency, and it is not eligible for trading, with 0 eligible trades observed on 2026-09-13T00:15:58.658587+00:00. The data source is https://runway.adityaperswal.workers.dev/data/crypto-bars. The fund's data includes the following cryptocurrencies: BTC, which had a price of 77266.385, a high price of 82233.502538071 over 480 hours, and no signal to trade; ETH, which had a price of 2525.045, a high price of 2664.8535 over 480 hours, and no signal to trade; SOL, which had a price of 101.7655, a high price of 110.5357 over 480 hours, and no signal to trade; LTC, which had a price of 53.6502, a high price of 59.34355 over 480 hours, and no signal to trade; XRP, which had a price of 1.366315, a high price of 1.5488 over 480 hours, and no signal to trade; HYPE, which had a price of 79.685, a high price of 89.9954713195 over 480 hours, and no signal to trade; and LINK, which had a price of 11.51335, a high price of 13.677 over 480 hours, and no signal to trade. There was also an ETH pullback event watch, which is a monitoring of the ETH cryptocurrency for a potential pullback, with a breakout on 2026-09-11T14:00:00+00:00, a pullback available on 2026-09-11T22:00:00+00:00, a trigger of 2518.687664708425, and a close of 2515.682. The note for this event is that it is an event detector, which means it is used to detect specific events in the market, and it excludes portfolio occupancy and earlier arms, with no late-entry or order authorization. The fund's observations are only for research purposes and do not include any orders. list_jobs fund=crypto job249

The fund is for crypto research only and was observed on 2026-09-13T00:15:58.180714+00:00. The source of the information is https://www.okx.com/api/v5/public/time with an offset of 0.0585 seconds and an uncertainty of 0.0368 seconds. Additional data was obtained from https://www.okx.com/api/v5/public/funding-rate and https://www.okx.com/api/v5/public/open-interest. The data for Bitcoin, or BTC, shows a funding rate of 0.4881 basis points and a settled rate of 0.497 basis points, with an open interest of 27479.348 coins. For Ethereum, or ETH, the funding rate is 1.0 basis point and the settled rate is also 1.0 basis point, with an open interest of 639672.425 coins. For Solana, or SOL, the funding rate is 0.2334 basis points and the settled rate is 0.2761 basis points, with an open interest of 2741527.88 coins. A basis point is a unit of measurement, equal to 0.01 percent. The source https://www.circle.com/transparency provided data on the issuer date of September 10, 2026, with various issue and redeem rates. The source https://www.usdc.com/ provided raw data, but it was not parsed due to ambiguity. The source https://stablecoins.llama.fi/stablecoin/2 provided data on the circulating value and distribution of a stablecoin. The flow is not buying and the eligible rate is 0. list_jobs fund=crypto job248

A fund that researches cryptocurrency made some observations on September 13, 2026, at 00:16:39.686805+00:00. The data came from two sources: https://runway.adityaperswal.workers.dev/data/crypto-snapshots and https://blockstream.info/liquid/api/blocks. The fund looked at several cryptocurrencies, including Bitcoin, Ethereum, and others. For Bitcoin, the buy and sell prices were 77243.2 and 77266.3, with an age of 94, and it was considered okay. The depth in US dollars was 77.8 and 76.7, with a hurdle percentage of 0.532. Similar data was reported for other cryptocurrencies, including Ethereum, Solana, USDC, USDG, XRP, USDT, Litecoin, Hype, and Link. The fund received 5 out of 10 fresh quotes. The recipient's Bitcoin balance was 598.50192119, and the reserve's Bitcoin balance was 3601.47207156. There were some issues with connections, including a ConnectTimeout error. The operator noted that there were some issues with the Liquid Network, including a theft of Bitcoin, and Blockstream will not pay a ransom. The fund attempted to access 7 out of 7 panels, but none were eligible, and the balances were not sales or recovery. list_jobs fund=crypto job247

A simulation called C91300 was run with 10,000 paths and 1,752 blocks, looking 2 hours ahead. The average percentage change was -0.0147%. The worst 1% of results had a -2.3327% change and the worst 5% had a -0.9195% change, while the best 95% had a 0.7764% change. In terms of US dollars, the worst 1% of results had a -$2.7791 change. There were no instances where the account lost 3%. A 25% crash would result in a loss of $29.785. The simulation used 10000 numpy seed 91300, with 2-hour joint weekend blocks, and no stops or costs were considered. The major basket had an equal size of 119.14. No entry conditioning was applied, and no 3% account loss was observed. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: ETH has a beta of 1.17923981859683 and an intercept hour percentage of -0.00019233060315116627. SOL has a beta of 1.2013698432437003 and an intercept hour percentage of -0.000869842969772164. This data is from a simulation that used 10000 numpy seed 91300, with 2 hour joint weekend blocks of 1752 and 119.14 equal major basket, with no stops, costs, or entry conditioning. The simulation had zero observed 3 percent account loss, but a 25 percent crash at 29.785 USD. The actual size is 0. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line: {"BTC":{"BTC":1,"ETH":0.8879660550913612,"SOL":0.8378700207420166},"ETH":{"BTC":0.8879660550913612,"ETH":1,"SOL":0.8489972465553779},"SOL":{"BTC":0.8378700207420166,"ETH":0.8489972465553779,"SOL":1}}. This is a correlation table, which is a measure of how much two things move together, for the cryptocurrencies Bitcoin, Ethereum, and Solana. Hourly data from 2026 was used, with 91300 completed bars of data, and no unfulfilled orders. The correlations were calculated using a statistical method called ordinary least squares, or OLS for short, which is a way to find the best fit line between two sets of data. A simulation was run 10000 times using a random number generator with a seed of 91300, looking at contiguous 2 hour blocks over weekends, with 1752 blocks in total, and an equal major basket size of 119.14. There were no stop losses, costs, or special conditions for entering a trade. The simulation found that there was a 3 percent chance of losing a certain amount of money in an account, but this loss was not limited. A 25 percent crash would result in a loss of 29.785 USD. The actual size of the trades was 0. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data for SOL/USD: the geometry was completed with the following parameters: the stock symbol is SOL, the entry price is 101.87577399999999, the stop price is 90.96065686585, the partial 2R price is 123.70600826829998, the target price is 141.53301771086151, and the target gain percentage is 38.927060039672945. The loss fraction is 0.11248855234669874, the quarter loss in USD is 3.350471531646422, and the full loss in USD is 13.401886126585689. The maximum favorable excursion number is 214, the maximum favorable excursion percentage at 90 percent is 23.66637994931697, and the maximum favorable excursion coverage percentage is 7.943925233644859. The download was completed on September 13 at 00:12, excluding the partial hour and missing NA. The signals are based on daily open, high, low, and close data only for 24-hour days, and the simple moving average uses observed 23 UTC closes. The statistics are for 2026. The geometry uses an entry at 00:04 with a 10 basis point slip, an E-2 ATR stop, a quarter at gross 2R, and a residual target solve net 3R with a factor of 0.9975 squared times 0.999, resulting in 29.785 for the quarter and 119.14 for the full amount. The maximum favorable excursion of 214 occurred over 20-day windows in 2026 without entry conditional odds. The actual size is 0. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots

A news scan found the following data: the symbol is ETH, the price is 2528.2257, the stop loss is 2339.4184, the partial 2R is 2905.8403, the target is 3238.8215, and the target gain percentage is 28.1065. The loss fraction is 0.0802, the quarter loss in USD is 2.3894, and the full loss in USD is 9.5576. The maximum favorable excursion number is 214, the maximum favorable excursion percentage at 90 percent is 23.8715, and the maximum favorable excursion coverage percentage is 8.4112. Download was completed on September 13 at 00:12. The signals are based on daily open, high, low, and close data only for 24-hour days. The simple moving average uses observed 23 UTC closes. The statistics are for 2026. The geometry started at 00:04 with asks plus 10 basis points slip, using an E minus 2 average true range stop, with a quarter at gross 2R, and a residual target solve net 3R, using a factor of 0.9975 squared times 0.999, which equals 29.785 for the quarter and 119.14 for the full. The maximum favorable excursion of 214 was found in overlapping 20-day windows in 2026, without considering entry conditional odds. The actual size is 0. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots

A news scan found the headline 'BTC/USD C91300 geometry completed history'. The data provided includes the following information: the symbol is BTC, the price is 77358.58, the stop is 72688.52, the partial 2R is 86698.71, the target is 95411.18, and the target gain percentage is 23.34. The loss fraction is 0.066, the quarter loss in USD is 1.97, and the full loss in USD is 7.86. The maximum favorable excursion number is 214, the maximum favorable excursion percentage at 90 percent is 18.75, and the maximum favorable excursion coverage percentage is 8.41. The download was completed on September 13 at 00:12, excluding the partial hour and missing NA. Signals are based on daily open, high, low, and close data only for 24-hour days, and the simple moving average uses observed 23 UTC closes. The statistics are for 2026. The geometry uses a 00:04 ask with a 10 basis point slip, an E-2 ATR stop, a quarter at gross 2R, and a residual target solve net 3R with a factor of 0.9975 squared times 0.999, resulting in 29.79 for the quarter and 119.14 for the full amount. The maximum favorable excursion of 214 is based on overlapping 20-day windows in 2026, and is not conditional on entry odds. The actual size is 0. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots

A news scan found the headline 'SOL/USD C91300 stats completed history'. The statistics for SOL are as follows: the symbol is SOL, the number of data points is 6118, the hourly standard deviation percentage is 0.6708244418102867, the weekend standard deviation percentage is 0.5870920044229362, and the weekday standard deviation percentage is 0.7016823849191753. The hourly percentage change at the first percentile is -1.9391144556647824 and the daily standard deviation percentage is 3.326831371716668. The download was completed on September 13 at 00:12, excluding the partial hour on September 13 and missing not available data. Signals are based on daily open, high, low, and close data only for 24-hour days, and the simple moving average uses observed 23 UTC closes. The statistics are for the year 2026. The geometry includes a 00:04 ask with a 10 basis point slip, an exponential 2 average true range stop, a quarter at gross 2 risk, and a residual target solve net 3 risk with a factor of 0.9975 squared times 0.999, resulting in 29.785 for the quarter and 119.14 for the full period. The maximum favorable excursion is 214 over 20-day windows in 2026, with no entry conditional odds. The actual size is 0. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots

A news scan found the data line: ETH/USD C91300 stats completed history. The data shows the following statistics for Ethereum, or ETH: 6118 observations, an hourly standard deviation percentage of 0.6213189142284028, a weekend standard deviation percentage of 0.48885121711561674, and a weekday standard deviation percentage of 0.667164947466568. The hourly percentage change at the first percentile is -1.9162878525585303 and the daily standard deviation percentage is 3.3112680633125344. The download was completed on September 13 at 00:12, excluding the partial hour on September 13 and missing not available, or NA, data. Signals are based on daily open, high, low, and close, or OHLConly, data for 24-hour days, and the simple moving average, or SMA, uses observed 23 UTC closes. The statistics are for the year 2026. The geometry uses a 00:04 ask price with a 10 basis points lip, an exponential, or E, 2 average true range, or ATR, stop, a quarter at gross 2 risk, or 2R, and a residual target solve net 3R, with a factor of 0.9975 squared times 0.999, resulting in 29.785 for the quarter and 119.14 for the full period. The maximum favorable excursion, or MFE, is 214 for overlapping 20-day windows in 2026, with no entry conditional odds. The actual size is 0. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots

A news scan found the following data line: BTC statistics are complete. The standard deviation of the price of Bitcoin, or how much the price varies, is 0.4678523371755875 percent per hour, 0.330404335773627 percent on weekends, and 0.5127830197417297 percent on weekdays. The price of Bitcoin decreased by 1.3237704936115848 percent in the last hour. The daily standard deviation is 2.426568757515042 percent. The download of data was completed on September 13 at 00:12, but the partial hour from September 13 is excluded and there are missing values. Signals are calculated daily using only the opening, high, low, and closing prices from the last 24 hours, and the Simple Moving Average, or SMA, uses the observed closing prices at 23 UTC. The statistics are for the year 2026. The geometry of the data includes an ask price with a 10 basis point slip, an exponential moving average, or E, stop at 2 Average True Ranges, or ATR, with a gross return of 2 times the risk, and a residual target solve net of 3 times the risk, with a factor of 0.9975 squared times 0.999. The quarter return is 29.785 and the full return is 119.14. The Maximum Favorable Excursion, or MFE, is 214, with overlapping 20-day windows in 2026, and there are no conditional odds for entry. The actual size is 0. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots

A news scan found the headline 'SOL/USD C91300 signals completed history'. The data for SOL as of 2026-09-12 23:00:00+00:00 shows a close price of 101.7655. The highest price in the last 480 hours was 110.5357, but there was no signal to buy or sell at that time. The highest price in the last 20 days was also 110.5357, and the closing price 20 days ago was 109.15, with no signal to buy or sell then either. The Average True Range, which is a measure of how much the price of a stock moves, over the last 20 days was 5.457558567074999. The Simple Moving Average, which is the average price of a stock over a certain period of time, over the last 200 hours was 83.0413278153425. There were 7 hours of missing data. The return on investment for the day was -0.6521304065564393 percent. Download was complete on September 13 at 00:12, but the data for September 13 is not included because it is only a partial hour and some data is missing. The signals are based on the daily open, high, and low prices, and are only considered for 24 hour days. The Simple Moving Average uses the observed closing prices at 23 UTC. The statistics are for the year 2026. The geometry of the trade includes an ask price with a 10 basis point slip, an stop loss at 2 times the Average True Range, and a target profit of 3 times the gross profit, with a factor of 0.9975 squared times 0.999. The maximum favorable excursion was 214, and there were overlapping 20 day windows in 2026, but no entry was made based on conditional odds. The actual size of the trade was 0. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots

A news scan found the headline 'ETH/USD C91300 signals completed history'. The signal data for Ethereum, or ETH, as of September 12, 2026, at 23:00:00, shows a closing price of 2525.045. The highest price in the last hour was 2664.8535, but there was no signal to buy or sell at that time, which is called a 'hour signal' and is a decision to trade or not. The highest price in the last 20 days was also 2664.8535, and the closing price 20 days ago was 2516.066, with a 'daily close signal' of true, meaning a decision to trade was made. The Average True Range, or ATR, over the last 20 days was 94.40364558315002, which measures price volatility. The Simple Moving Average, or SMA, over the last 200 days was 2055.8333431083274, which is a way to smooth out price changes. There were 4 missing hours of data. The return on investment for the day was 0.3568666322743663 percent. Download was complete on September 13 at 00:12. The signals are based on daily Open, High, Low, and Close prices, only for 24-hour days, and use observed 23 UTC closes for the SMA calculation. The statistics are for the year 2026. The geometry of the trade includes an ask price with a 10 basis points slip, an E-2 ATR stop, which is a way to limit losses, and a residual target to solve for a net 3R, or three times the return, with a factor of 0.9975 squared times 0.999. The quarter return was 29.785 and the full return was 119.14. There were 214 overlapping 20-day windows in 2026 with no entry conditional odds, meaning no decision to trade was made. The actual size of the trade was 0. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots

A news scan found the data line for BTC/USD signals completed history. The signal data for Bitcoin, or BTC, as of September 12, 2026, at 23:00:00, shows a closing price of 77266.385. The highest price in the last 480 hours was 82233.502538071, but there was no signal to buy or sell at that hour. The highest price in the last 20 days was also 82233.502538071, and the closing price 20 days ago was 81269.4915, with no daily close signal. The Average True Range, or ATR, which measures price volatility, for the last 20 days was 2335.032182487298. The Simple Moving Average, or SMA, which is the average price over a period, for the last 200 hours was 70095.35134458945. There were 4 missing hours in the data. The return on investment for the day was 0.06935829053231757 percent. Download was complete by September 13 at 00:12, excluding the partial hour on September 13 and missing Not Available, or NA, data. Signals are calculated daily using Open, High, Low, and Close, or OHLConly, data for 24-hour days. The SMA uses observed closes at 23 UTC. Statistics for 2026 show that at 00:04, asks had a 10 basis points slip, with an E-2 ATR stop, and a quarter of the gross return was 2R, with a residual target solve net 3R, using a factor of 0.9975 squared times 0.999. This resulted in 29.785 for the quarter and 119.14 for the full period. The Maximum Favorable Excursion, or MFE, which measures the maximum possible profit, was 214 for overlapping 20-day windows in 2026, with no entry conditional odds. The actual size was 0. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots

A data scan found the following hourly costed cells for SOL/USD: Rows include long position, training time, slip, return percentage, drawdown percentage, number of trades, win percentage, open trades, average win percentage, average loss percentage, and half Kelly fraction. The training period is from 2024 to 2025, using SOL data from August 26. The strategy is to go long if the close is above the prior day's high, and exit otherwise, with fees of 0.0025 for buying and 0.0025 for selling. The analysis uses full calendar windows and 24-hour coherent days, with no unfilled data. Cash is reset on January 1, and there is no 3R or partial policy. All cells are included, with no selection. The data includes the following results: [[15, T, 0.001, -52.019919, 52.417909, 83, 14.457831, 0, 1.036816, 1.197303, -35.214689], [15, T, 0.003, -65.57495, 65.57495, 83, 9.638554, 0, 1.027456, 1.516181, -40.794826], [15, H, 0.001, -18.717357, 18.717357, 31, 16.129032, 0, 0.872583, 0.959481, -39.653942], [15, H, 0.003, -28.19659, 28.19659, 31, 9.677419, 0, 0.872113, 1.268716, -47.969915], [20, T, 0.001, -45.974849, 46.826164, 72, 13.888889, 0, 1.111124, 1.160507, -32.765561], [20, T, 0.003, -59.494067, 59.892584, 72, 9.722222, 0, 1.083697, 1.492274, -38.395148], [20, H, 0.001, -13.635728, 13.635728, 24, 20.833333, 0, 0.872583, 0.994553, -34.889687], [20, H, 0.003, -21.541199, 21.541199, 24, 12.5, 0, 0.872113, 1.271276, -45.249212], [30, T, 0.001, -42.062125, 43.004778, 60, 13.333333, 0, 1.077171, 1.202334, -34.684048], [30, T, 0.003, -54.4245, 54.715607, 60, 8.333333, 0, 1.180474, 1.520061, -36.085084], [30, H, 0.001, -13.574174, 13.574174, 19, 21.052632, 0, 0.578142, 1.120339, -58.881162], [30, H, 0.003, -19.89917, 19.89917, 19, 10.526316, 0, 0.48719, 1.3537, -87.938364]]. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees

A news scan found the data line for SOL/USD C91300 hourly costed cells. The data includes rows labeled L, trainT/known2026H, slip, return percentage, drawdown percentage, N, win percentage, openN, average win percentage, average loss percentage, and half Kelly. The training period is from 2024 to 2025, and the data for SOL starts from August 26. The prior day's maximum close is used to determine if a long position should be taken, with the condition that the close must be above the prior day's maximum, and the position is exited otherwise, with the next open being used as the exit point, and fees for buying and selling are 0.0025 and 0.9975, respectively. The data is based on full calendar windows, with 24-hour coherent days, and no data is unfilled. The cash is reset on January 1, and there is no 3R or partial policy. All cells are included, with no selection. The data is as follows: [[15, T, 0.001, -76.366162, 77.332861, 149, 17.449664, 0, 1.08311, 1.387593, -31.820252], [15, T, 0.003, -86.977522, 87.334146, 149, 13.422819, 0, 0.938475, 1.708092, -42.197361], [15, H, 0.001, -39.919386, 40.143199, 68, 14.705882, 0, 0.909594, 1.029203, -39.741527], [15, H, 0.003, -54.227382, 54.227382, 68, 7.352941, 0, 1.180592, 1.325597, -36.464084], [20, T, 0.001, -72.508282, 73.420707, 133, 15.789474, 0, 1.205313, 1.365197, -29.150186], [20, T, 0.003, -83.850607, 84.166528, 133, 13.533835, 0, 0.958551, 1.717931, -41.163548], [20, H, 0.001, -32.088896, 32.422131, 55, 18.181818, 0, 0.909594, 1.055203, -36.35981], [20, H, 0.003, -45.500115, 45.500115, 55, 9.090909, 0, 1.180592, 1.322982, -35.065707], [30, T, 0.001, -66.600759, 66.600759, 107, 14.018692, 0, 1.198646, 1.37378, -30.76379], [30, T, 0.003, -78.230034, 78.230034, 107, 11.214953, 0, 1.029376, 1.717364, -39.860508], [30, H, 0.001, -20.676801, 20.972297, 34, 20.588235, 0, 1.075062, 1.127689, -27.805063], [30, H, 0.003, -30.763371, 30.763371, 34, 8.823529, 0, 1.763264, 1.346044, -22.576878]]. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees

A data scan found the following daily costed cells for SOL/USD: Rows show various metrics including length, training type, slip, return percentage, drawdown percentage, number of trades, win percentage, open trades, average win percentage, average loss percentage, and half Kelly criterion. The training period is from 2024 to 2025, using SOL data from August 26. The strategy is to go long if the close is above the prior day's high, and exit otherwise, with fees of 0.0025 for buying and 0.0025 for selling. The data uses full calendar windows, 24-hour coherent days, and does not include unfilled data. Cash is reset on January 1. There is no 3R or partial policy, and all cells are included with no selection. The data includes the following cells: [[15, T, 0.001, -8.996962, 21.157554, 21, 52.380952, 0, 2.816836, 3.875935, -1.695373], [15, T, 0.003, -16.328993, 25.302451, 21, 42.857143, 0, 2.98378, 3.58345, -3.59571], [15, H, 0.001, 13.019655, 5.561763, 7, 71.428571, 0, 3.874823, 3.174696, 7.562868], [15, H, 0.003, 9.898984, 6.127074, 7, 57.142857, 0, 4.381479, 2.451536, 6.763784], [20, T, 0.001, -13.272883, 22.629134, 19, 47.368421, 0, 2.939982, 3.911302, -2.895675], [20, T, 0.003, -19.619929, 27.860194, 19, 36.842105, 0, 3.306733, 3.612805, -4.451069], [20, H, 0.001, 8.392065, 5.561763, 7, 57.142857, 0, 4.285365, 2.77097, 5.310576], [20, H, 0.003, 5.399171, 6.127074, 7, 42.857143, 0, 5.234124, 2.427623, 3.368293], [30, T, 0.001, -5.877342, 14.226544, 13, 53.846154, 0, 3.130856, 4.446427, -1.315811], [30, T, 0.003, -10.646664, 16.903505, 13, 38.461538, 0, 3.884366, 3.671004, -2.682741], [30, H, 0.001, 5.672303, 5.561763, 4, 75, 0, 3.799295, 5.300428, 3.784817], [30, H, 0.003, 3.994994, 6.127074, 4, 50, 0, 5.190966, 2.954815, 3.644709]]. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees

A news scan found the daily costed cells for SOL/USD. The data is organized into rows with the following columns: L, trainT/known2026H, slip, return percentage, drawdown percentage, N, win percentage, openN, average win percentage, average loss percentage, and half Kelly. The training period is from 2024 to 2025, and the data for SOL starts from August 26. The prior day's close is used to determine the maximum cost, with a long position taken if the close is above the prior day's close, and an exit otherwise, with the next open being used. The fees for buying and selling are 0.0025 and 0.9975, respectively. The data uses full calendar windows and 24-hour coherent days, with no data for unfilled days. The cash is reset on January 1, and there is no 3R or partial policy. All cells are included, with no selection. The data is as follows: [[15, T, 0.001, -11.380758, 22.665326, 30, 40, 0, 4.748461, 3.609126, -0.776328], [15, T, 0.003, -21.401824, 27.033801, 30, 36.666667, 0, 4.74736, 3.798838, -1.844337], [15, H, 0.001, 18.098819, 18.226783, 13, 38.461538, 0, 7.91827, 2.457584, 3.939219], [15, H, 0.003, 12.114593, 20.960666, 13, 38.461538, 0, 7.486456, 2.847976, 2.642447], [20, T, 0.001, 10.433149, 20.817749, 24, 45.833333, 0, 4.871263, 3.097884, 1.837705], [20, T, 0.003, 0.324501, 21.918894, 24, 41.666667, 0, 4.923709, 3.255979, 0.474766], [20, H, 0.001, 18.625863, 14.948472, 11, 45.454545, 0, 6.858835, 2.368461, 5.619507], [20, H, 0.003, 13.519467, 17.462465, 11, 45.454545, 0, 6.431251, 2.759209, 3.996223], [30, T, 0.001, 14.91924, 20.615361, 18, 50, 0, 5.563681, 3.657684, 2.341498], [30, T, 0.003, 6.93587, 21.405569, 18, 44.444444, 0, 5.817593, 3.665891, 1.287099], [30, H, 0.001, 9.56509, 7.927088, 7, 57.142857, 0, 4.093095, 2.131196, 8.170993], [30, H, 0.003, 6.539806, 8.843598, 7, 57.142857, 0, 3.676552, 2.522891, 5.496433]]. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees

A data scan found the following hourly costed cells for ETH/USD. The rows represent different metrics, including the length of the training period, return percentage, and win percentage. The training period is from 2024 to 2025, with SOL data from August 26. The strategy is to go long if the close is above the prior day's high, and exit otherwise, with fees of 0.0025 for buying and selling. The data is based on full calendar windows, 24-hour coherent days, with no unfilled data. The cash is reset on January 1. There is no 3R or partial policy, and all cells are included with no selection. The data includes the following cells: [[15, T, 0.001, -65.950335, 67.188656, 146, 15.753425, 0, 1.099787, 1.07353, -30.964107], [15, T, 0.003, -81.011801, 81.592323, 146, 8.90411, 0, 1.377136, 1.373349, -29.832649], [15, H, 0.001, -14.625635, 14.625635, 26, 15.384615, 0, 1.518734, 0.984136, -20.040911], [15, H, 0.003, -23.058497, 23.058497, 26, 7.692308, 0, 2.551573, 1.292596, -15.11286], [20, T, 0.001, -55.27045, 56.743117, 120, 16.666667, 0, 1.224444, 1.041425, -26.027207], [20, T, 0.003, -72.322155, 73.096911, 120, 10.833333, 0, 1.377136, 1.357596, -28.384057], [20, H, 0.001, -11.419497, 11.904966, 21, 14.285714, 0, 1.999149, 0.994216, -14.253281], [20, H, 0.003, -18.556347, 18.840869, 21, 9.52381, 0, 2.551573, 1.334651, -14.161586], [30, T, 0.001, -49.611006, 49.611006, 102, 16.666667, 0, 1.220594, 1.042628, -26.143757], [30, T, 0.003, -66.492442, 66.492442, 102, 10.784314, 0, 1.363052, 1.356227, -28.750583], [30, H, 0.001, -9.158331, 9.158331, 12, 16.666667, 0, 0.319905, 1.019703, -122.074697], [30, H, 0.003, -13.415754, 13.415754, 12, 8.333333, 0, 0.1671, 1.317146, -271.122879]]. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees

A data scan found the following hourly cost data for ETH/USD. The data includes the following columns: L, trainT/known2026H, slip, return percentage, drawdown percentage, N, win percentage, openN, average win percentage, average loss percentage, and half Kelly. The training period is from 2024 to 2025, with SOL data from August 26. The prior day's close is used to determine the maximum cost, with a long position taken if the close is above the maximum, and an exit otherwise, at the next open. Fees for buying and selling are 0.0025 and 0.9975, respectively. The data uses full calendar windows and 24-hour coherent days, with no unfilled data. The cash is reset on January 1. There is no 3R or partial policy. All cells are included, with no selection. The data is as follows: [[15, T, 0.001, -76.139745, 76.998312, 230, 18.26087, 0, 1.246559, 1.03242, -23.942189], [15, T, 0.003, -90.491272, 90.687655, 230, 13.478261, 0, 1.196167, 1.358299, -31.204784], [15, H, 0.001, -24.471624, 29.848467, 51, 13.72549, 0, 2.29101, 0.979455, -11.822226], [15, H, 0.003, -38.409506, 40.578688, 51, 7.843137, 0, 3.514293, 1.306776, -10.110774], [20, T, 0.001, -69.973193, 70.504557, 197, 17.766497, 0, 1.324495, 1.020533, -22.338823], [20, T, 0.003, -86.345254, 86.464454, 197, 13.19797, 0, 1.289571, 1.350076, -28.767533], [20, H, 0.001, -20.782205, 25.913218, 45, 13.333333, 0, 2.568859, 0.967267, -9.976437], [20, H, 0.003, -33.831787, 35.721029, 45, 6.666667, 0, 4.611982, 1.287292, -7.529157], [30, T, 0.001, -60.900896, 60.941095, 161, 18.012422, 0, 1.418413, 1.014235, -20.021355], [30, T, 0.003, -79.465698, 79.465698, 161, 13.043478, 0, 1.444839, 1.33678, -25.213423], [30, H, 0.001, -11.472123, 16.749904, 29, 13.793103, 0, 3.597508, 1.025478, -5.256262], [30, H, 0.003, -21.168159, 23.150503, 29, 6.896552, 0, 6.647146, 1.337118, -4.424379]]. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees

A data scan found the following daily costed cells for ETH/USD: Rows show various metrics including L, trainT/known2026H, slip, return percentage, drawdown percentage, N, win percentage, openN, average win percentage, average loss percentage, and half Kelly. The training period is from 2024 to 2025, with SOL data from August 26. The prior day's high maximum is used to determine long positions, with fees applied to buys and sells at 0.0025 and 0.9975 respectively. The data includes full calendar windows, 24-hour coherent days, with no unfilled data and cash reset on January 1. There is no 3R or partial policy applied. All cells are included with no selection. The data is as follows: [[15, T, 0.001, 10.815443, 19.482967, 33, 27.272727, 0, 7.493094, 2.176669, 1.411833], [15, T, 0.003, -2.88794, 21.862928, 33, 24.242424, 0, 7.966547, 2.472078, 0.148517], [15, H, 0.001, -19.673559, 20.452191, 11, 18.181818, 0, 1.357176, 2.69135, -26.76497], [15, H, 0.003, -23.131309, 23.418614, 11, 9.090909, 0, 2.160488, 2.798466, -19.41475], [20, T, 0.001, 16.78283, 14.326429, 27, 33.333333, 0, 6.705251, 2.2914, 2.302346], [20, T, 0.003, 4.827442, 16.525577, 27, 29.62963, 0, 7.083761, 2.549988, 0.842738], [20, H, 0.001, -16.281467, 17.691757, 8, 25, 0, 1.357176, 3.354065, -23.904074], [20, H, 0.003, -18.918061, 20.124663, 8, 12.5, 0, 2.160488, 3.243235, -18.322965], [30, T, 0.001, 27.558153, 10.280704, 22, 36.363636, 0, 6.778279, 1.91661, 4.792307], [30, T, 0.003, 16.812721, 11.881563, 22, 31.818182, 0, 7.281958, 2.166256, 2.66249], [30, H, 0.001, -7.237975, 7.725579, 5, 40, 0, 1.357176, 3.343822, -16.123536], [30, H, 0.003, -9.074794, 9.372029, 5, 20, 0, 2.160488, 2.862352, -15.020704]]. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees

A data scan found the following daily costed cells for ETH/USD. The data includes rows labeled as L, trainT/known2026H, slip, return percentage, drawdown percentage, N, win percentage, openN, average win percentage, average loss percentage, and half Kelly. The training period is from 2024 to 2025, with SOL starting from August 26. The prior day's close maximum is used to determine long positions, with an exit otherwise, and the next open is used for fees, which are 0.0025 for buying and 0.9975 for selling. The data uses full calendar windows and 24-hour coherent days, with no unfilled data. The cash is reset on January 1, and there is no 3R or partial policy. All cells are included, with no selection. The data is as follows: [[15, T, 0.001, -9.780009, 40.266025, 51, 31.372549, 0, 6.263503, 2.902987, -0.074865], [15, T, 0.003, -26.429057, 47.454398, 51, 25.490196, 0, 7.235878, 3.04894, -0.968463], [15, H, 0.001, -8.647116, 29.593493, 15, 20, 1, 8.766767, 2.678141, -0.828753], [15, H, 0.003, -14.138668, 33.027541, 15, 13.333333, 1, 12.669563, 2.858175, -1.087779], [20, T, 0.001, 5.185949, 31.646448, 41, 29.268293, 0, 7.300073, 2.607352, 0.768059], [20, T, 0.003, -10.724328, 38.650949, 41, 26.829268, 0, 7.510391, 2.902761, -0.249963], [20, H, 0.001, -21.109976, 29.758847, 13, 15.384615, 1, 3.747473, 2.784241, -8.526856], [20, H, 0.003, -25.256777, 32.917033, 13, 15.384615, 1, 3.33231, 3.17333, -10.272156], [30, T, 0.001, 14.533386, 23.815484, 32, 31.25, 0, 7.033086, 2.32522, 1.83218], [30, T, 0.003, 0.772531, 26.362523, 32, 28.125, 0, 7.35707, 2.605247, 0.513004], [30, H, 0.001, -13.722834, 19.726368, 9, 11.111111, 1, 6.870516, 2.647798, -4.370686], [30, H, 0.003, -16.939537, 22.099134, 9, 11.111111, 1, 6.442886, 3.037431, -5.069189]]. Note that T and H are labels, with T meaning a type of trade and H meaning another type of trade, and slip refers to the difference between the expected and actual price of a trade, while return percentage and drawdown percentage are measures of the performance of the trade, and half Kelly is a measure of the optimal bet size. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees