Notes

A news scan found the following trade statistics for the symbol MU: the period is train, the number of trades is 52, the mean percentage is 0.7880639366326176, the mean confidence interval is between -2.268432794598495 and 4.111712073594872, the average win percentage is 17.02694800887532, the average loss percentage is -7.099394041313839, and the half Kelly risk bank is 0.023141667438634245. This is based on a numpy seed of 91902 and 20000 independent and identically distributed resamples. The confidence interval estimates the mean, not the future trade bounds. The half Kelly average payoff is an approximation, not a notional permission. Note that chronological regime or clustering can invalidate the results. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following trade statistics for FCEL: the symbol is FCEL, the period is holdout, and the number of trades is 14. The average percentage change is -5.838426244031591, with a 95% confidence interval of -16.60373687953101 to 6.512750435163009. The average win percentage is 35.52084476750601 and the average loss percentage is -17.118227428996395. The half Kelly risk bank is 0. This is based on a numpy seed of 91902 and 20000 IID resamples. The confidence interval estimates the mean, not future trade bounds, and chronological regime or clustering can invalidate the results. The half Kelly average payoff is an approximation, not a notional permission. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A trade statistics report for the symbol FCEL shows the following results for the training period: the mean percentage change is 2.244260590879341, with a 95% confidence interval of -5.5899994795508015 to 10.73279954401375. The average win percentage is 43.65210258603539 and the average loss percentage is -15.322702679792918. The half Kelly risk fraction, a measure of optimal bet size, is 0.025706214110260264. This report is based on 47 data points and 20000 independent and identically distributed resamples, with a numpy seed of 91902. The confidence interval estimates the mean, not the bounds of future trades. Additionally, chronological regime or clustering can invalidate these estimates. The half Kelly fraction is an average payoff approximation, not a notional permission. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following trade statistics for FEAM: the symbol is FEAM, the period is holdout, and there are 9 trades. The average percentage change is -2.2498267093586954, with a 95% confidence interval of -21.236784501130998 to 22.705511844113623. The average win percentage is 60.04159246982594 and the average loss percentage is -20.047375046268595. The half Kelly risk bank is 0. This is based on 20000 IID resamples with a numpy seed of 91902. The confidence interval estimates the mean, not future trade bounds. Chronological regime or clustering can invalidate these estimates. The half Kelly average payoff is an approximation, not a notional permission. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following trade statistics for FEAM: the symbol is FEAM, the period is train, and the number of trades is 7. The mean percentage change is -17.30549672205359, with a 95% confidence interval of -18.907778249682373 to -15.781188943407745. The average win percentage is 0, and the average loss percentage is -17.30549672205359. The half Kelly risk bank is 0. This data is based on 20000 IID resamples, using a numpy seed of 91902. The confidence interval estimates the mean, not the bounds of future trades. Chronological regime or clustering can invalidate these estimates. The half Kelly average payoff is an approximation, not a notional permission. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following trade statistics for BTDR: the symbol is BTDR, the period is holdout, and there are 14 data points. The average percentage change is -0.40434205206053164, with a 95% confidence interval of -14.031106948876515 to 15.178161241236918. The average win percentage is 43.31722160771177 and the average loss percentage is -17.892967515969456. The half Kelly risk, which is a measure of bet size, is 0. This data is based on 20,000 independent and identically distributed resamples, with a numpy seed of 91902. The confidence interval estimates the mean, not the bounds of future trades. Chronological regime or clustering can invalidate these estimates. The half Kelly average payoff is an approximation, not a notional permission. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A data scan found the following trade statistics for BTDR: the symbol is BTDR, the period is train, and the number of trades is 5. The average percentage change is 10.708362240385808. The average win percentage is 52.85996883428338 and the average loss percentage is -17.392708822212573. A statistical method called Half Kelly estimates the average payoff risk at 0.10128990308296104. This data is based on 20000 resamples, with a mean confidence interval of -17.759574441388644 to 41.56172441496322. Note that this estimates the mean, not the bounds of future trades, and chronological regime or clustering can affect the results. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following trade statistics for OCC: the symbol is OCC, the period is holdout, and the number of trades is 14. The mean percentage change is 5.339115579085075, with a 95% confidence interval of -9.82350697979137 to 21.831921836780754. The average win percentage is 44.384995079688686 and the average loss percentage is -16.353039699028045. The half Kelly risk bank is 0.06014550153153385. This data is based on 20000 IID resamples with a numpy seed of 91902. The confidence interval estimates the mean, not future trade bounds. Chronological regime or clustering can invalidate these estimates. The half Kelly average payoff is an approximation, not a notional permission. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following trade statistics for OCC: the symbol is OCC, the period is train, and the number of trades is 46. The mean percentage change is -2.996345515577651, with a 95% confidence interval of -6.775329160946324 to 1.1850289994991061. The average win percentage is 19.99288093748876 and the average loss percentage is -10.221530972255664. The half Kelly risk bank is 0. This data is based on 20,000 independent and identically distributed resamples, with a numpy seed of 91902. The confidence interval estimates the mean, not future trade bounds, and chronological regime or clustering can invalidate the results. The half Kelly average payoff is an approximation, not a notional permission. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following trade statistics for the symbol GLW: the period is holdout, the number of trades is 16, the mean percentage is 4.556873998416445, the mean confidence interval is between 0.09015016796399877 and 9.33522711903153, the average win percentage is 11.999359864272217, and the average loss percentage is -5.012036400540977. The half Kelly risk bank is 0.18987987900856357. This is based on a numpy seed of 91902 and 20000 independent and identically distributed resamples. The confidence interval estimates the mean, not the future trade bounds. Chronological regime or clustering can invalidate these estimates. The half Kelly average payoff is an approximation, not a notional permission. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following trade statistics for GLW: the symbol is GLW, the period is train, the number of trades is 39, the mean percentage change is 0.321682063692746, the mean confidence interval at 95 percent is between -2.0036746476864984 and 2.869515758639974, the average win percentage is 10.219912817224792, the average loss percentage is -4.627433313073277, and the half Kelly risk bank is 0.01573800429836239. This is based on 20000 independent and identically distributed resamples with a numpy seed of 91902. The confidence interval estimates the mean, not the bounds of future trades. The half Kelly fraction is an average payoff approximation, not a notional permission, and chronological regime or clustering can invalidate the results. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following data lines for the MU R91902 six-cell costed parameter sweep and stress: the data is divided into sections including train, holdout, and 2026, which refer to different time periods, with train being the training period, holdout being the holdout period, and 2026 being the year 2026. The columns represent the following: period, which is the time frame, L, which is a parameter, ATRstop, which is a type of stop-loss order based on average true range, return%, which is the percentage return, DD%, which is the maximum drawdown percentage, win%, which is the percentage of winning trades, N, which is the number of trades, mean%, which is the mean return, and targets. The data includes the following entries: train with 15, 2, 59.54808, 55.43691, 35.84906, 53, 1.61104, 15, holdout with 15, 2, 34.85749, 64.49051, 42.10526, 19, 2.6644, 6, 2026 with 15, 2, 35.54875, 39.70405, 50, 8, 5.68191, 3, and so on. The data also includes stress tests, which are simulations of extreme market conditions, with double the usual stress. The fees are 5 basis points per side, and slippage is based on GLW/MU10, OCC/FEAM50, and BTDR/FCEL25. There is no best cell selection, meaning that no single combination of parameters is chosen as the best. The train period is from 2016 to 2023, the holdout period is from 2024 to 2025, and the 2026 period is a known period. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following data: this is a list of results from a test of a trading strategy for the stock FCEL. The test used different parameters, including the length of the trading period, the type of stop-loss order, which is an order to sell a stock when it falls to a certain price, and the amount of risk taken. The results are divided into three groups: train, holdout, and 2026. The train group used data from 2016 to 2023, the holdout group used data from 2024 to 2025, and the 2026 group used data from 2026. The results include the return on investment, the maximum drawdown, which is the largest decline in value, the percentage of winning trades, the number of trades, the average return per trade, and the number of targets hit. The test also included fees of 5 basis points per trade and slippage, which is the difference between the expected price of a trade and the actual price. The test used a long-only strategy, which means it only bought stocks and did not sell short. The results are as follows: [[ https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following data line: this is a list of results from a costed parameter sweep and stress test for the FEAM R91902 six-cell model. The list includes the following columns: period, L, ATR stop, return percentage, drawdown percentage, win percentage, number of trades, mean percentage, and targets. The periods tested were train, holdout, and 2026. The train period used data from 2016 to 2023, the holdout period used data from 2024 to 2025, and the 2026 period was a known period. The fees were 5 basis points per side, and slippage was based on the GLW and MU10, OCC and FEAM50, and BTDR and FCEL25 models. The stress test doubled the fees. There was no best cell selection. The results were as follows: [[ https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A data scan found the following output: it is a list of results from a six-cell costed parameter sweep and stress test for BTDR. The list includes 18 sets of data, each with the following columns: period, L, ATR stop, return percentage, drawdown percentage, win percentage, number of trades, mean percentage, and targets. ATR stop refers to a type of stop-loss order that uses average true range. The periods tested include train, holdout, and 2026. The train period used data from 2016 to 2023, the holdout period used data from 2024 to 2025, and the 2026 period used known data. The test assumed fees of 5 basis points per side, slippage based on GLW, MU, OCC, FEAM, and BTDR, and FCEL. The stress test doubled the parameters. There was no best cell selection made. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the headline 'OCC R91902 six-cell costed parameter sweep and stress'. The data is presented in a table format with columns representing period, L, ATR stop, return percentage, drawdown percentage, win percentage, number of trades, mean percentage, and targets. ATR stop refers to a trading strategy that uses the average true range to set stop-loss levels. The periods include train, holdout, and 2026, with train using data from 2016 to 2023, holdout using data from 2024 to 2025, and 2026 being a known period. The fees are 5 basis points per side, and slippage is based on GLW and MU10, with OCC and FEAM50, and BTDR and FCEL25. The stress test doubles the fees. There is no best cell selection. The data includes the following values: train with 15, 2, -72.74729, 82.65606, 27.08333, 48, -1.66879, 9, holdout with 15, 2, 42.93596, 48.80173, 35.71429, 14, 6.92045, 5, and 2026 with 15, 2, -31.7389, 59.03663, 22.22222, 9, 0.15457, 2, among others. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the following data: this is a list of results from a six-cell costed parameter sweep and stress test for the GLW R91902 automated trading fund manager. The list includes the following information for each cell: period, which is the time frame of the test, L, which is a parameter, ATRstop, which is a type of stop-loss order based on average true range, return percentage, drawdown percentage, win percentage, number of trades, mean percentage return, and number of targets. The periods tested were train, holdout, and 2026. The train period used data from 2016 to 2023, the holdout period used data from 2024 to 2025, and the 2026 period used known data for that year. The fees for the trades were 5 basis points per side, and slippage was based on the performance of the GLW, MU, OCC, FEAM, BTDR, and FCEL stocks. The stress test doubled the parameters. There was no best cell selection made. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A news scan found the data line for FIL-USD. The symbol is FIL-USD, from the source https://query1.finance.yahoo.com/v8/finance/chart/FIL-USD. The data is as of 1789783784, in USD currency. The last bar epoch is 1789603200, based on Yahoo adjusted close, excluding September 19 UTC. The number of data points is 364, with a close of 0.8400030136108398. The return over 21 days is 19.31216568383578 percent, and over 63 days is 9.273232705908407 percent. The simple moving average over 200 days is 0.8416724014282226. The price is not above the 200-day simple moving average, which is false. The prior 20-day value is 0.952547013759613, and there is no breakout, which is false. This is from Purposivepanel, using native currency, with adjusted closes as a diagnostic, assuming no foreign exchange or venue eligibility. The crypto data excludes unfinished September 19 UTC, and this screen is not for trading rule validation. https://query1.finance.yahoo.com/v8/finance/chart/FIL-USD

A news scan found the headline is not available, but a data line shows information about the LINK-USD symbol. The data is from the website https://query1.finance.yahoo.com/v8/finance/chart/LINK-USD, which is a finance website that provides stock and cryptocurrency information. The data is current as of a certain time, represented by the number 1789783802, which is a way to measure time in seconds. The currency being used is the United States dollar, or USD for short, which is a type of money. The last time the data was updated was at a time represented by the number 1789603200, which is also measured in seconds. The basis for the data is the adjusted close prices from Yahoo, which means the prices have been changed to account for things like stock splits, and it excludes prices from September 19, UTC, which is a time zone. The number of data points is 364, which is the number of days the data covers. The last closing price was 11.390055656433105 dollars. The return on investment over the past 21 days was -4.64708326796619 percent, which is a loss, and the return over the past 63 days was 36.70332626161983 percent, which is a gain. The simple moving average, or SMA, over the past 200 days was 9.172092561721803 dollars, which is a way to calculate the average price over a long period of time. The price is currently above the 200-day SMA, which is a good sign for investors. The price 20 days ago was 13.223810195922852 dollars. There was no breakout, which means the price did not suddenly increase or decrease. This data is from a system called Purposivepanel, which uses the native currency, or the currency that the investment is normally traded in, and it uses adjusted closes, which are prices that have been changed to account for things like stock splits, as a diagnostic tool. The system assumes there are no issues with foreign exchange or venue eligibility, which are things that can affect the price of an investment. The system also excludes any unfinished data from September 19, UTC, and it is not used to validate trading rules, which are rules that determine when to buy or sell an investment. https://query1.finance.yahoo.com/v8/finance/chart/LINK-USD

A news scan found the headline is not available, but a data line shows the SOL-USD overseas and crypto completed daily screen. The symbol is SOL-USD, which is a type of cryptocurrency, and the source of the data is https://query1.finance.yahoo.com/v8/finance/chart/SOL-USD. The data is as of a specific time, 1789783815, and the currency is USD, which stands for United States Dollar. The last bar epoch, a term that refers to a specific point in time, is 1789603200. The basis of the data is the Yahoo adjusted close, which means it is based on the closing prices adjusted by Yahoo, and it excludes September 19 UTC, which is a specific date and time zone. The number of data points, referred to as n, is 364. The close price is 101.6033935546875, and the return over 21 days, referred to as ret21, is -6.963623319957057, which is a percentage. The return over 63 days, referred to as ret63, is 34.98170696108514, which is also a percentage. The simple moving average over 200 days, referred to as sma200, is 83.41287990570068. The price is above the 200-day moving average, which is indicated by above200 being true. The prior 20-day price is 106.4476318359375, and there is no breakout, which means the price has not suddenly increased, as indicated by breakout being false. This data is from a purposive panel, which is a type of data analysis, and it is based on the native currency, which is the original currency of the data. The adjusted closes are used for diagnostic purposes, and it is assumed that there is no foreign exchange or venue eligibility, which refers to the ability to trade in a specific market. The crypto data excludes any unfinished data from September 19 UTC, and the screen is not used for trading rule validation, which means it is not used to check if trades are allowed. https://query1.finance.yahoo.com/v8/finance/chart/SOL-USD

A news scan found the headline is not available, but a data line shows information about ETH-USD. The symbol is ETH-USD and the data comes from https://query1.finance.yahoo.com/v8/finance/chart/ETH-USD. The data is current as of 1789783814, which is a unique number to show when the data was last updated, and the currency is USD. The last bar epoch, which is a way to measure time, is 1789603200. The basis, or the way the data was calculated, is the Yahoo adjusted close, which means it has been adjusted for things like stock splits, and it excludes September 19 UTC, which is a specific date and time. The number of data points, or n, is 364. The close, or the last price, is 2447.106689453125. The return over 21 days, or ret21, is -2.521638411925342 percent, and the return over 63 days, or ret63, is 31.339384457338127 percent. The simple moving average over 200 days, or sma200, is 2067.3815258789064. The price is above the 200-day moving average, which is shown by above200 being true. The prior 20-day close, or prior20, is 2525.944580078125. The breakout, which means a big change in price, is false. This data is from a system called Purposivepanel, which uses the native currency, and it is an adjusted closes diagnostic, which means it is used to diagnose or understand the data. It assumes no foreign exchange or venue eligibility, and it excludes unfinished September 19 UTC data. This screen is not used to validate trading rules. https://query1.finance.yahoo.com/v8/finance/chart/ETH-USD

A news scan found the following data line for BTC-USD: the symbol is BTC-USD, from the source https://query1.finance.yahoo.com/v8/finance/chart/BTC-USD, as of 1789783816, in the currency USD. The last bar epoch is 1789603200, with a basis of Yahoo adjusted close, excluding September 19 UTC. The number of data points is 364, the close is 76403.7734375, the 21-day return is -4.801749056869175 percent, and the 63-day return is 19.775253679472993 percent. The simple moving average over 200 days, or sma200, is 70336.8265625, and the price is above this average. The prior 20-day average is 81271.7421875, and there is no breakout. This data is from a purposive panel, in the native currency, using adjusted closes for diagnostic purposes, assuming no foreign exchange or venue eligibility issues. The crypto data excludes unfinished September 19 UTC data, and this screen does not validate trading rules. https://query1.finance.yahoo.com/v8/finance/chart/BTC-USD

A news scan found the daily screen results for AUR.AX. The symbol AUR.AX was checked using data from https://query1.finance.yahoo.com/v8/finance/chart/AUR.AX as of 1789689626. The currency used was AUD. The last bar epoch was 1789689600. The basis for the check was the Yahoo adjusted close, excluding September 19 UTC. The number of data points was 255. The close was 0.017000000923871994. The return over 21 days was 6.250000727595717 percent. The return over 63 days was -5.555546357307506 percent. The simple moving average over 200 days was 0.025057500139810146. The price was not above the 200-day simple moving average, so above200 was false. The prior 20-day value was 0.017999999225139618. There was no breakout, so breakout was false. This was a purposive panel using native currency and adjusted closes for diagnostic purposes, assuming no foreign exchange or venue eligibility issues. The crypto check excluded unfinished September 19 UTC data and was not a validation of trading rules. https://query1.finance.yahoo.com/v8/finance/chart/AUR.AX

A news scan found the data line for VEDL.NS, which is a stock symbol, with the following information: the data is from Yahoo, the currency is Indian Rupees, and the last bar epoch, which is a measure of time, is 1789703100. The basis, or method, of the data is Yahoo adjusted close, excluding September 19 UTC, and the number of data points, or n, is 252. The close, or final price, is 267.60, the 21-day return, which is a measure of performance, is -0.15, and the 63-day return is -5.01. The simple moving average, or sma, over 200 days is 470.11, and the stock is not above this average. The prior 20-day close is 287.95, and there is no breakout, which means the stock has not suddenly increased in price. This data is from a purposive panel, which is a tool used to analyze data, and is based on native currency, which is the currency of the country where the stock is traded, with no foreign exchange or venue eligibility adjustments. The crypto, or cryptocurrency, data excludes any unfinished September 19 UTC data, and this screen is not used to validate trading rules. https://query1.finance.yahoo.com/v8/finance/chart/VEDL.NS

A news scan found the data line for 600089.SS, which is a stock symbol. The data is from Yahoo, a website that provides financial information, and is based on the Chinese currency, or CNY. The last update was on a specific date and time, given as 1789714803, and the last stock price update was at 1789695000. The stock price is based on the adjusted close, which means it has been changed to account for things like dividends, and excludes a specific time period in September 2019, or Sep19 UTC. The data shows that the stock has been tracked for 243 days, and the last price was 18.13 CNY. The return, or change in price, over the last 21 days was -9.58%, and over the last 63 days was -22.39%. The simple moving average, or SMA, over 200 days was 24.18, which is a way to smooth out price changes over time. The stock price is currently below this average, and the prior 20-day average was 20.05. There was no breakout, which means the stock price did not suddenly increase. This data is from a system called Purposivepanel, and is based on native currency, which means the currency of the country where the stock is traded. The diagnostic, or test, used adjusted closes, and did not account for foreign exchange or venue eligibility, which refers to the ability to trade in a certain place. The screen also excludes unfinished data from September 2019, and is not used to validate trading rules, which are rules used to decide when to buy or sell a stock. https://query1.finance.yahoo.com/v8/finance/chart/600089.SS