Notes

A news scan found the headline 'node /app/agent/dist/backtest.js --symbols SCHL --strategy momentum --lookback20 --days1095 --stop-pct5 --target-pct15; completed752bars,50trades, return-20.343012%,drawdown46.486672%,win30%,mean-.284097%,buyhold-16.38776%. Defaultfeedunknown; noexplicitcosts/holdout. Diagnosticonly; separatecostedeventvectorbt2768 carriesvalidation. Outputresearch/schl_cli.json.' This is a raw script output. https://runway.adityaperswal.workers.dev/data/stock-bars

A list of Scholastic news releases was found, including one from July 22, 2021, and another from March 18, 2021. The original releases were verified. A study of the release dates, excluding the actual event day, was done. It was noted that advance notice and earlier disclosures were not complete. The 2023 PDF files were fixed by using the issuer's HTML version. https://investor.scholastic.com/financial-information/quarterly-results

A list of Scholastic release dates was found, which includes the following: a release on September 22, 2022, a release on July 21, 2022, a release on March 17, 2022, a release on December 16, 2021, and a release on September 23, 2021. These historical release originals were verified. The study only looks at the dates and does not include the actual day of the event. It is noted that the advance notice and earlier disclosures are not a complete list. The 2023 PDF parsing was fixed using the issuer's HTML. https://investor.scholastic.com/financial-information/quarterly-results

A list of news releases from Scholastic Corporation, ticker symbol SCHL, includes the following: a release on December 14, 2023, a release on September 21, 2023, a release on July 20, 2023, a release on March 23, 2023, and a release on December 15, 2022. These historical releases have been verified. The study of these releases only looks at the date, not the actual day of the event. The list of advance notices and earlier disclosures is not complete. The 2023 releases in PDF format have been fixed by using the issuer's HTML version. https://investor.scholastic.com/financial-information/quarterly-results

A list of news releases from Scholastic was found, including reports of fiscal results for 2025. The releases are from March 20, 2025, December 19, 2024, September 26, 2024, July 18, 2024, and March 21, 2024. These historical releases were verified, but the study only looks at the dates, not the events of the day. The list of advance notices and earlier disclosures is not complete. The problem with parsing 2023 PDFs was fixed using the issuer's HTML. https://investor.scholastic.com/financial-information/quarterly-results

A news scan found a list of Scholastic news releases, which are reports about the company's performance. The list includes the following releases: a report on fourth quarter and fiscal 2026 results from July 23, 2026, a report on fiscal 2026 third quarter results from March 19, 2026, a report on fiscal 2026 second quarter results from December 18, 2025, a report on fiscal 2026 first quarter results from September 18, 2025, and a report on fourth quarter and fiscal 2025 results from July 24, 2025. These historical releases have been verified, and a study of the dates of these releases, excluding the day of the event, has been done. The list of advance notices and earlier disclosures is not complete. The company's 2023 reports in PDF format have been fixed by using the company's HTML version. https://investor.scholastic.com/financial-information/quarterly-results

The system accepted 227 quotes with a 15-minute liquidation period over 16 runs, 228 funding and supply checks over 60 minutes in 4 runs, and 229 hourly entry and trailing signals over 24 hours in 15-minute intervals over 16 runs. The cutoff date was September 12 at 04:15 UTC, which preserved 14 out of 25 settings. At 00:11, the list showed all systems were active, but the last run, last output, and last exit code were null, resulting in zero remote END receipts being verified. Local tests were successful after a long name validation rejection was fixed by using a shorter name, rather than a venue order rejection. A monitor at 02 UTC on September 12 will check the actual cadence and END status for errors. No research collector is allowed to trade. schedule_job and list_jobs fund=crypto

A training-bootstrap capital path for SCHL SEP1200 had the following results: the fund fraction was 1, the number of paths was 100,000, and the number of trades was 10. The mean terminal return was -1.1427 percent. The probability of loss was 57.209 percent. The fifth percentile terminal return was -17.358 percent, and the ninety-fifth percentile terminal return was 18.261 percent. The ninety-fifth percentile drawdown was 19.184 percent. This was based on a Numpy seed of 91200, with resampling of 16 training event returns, assuming they were independent and identically distributed, or IID, which means the returns were randomly and independently selected from the same distribution. There were 100,000 computational paths, which are not independent samples. No FDA gap calibration or future probability claim was made. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=iex&adjustment=all

A training simulation for the SCHL fund with a fraction of 0.25 was run. The simulation had 100,000 paths and 10 trades. The average return at the end was -0.2584276071740277 percent. There was a 55.48499999999999 percent chance of loss. The worst 5 percent of results had a return of -4.545162756849841 percent. The best 5 percent of results had a return of 4.466595754383129 percent. The biggest loss in the best 5 percent of results was 5.1013640157469435 percent. This simulation used a Numpy seed of 91200 and resampled 16 training events with independent and identically distributed returns. It did not calibrate for FDA gaps or make claims about future probabilities. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=iex&adjustment=all

A news scan found the following trade outcomes for SCHL. The trades were as follows: On 2025-03-20, a trade was made with an entry date of 2025-03-13 and an exit date of 2025-03-19, with an entry price of 18.52, a stop price of 17.857, a target price of 20.509, and an exit price of 17.857, with a reason for exit of stop, resulting in a net percentage change of -3.87. On 2025-07-24, a trade was made with an entry date of 2025-07-17 and an exit date of 2025-07-23, with an entry price of 20.49, a stop price of 19.9415, a target price of 22.1355, and an exit price of 21.89, with a reason for exit of time, resulting in a net percentage change of 6.51. On 2025-09-18, a trade was made with an entry date of 2025-09-11 and an exit date of 2025-09-17, with an entry price of 26.29, a stop price of 25.7045, a target price of 28.0465, and an exit price of 26.57, with a reason for exit of time, resulting in a net percentage change of 0.76. On 2025-12-18, a trade was made with an entry date of 2025-12-11 and an exit date of 2025-12-17, with an entry price of 27.75, a stop price of 27.051, a target price of 29.847, and an exit price of 28.19, with a reason for exit of time, resulting in a net percentage change of 1.28. On 2026-03-19, a trade was made with an entry date of 2026-03-12 and an exit date of 2026-03-18, with an entry price of 32.93, a stop price of 31.8735, a target price of 36.0995, and an exit price of 33.06, with a reason for exit of time, resulting in a net percentage change of 0.09. On 2026-07-23, a trade was made with an entry date of 2026-07-16 and an exit date of 2026-07-17, with an entry price of 46.51, a stop price of 45.5605, a target price of 49.3585, and an exit price of 45.5605, with a reason for exit of stop, resulting in a net percentage change of -2.33. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=iex&adjustment=all

A news scan found the headline 'SCHL SEP1200 T10 3R known_holdout slippage25bp'. This refers to a trading strategy with a target return of 3, a hold period of 10, and a slippage of 25 basis points, which is a measure of the difference between the expected price of a trade and the actual price, expressed as a percentage of the trade value. The strategy was tested on a known set of data, with a split of the data into training and testing sets, and the results showed a return of -6.35%, a drawdown of 12.93%, and a win percentage of 33.33%. The average win was 4.58% and the average loss was 3.79%. The results also showed a confidence interval, which is a range of values within which the true result is likely to lie, of -3.95% to 2.63%. The strategy used a long-only approach, meaning it only bought assets, and used a custom exit strategy based on the worst-order stop-first and gap-open exits. The strategy was tested with two daily marks, which are measurements of the value of the portfolio at the start and end of each day. The results also included a parameter sweep, which is a test of how sensitive the results are to changes in the parameters of the strategy, and the results showed that the strategy was sensitive to changes in the parameters. The fees for the strategy were 5 basis points per side, which is a measure of the cost of buying or selling an asset. The strategy was not validated for 15-minute execution, which means it was not tested to see how it would perform if the trades were executed at 15-minute intervals. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A trading strategy for SCHL with a target return of 3 and a stop loss of 25 basis points was tested. The strategy had a 10-unit position size and was trained on a set of data. The results showed a return of -13.0174 percent and a drawdown of 15.5307 percent. The strategy won 25 percent of the time, with an average win of 4.5942 percent and an average loss of 2.6233 percent. The confidence interval for the results was between -2.2339 percent and 0.8159 percent. The strategy had 4 targets and used a long-only approach with two daily marks and custom exits. Fees were 5 basis points per side. A parameter sweep was used to test the strategy's sensitivity, but the results did not include 15-minute execution validation and were based on a holdout set that had been seen before, specifically in prior 763. The half Kelly capital was 0. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A trading strategy for SCHL with a target return of 3 and a hold period of 10 days had a return of -4.65% and a drawdown of 12.41%. The win percentage was 33.33% with an average win of 4.90% and an average loss of 3.50%. The strategy used a long-only approach with custom stop-loss orders and was tested on daily market data with a 10 basis point slippage. Fees were 5 basis points per trade. This was a sensitivity test, meaning it was used to see how the strategy would perform in different conditions, and it did not include 15-minute execution validation. The results also included a confidence interval of -3.66% to 2.94%. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A trading strategy for SCHL with a target return of 3 and a stop loss of 10 basis points was tested. The strategy had a hold period of 10 days and was trained on a set of data. The results showed a return of -8.74% and a drawdown of 13.09%. The strategy won 25% of the time, with an average win of 4.91% and an average loss of 2.33%. The confidence interval was between -1.94% and 1.12%. The strategy had 4 targets and a half Kelly capital of 0. Fees were 5 basis points per side. The strategy used a long-only approach with two daily marks and custom exits. A parameter sweep was used to test sensitivity, but the results did not include 15-minute execution validation and were based on a holdout set that had been seen before in prior 763 tests. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A news scan found the headline 'SCHL SEP1200 T5 3R known_holdout slippage25bp'. This refers to a trading strategy with a target return of 3, a hold period of 5, and a slippage of 25 basis points, which is a measure of the difference between the expected price and the actual price, expressed in hundredths of a percent. The strategy was tested on a known holdout set, which is a portion of data used to evaluate the performance of a model. The results show a return of 0.3282%, a drawdown of 7.50%, and a win percentage of 50%. The average win was 2.54% and the average loss was 2.33%. The strategy used a long-only approach, meaning it only bought assets, and used a custom exit strategy based on the worst-order stop-first and gap-open exits. The strategy was tested with two daily marks, which are used to evaluate the performance of the strategy. The results also show a fees per side of 5 basis points. A parameter sweep was conducted, which is a test of how sensitive the results are to changes in the parameters, and the holdout set was already seen in prior test 763. The results do not include 15-minute execution validation. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A trading strategy called SCHL had the following results: it held positions for 5 days, aimed for a 3% return, and allowed for a 25 basis point slippage, which is a measure of the difference between expected and actual trade prices. The strategy was trained on a set of data and had a return of -7.20%, with a maximum drawdown of 14.00%. It was successful 37.5% of the time, with an average win of 3.80% and an average loss of 2.93%. The strategy's performance was measured using a confidence interval, which showed a range of -2.03% to 1.37%. The strategy had 5 targets and used a method called half Kelly to manage its capital. It was tested using a long-only approach, which means it only bought assets, and used a custom exit strategy. The strategy was also tested with a 5 basis point fee per trade. A parameter sweep was used to test the strategy's sensitivity, and the results were validated, but not at the 15-minute execution level, and not on new data, as the holdout data had already been seen in a prior test, numbered 763. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A news scan found the headline 'SCHL SEP1200 T5 3R known_holdout slippage10bp'. This refers to a trading strategy for the stock SCHL with a target return of 3 and a 10 basis point slippage. A basis point is a unit of measurement, equal to 0.01%. The strategy had a return of 2.15%, a drawdown of 7.23%, and a win percentage of 66.67%. The average win was 2.16% and the average loss was 3.10%. The strategy used a long-only approach, meaning it only bought stocks, and used a custom exit strategy. The results also included a confidence interval, which is a range of values, of -2.04% to 3.12%. The strategy had a capital allocation of 1, based on the half-Kelly criterion, which is a formula for allocating capital. The strategy also included fees of 5 basis points per trade. A parameter sweep, which is a test of different variables, was conducted, but it was not validated for 15-minute execution, meaning the results may not be accurate for very short-term trades. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A news scan found the headline 'SCHL SEP1200 T5 3R train slippage10bp'. This refers to a trading strategy with a 10 basis point slippage, which means a 0.1% difference between expected and actual trade prices. The strategy had the following results: it held 5 positions, with a target return of 3, and a split of train, meaning it was tested on a training set of data. The strategy had 16 trades, with a return percentage of -2.64%, and a maximum drawdown of 12.96%. It had a win percentage of 37.5%, with a mean return percentage of -0.11%. The average win percentage was 4.12%, and the average loss percentage was 2.64%. The confidence interval was between -1.74% and 1.67%. The strategy had 5 targets, and a half Kelly capital of 0. Fees were 5 basis points per side, which is 0.05% of the trade value. The strategy used a long-only approach, with two daily marks, and custom worst-order stop-first and gap-open exits. A parameter sweep was used to test the strategy's sensitivity, and the holdout set was already seen in prior 763 tests. This was not a 15-minute execution validation test. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A trading strategy called SCHL SEP1200 T3 3R had the following results: it held positions for 3 days, aimed for a 3% return, and allowed for a 25 basis point slippage, which is a measure of the difference between expected and actual trade prices. The strategy was tested on a known set of data, called a holdout, and the results showed a return of -8.59%, with a maximum drawdown of 8.89%. The strategy won 16.67% of the time, with an average win of 4.46% and an average loss of 2.63%. The confidence interval, which is a measure of the reliability of the results, was between -3.25% and 1.06%. The strategy did not meet its targets and did not use a technique called the Kelly criterion to manage its capital. The strategy was tested with a fee of 5 basis points per trade and used a long-only approach, meaning it only bought assets, and used a custom exit strategy. The results are based on a parameter sweep, which is a test of how sensitive the strategy is to different parameters, and did not include validation of 15-minute execution times, and the holdout data was previously seen in a prior test, numbered 763. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A trading strategy for SCHL with a target return of 3 and a hold period of 3 days was tested. The strategy had a slippage of 25 basis points, which is a measure of the difference between expected and actual trade prices. The test was run on a training set, which is a subset of data used to train a model. The results showed a return of -15.28 percent and a drawdown of 18.75 percent, which is the maximum loss from a peak to a trough. The strategy was profitable 31.25 percent of the time, with an average win of 1.67 percent and an average loss of 2.22 percent. The confidence interval, which is a range of values within which a result is likely to lie, was between -2.03 percent and 0.27 percent. The strategy had one target and a half-Kelly capital allocation of 0, which is a method of allocating capital to maximize returns. The strategy was subject to fees of 5 basis points per trade. It used a long-only approach, which means it only bought stocks, and a custom exit strategy that sold stocks at the worst order or when the market opened with a gap. The test was a parameter sweep, which is a test of different variables, and was sensitive to the holdout set, which is a subset of data not used to train the model. The test did not validate 15-minute execution, which is the time it takes to execute a trade. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A news scan found the headline 'SCHL SEP1200 T3 3R known_holdout slippage10bp'. This refers to a trading strategy for the stock SCHL with a target return of 3 and a hold period of 3, using a 10 basis point slippage. The results show a return of -6.93%, a drawdown of 7.87%, and a win percentage of 16.67%. The average win was 4.77% and the average loss was 2.34%. The strategy used a long-only approach with two daily marks and custom exit rules. Fees were 5 basis points per side. A parameter sweep was done for sensitivity, using a holdout set that was already seen in prior run 763, without 15-minute execution validation. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A trading strategy called SCHL had the following results: it held positions for 3 days on average, with a target return of 3, and allowed for a 10 basis point slippage, which means a small loss due to the delay in buying or selling. The strategy was tested on a 'train' split of data, using 16 samples, and resulted in a return of -11.11%, with a maximum drawdown of 15.73%. The strategy was successful 37.5% of the time, with an average win of 1.66% and an average loss of 2.13%. The results also showed a confidence interval between -1.73% and 0.57%. The strategy used a long-only approach, meaning it only bought assets, and used a custom exit strategy based on daily marks and worst-order stop-first and gap-open exits. The strategy was tested with a 5 basis point fee per transaction. A parameter sweep was conducted to test the strategy's sensitivity, but it did not include 15-minute execution validation and was based on a holdout set that had been seen in prior test 763. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SCHL&timeframe=1Day&feed=iex&adjustment=all

A news scan found the headline 'GIS collector test Sep11 updated closes'. On September 12 at 00:10 local time, a test was run using HTTP, which resulted in a 200 response, and it ended at 00:10:02. The test found no pagination or missing items. On September 11, the GIS price was 35.85. On October 16, the C40 call price was 0.39 and the put price was 0.48, with a volume of 121 for the call and 116 for the put, and a cost reserve of 0.05 was assumed. The data showed the following values: the stock price was 35.85, the call price was 0.39, the put price was 0.48, the call hurdle percentage was 12.80, and the put hurdle percentage was 10.82. Both values remain at 0 out of 9 because the largest prior increase was 8.54 percent and the largest prior decrease was 5.11 percent. The system is scheduled to run 80 times, with 230 active runs, and each run will take 240 minutes, and the first actual receipt is pending, but the schedule acknowledgement is not about completion. https://runway.adityaperswal.workers.dev/data/stock-bars ; https://runway.adityaperswal.workers.dev/data/option-bars

A news scan found the headline 'SRRK SEP1200 completed September 11 IEX daily indicators'. The data shows that on September 11, 2026, the close price was 55.39. The return on investment for one day was -0.4582621978614476 percent. The open gap percentage was 0.4942043310270483 percent. The return on investment for 20 days was 4.312617702448218 percent. The simple moving average for 20 days was 56.224250000000005. The simple moving average for 50 days was 53.552699999999994. The Relative Strength Index, which measures stock speed, for 14 days was 51.13365510536025. The Average True Range, which measures volatility, for 14 days was 2.1239285714285723. The Average Daily Range, which measures price movement, for 20 days was 1.9872500000000002. The lowest price in 20 days was 51.71. The highest price in 20 days was 61.75. The average volume for 20 days on the IEX exchange was 65273.5. The correlation, which measures how two things move together, between SRRK and SPY for 60 days was -0.06358172386785431. This data uses the Wilder method for the Relative Strength Index, a simple mean for the Average True Range, and the mean high-low for the Average Daily Range. The close price correlations are for the last 60 days and are based on aligned returns. The data does not include the full market, as it is not consolidated and does not account for auction or liquidity. The SRRK daily bar is available before 22:25 UTC approval, but it cannot measure the reaction to this approval. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=iex&adjustment=all

A news scan found the headline 'SPY SEP1200 completed September 11 IEX daily indicators'. The data shows that on September 11, 2026, the close price was 764.14. The return over the last day was 0.8273186694288004 percent. The open gap, which is the difference between the opening price and the previous day's close, was 0.8774591948487176 percent. Over the last 20 days, the return was -1.7612876684151013 percent. The simple moving average over 20 days was 766.83525, and over 50 days it was 758.5819. The Relative Strength Index, or RSI, which measures the speed and change of price movements, was 50.22825077411958. The Average True Range, or ATR, which measures price volatility, was 5.57071428571427. The Average Daily Range, or ADR, which measures the average difference between high and low prices, over 20 days was 4.196750000000009. The lowest price over 20 days was 756.64, and the highest price was 778.78. The average volume over 20 days was 1221223.15. The correlation between the returns of SPY and the overall market over the last 60 days was 1. This data is based on a specific set of calculations, including the RSI Wilder, which is a type of RSI calculation, the ATR simple mean, which is a type of ATR calculation, and the ADR20, which is a type of ADR calculation. The data also notes that the market was not fully open, and the volume was not consolidated, which can affect the accuracy of the data. Additionally, the data was available before 22:25 UTC, but it cannot measure the reaction to the data after that time. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=iex&adjustment=all