Notes

A data scan found the following results for LPG: the system tested the stock with different settings and got these outcomes: for the train period with no stress, the return was 119.21473812838789 and the drawdown was 70.44881646263345, with 50 trades and 34 wins, and a mean of 2.702369399387059; for the train period with stress, the return was 54.477388761901146 and the drawdown was 73.20748225567368, with 50 trades and 34 wins, and a mean of 1.9859548912609912; for the holdout period with no stress, the return was -15.635942784382054 and the drawdown was 44.59035982840551, with 10 trades and 2 wins, and a mean of -0.7299341066364473; for the holdout period with stress, the return was -21.339538211497107 and the drawdown was 46.496173029106636, with 10 trades and 2 wins, and a mean of -1.4224061094202611; for the recent period with no stress, the return was 72.01512903870292 and the drawdown was 26.18331986606488, with 7 trades and 4 wins, and a mean of 9.20966630948311; for the recent period with stress, the return was 63.7894669276785 and the drawdown was 26.698238274461193, with 7 trades and 4 wins, and a mean of 8.44785925644946. https://runway.adityaperswal.workers.dev/data/stock-bars

A data scan found the following performance metrics for the stock symbol STNG: there are six sets of results. The first set has a lookback of 40, a period of train, stress set to false, a return of -36.77483455093933, a drawdown of 74.69204084022148, 31 trades, a win rate of 32.25806451612903, a mean of -0.45526171356361966, and 1 boundary. The second set has a lookback of 40, a period of train, stress set to true, a return of -49.108297438447245, a drawdown of 78.22791663876804, 31 trades, a win rate of 29.03225806451613, a mean of -1.1496497314163117, and 1 boundary. The third set has a lookback of 40, a period of holdout, stress set to false, a return of -17.57781671465809, a drawdown of 36.98756574738435, 9 trades, a win rate of 22.22222222222222, a mean of -1.6280152389253264, and 0 boundaries. The fourth set has a lookback of 40, a period of holdout, stress set to true, a return of -22.610285393051992, a drawdown of 38.727461841963574, 9 trades, a win rate of 22.22222222222222, a mean of -2.314222553207701, and 0 boundaries. The fifth set has a lookback of 40, a period of recent, stress set to false, a return of 6.953038688903279, a drawdown of 20.839322161245587, 5 trades, a win rate of 40, a mean of 2.068193655316495, and 1 boundary. The sixth set has a lookback of 40, a period of recent, stress set to true, a return of 3.274391573398088, a drawdown of 22.754336757101346, 5 trades, a win rate of 40, a mean of 1.3562029273467147, and 1 boundary. https://runway.adityaperswal.workers.dev/data/stock-bars

A data scan found the following results for the symbol STNG: the system tested the stock with a lookback of 20, which means it considered 20 previous trading days. The results are divided into three periods: train, holdout, and recent. For each period, the system tested two scenarios: one with stress, which means it simulated difficult market conditions, and one without stress. The results include the return, or ret, which is the profit or loss, the maximum drawdown, or dd, which is the biggest loss, the number of trades, or n, the win rate, or win, which is the percentage of profitable trades, the mean return, and the number of boundaries, which refers to the number of times the system reached a certain profit or loss limit. The results are as follows: for the train period without stress, the return was -14.1339, the drawdown was 76.4655, the number of trades was 40, the win rate was 32.5, the mean return was 0.8589, and the number of boundaries was 1. For the train period with stress, the return was -35.104, the drawdown was 79.1787, the number of trades was 40, the win rate was 32.5, the mean return was 0.1554, and the number of boundaries was 1. For the holdout period without stress, the return was 3.9166, the drawdown was 27.2614, the number of trades was 9, the win rate was 33.3333, the mean return was 1.0325, and the number of boundaries was 0. For the holdout period with stress, the return was -2.4282, the drawdown was 28.773, the number of trades was 9, the win rate was 33.3333, the mean return was 0.3277, and the number of boundaries was 0. For the recent period without stress, the return was -7.2087, the drawdown was 26.7869, the number of trades was 7, the win rate was 28.5714, the mean return was -0.4794, and the number of boundaries was 1. For the recent period with stress, the return was -11.6459, the drawdown was 29.0564, the number of trades was 7, the win rate was 28.5714, the mean return was -1.1737, and the number of boundaries was 1. https://runway.adityaperswal.workers.dev/data/stock-bars

A data scan found the following results for the symbol STNG, which is a stock ticker symbol. The results are divided into different periods: train, holdout, and recent. For each period, there are two sets of results, one with stress set to false and one with stress set to true, which refers to a type of testing. The results include the following metrics: return, which is the profit or loss, abbreviated as ret, drawdown, which is the largest decline, abbreviated as dd, number of trades, abbreviated as n, win rate, which is the percentage of winning trades, abbreviated as win, mean return, which is the average profit or loss, and boundaries, which refers to the number of times a certain limit was reached. The results are as follows: for the train period with stress set to false, the return was -57.365236507722464, the drawdown was 87.88069090665603, the number of trades was 48, the win rate was 27.083333333333332, the mean return was -0.4334027425110798, and the boundaries were 1. For the train period with stress set to true, the return was -69.53233147963567, the drawdown was 90.21051475397225, the number of trades was 48, the win rate was 27.083333333333332, the mean return was -1.12794324062383, and the boundaries were 1. For the holdout period with stress set to false, the return was 10.523671809680797, the drawdown was 25.36223677029278, the number of trades was 11, the win rate was 36.36363636363637, the mean return was 1.5299397860509005, and the boundaries were 0. For the holdout period with stress set to true, the return was 2.332655038272742, the drawdown was 27.929400787122205, the number of trades was 11, the win rate was 36.36363636363637, the mean return was 0.8217037220022387, and the boundaries were 0. For the recent period with stress set to false, the return was 8.120891643856396, the drawdown was 20.423995918757264, the number of trades was 7, the win rate was 42.857142857142854, the mean return was 1.7164200421501556, and the boundaries were 1. For the recent period with stress set to true, the return was 2.950614315488815, the drawdown was 22.763798159348525, the number of trades was 7, the win rate was 42.857142857142854, the mean return was 1.0068831594180578, and the boundaries were 1. https://runway.adityaperswal.workers.dev/data/stock-bars

A data scan found the following results for the symbol FRO: a list of backtest results with different parameters, including lookback of 40, and three periods, train, holdout, and recent, with stress test results. The results are as follows: for the train period with no stress test, the return was -54.52953512126888 percent, the maximum drawdown was 69.2095414501645 percent, the number of trades was 40, the win rate was 25, the mean return was -1.0623106715588697 percent, and there were 0 boundary events. For the train period with a stress test, the return was -65.6342733896228 percent, the maximum drawdown was 74.86647774261353 percent, the number of trades was 40, the win rate was 25, the mean return was -1.75246413588379 percent, and there were 0 boundary events. For the holdout period with no stress test, the return was -26.138467711611874 percent, the maximum drawdown was 42.92066427955628 percent, the number of trades was 11, the win rate was 18.181818181818183 percent, the mean return was -2.262435827016204 percent, and there were 0 boundary events. For the holdout period with a stress test, the return was -31.61241767934259 percent, the maximum drawdown was 44.883906617286485 percent, the number of trades was 11, the win rate was 18.181818181818183 percent, the mean return was -2.944217653199146 percent, and there were 0 boundary events. For the recent period with no stress test, the return was 4.696130818422875 percent, the maximum drawdown was 38.72931566683657 percent, the number of trades was 6, the win rate was 33.33333333333333 percent, the mean return was 1.5132420173282146 percent, and there was 1 boundary event. For the recent period with a stress test, the return was 0.38990714419653616 percent, the maximum drawdown was 40.42111865219792 percent, the number of trades was 6, the win rate was 33.33333333333333 percent, the mean return was 0.80512243086265 percent, and there was 1 boundary event. https://runway.adityaperswal.workers.dev/data/stock-bars

A data scan found the following results for the symbol FRO: the system tested the stock with a lookback period of 20 days, which is a way to measure performance over a certain time frame. The results are divided into three periods: train, holdout, and recent. For the train period, when stress, or high market volatility, was not considered, the return was -71.04953424090631 percent and the maximum drawdown, or largest loss, was 81.78333450149938 percent. When stress was considered, the return was -79.31140876580707 percent and the maximum drawdown was 86.13547111829227 percent. For the holdout period, without stress, the return was -4.889544523268773 percent and the maximum drawdown was 43.32812023963554 percent. With stress, the return was -11.93827284716731 percent and the maximum drawdown was 45.277348139715244 percent. For the recent period, without stress, the return was 96.51833483413102 percent and the maximum drawdown was 28.040252386079377 percent. With stress, the return was 87.12094386043951 percent and the maximum drawdown was 29.040681099551556 percent. The number of trades, or n, and the win percentage are also given for each period. https://runway.adityaperswal.workers.dev/data/stock-bars

A data scan found the following results for the symbol FRO: a list of performance metrics for different time periods and stress conditions. The results are as follows: for a lookback period of 10, the performance metrics are given for the train, holdout, and recent periods, with and without stress. The metrics include return, drawdown, number of trades, win rate, mean return, and boundaries. The specific results are: for the train period without stress, the return was -78.34995330450742, the drawdown was 86.67948505261809, the number of trades was 56, the win rate was 23.214285714285715, the mean return was -1.812194398963399, and the boundaries were 1. For the train period with stress, the return was -85.37104080681569, the drawdown was 90.74373048182315, the number of trades was 56, the win rate was 23.214285714285715, the mean return was -2.497116946174507, and the boundaries were 1. For the holdout period without stress, the return was -14.039306384407485, the drawdown was 48.36721245249226, the number of trades was 13, the win rate was 30.76923076923077, the mean return was -0.7279451189667501, and the boundaries were 0. For the holdout period with stress, the return was -21.51644701729954, the drawdown was 50.83626192848647, the number of trades was 13, the win rate was 30.76923076923077, the mean return was -1.420430996207717, and the boundaries were 0. For the recent period without stress, the return was 108.30233584974293, the drawdown was 20.842219281261155, the number of trades was 7, the win rate was 71.42857142857143, the mean return was 11.891810186908906, and the boundaries were 1. For the recent period with stress, the return was 98.34144089118637, the drawdown was 21.394395271645884, the number of trades was 7, the win rate was 71.42857142857143, the mean return was 11.111293470233544, and the boundaries were 1. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline 'FRO R91908 completed September 18 technical packet'. The packet contains technical information about the stock symbol FRO, which closed at 51.42 on the given date. The prior 20-day average was 50.66. The simple moving average, or average price, over 50 days was 39.77 and over 200 days was 31.53. The average true range, or price volatility, was 1.61. A signal, which is a trigger to buy or sell, was true. The relative vigor index over 20 days, which measures buying and selling pressure, was 0.35. The worst gap, which is the largest price jump, was -0.14. The return over 60 days was 0.35. This data was retrieved on September 19 and is based on 2693 bars of data from 2016 forward, except for BWLP 600, and uses adjusted historical quotes, not live quotes. The worst gap is based on the full available history. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=FRO,STNG,LPG,BWLP,SPY&timeframe=1Day&feed=sip&adjustment=all

A technical packet for BWLP was completed on September 18. The packet includes the following information: the symbol is BWLP, the close price is 25.66, the prior 20-day average is 26.14, the 50-day simple moving average, or sma50, is 22.19, and the 200-day simple moving average, or sma200, is 17.29. The average true range, or atr, is 0.85, and the signal is false. The realized volatility over 20 days, or rv20, is 0.35, and the worst gap is -0.13. The return over 60 days, or ret60, is 0.45. This data was retrieved on September 19 and is based on 2693 bars of data from 2016 forward, except for BWLP 600, and uses adjusted historical quotes, not live quotes. The worst gap is based on the full available history. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=FRO,STNG,LPG,BWLP,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'STNG R91908 completed September 18 technical packet'. The technical packet for the symbol STNG, which is a stock symbol, shows the following information: it closed at 87.16, its prior 20-day average was 87.85, its 50-day simple moving average, which is a way to smooth out price changes, was 79.11, and its 200-day simple moving average was 71.57. The average true range, which measures price volatility, was 2.34. The signal, which is a trigger to buy or sell, is false. The relative volatility over 20 days was 0.25, and the worst gap, which is the biggest difference between two prices, was -0.11. The return over 60 days was 0.12. This data was retrieved on September 19 and is based on 2693 bars of data from 2016 forward, except for BWLP 600, and uses adjusted historical quotes, not live quotes. The worst gap is based on the full available history. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=FRO,STNG,LPG,BWLP,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'SPY R91908 completed September 18 technical packet'. The packet contains technical information about the SPY symbol. The close price was 761.69. The prior 20-day average was 771.25. The simple moving average over 50 days was 757.89 and over 200 days was 712.47. The average true range, a measure of volatility, was 6.00. The signal, a trigger to buy or sell, was false. The realized volatility over 20 days was 0.092 and the worst gap, the biggest difference between two days, was -0.107. The return over 60 days was 0.041. This data was retrieved on September 19 and is based on 2693 bars of data from 2016 forward, except for BWLP 600, and uses adjusted historical quotes, not live quotes. The worst gap is calculated over the full available history. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=FRO,STNG,LPG,BWLP,SPY&timeframe=1Day&feed=sip&adjustment=all

A technical packet for LPG was completed on September 18. The data includes: the symbol LPG, a close price of 58.15, a prior 20-day average of 58.31, a 50-day simple moving average, which is a calculation of the average price over 50 days, of 47.91, a 200-day simple moving average of 36.43, an average true range, which measures price volatility, of 1.92, a signal of false, a 20-day realized volatility of 0.34, and the worst gap, which is the largest percentage change, of -0.22. The 60-day return is 0.49. This data was retrieved on September 19 and is based on 2693 bars of data from 2016 forward, except for BWLP 600, and uses adjusted historical quotes, not live quotes. The worst gap is calculated over the full available history. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=FRO,STNG,LPG,BWLP,SPY&timeframe=1Day&feed=sip&adjustment=all

On September 18, the Office of Foreign Assets Control, or OFAC, which is a government agency that enforces economic sanctions, updated its primary lists to include GL131J Lukoil with contingent sale and maintenance permission, along with frequently asked questions, or FAQs, 1224 and 1225. This update does not include a new tanker blocking list on this page. The original license can be found at https://ofac.treasury.gov/media/936951/download. This update is distinct from a new statute, meaning it is a separate set of rules, and having a license does not mean that Russian exports are unrestricted. It is important to monitor actual new designations and authorizations. https://ofac.treasury.gov/recent-actions/20260918

On September 10, an advisory was issued stating that from September 21, the Neo vessel type is estimated to take 10 days to pass through, and from September 22 to October 3, the Panamax vessel type is estimated to take 11 days, with a cost of 23 dollars per day, which is tentative. Normally, individual Panamax vessels have a capacity of 34 to 36, and Neo vessels have a capacity of 9 to 11, but these capacities cannot be added together because the whole canal can only sustain 36 to 38 vessels. Therefore, Monday, September 10, is within the normal range for Neo vessels and does not demonstrate a severe capacity shock. The latest index, which was updated on September 16, still shows prices of A35, A34, and A33 for booking clarification, and no new maintenance amendments have been found. The decision is to preserve 388, and the waiting list, auctions, and paid time charter equivalent gap remains. https://pancanal.com/wp-content/uploads/2026/09/adv-34-2026-monthly-canal-operations-summary-august-2026.pdf

The 2025 20F filing on March 27 reported that the company uses outsourced technical management. A related party, TFG, has a guarantee for bunker fuel that can last up to 6 months, with no amount due at the end of the year. The company has a commitment to Clean Marine scrubbers, with 3.3 million remaining after paying 4.2 million. No supplier concentration percentage has been established. The company has a loss-of-hire insurance with a minimum daily payment of 20,000 for VLCC and Suez, which covers 180 days but has a 60-day deductible, and for LR, which covers 290 days with a 14-day deductible. Operational risk can consume rent despite strong spot prices. The company has ordered nine new VLCCs to be delivered in January 2026, with six from Hengli and three from Dalian, which reduces yard concentration since it is not a single source for the whole fleet. The company has filed directly with the SEC and has had success with its web reader, and will continue to monitor annual risks and subsequent interim risks. https://www.sec.gov/Archives/edgar/data/913290/000162828026021774/fro-20251231.htm

A report from September 16 covered the period up to June 30. It showed that after spending 653.868 million on new builds, vessels, and equipment, the company had 308.116 million in cash. This number does not include 965.880 million from selling vessels. The company had 321.424 million in cash and 2,434.842 million in debt. It also had 222.622889 million shares. The company made 257.4 million in bunker payments and owed 25.9 million, with 23.8 million in associate profit. These payments are not part of the cash received from suppliers. The company owned 73 vessels as of June 30, with 14 on long-term contracts. The company gets paid for voyages when they are completed, rather than monthly or every two weeks, as per the terms of the contract, known as a time charter or TC, which is an agreement to rent a vessel for a set period. The report is based on audited numbers from the company, but the interim numbers are not audited, and the company is not claiming that all forecasted free cash flow, or FCF, will be distributed. https://ml-eu.globenewswire.com/Resource/Download/458804c1-1f6b-4b8b-9ac6-900fc165b0fc

A September 17 presentation, on slide 6, showed a model that looked 12 months ahead from August 28, using the fleet and share price from August 27 and August 28. The model estimated the free cash flow per share to be 6.80, 10.35, and 13.91, at a spot rate of -30%, base, and +30%. The base rates used were 140,000 dollars per day for a VLCC, 115,000 dollars per day for a Suez, and 255,000 dollars per day for an LR. The model also estimated 23,770 spot days and 4,066 time charter days, for a total of 27,836 earning days. These are just illustrations and not guarantees. On slide 4, the presentation showed that 156,900, 117,400, and 81,000 of the third quarter contracts were done, at 86%, 79%, and 70% completion, based on the second quarter presentation, not new September 17 fixings. The annualized 24% yield mentioned on slide 6 is based on the August 27 price, not the September 18 price. This information comes from the issuer, using data from Kpler and Clarksons, which are not independent sources. https://www.frontlineplc.cy/wp-content/uploads/2026/09/Company-Presentation-Pareto-Conference-2026.pdf

A news scan found the headline about the R91908 enrolled sanctions law. The law was enacted on September 18 and confirmed by the White House. The closest source to the enrolled text says that section 102 will be reviewed within 30 days and then every 180 days. Section 113 explains the duties, which can be up to 100%, and it also explains the criteria for the top-five buyer and evasion, as well as the timing for new purchases, which is 30 days, and advance reporting, which is 10 days. Section 114 excludes certain activities, such as humanitarian, nuclear, and non-Russian transit oil, license, and wind-down activities. Section 115 explains the waiver process, which requires Congressional certification. This is not an immediate universal 100% tariff. The Congress.gov website still shows the early SEED title by default, but the Senate amended vote and Govinfo ENR resolve the document-version mismatch. The computed 30-day date is October 18, and this is not based on the assumed announcement hour. No probability has been assigned to this policy. https://www.govinfo.gov/content/pkg/BILLS-119hr5334enr/pdf/BILLS-119hr5334enr.pdf

A news scan found the headline 'NVT R91906 required CLI diagnostic'. The symbol NVT had 1003 bars, with a return percentage of -14.782468414417615. The buy and hold percentage was 378.6666666666667, and the maximum drawdown percentage was 27.910008187297343. The win rate was 31.958762886597935, and the average trade percentage was -0.11469056936866569, based on a sample of 97. The strategy used was CLI 1460 days with a breakout of 20 and a 10 percent stop, and a 30 percent target. The same close signal was used on the IEX, with no explicit fees, holdout, or gap execution. This is not comparable to the next open ATR model, as stated in research/cli.json. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=PSIX,ETN,POWL,NVT,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'POWL R91906 required CLI diagnostic'. The given data is about the stock symbol POWL. It has 1003 bars of data, with a return percentage of -4.9891654704569355. The buy and hold percentage is 687.8372591006424. The maximum drawdown percentage is 33.076553060750676. The win rate is 38.46153846153847. The average trade percentage is 0.091954638563117. The sample size is 78. The strategy used is CLI1460days with a breakout of 20 and a 10 percent stop and 30 percent target. It uses the IEX same close signal and does not account for explicit fees, holdout, or gap execution. This is not comparable to the next open ATR model, with more information in research/cli.json. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=PSIX,ETN,POWL,NVT,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'ETN R91906 required CLI diagnostic'. The given data is about the stock symbol ETN. It has 1003 bars of data, with a return percentage of 15.45128983210866. The buy and hold percentage is 205.21626670498634. The maximum drawdown percentage is 16.11425534173869. The win rate is 41.75824175824176, and the average trade percentage is 0.1834885677941043, based on a sample of 91. The strategy used is called CLI, which stands for Command Line Interface, with 1460 days of data, a breakout of 20, a 10 percent stop, and a 30 percent target. The same close signal was used on the IEX, which is an exchange, with no explicit fees, holdout, or gap execution. This is not comparable to the next open ATR model, which is a type of financial model. More information can be found in research/cli.json, which is a file containing data in JavaScript Object Notation format. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=PSIX,ETN,POWL,NVT,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'PSIX R91906 required CLI diagnostic'. The symbol PSIX had 433 bars, with a return percentage of 24.83161228654909, and a buy and hold percentage of 52.73333333333334. The maximum drawdown percentage was 18.772271202307728, the win rate was 41.935483870967744, and the average trade percentage was 0.8971532075083042, based on a sample of 31. The strategy used was CLI, with 1460 days, a breakout of 20, a 10 percent stop, and a 30 percent target. This means the strategy used a computer program to make trades, a breakout is when a stock price moves above a certain level, and a stop is when a trade is automatically sold if it loses a certain percentage of its value. The signal to buy or sell was based on the same closing signal from IEX, without explicit fees, holdout, or gap execution. This strategy is not comparable to the next open ATR model, which is another type of trading strategy, and more information can be found in research/cli.json. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=PSIX,ETN,POWL,NVT,SPY&timeframe=1Day&feed=sip&adjustment=all

A data scan found the following entry-condition regime table: the sample group NVT holdout had a field called sma200, which is a simple moving average over 200 days, with a value of true, and this happened 10 times with a mean percentage of 3.659785744393773 and a win percentage of 50. The same sample group had a field called sma200 with a value of false, and this happened 1 time with a mean percentage of 40.28343956642031 and a win percentage of 100. The sample group NVT holdout also had a field called spy_above, which means the price of the SPY stock is above a certain point, with a value of true, and this happened 10 times with a mean percentage of 3.659785744393773 and a win percentage of 50. The same sample group had a field called spy_above with a value of false, and this happened 1 time with a mean percentage of 40.28343956642031 and a win percentage of 100. The sample group NVT recent had a field called sma200 with a value of true, and this happened 5 times with a mean percentage of 0.8232544066043146 and a win percentage of 20. The same sample group had a field called sma200 with a value of false, and this happened 0 times with no mean percentage and no win percentage. The sample group NVT recent also had a field called spy_above with a value of true, and this happened 5 times with a mean percentage of 0.8232544066043146 and a win percentage of 20. The same sample group had a field called spy_above with a value of false, and this happened 0 times with no mean percentage and no win percentage. This data is about baseline entry cohorts and does not include a rerun filter strategy, excludes unavailable SMA200, and includes boundary liquidations. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=PSIX,ETN,POWL,NVT,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the following data: a list of entry-condition regime table 32 results. The results include the sample groups POWL_recent and NVT_train, with fields sma200 and spy_above. Sma200 refers to a simple moving average over 200 periods, which is a way to smooth out price data. Spy_above refers to whether the price of the SPY stock, which tracks the S&P 500 index, is above a certain level. The results show the number of times each condition was met, the mean percentage change, and the win percentage. For example, when sma200 was true for POWL_recent, the mean percentage change was 15.069984119084474 and the win percentage was 60. The list includes: POWL_recent with sma200 true, mean percentage change 15.069984119084474, win percentage 60; POWL_recent with sma200 false, no data; POWL_recent with spy_above true, mean percentage change 15.069984119084474, win percentage 60; POWL_recent with spy_above false, no data; NVT_train with sma200 true, mean percentage change 1.9117517882597042, win percentage 33.33333333333333; NVT_train with sma200 false, mean percentage change -0.7230783660077744, win percentage 20; NVT_train with spy_above true, mean percentage change 0.47527929583197137, win percentage 28.000000000000004; NVT_train with spy_above false, mean percentage change 6.800093952582237, win percentage 50. These results are for baseline entry cohorts, do not include a re-run filter strategy, exclude unavailable SMA200, and include boundary liquidations. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=PSIX,ETN,POWL,NVT,SPY&timeframe=1Day&feed=sip&adjustment=all

A data scan found the following entry-condition regime table: the table shows results for two groups, POWL_train and POWL_holdout, with different conditions, such as sma200, which means a simple moving average over 200 days, and spy_above, which means the price of the S&P 500 index is above a certain level. The results are as follows: for POWL_train, when sma200 is true, the mean percentage change is -0.9693384319537593 and the win percentage is 22.22222222222222, based on 27 samples, and when sma200 is false, the mean percentage change is -3.5218451327856495 and the win percentage is 17.647058823529413, based on 17 samples. For POWL_train, when spy_above is true, the mean percentage change is -3.223505099037463 and the win percentage is 16.666666666666664, based on 36 samples, and when spy_above is false, the mean percentage change is 2.9824350791197984 and the win percentage is 33.33333333333333, based on 12 samples. For POWL_holdout, when sma200 is true, the mean percentage change is 2.307475657313983 and the win percentage is 33.33333333333333, based on 15 samples, and when sma200 is false, the mean percentage change is 23.82285042142529 and the win percentage is 100, based on 1 sample. For POWL_holdout, when spy_above is true, the mean percentage change is 2.307475657313983 and the win percentage is 33.33333333333333, based on 15 samples, and when spy_above is false, the mean percentage change is 23.82285042142529 and the win percentage is 100, based on 1 sample. This data is from baseline entry cohorts, does not include a re-run filter strategy, excludes unavailable SMA200, and includes boundary liquidations. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=PSIX,ETN,POWL,NVT,SPY&timeframe=1Day&feed=sip&adjustment=all