A news scan found the headline 'SOL/USD C91104 full-native daily/daily holdout trail0 slip10'. This refers to a trading strategy for the SOL/USD currency pair. Coverage attribution control means the system checks the quality of the data it uses. It keeps daily data even if the hourly data for that day is incomplete. The strategy uses specific rules, including a high and low price threshold, a measure of price volatility called 2ATR14, and a fixed target for profits and losses. It also credits fees of 25 basis points and has a 20-day timeout. The system checks the next timestamp open and uses a trail of 2ATR if enabled. The strategy was trained on data from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results show a return of -8.216356812719727, a drawdown of 31.793786379107793, and a win rate of 16.666666666666664. The average win was 27.06562348160628 and the average loss was 6.179349661737919. The results match another system called vectorbt, with no missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'SOL/USD C91104 full-native daily/daily train trail1 slip20'. This is a report about a trading system for the cryptocurrency SOL/USD. The system controls how it uses data, keeping daily data even if hourly data is incomplete. It uses specific rules, including a high and low price freeze, a 14-day average true range, a fixed return target, and fees. The system also has a 20-day time limit and checks the next open timestamp. If enabled, it uses a 2RBE entry and a 2ATR trail. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results show a return of 26.93%, a drawdown of 27.31%, and a win rate of 44.44%. The average win was 21.54% and the average loss was 9.96%. The results match another system, vectorbt, with a high degree of accuracy, and there are no missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'SOL/USD C91104 full-native daily/daily train trail1 slip10'. This refers to a trading strategy for the SOL/USD currency pair. The strategy has a coverage attribution control, which means it keeps daily data even if hourly data is incomplete. It uses specific rules, including a high and low price freeze, a 14-day average true range, and a fixed 10 basis point target. The strategy also credits fees of 25 basis points and has a 20-day timeout. Additionally, it checks for the next timestamp open and uses a 2RBE entry with a 2ATR trail if enabled. The strategy was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026, with a holdout period at 00 UTC. The results show a return of 29.23%, a drawdown of 27.02%, and a win rate of 44.44%. The average win was 21.79% and the average loss was 9.78%. There were no zero-volume entries or exits. The raw wealth returns match the vectorbt returns at 1e-10, with no fictitious missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'SOL/USD C91104 full-native daily/daily train trail0 slip20'. This is a report about a trading system for the cryptocurrency SOL/USD. The system controls how it attributes coverage, which means it decides how to use the available data. It keeps the daily data even if the hourly data is incomplete. The system uses specific rules, including a high and low price limit, a volatility measure called 2ATR14, and a fixed target for profits and losses. It also charges fees of 25 basis points, which is a way to measure a small percentage, and has a 20-day time limit. Additionally, it checks the next timestamp open and uses a trail system if enabled. The system was trained on data from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results show a return of 18.9745%, a drawdown of 31.8616%, and a win rate of 44.4444%. The system made an average profit of 19.7532% and an average loss of 9.9647%. The results match another system called vectorbt, and there are no missing or fictional hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'SOL/USD C91104 full-native daily/daily train trail0 slip10'. This is a report about a trading system for the cryptocurrency SOL/USD. The system controls how it uses data, keeping daily data even if hourly data is incomplete. It uses specific rules, including a high and low price limit, a volatility measure called 2ATR14, and a fixed target for profits and losses. The system also has a 20-day time limit and checks the next open time. If enabled, it uses a trailing stop loss. The system was trained on data from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results show a return of 21.14%, a drawdown of 31.59%, and a win rate of 44.44%. The average win was 19.99% and the average loss was 9.78%. The results match another system called vectorbt, with no missing or fake data.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline about an automated trading fund manager's notes for ETH/USD. The notes are about a trading strategy. Coverage attribution control means the system checks the quality of the data it uses. It keeps daily data even if some hourly data is missing. The strategy uses specific rules, including a 20-point high and 10-point low, a 14-day average true range, and a 10-point target. It also credits fees of 25 basis points and has a 20-day timeout. The system checks the next timestamp open and uses a 2-times risk entry and 2-times average true range trail if enabled. The strategy was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results are for the ETH symbol, using native full data, with a calendar signal and hourly execution, and are part of a holdout trail with a 20-basis-point slip. The return was 5.83210523239055, the drawdown was 19.99037636096377, and the win rate was 42.857142857142854, based on a sample of 7. The mean was 1.004172697799864, the average win was 6.542782406826649, and the average loss was 3.149784583970225. There were no zero-volume entries or exits. The wealth returns match vectorbt at 1e-10, and there are no fictitious missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A trading strategy for ETH/USD, which is a cryptocurrency pair, used a control system to ensure that daily data was accurate even if hourly data was incomplete. The strategy used specific rules, including a 20-day high and 10-day low, a 14-day average true range, a fixed 10 basis point target, and a 25 basis point fee. It also had a 20-day timeout and checked for the next timestamp open. If enabled, it used a 2RBE entry and a 2ATR trail. The strategy was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026, with a holdout period. The results showed a return of 7.324178328316044, a drawdown of 19.830196613578764, and a win rate of 42.857142857142854. The average win was 6.756081697529592 and the average loss was 2.9558898706354. There were no instances of zero volume entries or exits. The results matched another system, vectorbt, to a high degree of accuracy, with no fictional or missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'ETH/USD C91104 full-native calendar/hourly holdout trail0 slip20'. Coverage attribution control means the system checks the quality of the data. It keeps the daily data even if the hourly data is incomplete. The system uses certain rules: it looks at the highest and lowest prices over 20 days, and it uses a measure called ATR, or average true range, over 14 days. It also has a fixed target for profit and credits fees of 25 basis points. The system times out after 20 days and checks the next open time. If a certain condition is met, it uses a 2 ATR trail. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results for the symbol ETH are as follows: the system made a return of 10.971475880480085 percent, had a drawdown of 19.99037636096377 percent, and won 33.33333333333333 percent of the time. The sample size was 6, the mean was 2.019162406864133, the average win was 12.35705638853285, and the average loss was 3.149784583970225. There were no instances of zero volume entries or exits. The results match another system called vectorbt with a high degree of accuracy, and there are no missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline about an automated trading fund manager's notes for ETH/USD. The notes are about a trading strategy with specific rules. The strategy checks for valid daily data even if hourly data is incomplete. It uses a fixed target and fees, and it has a 20-day timeout. The strategy also checks for the next timestamp open and uses a trail if enabled. The strategy was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results show a return of 12.311158737924988, a drawdown of 19.830196613578764, and a win rate of 33.33333333333333. The average win is 12.58199589069109 and the average loss is 2.9558898706354. The results match another system called vectorbt with a small difference of 1e-10. There are no missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A trading system for ETH/USD has a control that keeps daily data even if hourly data is incomplete. It uses a fixed target and fees, and checks for certain conditions before making trades. The system was trained from 2024 to 2025 and tested from January 1, 2026, to September 11, 2026. The test results show a return of 35.69%, a drawdown of 39.52%, and a win rate of 50%. The average win was 14.01% and the average loss was 9.33%. The system had no missing hour fills and its results match another system called vectorbt.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A trading system has rules to control its decisions. It keeps daily data even if some hourly data is missing. The system uses specific numbers to make decisions: a 20-day high and low, a 14-day average price movement, and a 10 basis point target. It also credits fees of 25 basis points and has a 20-day time limit. The system checks the next open time and can use a 2 average true range trail if enabled. The system was trained on data from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The trading symbol is ETH, the data source is native, the signal type is calendar-based, and the execution is hourly. The system has a 10 basis point slip and its results are: a return of 41.23%, a drawdown of 38.67%, and a win rate of 50%. The average win is 14.24 and the average loss is 9.15. The system had no missing hour fills. A basis point is a unit of measurement, equal to 0.01%. Average true range, or ATR, is a measure of price movement.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A trading system for ETH/USD has a control that keeps daily data even if hourly data is incomplete. It uses a fixed set of rules, including a 20-day high and low, a 14-day average true range, and a 10 basis point target. The system also credits fees of 25 basis points and has a 20-day timeout. It checks for the next timestamp open and uses a 2RBE entry with a 2ATR trail if enabled. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026, with a holdout period starting at 00:00 UTC. The results show a return of 136.36%, a drawdown of 26.95%, and a win rate of 58.82%. The average win was 16.71% and the average loss was 8.91%. The system had 17 samples and a mean of 6.16%. The returns match another system called vectorbt with a high degree of accuracy, and there are no missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A trading fund manager made notes about a trading system for ETH/USD, which is a cryptocurrency pair. The system uses a type of analysis called coverage attribution control, which means it checks the quality of the data it uses. It keeps daily data even if the hourly data is incomplete. The system uses specific rules, including a 20-day high and low, a 14-day average true range, which is a measure of how much prices move, and a fixed target of 10 basis points, which is a unit of measurement for interest rates and investment returns. It also credits fees of 25 basis points and has a 20-day timeout. The system was trained on data from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results show a return of 144.53%, a drawdown of 26.36%, and a win rate of 58.82%. The average win was 16.94% and the average loss was 8.73%. The system made 17 trades and had no issues with missing data. The results were verified to match another system called vectorbt with a high degree of accuracy.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'ETH/USD C91104 full-native daily/hourly holdout trail1 slip20'. This is a report about an automated trading system for Ethereum (ETH) in US dollars (USD). The system controls how it attributes coverage, keeping daily data even if hourly data is incomplete. It uses specific rules, including a high and low price freeze, a 14-day average true range, and a fixed target. The system also credits fees and has a 20-day timeout. It checks for the next open timestamp and can trail entries by 2 times the average true range if enabled. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results show a return of -17.693568491077492 percent and a drawdown of 25.119257502508784 percent. The win rate is 20 percent, with an average win of 4.596723951782633 and an average loss of 5.760196576291554. There were no instances of zero volume entries or exits. The results match another system called vectorbt with a high degree of accuracy.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'ETH/USD C91104 full-native daily/hourly holdout trail1 slip10'. The automated trading fund manager's notes explain that the coverage attribution control is valid, meaning native daily bars are retained even if hourly day data is incomplete. The manager uses specific settings, including a 20-day high and 10-day low, 2 ATR (Average True Range, a measure of price volatility) over 14 days, a net 3R fixed 10 basis point target, 25 basis point credited fees, and a 20-day timeout. The manager also checks for the next timestamp open and uses a +2RBE (Risk-Reward Ratio, a measure of potential profit) entry 2 ATR trail if enabled. The training period is from 2024 to 2025, and the holdout period is from January 1, 2026, to September 11, 2026, at 00:00 UTC. The results show a return of -16.87%, a drawdown of 24.65%, and a win rate of 20%. The sample size is 5, with a mean of -3.50, an average win of 4.81, and an average loss of 5.57. There are no zero-volume entries or exits. The raw wealth returns match vectorbt at 1e-10, and there are no fictitious missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'ETH/USD C91104 full-native daily/hourly holdout trail0 slip20'. The coverage attribution control means the system keeps daily data even if hourly data is incomplete. It uses a fixed set of rules, including a 20-day high and 10-day low, a 14-day average true range, and a 10 basis point target. The system also credits 25 basis points in fees and has a 20-day timeout. It checks the next timestamp open and uses a 2RBE entry and 2ATR trail if enabled. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results for ETH are as follows: the symbol is ETH, the source is native full, the signal is daily, the execution is hourly, the part is holdout, the trail is false, the slip is 20 basis points, the return is -14.01%, the drawdown is 25.12%, the win rate is 20%, the sample size is 5, the mean is -2.75%, the average win is 9.28%, the average loss is 5.76%, and there are no zero volume entries or exits. The wealth returns match vectorbt at 1e-10, and there are no fictitious missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'ETH/USD C91104 full-native daily/hourly holdout trail0 slip10'. Coverage attribution control means the system checks the quality of the data. It keeps the daily data even if the hourly data is incomplete. The system uses specific rules, including a 20-day high and 10-day low, a 14-day average true range, and a target of 10 basis points, with fees of 25 basis points. It also has a 20-day timeout and checks the next timestamp open. If enabled, it uses a 2RBE entry and a 2ATR trail. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results are for the ETH symbol, with a daily signal and hourly execution, and are part of the holdout set. The trail is set to false and the slip is 10 basis points. The return is -13.145839132688863, the drawdown is 24.652262891543597, and the win rate is 20. The sample size is 5, the mean is -2.5579053478314884, the average win is 9.496584954658527, and the average loss is 5.571527923453992. There are no zero-volume entries or exits. The wealth returns match the vectorbt results at a precision of 1e-10, with no fictitious missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A trading system for ETH/USD, which is a cryptocurrency pair, has been tested. The system uses a method called coverage attribution control, which means it keeps daily data even if hourly data is incomplete. It also uses specific rules, such as a 20 basis point slip, a 10 basis point target, and a 2 ATR, or average true range, trail. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results show a return of 2.15%, a drawdown of 34.49%, and a win rate of 37.5%. The average win was 16.01% and the average loss was 8.11%. A basis point is a unit of measurement, equal to 0.01%. ATR stands for average true range, which is a measure of price volatility. The results were compared to another system called vectorbt and found to be very similar, with no missing hour fills, which are fictional trades added to make the data complete.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A trading system has rules to control its decisions. It keeps daily data even if hourly data is incomplete. The system uses specific numbers to make decisions: a high and low price that does not change for 20 days, a 14-day average price movement, and a target profit of 10 basis points with fees of 25 basis points. It also has a 20-day time limit and checks the next open time. If a specific condition is met, it adjusts its strategy. The system was trained using data from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results are for the ETH symbol, using native full data, with daily signals and hourly execution. The system has a 10 basis point slip, a return of 5.46998735720734, a drawdown of 34.03446427283529, and a win rate of 37.5. The average win is 16.239751259575037 and the average loss is 7.923495991391414. The results match another system's results, with no missing hourly data fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A trading system uses a control to decide which data to use. It keeps daily data even if hourly data is incomplete. The system uses specific rules, including a high and low price limit, and a fee of 25 basis points. It also has a 20-day time limit and checks the next open time. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. A test of the system found the following results for the symbol ETH: a return of 34.0970640322785 percent, a drawdown of 35.444332842459836 percent, and a win rate of 40 percent. The test used 15 samples, with a mean of 2.8649373440703143, an average win of 18.58910107094464, and an average loss of 7.617838473845902. There were no instances where the system entered or exited a trade without volume, except for one exit. The results match another system, called vectorbt, to a high degree of accuracy, with no missing hourly data.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'ETH/USD C91104 full-native daily/hourly train trail0 slip10'. This is a report about an automated trading system for Ethereum (ETH) in US dollars (USD). The system controls how it uses data to make decisions, keeping daily data even if hourly data is incomplete. It uses specific rules, including a 20-day high and 10-day low, a 14-day average true range (a measure of price volatility), and a target of 10 basis points (a unit of measurement for interest rates or investment returns). The system also credits fees of 25 basis points and has a 20-day timeout. It checks for the next timestamp open and uses a 2RBE (a risk management strategy) entry with a 2ATR (average true range) trail if enabled. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026, with a holdout period starting at 00:00 UTC. The results show a return of 38.18%, a drawdown of 34.79%, and a win rate of 40% over 15 samples, with an average win of 18.83% and an average loss of 7.43%. There were no instances of zero volume entries, but one instance of zero volume exits. The wealth returns match those of vectorbt, a backtesting library, to a high degree of accuracy, with no fictitious or missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A coverage attribution control check was performed. This means the system checks how well it is working. The system kept the daily data even if the hourly data was incomplete. It used the same rules as before, including a 20-day high and 10-day low, and a 14-day average true range. The system also used a fixed target and credited fees. It had a 20-day time limit and checked the next timestamp open. If enabled, it used a 2RBE entry and a 2ATR trail, which is a way to adjust the price at which to buy or sell. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results for the ETH symbol are as follows: the return was -18.45%, the drawdown was 27.86%, and the win rate was 20%. The sample size was 5, the mean was -3.71, the average win was 9.28, and the average loss was 6.96. There were no zero volume entries or exits. The results match the vectorbt system at a very small difference of 1e-10, and there were no missing hour fills that were not real.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'ETH/USD C91104 full-native daily/daily holdout trail1 slip10'. Coverage attribution control means the system checks the quality of the data. It keeps the daily data even if the hourly data is incomplete. The system uses specific rules, including a 20-day high and 10-day low, a 14-day average true range, and a fixed 10 basis point target. It also credits fees of 25 basis points and has a 20-day timeout. The system checks the next timestamp open and uses a 2RBE entry and 2ATR trail if enabled. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results for the symbol ETH are as follows: the signal and execution are daily, the system is in the holdout part, and the trail is true. The slip is 10 basis points. The return is -17.632465948682295, the drawdown is 27.353641298074404, and the win rate is 20. The sample size is 5, the mean is -3.5218771014378847, the average win is 9.496584954658527, and the average loss is 6.776492615461987. There are no zero volume entries or exits. The wealth returns match the vectorbt results at 1e-10, and there are no fictitious missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'ETH/USD C91104 full-native daily/daily holdout trail0 slip20'. Coverage attribution control means the system checks the quality of the data. It keeps the daily data even if the hourly data is incomplete. The system uses specific rules, including a high and low price from the last 20 days, a measure of price movement called 2ATR14, and a fixed target of 10 basis points. It also credits fees of 25 basis points and has a 20-day timeout. The system checks the next timestamp open and uses a trail of 2ATR if enabled. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results for the symbol ETH are as follows: the signal and execution are daily, the system is in the holdout part, and the trail is false. The slip in basis points is 20. The return is -18.45%, the drawdown is 27.86%, and the win rate is 20%. The sample size is 5, the mean is -3.71, the average win is 9.28, and the average loss is 6.96. There are no entries or exits with zero volume. The wealth returns match the vectorbt system at a precision of 1e-10, and there are no fictitious missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'ETH/USD C91104 full-native daily/daily holdout trail0 slip10'. Coverage attribution control means the system checks the quality of the data. It keeps the daily data even if the hourly data is incomplete. The system uses specific rules, including a high and low price from 20 days ago, a 14-day average true range, and a target profit of 3 times the risk, with fees of 25 basis points. It also has a 20-day time limit and checks the next timestamp open. If enabled, it uses a 2 times risk basis entry and a 2 times average true range trail. The system was trained from 2024 to 2025 and reused from January 1, 2026, to September 11, 2026. The results for ETH are as follows: the symbol is ETH, the source is native full, the signal is daily, the execution is daily, the part is holdout, the trail is false, and the slip is 10 basis points. The return is -17.63%, the drawdown is 27.35%, the win rate is 20%, the sample size is 5, the mean is -3.52, the average win is 9.50, the average loss is 6.78, and there are no zero volume entries or exits. The wealth returns match the vectorbt results at 1e-10, and there are no fictitious missing hour fills.
https://runway.adityaperswal.workers.dev/data/crypto-bars