Notes

A news scan found the data for the SOL/USD trade. Measured on September 11 at 06:09 UTC, the data used a seed from September 11, 2024, to 2026, and a holdout period from January 1, 2026, to September 11, 2026. The data was based on 365 days of historical information, with moving blocks of 1, 24, and 72 hours, and a 20-day horizon, with 10,000 paths each. The trade used a bootstrap of 20,000 independent and identically distributed samples, and a regression with 7 lags. The beta was calculated using the intercept, trend, simple moving average of 50, high risk, and cross. The risk was measured as the annualized standard deviation of daily returns, with a training median of 20 days. The trade parameters were as follows: symbol SOL, kind unconditional paths, block hours 72, paths 10,000, blocks available 8,533, trailing true, horizon hours 480, risk percentage 9.96, target up percentage 32.70, net stop percentage 10.59, stop percentage 62.19, target percentage 2.84, timeout percentage 34.97, mean net -2.54, 5th percentile net -12.42, 95th percentile net 20.50, worst net -14.83, and probability of loss 65.72. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD C91106 unconditional_paths 72 trail=false'. Measured on September 11 at 06:09 UTC, the analysis used a seed from September 11, 2026, and historical data from 2024 to 2025 for training, and data from January 1, 2026, to September 11, 2026, as a holdout. The analysis used 365-day path sources with moving blocks of 1, 24, and 72 hours, a 20-day horizon, and 10,000 paths each. The share paths were static and did not use trailing, channel, or breakout conditioning. The trade bootstrap used 20,000 independent and identically distributed samples, and HAC regression with 7 lags: beta included the intercept, trend, SMA50, high RV, and cross. RV was calculated as the 20-day annualized standard deviation, with the square root of 365, and the training median was used. The results included the following parameters for the symbol SOL: 10000 paths, 8533 blocks available, no trailing, 480-hour horizon, 9.96% risk percentage, 32.70% target up percentage, 10.59% net stop percentage, 55.17% stop percentage, 3.38% target percentage, 41.45% timeout percentage, -2.61 mean net, -12.43 5th percentile net, 23.23 95th percentile net, -14.83 worst net, and 66.6% probability of loss. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following trading data for SOL/USD: Measured on September 11 at 06:09 UTC, using a seed from September 11, 2024, and historical data from 2024 to 2025 for training, and data from January 1, 2026, to September 11 for testing. The system used 365 days of path data, with moving blocks of 1, 24, and 72 hours, a 20-day horizon, and 10,000 paths each. The system did not use channel or breakout conditioning, and it shared paths between static and trail methods. The trade used a bootstrap of 20,000 independent and identically distributed samples, and a regression with 7 lags, including a beta calculation with an intercept, trend greater than a 50-period simple moving average, high realized volatility, and a cross, with realized volatility calculated as the square root of the annualized volatility over 365 days, and the training median. The trading parameters were as follows: symbol SOL, unconditional paths, 24-hour blocks, 10,000 paths, 8677 blocks available, trailing true, 480-hour horizon, risk percentage 9.9622229395, target up percentage 32.6990137669, net stop percentage 10.5908463932, stop percentage 64.67, target percentage 3.4, timeout percentage 31.93, mean net -2.4766701643, 5th percentile net -12.2661977203, 95th percentile net 22.2651354466, worst net -15.0343431185, and probability of loss 66.68. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD C91106 unconditional_paths 24 trail=false'. Measured on September 11 at 06:09 UTC, the analysis used a seed from September 11, 2026, and historical data from 2024 to 2025 for training, and data from January 1, 2026, to September 11, 2026, as a holdout. The analysis used 365-day paths with moving blocks of 1, 24, and 72 hours, a 20-day horizon, and 10,000 paths each. It did not use channel or breakout conditioning. The trade bootstrap used 20,000 independent and identically distributed samples, and a regression with 7 lags: beta included the intercept, trend, simple moving average 50, high realized volatility, and cross, with realized volatility calculated as the annualized standard deviation of the square root of 365. The training data used the median. The analysis of the symbol SOL, an unconditional paths kind, had the following parameters: block hours were 24, there were 10,000 paths, 8677 blocks were available, trailing was false, the horizon was 480 hours, risk percentage was 9.9622229395, target up percentage was 32.6990137669, net stop percentage was 10.5908463932, stop percentage was 56.45, target percentage was 4.09, timeout percentage was 39.46, mean net was -2.5190530069, the 5th percentile net was -12.2714707921, the 95th percentile net was 25.9466057508, the worst net was -15.0343431185, and the probability of loss was 67.69. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following trading data for SOL/USD: Measured on September 11 at 06:09 UTC, using a seed from the same date. The data was trained on historical information from 2024 to 2025, and then tested on data from January 1, 2026, to September 11, 2026. The system used 365 days of path sources, with moving blocks of 1, 24, and 72 hours, and a 20-day horizon, with 10,000 paths each. The system did not use channel or breakout conditioning, and it used static and trailing share paths. A trade bootstrap of 20,000 was used, with a regression of 7 lags, including a beta calculation that considered the intercept, trend, and simple moving average of 50, high realized volatility, and cross. Realized volatility was calculated over 20 days, with an annual square root of 365, and the training median was used. The trading parameters were as follows: symbol SOL, unconditional paths, block hours of 1, 10,000 paths, 8,747 blocks available, trailing true, horizon hours of 480, risk percentage of 9.96, target up percentage of 32.70, net stop percentage of 10.59, stop percentage of 64.01, target percentage of 3.31, timeout percentage of 32.68, mean net of -2.30, 5th percentile net of -11.97, 95th percentile net of 22.21, worst net of -15.83, and probability of loss of 66.47. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD C91106 unconditional_paths 1 trail=false'. Measured on September 11 at 06:09 UTC, using a seed from 91106, with historical data from 2024 to 2025 for training, and from January 1, 2026, to September 11 for holdout. The path source is 365 days, with moving blocks of 1, 24, and 72 hours, a 20-day horizon, and 10,000 paths each. The analysis used static and trail share paths, with no channel or breakout conditioning. It also used trade bootstrap with 20,000 independent and identically distributed samples, and HAC regression with 7 lags, including beta, which is a measure of volatility, with an intercept, trend, and simple moving average over 50 periods, high realized volatility, and cross, which refers to the intersection of two or more trends. The realized volatility is 20 annualized, with the square root of 365, and the training median. The results include the symbol SOL, unconditional paths, 1 block hour, 10,000 paths, 8,747 blocks available, no trailing, 480 horizon hours, and various risk and target percentages, including a risk percentage of 9.96, target up percentage of 32.70, net stop percentage of 10.59, stop percentage of 55.68, target percentage of 4.03, timeout percentage of 40.29, mean net of -2.36, 5th percentile net of -11.97, 95th percentile net of 25.52, worst net of -15.83, and a probability of loss of 67.52. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'ETH/USD C91106 conditional_trade_bootstrap hourly trail=undefined'. Measured on September 11 at 06:09 UTC, this is a seed 91106 with historical data from 2024 to 2025 for training and from 2026 January 1 to September 11 for holdout. The path source is 365 days with moving blocks of 1, 24, and 72 hours and a 20-day horizon with 10,000 paths each. The trade bootstrap is 20,000 IID with HAC regression of 7 lags. The beta includes an intercept, trend, SMA50, high RV, and cross. RV is 20 annual sqrt 365, with a training median. The results are for the symbol ETH, with a conditional trade bootstrap on an hourly timeframe, 6 periods, 20,000 draws, a win rate of 66.6666666667%, a mean of 2.8749449414, an average win of 5.8484266974, and an average loss of 3.0720185706. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a conditional trade bootstrap for ETH/USD on September 11. Measured on September 11 at 06:09 UTC, the seed was 91106. The historical data used was from 2024 to 2025 for training and from January 1, 2026, to September 11 for holdout. The path source was 365 days, with moving blocks of 1, 24, and 72 hours, and a 20-day horizon, with 10,000 paths each. The trade bootstrap was static with 20,000 independent and identically distributed paths, and a HAC regression with 7 lags. The beta was calculated using the intercept, trend, SMA50, high RV, and cross. The RV was calculated as the 20-day annualized standard deviation, with the square root of 365, and the training median. The results were as follows: the symbol was ETH, the kind was conditional trade bootstrap, the time frame was daily, the number of trades was 5, the number of draws was 20,000, the win rate was 20, the mean was -3.5219, the average win was 9.4966, the average loss was 6.7765, the mean confidence interval low was -9.3381, the mean confidence interval high was 3.3357, the positive mean percentage was 16.515, the half wealth was 0, the full notional was 0, the quarter probe was 0, the terminal loss percentage was 0, the terminal 5th percentile was 0, the terminal 95th percentile was 0, the excess best was -24.7762, and the actual notional was 0. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'ETH/USD C91106 unconditional_paths 72 trail=true'. Measured on September 11 at 06:09 UTC, this is a seed 91106 historical report from 2024 to 2025, with training and holdout data from January 1, 2026, to September 11. The report uses 365-day path sources, moving blocks of 1, 24, and 72 hours, with a 20-day horizon and 10,000 paths each. The report does not use channel or breakout conditioning. It uses trade bootstrap 20k IID and HAC regression with 7 lags, including beta, intercept, trend, SMA50, high RV, and cross. RV is 20 annual sqrt 365, with training median. The report includes the following data for the symbol ETH: it is an unconditional paths kind, with 72 block hours, 10,000 paths, 8542 blocks available, and trailing is true. The horizon hours are 480, risk percentage is 7.1348456366, target up percentage is 24.2168818581, net stop percentage is 7.783209201, stop percentage is 76.08, target percentage is 5.43, timeout percentage is 18.49, mean net is -2.2590264742, p05 net is -9.5375771784, p95 net is 23.4120884908, worst net is -12.2292910115, and p loss is 70.26. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: Measured on September 11 at 06:09 UTC, using a seed from September 11, 2024-2025 training data and 2026 January 1 to September 11 holdout data. The path source is 365 days, with moving blocks of 1, 24, and 72 hours, a 20-day horizon, and 10,000 paths each. The system uses static and trail share paths, with no channel or breakout conditioning. It trades using a bootstrap of 20,000 independent and identically distributed samples, with a regression of 7 lags: beta equals intercept, trend greater than simple moving average 50, high realized volatility, and cross, with parameters pp. Realized volatility is calculated as the square root of 365 times the annual volatility, using the training median. The data includes the following information: symbol is ETH, kind is unconditional paths, block hours is 72, paths is 10,000, blocks available is 8,542, trailing is false, horizon hours is 480, risk percentage is 7.1348456366, target up percentage is 24.2168818581, net stop percentage is 7.783209201, stop percentage is 65.84, target percentage is 6.89, timeout percentage is 27.27, mean net is -2.3865504173, 5th percentile net is -9.5508145958, 95th percentile net is 23.6350173901, worst net is -12.2292910115, and probability of loss is 72.48. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data line: Measured on September 11 at 06:09 UTC, a trading system used historical data from 2024 to 2025 for training and from January 1, 2026, to September 11, 2026, as a holdout period. The system generated 10,000 paths, or possible price movements, for each of three time blocks: 1 hour, 24 hours, and 72 hours, with a 20-day horizon. The system used a type of analysis called bootstrap, which is a method of estimating the uncertainty of a prediction, and a type of regression called HAC, which is a way of accounting for the correlation between consecutive data points, with 7 lags, or previous data points. The system also used a measure of volatility called RV, or realized volatility, which is a measure of the spread of price movements, and a moving average, which is a way of smoothing out price movements, specifically the SMA50, which is the average price over the last 50 data points. The system's parameters were: symbol ETH, kind unconditional paths, block hours 24, paths 10,000, blocks available 8,686, trailing true, horizon hours 480, risk percentage 7.1348456366, target up percentage 24.2168818581, net stop percentage 7.783209201, stop percentage 76.28, target percentage 5.94, timeout percentage 17.78, mean net -1.9727945737, 5th percentile net -9.4815618464, 95th percentile net 23.4826972173, worst net -12.4434273352, and probability of loss 69.04. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line for ETH/USD on September 11, 2024, at 06:09 UTC. The data used a seed from September 11, 2024, and historical data from 2024 to 2025 for training, and from January 1, 2026, to September 11, 2026, as a holdout. The path source used 365 days of data, with moving blocks of 1, 24, and 72 hours, a 20-day horizon, and 10,000 paths each. The data did not use channel or breakout conditioning. A trade bootstrap of 20,000 independent and identically distributed samples was used, with a HAC regression of 7 lags: beta equals intercept, trend greater than SMA50, high RV, and cross. RV is a measure of risk, or volatility, and RV20 annual sqrt 365 is a way to calculate it, using the training median. The data included the following parameters: symbol is ETH, kind is unconditional paths, block hours is 24, paths is 10,000, blocks available is 8,686, trailing is false, horizon hours is 480, risk percentage is 7.1348456366, target up percentage is 24.2168818581, net stop percentage is 7.783209201, stop percentage is 64.88, target percentage is 7.74, timeout percentage is 27.38, mean net is -2.0832475378, p05 net is -9.5010080883, p95 net is 23.6918595623, worst net is -12.4434273352, and p loss is 71.58. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the report for ETH/USD with the following details: Measured on September 11 at 06:09 UTC, using a seed of 91106 and historical data from 2024 to 2025 for training, and from January 1, 2026, to September 11 for holdout. The path source is 365 days, with moving blocks of 1, 24, and 72 hours, and a 20-day horizon, with 10,000 paths each. The report includes static and trail share paths, with no channel or breakout conditioning. It uses trade bootstrap of 20,000 independent and identically distributed samples, and HAC regression with 7 lags, including beta, intercept, trend, SMA50, high RV, and cross. The RV is 20 annual sqrt 365, with training median. The report also includes the following data: symbol is ETH, kind is unconditional paths, block hours is 1, paths is 10,000, blocks available is 8,755, trailing is true, horizon hours is 480, risk percentage is 7.1348456366, target up percentage is 24.2168818581, net stop percentage is 7.783209201, stop percentage is 77.83, target percentage is 5.24, timeout percentage is 16.93, mean net is -1.8769213967, p05 net is -9.2164021387, p95 net is 23.386586588, worst net is -12.8219956361, and p loss is 68.21. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: Measured on September 11 at 06:09 UTC, a trading simulation used historical data from 2024 to 2025 for training and data from January 1, 2026, to September 11, 2026, for testing. The simulation used 365 days of data, divided into blocks of 1, 24, and 72 hours, with a 20-day horizon and 10,000 paths for each block. The simulation did not use a trailing stop and did not consider channel or breakout conditions. It used a trade bootstrap method with 20,000 independent and identically distributed samples and a regression method with 7 lags. The simulation results included the following statistics for the ETH symbol: 10000 paths, 8755 blocks available, no trailing stop, 480-hour horizon, 7.1348456366% risk, 24.2168818581% target up percentage, 7.783209201% net stop percentage, 64.65% stop percentage, 7.28% target percentage, 28.07% timeout percentage, -2.0084430231 mean net, -9.2246735447 5th percentile net, 23.5809208031 95th percentile net, -12.8219956361 worst net, and 71.05% probability of loss. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a conditional trade bootstrap for BTC/USD on September 11, with a seed of 91106. The trade used historical data from 2024 to 2025 for training and from January 1, 2026, to September 11, 2026, as a holdout. The data was sourced from the past 365 days, with moving blocks of 1, 24, and 72 hours, and a 20-day horizon, using 10,000 paths each. The trade bootstrap used 20,000 independent and identically distributed draws, with a regression of 7 lags, including an intercept, trend, simple moving average of 50, high realized volatility, and cross, with realized volatility calculated as the square root of the annualized volatility over 365 days, using the training median. The results included a mean of 1.4019896435, an average win of 6.087821562, and an average loss of 3.283842275, with a mean confidence interval of -2.659057556 to 6.3478628236, and a positive mean percentage of 70.195. The half wealth was 0.5, the full notional was 117.93, the quarter probe was 29.4825, the terminal loss percentage was 31.49, the terminal 5th percentile was -6.6750882285, the terminal 95th percentile was 17.6016500531, and the excess return over the best alternative was -4.8952899237, with an actual notional of 0. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD C91106 conditional_trade_bootstrap daily trail=undefined'. Measured on September 11 at 06:09 UTC, this is a seed for 91106 with historical data from 2024 to 2025 for training and from 2026 January 1 to September 11 for holdout. The path source is 365 days with moving blocks of 1, 24, and 72 hours and a 20-day horizon with 10,000 paths each. This uses static and trail share paths with no channel or breakout conditioning. The trade bootstrap is 20,000 IID with HAC regression of 7 lags, including beta with intercept, trend greater than SMA50, high RV, and cross. RV is 20 annual sqrt 365, with training median. The results are for the symbol BTC, with a conditional trade bootstrap on a daily time frame, 6 periods, 20,000 draws, a win rate of 33.3333333333%, a mean of -0.2530047809, an average win of 9.890046524, and an average loss of 5.3245304333. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the trade details for BTC/USD. Measured on September 11 at 06:09 UTC, the seed is 91106. The historical data used for training is from 2024 to 2025, and the holdout period is from January 1, 2026, to September 11, 2026. The path source is 365 days, with moving blocks of 1, 24, and 72 hours, and a 20-day horizon, with 10,000 paths each. The trade uses a bootstrap of 20,000 independent and identically distributed samples, and a regression with 7 lags. The beta is calculated using the intercept, trend, simple moving average of 50, high realized volatility, and cross. The realized volatility is annualized, with the square root of 365, and the training median is used. The trade parameters are as follows: symbol is BTC, kind is unconditional paths, block hours is 72, paths is 10,000, blocks available is 8,615, trailing is true, horizon hours is 480, risk percentage is 5.9137499154, target up percentage is 20.5535946945, net stop percentage is 6.5706388947, stop percentage is 66.44, target percentage is 3.53, timeout percentage is 30.03, mean net is -1.7357991969, 5th percentile net is -7.7296485827, 95th percentile net is 14.0876888515, worst net is -10.0207866483, and probability of loss is 67.74. https://runway.adityaperswal.workers.dev/data/crypto-bars

A measurement was taken on September 11 at 06:09 UTC. The analysis used historical data from 2024 to 2025 for training and from January 1, 2026, to September 11, 2026, as a holdout. The data was divided into blocks of 1, 24, and 72 hours, with a 20-day horizon and 10,000 paths for each block. The analysis did not use trailing stops or channel and breakout conditioning. It used a trade bootstrap of 20,000 independent and identically distributed samples and a HAC regression with 7 lags. The beta values were calculated using the intercept, trend, simple moving average of 50, high realized volatility, and cross values. The realized volatility was calculated as the square root of the annualized volatility over 365 days, using the median of the training data. The results showed the following values for the BTC symbol: block hours of 72, 10,000 paths, 8615 available blocks, no trailing stops, a horizon of 480 hours, a risk percentage of 5.9137499154, a target up percentage of 20.5535946945, a net stop percentage of 6.5706388947, a stop percentage of 58.98, a target percentage of 3.98, a timeout percentage of 37.04, a mean net value of -1.8005171633, a 5th percentile net value of -7.73656552, a 95th percentile net value of 15.8848384567, a worst net value of -10.0207866483, and a probability of loss of 68.85. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD C91106 unconditional_paths 24 trail=true'. Measured on September 11 at 06:09 UTC, the seed is 91106. The historical data used for training is from 2024 to 2025, and the holdout period is from January 1, 2026, to September 11, 2026. The path source is 365 days, with moving blocks of 1, 24, and 72 hours, and a 20-day horizon with 10,000 paths each. The static and trail share paths, with no channel or breakout conditioning. The trade bootstrap is 20,000 IID, with HAC regression of 7 lags, including beta, which is the intercept, trend, SMA50, high RV, and cross. RV is the annualized standard deviation of daily returns, calculated as the square root of 365 times the variance of daily returns, with a training median of 20 days. The parameters are as follows: the symbol is BTC, the kind is unconditional paths, the block hours are 24, the number of paths is 10,000, the number of blocks available is 8,711, and trailing is true. The horizon hours are 480, the risk percentage is 5.9137499154, the target up percentage is 20.5535946945, the net stop percentage is 6.5706388947, the stop percentage is 69.5, the target percentage is 3.13, the timeout percentage is 27.37, the mean net is -1.8802693988, the 5th percentile net is -7.7490236877, the 95th percentile net is 13.2391782227, the worst net is -10.9039859194, and the probability of loss is 68.28. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following trade details: Measured on September 11 at 06:09 UTC, using a seed from September 11, 2024, and historical data from 2024 to 2025, with a holdout period from January 1, 2026, to September 11, 2026. The system used 365 days of path sources, with moving blocks of 1, 24, and 72 hours, a 20-day horizon, and 10,000 paths each. It did not use a trailing stop, which is a stop-loss order that moves as the price moves, and did not condition on channels or breakouts. The trade used a bootstrap method with 20,000 independent and identically distributed, or IID, samples, and a regression analysis with 7 lags, which is a way of analyzing how values change over time. The beta values, which measure the relationship between the stock and the market, were calculated using the intercept, trend, simple moving average, or SMA, of 50 days, high risk or volatility, and cross, which refers to the relationship between two or more variables. The risk or volatility was calculated as the annualized standard deviation, or sqrt, of 365 days, and the training median. The trade parameters were as follows: the symbol was BTC, the kind was unconditional paths, the block hours were 24, the number of paths was 10,000, the number of blocks available was 8,711, and trailing was set to false. The horizon hours were 480, the risk percentage was 5.91, the target up percentage was 20.55, the net stop percentage was 6.57, the stop percentage was 60.2, the target percentage was 3.89, the timeout percentage was 35.91, the mean net was -1.91, the 5th percentile net was -7.75, the 95th percentile net was 15.36, the worst net was -10.90, and the probability of loss was 69.45. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following trade details for BTC/USD: Measured on September 11 at 06:09 UTC, using a seed from September 11, 2024-2025 training data and 2026 January 1 to September 11 holdout data. The path source is 365 days, with moving blocks of 1, 24, and 72 hours, and a 20-day horizon, with 10,000 paths each. The trade uses static and trailing share paths, with no channel or breakout conditioning. It also uses trade bootstrap with 20,000 independent and identically distributed samples, and HAC regression with 7 lags, including beta, which is a measure of volatility, with intercept, trend, SMA50, high RV, and cross, where RV is risk volatility and SMA50 is a 50-day simple moving average. The RV is 20 annualized, square root of 365, and training median. The trade parameters are as follows: symbol is BTC, kind is unconditional paths, block hours is 1, paths is 10,000, blocks available is 8,757, trailing is true, horizon hours is 480, risk percentage is 5.9137499154, target up percentage is 20.5535946945, net stop percentage is 6.5706388947, stop percentage is 70.17, target percentage is 3.43, timeout percentage is 26.4, mean net is -1.7225428557, p05 net is -7.5738029769, p95 net is 13.8121158005, worst net is -10.7975429344, and p loss is 67.75. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: Measured on September 11 at 06:09 UTC, a trading analysis was done using historical data from 2024 to 2025 for training and from January 1, 2026, to September 11, 2026, as a holdout. The analysis used 365 days of path data with moving blocks of 1, 24, and 72 hours, a 20-day horizon, and 10,000 paths each. The analysis did not use trailing stops or channel and breakout conditioning. It used a trade bootstrap of 20,000 independent and identically distributed samples and a regression with 7 lags. The beta values were based on the intercept, trend, simple moving average of 50, high realized volatility, and cross values. The realized volatility was calculated over 20 days, annualized, and then square rooted over 365 days, with a training median. The analysis found the following results for the BTC symbol: block hours of 1, 10,000 paths, 8,757 blocks available, no trailing stops, a horizon of 480 hours, a risk percentage of 5.9137499154, a target up percentage of 20.5535946945, a net stop percentage of 6.5706388947, a stop percentage of 60.14, a target percentage of 4.08, a timeout percentage of 35.78, a mean net of -1.7933383413, a 5th percentile net of -7.5813274889, a 95th percentile net of 16.1416176424, a worst net of -10.7975429344, and a probability of loss of 69.24. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line for SOL/USD: On September 11, the 05:00 UTC hour closed at 06:00 UTC, with the native day of September 10 being complete. The annualized 20 daily log return standard deviation is calculated using the square root of 365. The training median is from 2024 to 2025. Full metadata was fetched, with 986 exact metadata separate, and native daily data having no gaps, while hourly data had some missing values, which were accepted for the 2024 to September 11 window. The data includes the symbol SOL, with an hour of 2026-09-11 05:00:00+00:00, a close price of 99.8787, a threshold of 110.5357, and a signal of false, among other details. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'ETH/USD C91106 completed-hour entry and completed-day regime'. On September 11, at 05:00 UTC, the ETH/USD trading hour closed at 06:00 UTC, with the native day of September 10 being complete. The annualized 20 daily log return standard deviation is the square root of 365, with a training median of 2024-25. The full fetched data has 986 entries, with exact metadata separate, and native daily data has no gaps, while hourly data has some missing values, which were accepted in the 2024-September 11 window. The ETH symbol had a close price of 2467.145 at 2026-09-11 05:00:00 UTC, with a threshold of 2565.9, and a signal of false, and a distance of 4.002804861489695. The average true range, or atr, was 88.01349369021425, and the realized volatility, or rv, was 0.3916990382209099, with a training rv median of 0.6430540546546762. The highvol indicator was false, the trend indicator was true, and the slope indicator was true, with a 50-day simple moving average, or sma50, of 2147.8572900000004, and a daily close of 2436.8075, with 4 hour missing values and 0 daily missing values. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line for the BTC/USD trading pair on September 11. The hour from 05:00 UTC to 06:00 UTC closed, and the native day of September 10 is complete. The annualized standard deviation of daily log returns is calculated by taking the square root of 365. The training data uses the median from 2024 to 2025. The data fetched is 986, with exact metadata separate. The native daily data has no gaps, and the hourly data with missing values is accepted for the 2024 to September 11 window. The symbol is BTC, with an hour of 2026-09-11 05:00:00+00:00, a close price of 77229.185, and a threshold of 82233.502538071. The signal is false, with a distance of 6.4798269437531975, an average true range (atr) of 2283.5704312907837, and a realized volatility (rv) of 0.3400945459873042. The training rv median is 0.43645444175668147, high volume is false, trend is true, slope is true, the simple moving average (sma50) is 70403.34736, daily close is 76535.875, hour missing is 4, and daily missing is 0. https://runway.adityaperswal.workers.dev/data/crypto-bars