A news scan found the headline 'LW R92006 event-conditioned repricing 2025-07-23'. Measured on 2026-09-20, this is a research diagnostic, not actual fills or portfolio return. The data shows that on 2025-07-23, the exit was a stop, with a profit and loss of -28.308055699700034.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'LW R92006 event-conditioned repricing 2025-04-03'. Measured on 2026-09-20, this is a research diagnostic, not actual fills or portfolio return. The data shows that on 2025-04-03, the exit was a stop, with a profit and loss of -26.340508782374155.
https://runway.adityaperswal.workers.dev/data/stock-bars
A research diagnostic was done on September 20, 2026, to measure the performance of a trading strategy, but it did not involve actual trades or portfolio returns. On December 19, 2024, a trading event occurred, which was an exit due to a stop, resulting in a profit and loss of -26.033092373476556.
https://runway.adityaperswal.workers.dev/data/stock-bars
A research diagnostic was done on September 20, 2026, which is not based on actual trades or portfolio performance. On October 1, 2024, a trading event occurred with the following result: the exit was a stop and the profit and loss was -26.649646496382466.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'LW R92006 event-conditioned repricing 2024-07-24'. Measured on 2026-09-20, this was a research diagnostic, not actual fills or portfolio return. The data showed that on 2024-07-24, the exit was time-based, and the profit and loss, or pnl, was -17.59418647845317.
https://runway.adityaperswal.workers.dev/data/stock-bars
A research diagnostic was done on September 20, 2026, to measure the results of a trading event that occurred on April 4, 2024. The event was for a trade with the identifier LW R92006. On April 4, 2024, the trade was stopped, which means it was closed because it reached a certain price limit, and the profit and loss, or pnl, was -33.584811177345955. This is a diagnostic test, not an actual trade or portfolio return.
https://runway.adityaperswal.workers.dev/data/stock-bars
A research diagnostic was done on January 4, 2024, which is not related to actual trades or portfolio performance. The results showed a stop exit and a profit and loss of -29.946759134958683. This diagnostic was measured as of September 20, 2026.
https://runway.adityaperswal.workers.dev/data/stock-bars
A research diagnostic was done on September 20, 2026, which is not based on actual trades or portfolio returns. The simulation used a constant volatility assumption, also known as constant_iv, which means the volatility is kept the same throughout the simulation. The settings for this simulation were as follows: the variance multiplier was 1.25, the stop loss was set at 86.196 percent, the target gain was 1.986 percent, and the time exit was set at 11.818 percent. The simulation also showed a win percentage of 7.188 percent. The average profit and loss in dollars was -24.766189840104435, with the 5th percentile being -40.180673815637434 and the 95th percentile being 15.88958022702653. The half Kelly fraction, a measure used to determine the optimal bet size, was 0, and integer contracts, which means trading whole contracts, was also set to 0.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'Measured 2026-09-20'. This is a research diagnostic, not actual fills or portfolio return. The simulation used a constant volatility, or constant_iv, mode. The settings were: variance multiplier of 1, stop percentage of 93.716, target percentage of 1.022, time exit percentage of 5.262, and win percentage of 3.638. The results showed a mean profit and loss of -28.38 dollars, with 5 percent of results at -39.77 dollars and 95 percent at -14.85 dollars. The half Kelly fraction was 0 and integer contracts were 0.
https://runway.adityaperswal.workers.dev/data/stock-bars
A research diagnostic was done on September 20, 2026, for LW R92006. This is not based on actual trades or portfolio returns. The simulation used a constant volatility, or iv, which is a measure of how much prices vary. The settings for the simulation were: a variance multiplier of 0.75, a stop loss at 99.066 percent, a target at 0.244 percent, and a time exit at 0.69 percent. The simulation showed a win rate of 0.63 percent. The average profit and loss was a loss of 37.016 dollars. The lowest 5 percent of results had a loss of 46.507 dollars, and the top 5 percent had a loss of 27.378 dollars. The half Kelly fraction and integer contracts were both set to 0.
https://runway.adityaperswal.workers.dev/data/stock-bars
A research diagnostic was done on September 20, 2026. This is not based on actual trades or portfolio returns. The simulation used the following settings: the variance multiplier was 1.25, the stop loss was 55.04 percent, the target was 5.654 percent, the time exit was 39.306 percent, and the win percentage was 29.128 percent. The average profit and loss was a loss of $5.57. The worst 5 percent of results had a loss of $36.70, and the best 5 percent had a gain of $96.33. The half Kelly fraction and integer contracts were both set to 0.
https://runway.adityaperswal.workers.dev/data/stock-bars
On September 20, 2026, a research diagnostic measurement was taken, which is not based on actual trading fills or portfolio returns. The simulation used a mode called eventvar_fixed, with a variance multiplier of 1. The stop loss was set at 75.412 percent, the target at 3.2359 percent, and the time exit at 21.352 percent. The win percentage was 15.878 percent. The average profit and loss in dollars was -16.76 dollars. The fifth percentile of profit and loss was -37.41 dollars, and the ninety-fifth percentile was 59.20 dollars. The half Kelly fraction and integer contracts were both set to 0.
https://runway.adityaperswal.workers.dev/data/stock-bars
A research simulation was done on September 20, 2026. This was a diagnostic test, not based on actual trades or portfolio performance. The simulation used a set of rules: it had a variance multiplier of 0.75, a stop loss at 93.116 percent, a target at 1.172 percent, and a time exit at 5.712 percent. The simulation also had a win percentage of 4.67 percent. The average profit and loss was a loss of 28.996 dollars. There was a 5 percent chance of losing 41.621 dollars and a 95 percent chance of losing 4.012 dollars. The half Kelly fraction and the use of integer contracts were both set to 0.
https://runway.adityaperswal.workers.dev/data/stock-bars
LW R92006 CLI breakout diagnostic LW
Convex liquid2026-09-20 06:12
A research diagnostic was done on September 20, 2026, for LW, which is a stock symbol. This diagnostic is not based on actual trades or portfolio returns. The results show that for LW, there were 1098 bars of data, the return percentage was -1.9839710648174247, and the buy and hold return percentage was -29.18500531188345. The maximum drawdown percentage, which is the largest decrease in value, was 2.9359196468515996. The win rate, or percentage of successful trades, was 25. The average trade return percentage was -0.49263590626799914, based on a sample of 4 trades.
https://runway.adityaperswal.workers.dev/data/stock-bars
BB R92006 CLI breakout diagnostic BB
Convex liquid2026-09-20 06:12
A research diagnostic was done on September 20, 2026, for the symbol BB. This is not based on actual trades or portfolio returns. The results show 685 bars of data, a return percentage of 114.16058974983989, and a buy and hold percentage of 121.16182572614105. The maximum drawdown percentage was 30.97472963582667, the win rate was 34.21052631578947, and the average trade percentage was 2.4591384047831113, based on a sample of 38 trades.
https://runway.adityaperswal.workers.dev/data/stock-bars
SFIX R92006 CLI breakout diagnostic SFIX
Convex liquid2026-09-20 06:12
A news scan found the headline 'SFIX R92006 CLI breakout diagnostic SFIX'. Measured on 2026-09-20, this is a research diagnostic, not actual fills or portfolio return. The diagnostic for the symbol SFIX shows the following results: it analyzed 685 bars, had a return percentage of -7.135720552634672, a buy and hold percentage of -25.13227513227513, a maximum drawdown percentage of 38.65602608564814, a win rate of 38.095238095238095, and an average trade percentage of 0.10461387705796789, based on a sample of 42.
https://runway.adityaperswal.workers.dev/data/stock-bars
On 2026-07-24, a pre-event directional proxy for LW R92006 was costed. This is a research diagnostic, not actual fills or portfolio return. The data from 2026-09-20 shows a return of -7.8268464939372615, a drawdown of 8.619019546580265, a win rate of 0, and a sample size of 1.
https://runway.adityaperswal.workers.dev/data/stock-bars
A research diagnostic was done on April 1, 2026, for the LW R92006, which is a type of pre-event directional proxy, meaning it is used to predict market movements before an event happens. The results, measured on September 20, 2026, showed a return of -4.781137694134531, a drawdown of 5.603931473751922, and a win rate of 0, based on a sample of 1. This is a research diagnostic, not actual trading results or portfolio return.
https://runway.adityaperswal.workers.dev/data/stock-bars
On 2025-12-19, a pre-event directional proxy for LW R92006 was analyzed. This analysis was done for research purposes only and does not reflect actual trading results or portfolio returns. The data from this analysis, measured as of 2026-09-20, showed a return of 2.6212671888461614, a drawdown of 2.4613709546644102, a win rate of 100, and was based on a sample size of 1.
https://runway.adityaperswal.workers.dev/data/stock-bars
On September 20, 2026, a research diagnostic was measured, which is not based on actual trades or portfolio performance. The data from September 30, 2025, shows a return of 1.9494851091457803, a drawdown of 4.73410075059938, a win rate of 100 percent, and a sample size of 1.
https://runway.adityaperswal.workers.dev/data/stock-bars
On 2025-07-23, a pre-event directional proxy for LW R92006 was costed. This is a research diagnostic, not actual fills or portfolio return. The results from 2026-09-20 show a return of 3.8165847955563095, a drawdown of 2.1380654644645114, a win rate of 100, and a sample size of 1.
https://runway.adityaperswal.workers.dev/data/stock-bars
On 2025-04-03, a pre-event directional proxy for LW R92006 was analyzed, which is a type of investment strategy. The results, measured on 2026-09-20, were based on research and not actual investment returns. The data showed a return of -3.598659709724586, a drawdown of 2.8806171637117517, and a win rate of 0, based on a sample of 1.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'LW R92006 costed pre-event directional proxy 2024-12-19'. Measured on 2026-09-20, this is a research diagnostic, not actual fills or portfolio return. The data shows that on 2024-12-19, the return was 0.7204561933102013, the drawdown was 9.699569074599413, the win rate was 100, and the sample size was 1.
https://runway.adityaperswal.workers.dev/data/stock-bars
A research diagnostic was done on September 20, 2026, for the LW R92006, which is a pre-event directional proxy that was costed as of October 1, 2024. The results, measured on September 20, 2026, showed a return of -0.3328179157169188, a drawdown of 3.166590209099951, and a win rate of 0, based on a sample of 1. This is a research diagnostic and does not represent actual fills or portfolio return.
https://runway.adityaperswal.workers.dev/data/stock-bars
On 2024-07-24, a pre-event directional proxy for LW R92006 was costed. This is a research diagnostic, not based on actual trades or portfolio performance. The data from 2024-07-24 shows a return of 1.5170090354279069, a drawdown of 3.011863280888072, a win rate of 100, and a sample size of 1, measured as of 2026-09-20.
https://runway.adityaperswal.workers.dev/data/stock-bars