A backtest of the SOL/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231 and data from January 1, 2024, to September 11, 2026. The test reused the 2026 holdout period, which means it did not use new, independent data to validate the results. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results for the hourly strategy are as follows: the symbol was SOL, the period was the reused holdout, the start date was January 1, 2026, and the end date was September 11, 2026. The slip was set to 20 basis points, and the trail was set to true. The return was -0.0344, the maximum drawdown was 25.13, the win rate was 33.33, the number of trades was 6, and the mean return was 0.4597. For comparison, a buy-and-hold strategy would have returned -20.25. The reconcile value was 4.440892099e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the SOL/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231 and data from January 1, 2024, to September 11, 2026. The test reused the 2026 holdout period, which means it did not use new independent validation data. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results showed a return of -3.7121%, a maximum drawdown of 25.129%, and a win rate of 33.333%. The test included 6 trades, with a mean return of -0.2046%. For comparison, a buy-and-hold strategy would have returned -20.253%. The reconcile value was 3.3307e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the SOL/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231, based on a request from January 1, 2024, to September 11, 2026, at 06:00 UTC, with a backtest cutoff at 00:00 UTC. The 2026 holdout period was reused, meaning no new independent validation was done. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results showed a return of 1.1725, a maximum drawdown of 24.53, and a win rate of 33.33, with a mean of 0.6609. The test used a 10 basis point slip, which is a measure of the difference between expected and actual trade prices, and a trailing stop, which is a stop-loss order that moves as the price moves. The test ran from January 1, 2026, to September 11, 2026, and consisted of 6 trades. For comparison, a buy-and-hold strategy would have resulted in a return of -20.25.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the SOL/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231 and data from January 1, 2024, to September 11, 2026. The test reused the 2026 holdout period, which means it did not use new, independent data to validate the results. The test accounted for all costs and raw fills to a high degree of accuracy, with a reconciliation error of 1e-10. The test results showed a return of -2.5497%, a maximum drawdown of 24.53%, and a win rate of 33.33%. The test included 6 trades, with a mean return of -0.0048%. For comparison, a buy-and-hold strategy would have resulted in a return of -20.25%. The test was run with a 10 basis point slip, which is a measure of the difference between the expected and actual price of a trade, and without a trailing stop, which is a strategy to limit losses. The reconcile value of 1.110223025e-16 indicates a very small difference between the expected and actual results.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the SOL/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231, based on a source request from January 1, 2024, to September 11, 2026, at 06:00 UTC, with a backtest cutoff at 00:00 UTC. The 2026 holdout data was reused, with no new independent validation. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results for the hourly training period from January 1, 2024, to January 1, 2026, showed a return of -2.8397%, a maximum drawdown of 33.7744%, a win rate of 33.3333%, and a mean of 0.3512%. The test used a 20 basis point slip and a trailing stop, with a total of 12 trades. For comparison, a buy-and-hold strategy would have given a return of 587.7342%. The reconcile value was 3.3307e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'SOL/USD C91106 costed backtest hourly train 20bp trail=false'. This is a data line about a backtest, which is a test of a trading strategy using past data. Measured on September 11 at 06:08 UTC, the test used a frozen specification note 2231 and a source request from January 1, 2024, to September 11, 2026, at 06 UTC, with a backtest cutoff at 00 UTC. The 2026 holdout, which is a set of data used to evaluate the strategy, was reused, with no new independent validation. All costs and raw fills, which are the actual trades made, were reconciled to 1e-10, meaning they were matched very closely. The test results were as follows: the symbol was SOL, the time frame was hourly, the period was train, the start date was January 1, 2024, at 00:00:00 UTC, and the end date was January 1, 2026, at 00:00:00 UTC. The slip, which is the difference between the expected and actual price of a trade, was 20 basis points, and the trail, which is a type of stop-loss order, was set to false. The return was -8.6428140727, the drawdown, which is the maximum loss, was 40.0221688177, the win rate was 33.3333333333, the number of trades was 12, the mean return was 0.3522172469, and the buy and hold return, which is the return if the asset was simply bought and held, was 587.734243877. The reconcile value, which measures the accuracy of the test, was 4.440892099e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the SOL/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231, based on a source request from January 1, 2024, to September 11, 2026, at 06:00 UTC, with a backtest cutoff at 00:00 UTC. The 2026 holdout data was reused, with no new independent validation. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results showed a return of -0.4797%, a maximum drawdown of 32.97%, a win rate of 33.33%, and a mean of 0.5521%. The buy and hold strategy return was 587.73%. The reconcile value was 2.2204e-16. The test used a 10 basis point slip and a trailing stop, with a total of 12 trades.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest was measured from September 11 to 06:08 UTC. The test used a frozen specification and data from January 1, 2024, to September 11, 2026. The test did not include new independent validation, instead reusing the 2026 holdout data. All costs and fills were reconciled to a precision of 1e-10. The test results for the SOL symbol on an hourly basis are as follows: the return was -6.4237 percent, the maximum drawdown was 39.0548 percent, the win rate was 33.3333 percent, the number of trades was 12, and the mean trade return was 0.5531. The return from a buy and hold strategy was 587.7342. The reconcile value was 2.2204e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the SOL/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231, which was based on a request from January 1, 2024, to September 11, 2026, at 06:00 UTC, with a backtest cutoff at 00:00 UTC. The test reused the 2026 holdout period, which means it did not use new independent validation data. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results for the daily trading period from January 1, 2026, to September 11, 2026, were as follows: the symbol was SOL, the return was -9.3111810025 percent, the maximum drawdown was 32.4049910308 percent, the win rate was 16.6666666667 percent, the number of trades was 6, and the mean return was -0.8370456351. The buy and hold return was -18.4059745839 percent, and the reconcile error was 3.330669074e-16. The test used a 20 basis point slip and a trailing stop, which is a stop-loss order that moves with the price of the asset, set to true.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the SOL/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231 and data from January 1, 2024, to September 11, 2026. The test reused the 2026 holdout period, which means it did not use new independent validation data. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results showed a return of -9.3111810025%, a maximum drawdown of 32.4049910308%, and a win rate of 16.6666666667%. The test had 6 trades, with a mean return of -0.8370456351%. For comparison, a buy-and-hold strategy would have had a return of -18.4059745839%. The reconcile value was 3.330669074e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the SOL/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231 and data from January 1, 2024, to September 11, 2026. The test reused the 2026 holdout period, which means it did not use new independent validation data. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results showed a return of -8.2163568127%, a maximum drawdown of 31.7937863791%, and a win rate of 16.6666666667%. The test had 6 trades, with a mean return of -0.6385208045%. For comparison, a buy-and-hold strategy would have had a return of -18.4059745839%. The reconcile value was 1.110223025e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the SOL/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231, which was based on a request from January 1, 2024, to September 11, 2026, at 06:00 UTC, with a backtest cutoff at 00:00 UTC. The 2026 holdout period was reused, meaning no new independent validation was done. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results for the daily period from January 1, 2026, to September 11, 2026, were as follows: the symbol was SOL, the return was -8.2163568127, the maximum drawdown was 31.7937863791, the win rate was 16.6666666667, the number of trades was 6, and the mean return was -0.6385208045. For comparison, a buy-and-hold strategy would have resulted in a return of -18.4059745839. The reconcile value was 1.110223025e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the SOL/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification and data from January 1, 2024, to September 11, 2026. The test reused the 2026 holdout data and did not use new independent validation. All costs and raw fills were reconciled to 1e-10 precision. The test results showed a return of 26.93%, a maximum drawdown of 27.31%, and a win rate of 44.44%. The test had 9 trades, with a mean trade duration of 4.04 days. The buy-and-hold return was 588.37. The reconcile value was 2.220446049e-16. The test used a daily time frame, a 20 basis point slip, and a trailing stop, which is a stop-loss order that moves with the price of the asset, set to true.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest was measured from September 11 to 06:08 UTC. The test used a frozen specification and data from January 1, 2024, to September 11, 2026. The test did not include new independent validation, instead reusing the 2026 holdout data. All costs were accounted for with a high degree of accuracy, to 1e-10 precision. The test results for the SOL symbol, using daily data, from January 1, 2024, to January 1, 2026, with a 20 basis point slip, and no trailing, showed a return of 18.9745 percent, a maximum drawdown of 31.8616 percent, a win rate of 44.4444 percent, and 9 trades, with a mean of 3.2433. The buy and hold return was 588.3739. The reconcile result was 2.2204e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231, based on a request for data from January 1, 2024, to September 11, 2026, at 06:00 UTC, with a backtest cutoff at 00:00 UTC. The 2026 holdout data was reused, with no new independent validation. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results for the SOL/USD daily train from January 1, 2024, to January 1, 2026, with a 10 basis point slip and a trailing stop, showed a return of 29.23%, a maximum drawdown of 27.02%, a win rate of 44.44%, and 9 trades, with a mean trade result of 4.25%. The buy and hold return was 588.37%. A basis point is a unit of measurement, equal to 0.01%, used to express the percentage change in a financial instrument's value.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231, based on a source request from January 1, 2024, to September 11, 2026, at 06 UTC, with a backtest cutoff at 00 UTC. The 2026 holdout was reused, with no new independent validation. All costs and raw fills were reconciled to 1e-10. The test results for the SOL symbol, using daily data, from January 1, 2024, to January 1, 2026, with a 10 basis point slip, and no trailing, showed a return of 21.14%, a maximum drawdown of 31.59%, a win rate of 44.44%, 9 trades, a mean of 3.45, and a buy and hold return of 588.37. The reconcile result was 8.88e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the ETH/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231, which was based on a request from January 1, 2024, to September 11, 2026, at 06:00 UTC, with a backtest cutoff at 00:00 UTC. The 2026 holdout period was reused, meaning no new independent validation was done. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results for the hourly strategy on the reused holdout period from January 1, 2026, to September 11, 2026, were as follows: the symbol was ETH, the return was 15.84%, the maximum drawdown was 19.99%, the win rate was 66.67%, the number of trades was 6, and the mean return was 2.67%. For comparison, a buy-and-hold strategy would have resulted in a return of -17.60%. The reconcile value, which measures the accuracy of the test, was 2.220446049e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the ETH/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231 and data from January 1, 2024, to September 11, 2026. The test reused the 2026 holdout period, which means it did not use new, independent data to validate the results. All costs and raw data were reconciled to ensure accuracy. The test results are as follows: the symbol tested was ETH, the time frame was hourly, and the period was the reused holdout period from January 1, 2026, to September 11, 2026. The slip, or the difference between the expected and actual price, was 20 basis points, and the trail, a type of stop-loss order, was set to false. The return on investment was 15.84%, the maximum drawdown, or loss, was 19.99%, and the win rate was 66.67%. There were 6 trades, with a mean return of 2.67%. For comparison, a buy-and-hold strategy would have resulted in a return of -17.60%. The reconcile value, which measures the difference between the expected and actual results, was 2.22e-16, indicating a high degree of accuracy.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the ETH/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231 and data from January 1, 2024, to September 11, 2026. The test reused the 2026 holdout period, which means it did not use new, independent data to validate the results. All costs and raw trade fills were reconciled to an accuracy of 1e-10, which is a very small number. The test results showed a return of 17.24%, a maximum drawdown of 19.83%, and a win rate of 66.67%. The test made 6 trades, with a mean trade return of 2.87%. For comparison, a buy-and-hold strategy would have lost 17.60% over the same period. The term 'drawdown' refers to the largest loss from a peak to a trough, and'reconciled' means that the numbers were checked for accuracy. The'slipbp' of 10 refers to a 10 basis point cost, which is a measure of the cost of trading, and 'trail' refers to a type of stop-loss order. The results also showed a reconciliation error of 7.771561172e-16, which is extremely small.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the ETH/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231, which was based on a request from January 1, 2024, to September 11, 2026, at 06:00 UTC, with a backtest cutoff at 00:00 UTC. The 2026 holdout period was reused, meaning no new independent validation was done. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results showed a return of 17.24%, a maximum drawdown of 19.83%, and a win rate of 66.67% over 6 trades, with a mean trade result of 2.87%. For comparison, a buy-and-hold strategy would have resulted in a return of -17.60%. The reconcile value, which measures the accuracy of the test, was 7.77e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231, based on a source request from January 1, 2024, to September 11, 2026, at 06:00 UTC, with a backtest cutoff at 00:00 UTC. The 2026 holdout was reused, with no new independent validation. All costs and raw fills were reconciled to 1e-10 precision. The test results for the ETH symbol, using hourly data, in the training period, from January 1, 2024, to January 1, 2026, showed a return of 28.28%, a drawdown of 40.56%, a win rate of 47.37%, with 19 trades, and a mean of 2.11. The buy and hold return was 30.19%. The slip was set at 20 basis points, and the trail was set to true.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest was measured from September 11 to 06:08 UTC. The test used a frozen specification note 2231 and a source request from January 1, 2024, to September 11, 2026, at 06:00 UTC, with a backtest cutoff at 00:00 UTC. The 2026 holdout was reused, with no new independent validation. All costs and raw fills were reconciled to 1e-10. The test results for the ETH symbol, using hourly data, in the training period, from January 1, 2024, to January 1, 2026, showed a return of 56.68%, a drawdown of 37.68%, 50% of trades were winning, with 18 trades in total, and a mean of 3.46. The buy and hold return was 30.19%. The slip, or the difference between expected and actual trade price, was set at 20 basis points, and trailing, which means adjusting the stop loss as the trade moves in the desired direction, was set to false.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the ETH/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a frozen specification from note 2231 and data from January 1, 2024, to September 11, 2026, at 06:00 UTC. The backtest cutoff was set at 00:00 UTC. The 2026 holdout data was reused, with no new independent validation. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results showed a return of 33.25%, a maximum drawdown of 39.72%, a winning percentage of 47.37%, and 19 trades. The mean trade return was 2.31%. For comparison, a buy-and-hold strategy would have returned 30.19%.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A backtest of the ETH/USD trading strategy was measured from September 11 to 06:08 UTC. The specification note 2231 was frozen. The test used data from January 1, 2024, to September 11, 2026, at 06:00 UTC, with a backtest cutoff at 00:00 UTC. The 2026 holdout data was reused, with no new independent validation. All costs and raw fills were reconciled to 1e-10 precision. The test results for the hourly training period from January 1, 2024, to January 1, 2026, showed a return of 62.42%, a maximum drawdown of 37.24%, and a winning percentage of 50%, with 18 trades, a mean return of 3.67%, and a buy-and-hold return of 30.19%. The slip was set at 10 basis points and trailing was set to false.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A test of the ETH/USD trading strategy was measured on September 11 at 06:08 UTC. The test used a set of rules, called a specification, that was frozen and noted as note2231. The test data came from a request made on January 1, 2024, and was accepted up to September 11, 2026, at 00:00 UTC. The test reused a holdout period from 2026, which means it did not use new, independent data to validate the results. All costs and raw trade fills were checked to make sure they were accurate to 1e-10, which is a very small number. The test results showed that the strategy had a return of -18.45%, a maximum drawdown of 27.86%, and 20% winning trades. The strategy made 5 trades, with a mean return of -3.71%. For comparison, a buy-and-hold strategy would have had a return of -16.77%. The results were reconciled, or checked, and the difference was very small, at 5.551115123e-16.
https://runway.adityaperswal.workers.dev/data/crypto-bars