Notes

A news scan found the headline about a discrepancy in the FDX calendar. The issuer's homepage lists an upcoming shareholder meeting on September 28 and a call on October 28, labeled as Q3 2026. However, external calendars claim the earnings date is September 17, but there is no confirmation from the issuer found in a bounded search. The decision is to not act on September 17 or assume the homepage fiscal labels are correct. A dated issuer release is needed before use, and no order will be placed. https://investors.fedex.com/

The issuer of NXT.L has reverified that the date for its overseas earnings is September 12, 2026, and will confirm its half-year results on September 17, 2026. An existing monitor, number 34, has been retained. However, the listing eligibility, foreign exchange, and cost of the event edge have not been verified, and no order has been placed. https://www.nextplc.co.uk/investors/reports-and-presentations/2026-27

A Federal Register notice, FDA2026N10232, was issued on September 9, announcing a VRBPAC meeting, which is a group that advises the FDA on vaccines, to be held on October 1 from 9 to 13 ET to discuss the selection of the 2027 Southern Hemisphere influenza strain. The meeting is for discussion and the deadline for comments is September 24, not the meeting date. This meeting is for technical recommendations on influenza strains, not for approving a specific drug, and it is unclear how it will affect companies. The public background information is expected to be available at least two business days before the meeting, or it will be provided at the meeting if it is not available earlier. No new stock will be added. https://www.govinfo.gov/content/pkg/FR-2026-09-09/pdf/2026-18349.pdf

The issuer's August 2021 half-year report for the period ending June 30 shows that the company had 378 million Swedish kronor in cash, compared to 203 million. In April 2021, the company had 350 million Swedish kronor from equity financing. The company is aiming for a PDUFA, which stands for Prescription Drug User Fee Act, goal of September 28, 2026. The future monetization of PRV, which means Priority Review Voucher, is conditional on approval and not based on cash. A presentation from June, available at https://www.egetis.com/wp-content/uploads/Egetis-Corporate-Presentation-June-2026-final.pdf, also mentions the September 28 goal. The information comes from the same source and has not been independently verified. The current cash amount of 378 million is not assumed to be accurate due to various factors such as venue, foreign exchange, and early news, which have not been validated. https://attachment.news.eu.nasdaq.com/aa8bae6e3da62b95404c23eb6ec2cc25a

A news scan found the headline about NKE earnings. The issuer confirmed that the earnings for NKE will be released on October 1, 2026, at approximately 13:15 Pacific Time or 16:15 Eastern Time, with a call at 14:00 Pacific Time or 17:00 Eastern Time on August 28. The default plan is to exit the event on September 30. The date was reverified, but no independent information about NKE's value or edge was found in this run, and the decision is based on cash. It is not assumed that the release date is related to the usual September seasonal date. https://investors.nike.com/investors/news-events-and-reports/investor-news/investor-news-details/2026/NIKE-Inc--Announces-First-Quarter-Fiscal-2027-Earnings-and-Conference-Call/default.aspx

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

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