Notes

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 symbol ETH, with a daily time frame, and a train period, from January 1, 2024, to January 1, 2026, showed a return of -0.9862710551, a drawdown of 35.2672389601, 40 wins, 15 trades, and a mean of 0.9267903619. The buy and hold return was 30.1642494797, and the reconcile value was 3.330669074e-16, with a slip of 20 basis points and trail set to true. 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 called note2231 and historical data from January 1, 2024, to September 11, 2026, at 06:00 UTC. The test did not include new independent validation, instead reusing the 2026 holdout data. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results showed a return of -6.69%, a maximum drawdown of 43.66%, a win rate of 33.33%, and an average return of 0.63% per trade. The test included 15 trades, with a 20 basis point slip, and no trailing stop. The buy and hold strategy return was 30.16% for comparison. 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, 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 daily training period from January 1, 2024, to January 1, 2026, showed a return of 2.0291530569, a maximum drawdown of 34.9426662999, 40 winning trades, and a total of 15 trades, with a mean return of 1.1288464028. The buy and hold return was 30.1642494797, and the reconcile error was 8.881784197e-16. The test used a 10 basis point slip, which means a 0.1% cost for each trade, and a trailing stop, which is a stop-loss order that moves as the price moves, with the trail parameter set to true. 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 at 00:00 UTC. The 2026 holdout data was reused, and no new independent validation was done. All costs and raw fills were reconciled to 1e-10 precision. The test results for the daily training period from January 1, 2024, to January 1, 2026, were: the symbol was ETH, the time frame was daily, the return was -3.8488%, the maximum drawdown was 43.1459%, the win rate was 33.3333%, the number of trades was 15, and the mean return was 0.8299%. The return of a buy and hold strategy was 30.1642%. The reconcile value was 4.4409e-16. The slip in basis points was 10 and the trail was set to false. https://runway.adityaperswal.workers.dev/data/crypto-bars

A backtest of the BTC/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, 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 a precision 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 BTC, the time frame was hourly, the period was the reused holdout, the start date was January 1, 2026, at 00:00:00 UTC, and the end date was September 11, 2026, at 00:00:00 UTC. The slip in basis points was 20, and the trail was true. The return was 6.3518399027, the drawdown was 13.3919712797, the win rate was 50, the number of trades was 6, the mean was 1.1993878608, and the buy and hold return was -12.2163852845. The reconcile value was 2.220446049e-16. https://runway.adityaperswal.workers.dev/data/crypto-bars

A backtest of the BTC/USD trading strategy was measured from 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. The test was accepted with a backtest cutoff at 00:00 UTC. The holdout period from 2026 was reused, meaning it did not have new independent validation. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results for the hourly trading strategy on the BTC symbol showed a return of 6.3518%, a maximum drawdown of 13.3919%, and a win rate of 50% over 6 trades, with a mean return of 1.1994%. The return from a buy-and-hold strategy was -12.2164% for comparison. The reconcile value was 2.2204e-16, indicating a high degree of accuracy in the test results. https://runway.adityaperswal.workers.dev/data/crypto-bars

A backtest of the BTC/USD trading strategy was measured from 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 00:00 UTC. 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, which is a very small number. The test results showed a return of 7.6357530493%, a maximum drawdown of 12.8707598205%, and a win rate of 50%. The test had 6 trades, with a mean of 1.4019896435. For comparison, a buy-and-hold strategy would have had a return of -12.2163852845%. The test used a 10 basis point slip, which is a measure of the difference between the expected and actual price of a trade, and a trailing stop, which is a type of stop-loss order that moves with the price of the trade. https://runway.adityaperswal.workers.dev/data/crypto-bars

A backtest of the BTC/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, 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 in the reused holdout period from January 1, 2026, to September 11, 2026, were as follows: the symbol was BTC, the time frame was hourly, the slip was 10 basis points, and trailing was set to false. The return was 7.6357530493%, the maximum drawdown was 12.8707598205%, the win rate was 50%, the number of trades was 6, and the mean return was 1.4019896435%. For comparison, a buy-and-hold strategy would have resulted in a return of -12.2163852845%. https://runway.adityaperswal.workers.dev/data/crypto-bars

A backtest of the BTC/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 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 16.0629041747 percent, a maximum drawdown of 29.3346711114 percent, a win rate of 36.8421052632 percent, with 19 trades, and a mean of 1.2758262384. The buy and hold return was 107.1683349267 percent. The test used a 20 basis point slip and a trailing stop, with all costs and fills reconciled to an accuracy of 1e-10. https://runway.adityaperswal.workers.dev/data/crypto-bars

A backtest of the BTC/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 00:00 UTC. The 2026 holdout data was reused, and no new independent validation was done. 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, were as follows: the symbol was BTC, the time frame was hourly, the return was 16.0629041747 percent, the maximum drawdown was 29.3346711114 percent, the win rate was 36.8421052632 percent, the number of trades was 19, and the mean return was 1.2758262384. The return from a buy-and-hold strategy was 107.1683349267 percent. The slip, which is the difference between expected and actual trade prices, was 20 basis points, and the trail, which is a type of stop-loss order, was set to false. https://runway.adityaperswal.workers.dev/data/crypto-bars

A backtest of the BTC/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 20.5581742344 percent, a maximum drawdown of 28.4815768457 percent, a win rate of 36.8421052632 percent, with 19 trades, and a mean trade return of 1.4785810512. The buy and hold return was 107.1683349267 percent, with a reconcile value of 1.110223025e-16. The test used a 10 basis point slip and a trailing stop, with the symbol being Bitcoin, represented as BTC, and the time frame being hourly. https://runway.adityaperswal.workers.dev/data/crypto-bars

A test of the BTC/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 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, without 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, were as follows: the symbol was BTC, the time frame was hourly, the return was 20.5581742344 percent, the maximum drawdown was 28.4815768457 percent, the win rate was 36.8421052632 percent, the number of trades was 19, the mean return was 1.4785810512, and the buy and hold return was 107.1683349267 percent. The slip cost was 10 basis points, and the trail feature was set to false. The reconcile value was 1.110223025e-16. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD C91106 costed backtest daily reused_holdout 20bp trail=true'. This is a report about a test of a trading strategy for Bitcoin priced in US dollars. The test was measured on September 11 and the specifications for the test were finalized. The test used data from January 1, 2024, to September 11, 2026. The test reused a previous holdout period, which means it did not use new, independent data to validate the results. The term 'holdout period' refers to a set of data used to test a strategy. All costs and trades were accounted for with a high degree of accuracy, specifically to 1e-10, which is a very small number. The test results are as follows: the symbol tested was Bitcoin, the time frame was daily, and the test period was from January 1, 2026, to September 11, 2026. The test included a 20 basis point slip, which is a measure of the difference between expected and actual trade prices, and a trailing feature, which means the strategy adjusted to market changes. The return on investment was -4.5080757787 percent, the maximum drawdown, or largest loss, was 21.6585257275 percent, and the winning percentage was 33.3333333333 percent. There were 6 trades, with a mean return of -0.4522998748 percent. For comparison, a buy-and-hold strategy would have resulted in a return of -10.5525155247 percent. The reconcile value, which measures the accuracy of the test, was 1.110223025e-16, indicating a high degree of accuracy. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD C91106 costed backtest daily reused_holdout 20bp trail=false'. This is a report about a test of a trading strategy for Bitcoin priced in US dollars. The test was measured from September 11 at 06:08 UTC. The test used a set of rules, called a specification, that was frozen and given a note number, 2231. The test used data from January 1, 2024, to September 11, 2026, but only considered trades up to 00:00 UTC. The test reused a set of data from 2026, called the holdout period, without checking it against new, independent data. The test accounted for all costs and matched the original trades, with a very small difference of 1e-10. The results of the test were: the symbol was Bitcoin, the time period was daily, the test period was the reused holdout period, the start date was January 1, 2026, and the end date was September 11, 2026. The test also used a 20 basis point slip, which is a measure of the difference between the expected and actual price of a trade, and did not use a trailing stop, which is a way to automatically sell a trade when it loses value. The return on investment was -4.5080757787 percent, the maximum drawdown, which is the largest loss from the highest value, was 21.6585257275 percent, the win rate, which is the percentage of successful trades, was 33.3333333333 percent, there were 6 trades, the average return was -0.4522998748 percent, and the return from simply buying and holding Bitcoin was -10.5525155247 percent. The test also reported a reconcile value of 1.110223025e-16, which is a measure of the accuracy of the test. https://runway.adityaperswal.workers.dev/data/crypto-bars

A backtest of the BTC/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 data to validate the results. The test accounted for all costs and raw fills to a precision of 1e-10, which is a very small number. The test results showed a return of -3.3553%, a maximum drawdown of 21.0293%, a win rate of 33.3333%, and a mean return of -0.2530%. The test also showed that buying and holding the asset would have resulted in a return of -10.5525%. The reconcile value, which measures the accuracy of the test, was 8.881784197e-16, which is very close to zero. https://runway.adityaperswal.workers.dev/data/crypto-bars

A backtest of the BTC/USD trading strategy was measured from 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 for the daily period from January 1, 2026, to September 11, 2026, were as follows: the symbol was BTC, the time frame was daily, the period was reused holdout, the start date was January 1, 2026, at 00:00:00 UTC, and the end date was September 11, 2026, at 00:00:00 UTC. The slip in basis points was 10, and the trail was set to false. The return was -3.3553%, the drawdown was 21.0293%, the win rate was 33.3333%, and the number of trades was 6. The mean return was -0.253%, and the buy and hold return was -10.5525%. The reconcile value was 8.881784197e-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 data was reused, with no new independent validation. All costs and raw fills were reconciled to 1e-10 precision. The test results for the BTC symbol, using daily data, in the training period from January 1, 2024, to January 1, 2026, showed a return of -2.1625%, a maximum drawdown of 33.18%, a win rate of 44.44%, and 18 trades, with a mean of 0.3843%. The buy and hold return was 109.11%. The reconcile value was 3.3307e-16. The test used a 20 basis point slip and trailing was set to true. 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 called note2231, based on a request for data from January 1, 2024, to September 11, 2026, at 06 UTC, with a backtest cutoff at 00 UTC. The 2026 holdout data was reused, without new independent validation. All costs and raw fills were reconciled to a precision of 1e-10. The test results for the BTC symbol, using daily data, in the train period, from January 1, 2024, to January 1, 2026, with a 20 basis point slip, and no trailing, showed a return of 5.8585, a maximum drawdown of 28.7457, a win rate of 44.4444, 18 trades, a mean of 0.8887, and a buy and hold return of 109.1139. 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. The test results for the symbol BTC, with a daily time frame, during the training period, from January 1, 2024, to January 1, 2026, showed a return of 1.4238283647, a drawdown of 32.3728386495, a win rate of 44.4444444444, with 18 trades, and a mean of 0.5852259829. The buy and hold return was 109.1138921162, and the reconcile value was 4.440892099e-16, with a slip of 10 basis points and a trail of true. https://runway.adityaperswal.workers.dev/data/crypto-bars

A backtest of the BTC/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 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, without new independent validation. All costs and raw fills were reconciled to an accuracy of 1e-10. The test results for the daily training period from January 1, 2024, to January 1, 2026, showed a return of 9.7389%, a maximum drawdown of 28.03%, a win rate of 44.44%, and an average trade return of 1.0907%. The buy and hold return was 109.11%. The test used a 10 basis point slip, which means a 0.1% cost per trade, and did not use a trailing stop, a strategy that involves moving the stop loss as the price moves in a favorable direction. https://runway.adityaperswal.workers.dev/data/crypto-bars

On August 5, the issuer reported its June 30 balance sheet, which showed cash of 342.141482 million versus 327.409120 million, related-party current receivables of 190.448957 million versus 97.037584 million, debt of 158.670500 million in current and 348.873457 million in long-term debt, book value of 1236.519338 million, and 42.782681 million shares. For the quarter, the company had a trading capacity of 75,926 per day, compared to 39,726, adjusted earnings per share of 2.52, and EBITDA of 165.430566 million, which includes a disposal of 30.1 million. As of the September 10 close at 54.41, the market capitalization was 2327.80567321 million, the price-to-book ratio was 1.8825469, and the annualized exceptional earnings per share was 10.08, which is equivalent to 5.39782 times. A minor transcription error was corrected, changing the market capitalization from 2327.8097 to 2327.80567321, but this did not change the decision. The increase in current receivables by 93.411373 million, compared to the increase in cash by 14.732362 million, prompted a check on collections, but there was no evidence of default. https://www.dorianlpg.com/newsroom/news-and-press-releases/news-details/2026/Dorian-LPG-Ltd--Announces-First-Quarter-Fiscal-Year-2027-Financial-Results/default.aspx

A computer program was run to test a trading strategy on the stock symbol BB using a method called Relative Strength Index, or RSI, which is a way to measure stock price movements. The test used 1000 days of data and analyzed 684 periods of stock price activity. The results showed a total return of 52.054557 percent, a maximum loss of 25.645701 percent, and a winning trade percentage of 64.285714 percent, with an average trade gain of 1.6704 percent. For comparison, simply buying and holding the stock would have resulted in a return of 82.409639 percent. This test was done without splitting the data into separate parts for training and testing, and the results were saved in a separate file using a tool called vectorbt. The results of this test did not lead to the adoption of this strategy. https://runway.adityaperswal.workers.dev/data/stock-bars ; https://investors.blackberry.com/ ; option_contracts BB Oct2 Sep10 closes

A news scan found the headline is not available, but a data line shows counterfactual European zero-rate/dividend calls with calibrated initial close and baseline IV assumptions, and no live Greeks or executable history. The actual AMC default exit was one session earlier than the pre-newsclose. Daily-closing threshold hits are not intraday fills. The model ran with the following parameters: a premium of 0.15, baseline IV of 0.3, 0.5, and 0.8, and an initial IV of 0.43434357248499844. The results were as follows: for a baseline IV of 0.3, the event log standard deviation was 0.07711218401496639, the policy was to hold through, the split was all, n was 12, target close hits were 5, half premium close hits were 8, terminal after cost win count was 6, mean terminal payout x was 2.7642165989351555, and median terminal payout x was 0.906061746418016, and this scenario was feasible, but the scenarios with baseline IV of 0.5 and 0.8 were not feasible. https://runway.adityaperswal.workers.dev/data/stock-bars ; https://investors.blackberry.com/ ; option_contracts BB Oct2 Sep10 closes

A news scan found the headline is not available, but a data line shows the results of a model test. The model tested counterfactual European zero-rate and dividend calls with a calibrated initial close and baseline IV assumptions, but without live Greeks or executable history. The actual AMC default exit was one session earlier than the pre-newsclose. The model results are as follows: the daily-closing threshold hits are not intraday fills. The results are broken down into three scenarios with the following characteristics: a premium of 0.15, a baseline IV of 0.3, and an initial IV of 0.43434357248499844. The event log standard deviation is 0.07711218401496639. The results are: a policy of session before release with 12 data points, 2 target close hits, 6 half premium close hits, and 6 terminal after cost win count, with a mean terminal payout of 1.1516143870915019 and a median terminal payout of 0.7853392397152686, a policy of hold through with 8 data points, 2 target close hits, 5 half premium close hits, and 3 terminal after cost win count, with a mean terminal payout of 2.4847319534170613 and a median terminal payout of 0.07627938016284651, and a policy of hold through with 4 data points, 3 target close hits, 3 half premium close hits, and 3 terminal after cost win count, with a mean terminal payout of 3.323185889971345 and a median terminal payout of 3.996428629196187. https://runway.adityaperswal.workers.dev/data/stock-bars ; https://investors.blackberry.com/ ; option_contracts BB Oct2 Sep10 closes

The model tested different scenarios, called counterfactuals, for European zero-rate and dividend calls, which are financial contracts. It used initial close and baseline IV, or implied volatility, assumptions, without considering live Greeks, which are risk measures, or executable history, which is a record of trades. The actual exit happened one session earlier than expected before the news close. The model found that daily closing threshold hits are not the same as intraday fills. The results included three scenarios: one with a premium of 0.4 and baseline IV of 0.8, which was not feasible; and two with a premium of 0.15 and baseline IV of 0.3, which were feasible. The feasible scenarios had different policies, one for the training set and one for the holdout set, with various metrics such as target close hits, half premium close hits, and terminal after-cost win count. https://runway.adityaperswal.workers.dev/data/stock-bars ; https://investors.blackberry.com/ ; option_contracts BB Oct2 Sep10 closes