Notes

A news scan found the headline 'IWM 06UTC completed daily signal'. The details are as follows: the symbol is IWM, the date is 2026-09-18 04:00:00+00:00, there were 1434 bars and 2 pages, the close was 284.1, the annual rate was 0.20131929468476484, the simple moving average, which is a calculation to smooth out price data, was 273.51065, the average true range, which measures price volatility, was 3.2170000000000045, the p90, a probability measure, was 0.12821050854556687, the p90_n was 1255, the high20 was 299.61, the signal was above, the rank was 3, and the size was 93.33. This data was retrieved on September 20 at 06UTC, with adjustments made to equities through September 18 and crypto through September 19. The size was conditional and not executed. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline 'GLD 06UTC completed daily signal'. The signal is about the stock GLD, which had a close price of 401.17 on September 18, 2026. This is a type of investment fund, also known as an exchange-traded fund or ETF, which is a basket of stocks or other assets that can be bought and sold like a single stock. The signal included the following information: the stock had 1434 bars, or periods of trading, and 2 pages of data. The annual rate was 0.1905214114016085, and the simple moving average, or sma, which is a way to smooth out price changes, was 416.22065. The average true range, or atr, which is a measure of price volatility, was 7.923445000000004. The p90, which is a percentage of price changes, was 0.16781703911009302, and this happened 1255 times, or p90_n. The highest price in the last 20 days, or high20, was 429.42. The signal also said that the price was not above a certain level, so it was marked as false, and the rank was null, which means it was not ranked. The size of the trade was 0, which means it was not executed because it was conditional, or dependent on certain conditions being met. This signal was retrieved on September 20 at 06UTC, and it included adjustments to equities through September 18, and completion of crypto on September 19. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline 'EFA 06UTC completed daily signal'. The EFA symbol had a close price of 104.97 on September 18, 2026, at 04:00:00 UTC. This was based on 1434 bars of data, which were divided into 2 pages. The annual rate was 0.16737099644128106, and the simple moving average, or sma, was 101.03105. The average true range, or atr, was 1.0289949999999997. The percentage of price movement, or p90, was 0.09630282889112697, which occurred 1255 times, referred to as p90_n. The highest price in the last 20 days, or high20, was 108.83. The signal was above the threshold, indicated by above being true. The rank of this signal was 5. The size of the trade was 0, which means it was not executed because it was conditional. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline 'EEM 06UTC completed daily signal'. The signal is for the symbol EEM, which was retrieved on September 20 at 06UTC. The data includes a close price of 67.03, an annual rate of 0.28311638591117916, and a simple moving average, or sma, of 62.091550000000005. The average true range, or atr, is 0.9432499999999997. Other data points are a high20 of 69.125 and a rank of 1. The size is 93.33, but it was not executed because it is conditional. The signal also references adjusted SIP equities through September 18 and completed crypto on September 19. https://runway.adityaperswal.workers.dev/data/stock-bars

A list of possible prices for a stock was created based on different assumptions. The list includes the following prices: for a free cash flow of 286, the prices are 26.059480527399423 at a 10% yield, 21.71623377283285 at a 12% yield, and 17.372987018266283 at a 15% yield; for a free cash flow of 500, the prices are 45.558532390558426 at a 10% yield, 37.96544365879869 at a 12% yield, and 30.372354927038955 at a 15% yield; for a free cash flow of 700, the prices are 63.781945346781804 at a 10% yield, 53.151621122318176 at a 12% yield, and 42.52129689785453 at a 15% yield; for a free cash flow of 750, the prices are 68.33779858583765 at a 10% yield, 56.948165488198036 at a 12% yield, and 45.558532390558426 at a 15% yield; for a free cash flow of 800, the prices are 72.89365182489348 at a 10% yield, 60.74470985407791 at a 12% yield, and 48.59576788326233 at a 15% yield. The free cash flow, or FCF, is the amount of money a company has after paying expenses, and the yield is the return on investment, with 10%, 12%, and 15% being the assumed yields. The prices are in US dollars per share. The yields of 10%, 12%, and 15% are assumptions and not actual market quotes or fair value estimates. The free cash flow of 286 is an annualized figure based on seasonal data from the first half of the year and is not the base forecast. The free cash flow range of 700 to 800 is the issuer's guide for 2026, but the durability is unknown. No single cell in the grid was selected to force a 3R decision. https://www.sec.gov/Archives/edgar/data/1306830/000130683026000114/q220268-kex991b.htm

A news scan found the following data: the company has 109.748926 million shares, a market capitalization of 4983.698729659999 million USD, net debt of 10643 million USD, and an enterprise value of 15626.698729659998 million USD. The net debt to equity ratio is 2.135562476250665. The price to earnings guide is 7.5683333333333325. The free cash flow yield guide, which is a measure of a company's ability to generate cash, is between 14.045792853288221 and 16.052334689472254 percent. The free cash flow yield for the first half of the year, annualized, is 5.73870965148633 percent. The company needs 557 to 657 million USD in the second half of the year, which is 3.895104895104895 to 4.594405594405594 times the amount needed in the first half. The value of Nutrinova per share is 1.3849793846729763 USD, and the multiple, which is a ratio used to evaluate the company's performance, is 38. The company can pay down 1.4281687494127595 percent of its net debt. The earnings per share lost is 0.036446825912446745 USD. The Acetyl segment has declined by 26.791277258566982 percent, with a difference of 86 million USD. The hurdle free cash flow at yield, which is the minimum amount of cash flow required to meet the yield, is between 617.743955726382 and 926.6159335895729 million USD. The incremental earnings per share for one quarter is between 0.7209182165481967 and 0.5485247299823235 USD. The current stock price is 45.41 USD. The free cash flow issuer definition has been corrected to 30351. The tax rate is forecasted to be 8 percent, versus a normalized assumption of 20-30 percent. The first half annualization is for diagnostic purposes only and is not a forecast. Nutrinova has a conditional value of 152 million USD in the fourth quarter, which is not a recurring free cash flow. https://www.sec.gov/Archives/edgar/data/1306830/000130683026000117/ce-20260630.htm

A news scan found the following percentage changes in chemical prices from September 7 to 15: ethyl increased by 6.666666666666665 percent, anhydride increased by 11.764705882352944 percent, butyl increased by 14.049586776859503 percent, and propyl decreased by 12.790697674418606 percent over 8 days, compared to the prices listed on https://www.laxmi.com/documents/default.aspx?f=customer-info/price-announcement-1048.pdf. The payment terms remain the same, with no consideration for volume or invoice realization, so this should not be referred to as a weighted chemical price index. The decrease in propyl prices contradicts the claim of uniform inflation. https://www.laxmi.com/documents/default.aspx?f=customer-info/price-announcement-1049.pdf

A simulation of the stock symbol EMN, which is a recent regime, was run with 20,000 paths. The stop percentage was 70.215, the target percentage was 19.28, and the time percentage was 10.505. The average profit and loss per share was -0.8359320844684804, with the 5th percentile being -7.453366432644417 and the 95th percentile being 12.696650988684453. The loss of 2 shares at the 1st percentile was -28.5410203058067. This simulation, seeded with 92004, used 20,000 paths for each of 4 cells, totaling 80,000 paths. The simulation looked at blocks of closing returns starting in either 2017 or 2025, with fixed barriers of 20 basis points on either side, set on September 18, and included any overshoot at the close. The simulation did not consider intraday highs and lows, conditional signals, or news models, and the probabilities were not calibrated to trade odds. A stress diagnostic for 2 shares of EMN exceeded the 120 fund cap, but no such position was proposed. https://runway.adityaperswal.workers.dev/data/stock-bars

A simulation for the stock symbol EMN was run with a long regime. The simulation had 20000 paths and a stop percentage of 61.65, a target percentage of 20.93, and a time percentage of 17.42. The mean profit and loss per share was 0.23, with the 5th percentile being -6.38 and the 95th percentile being 12.57. The simulation also showed a 1% loss of -21.25. This simulation used a seed of 92004, with 20,000 paths each, and 4 cells with 80,000 paths. The empirical close return blocks started in either 2017 or 2025, with fixed barriers on September 18 and 20 basis points on each side, including overshoot at close. The simulation did not include intraday high or low, conditional signals, or news models, and the probabilities were not calibrated to trade odds. The stress diagnostic for EMN exceeded the 120 fund cap, but no such position was proposed. https://runway.adityaperswal.workers.dev/data/stock-bars

A simulation of the stock symbol CE was run with the following parameters: 60 sessions, 5-day blocks, and 20,000 paths. The stop percentage was set at 69.85, the target percentage at 24.55, and the time percentage at 5.6. The average profit and loss per share was -0.26, with 5% of outcomes resulting in a loss of -7.79 or more per share and 95% resulting in a gain of 12.78 or less per share. In the worst 1% of cases, the loss was -18.93 per share. This simulation, seeded with the number 92004, used 20,000 paths and was run in 4 cells with a total of 80,000 paths. The simulation used actual closing prices from either 2017 or 2025, with fixed barriers set on September 18 and a 20 basis point buffer on each side, including any overshoot at the close. The simulation did not account for intraday highs and lows, conditional signals, or news models, and the probabilities were not adjusted to reflect real trade odds. A stress test on the shares of EMN exceeded the 120 fund cap, but no such position was proposed. https://runway.adityaperswal.workers.dev/data/stock-bars

A simulation was run for a long position in the symbol CE, using 20,000 paths and a seed of 92004. The simulation had a stop loss of 57.52%, a target gain of 17.2%, and a time percentage of 25.28%. The average profit per share was $0.1505, with the 5th percentile being a loss of $6.7038 and the 95th percentile being a gain of $11.8016. The worst 1% of losses would result in a loss of $21.8457 per share. This simulation started with data from either 2017 or 2025, used fixed barriers from September 18 with a 20 basis point buffer on each side, and included any overshoot at the close. It did not consider intraday highs or lows, conditional signals, or news models, and the probabilities were not adjusted to reflect actual trade odds. A stress test showed that the proposed position would exceed the 120% fund cap, but no such position was suggested. https://runway.adityaperswal.workers.dev/data/stock-bars

A trade analysis of EMN R92004 shows the following results: there are 5 trades, with a win probability of 0.2, an average win percentage of 14.03505982857255, and an average loss percentage of 7.437813415905913. The half Kelly risk fraction is 0, which means the optimal fraction of equity to risk is 0, calculated as half of the probability of winning minus the probability of losing divided by the ratio of average win to average loss. The mean percentage return is -3.1432387670102195, with a 95% confidence interval of -7.870773213216825 to 5.493070312341293. This analysis is based on 20,000 independent and identically distributed bootstrap means, using a small selected conditional sample, and the results are not independently calibrated to predict future odds. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data: a trade analysis of EMN R92004 shows the following statistics over a recent 20-day period. The analysis is based on 20,000 independent and identically distributed bootstrap means, using a small selected conditional sample, and the results are not independently calibrated to predict future odds. The data includes the number of trades, which is 5, the percentage of winning trades, which is 0.2 or 20 percent, the average winning trade percentage, which is 14.84 percent, and the average losing trade percentage, which is 6.79 percent. The half Kelly risk fraction, which is a measure of the optimal fraction of equity to risk, is calculated as 0. The mean percentage return is -2.46 percent, with a 95 percent confidence interval of -7.25 percent to 6.30 percent. The half Kelly formula is used to determine the optimal risk fraction, where half Kelly equals the maximum of 0 and 0.5 times the difference between the probability of winning and the probability of losing divided by the ratio of average win to average loss, representing a fraction of equity at risk, not dollars allocated. https://runway.adityaperswal.workers.dev/data/stock-bars

A trade analysis of EMN R92004 shows the following results: in 15 trades, the win rate was 0.13333333333333333, or 13.33%, with an average win of 14.342430364070925% and an average loss of 5.189317280305964%. The half Kelly fraction, which is a measure of the optimal fraction of equity to risk, calculated as half of the difference between the win probability and the loss probability divided by the ratio of average win to average loss, is 0. The average return was -2.585084261055711%, with a 95% confidence interval of -5.485027947247429% to 1.2944488225111732%. This analysis is based on 20,000 bootstrap means, using a small selected sample, and the results are not independently calibrated to predict future odds. The half Kelly formula used is max(0, 0.5 * (p - (1-p) / (avgWin/avgLoss))), which represents the fraction of equity at risk, not the dollars allocated. https://runway.adityaperswal.workers.dev/data/stock-bars

A trade analysis of EMN R92004 shows the following results: the number of trades is 15, the probability of winning is 0.13333333333333333, the average win percentage is 15.14564465072985, and the average loss percentage is 4.523306468345164. The half Kelly risk fraction is 0, which means the recommended fraction of equity to risk is 0. The mean percentage return is -1.9007796524684963, with a 95% confidence interval of -4.822981197569016 to 2.003371063954097. This analysis is based on 20,000 bootstrap means from a small selected conditional sample, and the results are not independently calibrated to predict future odds. The half Kelly formula is used to calculate the optimal fraction of equity to risk, which is max(0, 0.5 * (p - (1-p) / (avgWin/avgLoss))), where p is the probability of winning, avgWin is the average win, and avgLoss is the average loss. https://runway.adityaperswal.workers.dev/data/stock-bars

A trading analysis of EMN R92004 shows the following results: there are 35 trades, with a win probability of 0.3142857142857143, an average win percentage of 10.021291372972179, and an average loss percentage of 5.771079409115892. The half Kelly risk fraction is 0, which is a measure of the optimal fraction of equity to risk, calculated as half of the difference between the win probability and the loss probability divided by the ratio of average win to average loss. The mean percentage return is -0.8077628776024979, with a 95% confidence interval of -3.5475683918097243 to 2.172810174693522. This analysis is based on 20,000 bootstrap means, using a small selected sample, and the results are not independently calibrated to predict future odds. https://runway.adityaperswal.workers.dev/data/stock-bars

A trading analysis of EMN R92004 shows the following results: there were 35 trades, with a win probability of 0.3142857142857143, meaning about 31 percent of trades were winners. The average winning trade percentage was 10.794151218491137 percent, and the average losing trade percentage was 5.109155266047901 percent. The half Kelly risk fraction, which is a measure of the optimal fraction of equity to risk, is 0. The mean percentage return was -0.11097322804991769 percent, with a 95 percent confidence interval of -2.823237055967399 percent to 2.9053580843417706 percent. This analysis is based on 20,000 independent and identically distributed bootstrap means, using a small selected conditional sample, and the results are not independently calibrated to predict future odds. The half Kelly formula used is max(0, 0.5 * (p - (1 - p) / (avgWin / avgLoss))), which calculates the fraction of equity at risk, not the dollars allocated. https://runway.adityaperswal.workers.dev/data/stock-bars

A trade analysis shows the following results: the number of trades is 4, the probability of winning is 0.25, the average win percentage is 23.1537%, and the average loss percentage is 8.9051%. The half Kelly risk fraction, which is a measure of the optimal fraction of equity to risk, is 0. The mean percentage return is -0.8904%, with a 95% confidence interval of -11.3213% to 14.8906%. This data is based on 20,000 bootstrap means, using a small selected conditional sample, and the odds are not independently calibrated for future predictions. The half Kelly formula, which calculates the optimal risk fraction, is max(0, 0.5 * (p - (1-p) / (avgWin/avgLoss))), where p is the probability of winning, avgWin is the average win, and avgLoss is the average loss, and it represents a fraction of equity at risk, not dollars allocated. https://runway.adityaperswal.workers.dev/data/stock-bars

A trade analysis shows the following results: there are 4 trades, with a probability of winning of 0.25. The average winning trade percentage is 24.018780687017184 percent and the average losing trade percentage is 8.265158304774557 percent. The half Kelly risk fraction is 0, which means no equity is at risk. The mean percentage return is -0.1941735568266217 percent, with a 95 percent confidence interval of -10.698381082297276 percent to 15.697712417785498 percent. This data is based on 20,000 bootstrap means from a small selected sample, and the odds are not independently calibrated for future predictions. The half Kelly formula is used to calculate the fraction of equity at risk, which is max(0, 0.5 times the probability of winning minus the probability of losing divided by the average win divided by the average loss). https://runway.adityaperswal.workers.dev/data/stock-bars

A trade analysis shows the following results: the number of trades is 12, the probability of winning is 0.25, the average win percentage is 8.64%, and the average loss percentage is 6.05%. The half Kelly risk fraction is 0, the mean percentage is -2.38%, and the 95% confidence interval for the mean percentage is between -6.09% and 2.42%. This analysis is based on 20,000 independent and identically distributed bootstrap means, using a small selected conditional sample. Note that the results are not independently calibrated for future odds. The half Kelly formula is used to determine the fraction of equity at risk, calculated as max(0, 0.5 * (p - (1-p) / (avgWin/avgLoss))), where p is the probability of winning, avgWin is the average win, and avgLoss is the average loss. https://runway.adityaperswal.workers.dev/data/stock-bars

A trading analysis found the following results: the number of trades is 12, the probability of winning is 0.25, the average win percentage is 9.4077%, and the average loss percentage is 5.3917%. The half Kelly risk fraction, which is a measure of the optimal fraction of equity to risk, is 0. The mean percentage return is -1.6919%. A 95% confidence interval for the mean percentage return is between -5.4125% and 3.1093%. This data is based on 20,000 independent and identically distributed bootstrap means, using a small selected conditional sample. The half Kelly formula is used to calculate the optimal risk fraction, which is the maximum of 0 and 0.5 times the probability of winning minus the probability of losing divided by the ratio of average win to average loss. https://runway.adityaperswal.workers.dev/data/stock-bars

A trading fund manager analyzed the CE R92004 trade dispersion and half Kelly CE_train_55. The results showed 29 trades with a winning percentage of 31.03%. The average win was 9.85% and the average loss was 6.74%. The half Kelly risk fraction was 0. The mean percentage change was -1.59%. A 95% confidence interval for the mean percentage change was between -4.46% and 1.61%. This analysis was based on 20,000 independent and identically distributed bootstrap means from a small, selected conditional sample. The results are not independently calibrated to predict future odds. The half Kelly formula is used to calculate the fraction of equity at risk, which is half of the difference between the probability of winning and the probability of losing divided by the ratio of average win to average loss. https://runway.adityaperswal.workers.dev/data/stock-bars

A trade analysis shows the following results: there are 29 trades, with a winning percentage of 31.03%. The average win is 10.62% and the average loss is 6.08%. The half Kelly fraction, which is a risk management strategy, is 0. This means that no fraction of equity is at risk. The mean percentage return is -0.90%, with a 95% confidence interval of -3.79% to 2.30%. This analysis is based on 20,000 independent and identically distributed bootstrap means, using a small selected sample. The half Kelly formula is used to calculate the fraction of equity at risk, which is the maximum of 0 and half of the difference between the winning probability and the losing probability divided by the ratio of average win to average loss. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: {"n":179,"beta":0.9004264152984888,"daily_alpha_pct":-0.00587314299191566,"correlation":0.3671834641052106,"volatility_annual_pct":32.504060023452794}; this is a statistical summary, where beta refers to a measure of risk, and correlation measures how closely something moves with something else, in this case vsSPY, a stock market index. The data is based on a model trained from 2017 to 2022, held apart from 2023 to 2025, and recent data from 2026. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: {"n":179,"beta":0.26407268633148945,"daily_alpha_pct":0.077788701262891,"correlation":0.0657465463742872,"volatility_annual_pct":53.238160081965965}; this is a statistical summary of a trading model, where beta is a measure of risk, daily alpha is a measure of return, correlation is a measure of relationship with the SPY stock, and volatility is a measure of price fluctuations, with the data split into training from 2017 to 2022, held apart from 2023 to 2025, and recent data from 2026. https://runway.adityaperswal.workers.dev/data/stock-bars