Stats

A frozen note, number 2174, outlines the premises of a test. The test uses nine sector ETFs, with daily bars adjusted for dividends and splits, from January 4, 2021, at 05:00:00+00:00 to September 10, 2026, at 04:00:00+00:00. The test buys the worst-performing sector from the previous five sessions if it is negative, using the previous close as a signal to fill at the next open, with one cash-only fractional sleeve. The test uses a stop loss based on the average true range, or ATR, which is a measure of volatility, set at 20 periods and 1 times the range, with a target of 3 times the range and a 2 times the range quarter, and a breakeven point the following day. The test also uses gap open and conservative barriers, with a weekly time exit. The test only enters a trade if the prior 20-day realized volatility of the SPY, which is a measure of how much the price of the SPY has fluctuated, is greater than 20%, but not based on the VIX, which is a measure of expected volatility. The fees for the test are 1 basis point, or 0.01%, plus 15 basis points, or 0.15%, for slippage on each side. The test has four phases per day, using a vectorized backtesting approach, with long-only positions and cash sharing, reconciled every day, with no hidden leverage. The mean trade confidence interval, which is a measure of the range of possible values, is between -1.202347268207001% and 0.9499598378533135% at a 95% confidence level, based on 5000 bootstrap samples clustered by month. The reasons for trade exits are: 19 times due to time, 17 times due to stop loss, 3 times due to gap stop, and 2 times due to target, with 3 partial exits and 3 same-day final exits. The current incomplete week is excluded, and all observations and source data are archived. An audit of opening partials before intraday stops did not change any cells. The conclusion of the test is that the primary strategy fails to be robust to costs, and controls cannot replace the primary strategy after holdout inspection. The mechanics of adjusted dividends, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not based on Nagel's 48-industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a trading strategy. The strategy involves nine sector ETFs, with daily bars adjusted for splits and dividends, from January 4, 2016, to December 31, 2020. Each week, the strategy buys the sector with the worst return over the prior five sessions, but only if that return is negative. The buy is executed at the next open, with a signal from the prior close, and is a cash-only, fractional sleeve. The strategy uses a stop loss based on the average true range over 20 days, with a target of three times the risk and a barrier of two times the risk, and exits at the end of the week or when the target is reached. The strategy also considers the realized volatility of the SPY over the prior 20 days, but not the VIX. Fees are one basis point plus 15 basis points for slippage on each side. The strategy has four phases per day and is reconciled daily. The mean trade confidence interval is between -0.7943843415420596% and 0.8182585213220581% over 5000 bootstrap samples. The reasons for trades are: stop losses 19 times, time exits 23 times, and target reaches 1 time. There are 2 partial exits and 7 same-day final exits. The current incomplete week is excluded from the analysis, and all observations and source data are archived. An audit of the opening partial before intraday stop did not change any results. The conclusion is that the primary strategy fails to be robust, and controls cannot replace the primary strategy after inspection. Adjusted dividend mechanics, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not related to Nagel's 48 industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a test. The test uses nine sector ETFs with daily bars adjusted for dividends and splits from January 4, 2021, at 05:00:00+00:00 to September 10, 2026, at 04:00:00+00:00. The test buys the worst-performing sector from the previous five sessions if it was negative, using the previous close as a signal to fill the next open, with one cash-only fractional sleeve. The test uses a stop loss of one times the average true range over 20 days, a target of three times the average true range, and a breakeven point the following day. It also uses gap open, conservative barriers, and a weekly time exit. The test only occurs if the realized volatility of the SPY over the previous 20 days is greater than 20%, and it does not use the VIX. The fees are one basis point plus slippage of five basis points on each side, with four phases per day and vector backtesting for long-only cash sharing, reconciled daily, with no hidden leverage. The mean trade confidence interval at 95% is between -1.034219621696518% and 1.1220167616599663%, with a month cluster of 5000 bootstrap samples. The reasons for trade exits are: time, 19; stop, 17; gap stop, 3; and target, 2, with three partial exits and three same-day final exits. The current incomplete week is excluded, and all observations and source data are archived. An audit of opening partials before intraday stops did not change any cells. The conclusion of this research-only test is that the primary strategy fails to be robust to costs, and controls cannot replace the primary strategy after holdout inspection. The mechanics of adjusted dividends, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not Nagel's 48-industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a trading strategy. The strategy involves nine sector ETFs, with daily bars adjusted for dividends and splits, from January 4, 2016, to December 31, 2020. Each week, the strategy buys the sector with the worst return over the prior five sessions, but only if that return is negative. The buy is executed at the next open, with a signal from the prior close. The strategy uses a cash-only approach, with fractional shares allowed. A stop-loss is set at one times the average true range over 20 days, with a target of three times that range and a maximum gain of two times that range per quarter. The strategy also includes a barrier to prevent large losses and a weekly time exit. A volatility gate is used, based on the prior 20-day realized volatility of the SPY ETF, but not the VIX index. The strategy has fees of one basis point plus slippage of five basis points on each side. There are four phases per day, with vectorized backtesting and long-only cash sharing, reconciled daily. No hidden leverage is used. The mean trade confidence interval is between -0.64% and 0.99%, based on 5000 bootstrap samples. The reasons for trades are: gap stop 2 times, time exit 23 times, stop-loss 17 times, and target reached 1 time. There were 3 partial exits and 5 same-day final exits. The current incomplete week is excluded from the analysis, and all observations and source data are archived. An audit of opening partials before intraday stops did not change any results. The conclusion is that the primary strategy fails to be robust, and controls cannot replace the primary strategy after inspection. Certain mechanics, such as adjusted dividend handling and slippage estimates, remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This strategy is not related to Nagel's 48-industry daily short portfolio.

A news scan found the note: Frozen note2174. The test was based on 9 sector ETFs, with daily price changes adjusted for dividends and splits, from January 4, 2021, 05:00:00+00:00 to September 10, 2026, 04:00:00+00:00. The test bought the worst performing sector of the previous 10 sessions if it was negative, and sold at the next open. The test used a cash-only strategy, with a stop loss of 1 times the 20-day average true range, a target of 3 times the true range, and a 2 true range quarter. The test also used a weekly time exit and conservative barriers. The fees were 1 basis point plus 15 basis points for slippage on each side. The test was reconciled every day, with no hidden leverage. The mean trade confidence interval was between -0.31033285590242954% and 0.26975274239519337%. The reasons for the trades were: gap target 1, stop 107, time 133, target 4, and gap stop 13. There were 35 partial trades and 23 same-day final exits. The current incomplete week was excluded, and all observations and source data were archived. An audit of the opening partial before intraday stop did not change any results. The conclusion is that the primary test failed due to cost robustness, and controls cannot replace the primary test after holdout inspection. The mechanics of adjusted dividends, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This test is not related to Nagel's 48 industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a trading strategy. The strategy involves nine sector ETFs, with daily bars adjusted for dividends and splits, from January 4, 2016, to December 31, 2020. Each week, the strategy buys the sector with the worst return over the prior 10 sessions, but only if that return is negative. The buy order is filled at the next open, with a signal from the prior close, and is a cash-only, fractional sleeve, meaning it can buy a fraction of a share. The strategy uses a stop-loss, which is a price level at which to sell a security, set at 1 times the average true range, or ATR, over 20 sessions, and a target price set at 3 times the ATR, with an additional 2 times the ATR as a quarterly target, and a breakeven point the following day. The strategy also includes gap open, conservative barriers, and a weekly time exit, meaning it will sell at the end of the week. There are fees of 1 basis point, plus slippage of 15 basis points on each side of the trade. The strategy has four phases per day, uses vectorized backtesting, and is long-only, meaning it only buys securities, with cash sharing reconciled daily. The strategy does not use hidden leverage, meaning it does not use borrowed money to buy more securities. The mean trade confidence interval, a measure of the strategy's performance, is between -0.3248899491009365 and 0.09155388045638681 percent, based on 5000 bootstrap samples, which is a statistical method. The reasons for the trades are: 113 times due to time, 7 times due to a gap stop, 98 times due to a stop, 2 times due to a gap target, and 1 time due to a target. There were 18 partial trades and 33 same-day final exits. The current, incomplete week is excluded from the analysis, and all observations and source data are archived. An audit of the opening partial, before intraday stop, did not change any cells. The conclusion, for research purposes only, is that the primary strategy fails to be robust, and controls cannot replace the primary strategy after holdout inspection. The mechanics of adjusted dividends, actual 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not Nagel's 48-industry daily short portfolio.

A frozen note, number 2174, was reviewed. The test was based on 9 sector ETFs, with daily price changes adjusted for dividends and splits, from January 4, 2021, to September 10, 2026. The test bought the worst performing sector from the previous 10 sessions, but only if it had a negative return, and sold at the next open. The test used a stop loss, which is a price level at which to automatically sell a security, set at 1 times the average true range, or ATR, over 20 days, and a target price set at 3 times the ATR. The test also used a barrier, which is a price level that triggers a sale, set at 2 times the ATR above the target, and exited positions at the end of each week. There were fees of 1 basis point, or 0.01%, plus slippage, which is the difference between the expected and actual price of a trade, of 5 basis points, on both the buy and sell sides. The test was run in four phases per day, using a vectorized backtesting framework, and was long only, meaning it only bought securities, and used cash sharing, which is a method of allocating cash to different securities. The test was reconciled daily, and there was no hidden leverage, which is borrowing to invest. The average trade return was between -0.12% and 0.50% with 95% confidence. The test had 41 partial exits, which are sales of part of a position, and 23 same-day final exits. The current incomplete week was excluded from the test, and all observations and source data were archived. An audit of the opening partial before intraday stop did not change any results. The conclusion of the test was that the primary strategy failed to be robust, and the controls, which are tests used for comparison, could not replace the primary strategy after inspection. The test did not validate dividend mechanics, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader, or PDT, rules. The source of the data was https://runway.adityaperswal.workers.dev/data/stock-bars. This test is not related to Nagel's 48 industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a trading strategy. The strategy involves nine sector ETFs, with daily bars adjusted for dividends and splits, from January 4, 2016, to December 31, 2020. Each week, the strategy buys the sector with the worst return over the previous 10 sessions, but only if that return is negative. The buy is executed at the next open, with a signal from the prior close. The strategy uses a cash-only approach, with fractional shares allowed. A stop-loss is set at 1 times the average true range over 20 days, with a target of 3 times the average true range, and an additional 2 times the average true range for a quarter, and a breakeven point the following day. The strategy also includes gap open, conservative barriers, and a weekly time exit. Fees are 1 basis point, plus 5 basis points for slippage on each side. The strategy has four phases per day, with vectorized backtesting, long-only positions, and cash sharing, reconciled daily. There is no hidden leverage. The mean trade confidence interval is between -0.0856% and 0.3319%, based on 5000 bootstrap samples. The reasons for trades include time, gap stop, stop, gap target, and target, with 23 partial trades and 24 same-day final exits. The current incomplete week is excluded, and all observations and source data are archived. An audit of opening partials before intraday stops did not change any results. The conclusion is that the primary strategy fails to provide cost robustness, and controls cannot replace the primary strategy after inspection. Adjusted dividend mechanics, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not related to Nagel's 48-industry daily short portfolio.

A news scan found the note about the REV9110400 neighbor3_15_test, which costed a weekly reversal. The note starts with the premises that it uses nine sector ETFs and daily bars that are all-adjusted for SIP, from January 4, 2021, at 05:00:00+00:00 to September 10, 2026, at 04:00:00+00:00. The first session of each week buys the sector with the worst return over the prior three sessions, but only if that return is negative. It uses a signal from the prior close to fill at the next open, and it only uses cash, with fractional shares allowed in one sleeve. The note mentions an ATR20 stop, which is a stop-loss order based on the average true range over 20 periods, and a target of 3R, which means three times the risk, with a 2R quarter, which is two times the risk for a quarter of the trade, and a break-even point the following day. It also mentions a gap open, conservative barriers, and a weekly time exit, which means the trade is closed at the end of the week. The fees are 1 basis point plus 15 basis points for slippage on each side, which means the difference between the expected price and the actual price. The note also mentions four phases per day, vectorbt long-only cash sharing reconciled every day, and no hidden leverage, which means borrowing money to invest. The mean trade confidence interval at 95% is between -0.41598039756013533% and 0.1716584000385664%, which is a measure of the uncertainty of the trade returns, based on 5000 bootstrap samples, which is a statistical method to estimate the variability of the returns. The reasons for the trades are given as a dictionary with keys for stop, gap stop, time, target, and gap target, with values 118, 15, 120, 7, and 1, respectively. The note also mentions partials, which are 34, and same-day final exits, which are also 34. The current incomplete week is excluded, and all observations and source data are archived. An audit of the opening partial before the intraday stop did not change any cell. The conclusion is that the primary strategy fails the cost robustness test, and the controls cannot replace the primary strategy after holdout inspection. The note also mentions that adjusted dividend mechanics, actual 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and PDT, which is a pattern day trader rule, remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not Nagel's 48 industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a trading strategy. The strategy involves nine sector ETFs, with daily bars adjusted for dividends and splits, from January 4, 2016, to December 31, 2020. The strategy buys the worst-performing sector from the previous three sessions if it is negative, using the previous close as a signal to fill the next open, with one cash-only fractional sleeve. The strategy uses a stop loss of 1 times the 20-day average true range, a target of 3 times the range, and a 2 times range quarter, with a barrier to prevent large losses, and exits at the end of the week. The strategy also includes fees of 1 basis point plus 15 basis points for slippage on each side, with four phases per day, using a vectorized backtesting approach, with long-only positions, cash sharing, and reconciliation every day, with no hidden leverage. The mean trade confidence interval is between -0.28% and 0.31%, with a monthly cluster of 5000 bootstrap samples. The reasons for trade exits are: 94 stops, 108 time exits, 5 target exits, 13 gap stops, and 4 gap targets, with 26 partial exits and 32 same-day final exits. The current incomplete week is excluded, and all observations and sources are archived, with an audit of opening partials before intraday stops that did not change any cells. The conclusion is that the primary strategy fails to be robust, and controls cannot replace the primary strategy after inspection. Adjusted dividend mechanics, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars, and this adaptation is not related to Nagel's 48 industry daily short portfolio.

A news scan found the note: Frozen note2174. The premises of this test are based on 9 sector ETFs, with all-adjusted daily bars from 2021-01-04 05:00:00+00:00 through 2026-09-10 04:00:00+00:00. The strategy buys the worst-performing sector from the previous 3 sessions if it is negative, using the prior close as a signal to fill the next open, with one cash-only fractional sleeve. The strategy uses a 20-day average true range, or ATR, which is a measure of volatility, as a stop loss, with a target of 3 times the risk, or R, and a 2R quarter, and a break-even point, or BE, the following day. It also uses a gap open, conservative barriers, and a weekly time exit. The fees are 1 basis point, or bp, plus 5bp for slippage, which is the difference between the expected and actual price of a trade, on each side. The strategy is reconciled every day, with four phases per day, using a vectorbt, which is a backtesting framework, long-only, cash-sharing approach, with no hidden leverage, which is the use of borrowed money to increase potential returns. The mean trade confidence interval, or CI, is between -0.2562198984201958% and 0.33990779442520025%, with a month cluster of 5000 bootstrap, which is a statistical method. The reasons for the trades are: 114 stops, 14 gap stops, 125 time exits, 7 targets, and 1 gap target. There were 36 partial trades and 32 same-day final exits. The current incomplete week is excluded, and all observations and source data are archived. An audit of the opening partial before intraday stop did not change any cell. The conclusion of this research is that the primary strategy fails to be robust, and the controls cannot replace the primary strategy after holdout inspection, which is a method of testing a strategy. The mechanics of adjusted dividends, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader, or PDT, rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not based on Nagel's 48 industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a trading strategy. The strategy involves nine sector ETFs, with daily price adjustments, from January 4, 2016, to December 31, 2020. Each week, the strategy buys the sector that performed the worst over the previous three sessions, but only if it had a negative return. The purchase is made at the next open price, with a signal from the previous close. The strategy uses a cash-only approach, with fractional shares allowed. A stop-loss is set at one times the average true range over 20 days, with a target of three times the range and an additional two times the range as a quarterly benchmark. The strategy also includes a gap open and conservative barriers, with a weekly time exit. Fees are one basis point plus slippage of five basis points on each side. The strategy has four phases per day, with vector-based backtesting and long-only cash sharing, reconciled daily. There is no hidden leverage. The mean trade confidence interval is between -0.0623% and 0.5203%, based on 5000 bootstrap samples. The reasons for trade exits are: gap stop 14 times, time exit 117 times, stop loss 84 times, target reached 5 times, and gap target 4 times. There were 30 partial exits and 28 same-day final exits. The current incomplete week is excluded from the analysis, and all observations and source data are archived. An audit of opening partials before intraday stops did not change any results. The conclusion is that the primary strategy fails to provide cost robustness, and controls cannot replace the primary strategy after inspection. Adjusted dividend mechanics, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not related to Nagel's 48 industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a test. The test uses nine sector ETFs, which are a type of investment fund that tracks a specific sector, and uses daily bars, which are a type of data that shows the high, low, open, and close prices of a security over a given period, that have been adjusted for splits and dividends. The test ran from January 4, 2021, at 5:00:00 UTC, through September 10, 2026, at 4:00:00 UTC. The test buys the sector with the worst return over the prior five sessions, but only if that return is negative, and it does so at the next open, filling the order at the prior close price, using a cash-only approach that allows for fractional, or partial, shares. The test also has a time-only weekly exit control, which means that positions are closed based on time, not on price movements. The test includes fees of 1 basis point, which is a unit of measurement for interest rates and fees, plus slippage of 15 basis points on each side of the trade, which means that the test accounts for the difference between the expected price of a trade and the actual price. The test uses a vectorbt, which is a type of backtesting framework, long-only approach, which means that it only buys securities, and it reconciles, or matches, the daily equity, which is the total value of the portfolio, every day. The test also uses a cash-sharing approach, which means that it allocates cash to different parts of the portfolio. The mean trade confidence interval, which is a statistical measure of the range of possible values for a trade, is between -0.42498062146571663% and 0.2751204592455909% at a 95% confidence level, which is a statistical measure of the reliability of the results, based on 5000 bootstrap samples, which is a type of statistical simulation. The reasons for the test include a time value of 255, and the test had no partial exits, which are exits from a position that are not complete, and no same-day final exits, which are exits from a position that occur on the same day as the entry. The current incomplete week was excluded from the test, and all observations and source data were archived, and an audit of the opening partial before intraday stop, which is a type of risk management strategy, did not change any of the results. The conclusion of the test is that the primary strategy fails to meet the cost robustness, which means that it is not profitable after accounting for costs, and that the controls, which are the parts of the test that are designed to manage risk, cannot replace the primary strategy after holdout inspection, which is a type of statistical analysis. The test also notes that several mechanics, including adjusted dividend mechanics, actual 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and PDT, which is a type of regulatory rule, remain unvalidated, which means that they have not been tested or proven. The source of the data for the test is https://runway.adityaperswal.workers.dev/data/stock-bars, and this adaptation is not related to Nagel's 48 industry daily short portfolio, which is a type of investment strategy.

A frozen note, number 2174, explains the premises of a trading strategy. The strategy uses nine sector ETFs, which are a type of investment fund that tracks a specific sector, and daily bars, which are a type of data that shows the high, low, open, and close prices of a security over a given period, adjusted for splits and dividends, from January 4, 2016, to December 31, 2020. The strategy buys the sector with the worst return over the prior five sessions if it is negative, using the prior close as a signal to fill the next open, and only uses cash, with fractional shares allowed. The strategy exits at the end of each week, based on time only. The fees are one basis point, which is a unit of measurement for interest rates and fees, plus 15 basis points for slippage, which is the difference between the expected price and the actual price, on each side of the trade. The strategy uses a vectorized backtesting framework, which is a way of testing a strategy using historical data, with four phases per day, and is reconciled daily. The mean trade confidence interval, which is a statistical measure of the range of possible values, is between -0.46% and 0.14% at a 95% confidence level, based on 5000 bootstrap samples, which is a statistical method for estimating the variability of a sample. The reasons for the strategy include a time parameter of 220. The strategy does not use partial fills or same-day final exits. The current incomplete week is excluded from the analysis, and all observations and source data are archived. An audit of the opening partial before intraday stop did not change any cells. The conclusion is that the primary strategy fails to be robust, and the controls cannot replace the primary strategy after inspecting the holdout data, which is a portion of the data set aside for testing. The mechanics of adjusted dividends, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not related to Nagel's 48-industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a test. The test uses nine sector ETFs, with daily bars adjusted for dividends and splits, from January 4, 2021, 05:00:00+00:00 to September 10, 2026, 04:00:00+00:00. The test buys the sector with the worst return over the prior five sessions, but only if that return is negative, and it uses the prior close as a signal to fill the next open, with one cash-only fractional sleeve. The test exits weekly based on time only. It has fees of 1 basis point plus 5 basis points for slippage on each side, with four phases per day, using vectorbt for long-only cash sharing, reconciled daily, with no hidden leverage. The mean trade confidence interval at 95% is between -0.2173690604475051% and 0.48858693110590634%, based on 5000 bootstrap samples clustered by month. The reasons for this include a time factor of 255, with no partials and no same-day final exits. The current incomplete week is excluded, and all observations and sources are archived, with an audit of opening partials before intraday stops that did not change any cells. The conclusion, for research only, is that the primary test fails to be robust to costs, and controls cannot replace the primary test after inspecting the holdout. Adjusted dividend mechanics, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not Nagel's 48-industry daily short portfolio.

A frozen note, number 2174, explains the premises of a trading strategy. The strategy uses nine sector ETFs, with daily bars adjusted for dividends and splits, from January 4, 2016, to December 31, 2020. The strategy buys the sector with the worst return over the prior five sessions, but only if that return is negative, and it does so at the next open, using a signal from the prior close. The strategy uses a cash-only approach, with fractional shares allowed, and it exits positions based on time only, once a week. The strategy also includes fees of 1 basis point, plus a 5 basis point slippage on each side of the trade. The strategy has four phases per day and uses a vectorized backtesting approach, with long-only positions and cash sharing, reconciled daily. The strategy does not use hidden leverage. The mean trade confidence interval is between -0.26% and 0.33%, based on 5,000 bootstrap samples, clustered by month. The reasons for the strategy include a time factor, with 220 time periods considered. The strategy excludes the current incomplete week and archives all observations and sources. An audit of the opening partial and intraday stop did not change any results. The conclusion is that the primary strategy fails to be robust, and controls cannot replace the primary strategy after inspection. The strategy still needs to validate its mechanics, including adjusted dividend handling, 15-minute monitoring, and slippage estimates. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This strategy is not related to Nagel's 48-industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a test. The test uses nine sector ETFs, with daily bars that are adjusted for dividends and splits, from January 4, 2021, at 05:00:00+00:00 to September 10, 2026, at 04:00:00+00:00. The first session of each week buys the sector that had the worst return over the prior five sessions, but only if that return was negative. The purchase is made at the next open, with a signal from the prior close, and is a cash-only transaction that allows for fractional shares. A stop loss is set at one times the average true range over 20 days, with a target of three times that range, and an additional two times that range for a quarter, and a breakeven point the following day. The test also includes a gap open, conservative barriers, and a weekly time exit. Fees are one basis point plus 15 basis points for slippage on each side of the trade. The test has four phases per day, using a vectorized backtesting approach, and is long-only, with cash sharing reconciled daily, and no hidden leverage. The mean trade confidence interval at 95% is between -0.31652818404002264% and 0.2633172689313565%, based on 5000 bootstrap samples clustered by month. The reasons for certain decisions are given, with a gap target of 1, a stop of 106, a time of 123, a gap stop of 17, and a target of 8. There were 35 partial trades and 30 same-day final exits. The current incomplete week is excluded from the test, and all observations and source data are archived. An audit of the opening partial before the intraday stop did not change any results. The conclusion of the test is that the primary strategy fails the cost robustness test, and controls cannot replace the primary strategy after inspecting the holdout data. The test did not validate certain mechanics, including adjusted dividend mechanics, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This test is not related to Nagel's 48-industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a trading strategy. The strategy involves nine sector ETFs, with daily bars adjusted for dividends and splits, from January 4, 2016, to December 31, 2020. Each week, the strategy buys the sector with the worst return over the previous five sessions, but only if that return is negative. The buy signal is based on the prior day's close and the next day's open, with a cash-only fractionalsleeve, which means a portion of the investment is in cash. The strategy uses a stop-loss, or a price level at which to automatically sell, based on the average true range, or ATR, a measure of price volatility, over 20 days, with a target of three times the risk, or R, and a barrier, or price level, two times the R above the target. The strategy also has a weekly time exit, meaning it sells at the end of each week. There are fees of one basis point, or 1bp, plus slippage, or the difference between the expected and actual trade price, of 15bp on each side of the trade. The strategy has four phases per day and uses a vectorbt, a type of backtesting framework, for long-only, or buy-only, trades, with cash sharing reconciled every day. The strategy does not use hidden leverage, or borrowing to increase investment. The mean trade confidence interval, or CI, is between -0.45947011023146633 and 0.0412389443528169 percent, based on 5000 bootstrap samples, which are random samples of the data. The reasons for trades are: stop-loss 102 times, time exit 101 times, gap stop, or a stop-loss based on a large price gap, 11 times, and target 6 times. There were 22 partial trades and 32 same-day final exits. The current incomplete week is excluded from the analysis, and all observations and source data are archived. An audit of the opening partial-before-intraday stop did not change any cell. The conclusion is that the primary strategy fails to be cost-robust, and controls cannot replace the primary strategy after inspection. Adjusted dividend mechanics, actual 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader, or PDT, rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not based on Nagel's 48-industry daily short portfolio.

A news scan found the note: Frozen note2174. The premises of this test are: 1. Nine sector ETFs, with all-adjusted daily bars, from 2021-01-04 05:00:00+00:00 to 2026-09-10 04:00:00+00:00. The strategy buys the worst-performing sector from the previous 5 sessions if it is negative, using the prior close as a signal to fill at the next open, with one cash-only fractional sleeve. The strategy uses an ATR20 stop, which is a volatility-based stop-loss, with a target of 3R, and a break-even point the following day. It also uses a gap open, conservative barriers, and a weekly time exit. 2. The fees are 1 basis point plus slippage of 5 basis points on each side. The strategy has four phases per day, using a vectorbt long-only cash-sharing approach, reconciled every day, with no hidden leverage. 3. The mean trade confidence interval is between -0.14919233063956544% and 0.4504968275114483%, based on a month cluster of 5000 bootstrap samples. The reasons for the strategy's decisions are: gap target of 2, stop of 103, time of 128, gap stop of 15, and target of 7. There were 36 partial exits and 27 same-day final exits. 4. The current incomplete week is excluded, and all observations and sources are archived. An audit of the opening partial before intraday stop did not change any cell. The conclusion of this research is that the primary strategy fails the cost robustness test, and controls cannot replace the primary strategy after holdout inspection. The mechanics of adjusted dividends, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and PDT remain unvalidated. The source of this data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not Nagel's 48 industry daily short portfolio.

A frozen note, number 2174, outlines the premises of a trading strategy. The strategy involves nine sector ETFs, with daily price adjustments, from January 4, 2016, to December 31, 2020. Each week, the strategy buys the sector that performed the worst over the previous five sessions, but only if that performance was negative. The purchase is made at the next available opening price, with a fraction of the available cash. The strategy uses a stop-loss order, which is a type of order that automatically sells a security when it falls to a certain price, in this case, 1 times the average true range over 20 days, and a target price, which is 3 times the average true range. If the target is reached, the strategy aims to make an additional 2 times the average true range. The strategy also includes a time exit, which means that the position is closed at the end of the week. There are fees of 1 basis point, plus a slippage of 5 basis points on each side of the trade. The strategy is long-only, meaning it only buys securities, and it shares cash among the different positions. The strategy does not use leverage, which means it does not borrow money to make trades. The mean trade confidence interval is between -0.21% and 0.28%, based on 5000 bootstrap samples. The reasons for closing trades are: gap stop, which means the price gap at the opening, 12 times, time exit, 114 times, stop-loss order, 88 times, and target price, 6 times. There were 26 partial exits and 25 same-day final exits. The current incomplete week is excluded from the analysis, and all observations and source data are archived. An audit of the opening partial before intraday stop did not change any of the results. The conclusion is that the primary strategy fails to be robust, and the controls cannot replace the primary strategy after inspecting the holdout data. The mechanics of adjusted dividends, 15-minute monitor fills, fractional to whole-share partial exits, slippage estimates, and pattern day trader rules remain unvalidated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. This adaptation is not related to Nagel's 48 industry daily short portfolio.

The premises of the aluminum market are based on several factors. Firstly, Emirates Global Aluminium (EGA) is expected to restart 315 out of 1262 cells by August 26, with full output forecasted for Q1 2027, according to their website. The company's H1 issuer reports also mention distinct shipping constraints, but this does not necessarily mean a recovery in export deliveries. Secondly, Century Aluminum's (CENX) 2025 power terms imply a cost of 15.33 MWh/t at capacity, and a hypothetical $500/t premium would be offset by a $32.6158/MWh power cost at Sebree, before considering alumina, hedges, and other costs. A 450kt US full capacity with a $500/t premium would generate $225m/y gross, but if only Sebree power costs increase by $25/MWh, the cost would be $84.315m/y, resulting in $140.685m/y or $35.171m/quarter before other offsets. Neither the $500 premium nor the $25 power move is forecasted. The LME indexed Iceland power and alumina dampen metal beta, and Glencore's 54% sales and limited input suppliers add counterparty risk. Thirdly, CENX's August 6 report shows a Q3 EBITDA midpoint of $335, which is only 2.478% above Q2, and H1 CFO of $236, with capex of $134.4, resulting in $101.6m. The company's equity proxy is $4391.34m, with an EV of $4527.94m, and a 3.463x annualized Q2 EBITDA, but a 4.627% annualized H1 FCF yield. However, this is not considered fair value as it misses NCI, leases, pensions, current dilution, tax refund timing, cycle, and growth capex. Fourthly, downstream companies are not automatic losers, as seen with CSTM's Q2 ex-lag of $310m versus $165m, with a 29.385% non-cash lag, and H1 FCF of $95, which needs to be above $205 in H2 to meet the guide of $300. KALU's metal pass-through and conversion also show a positive trend, with $437m versus $374.2. In conclusion, a positive operating rent exists, but the latest cash and contract evidence is necessary. The logical existence of scarcity does not necessarily mean positive stock expectancy, as energy prices can rise, metal prices can reverse, or rolling capacity can restart. The facts stop at the cited periods, and sensitivity and annualization are assumptions. A strong counterargument is that a cheap CENX multiple cannot normalize earnings by itself.

A news scan found the following information about BFRI911. There are several premises to consider: 1. On May 14, the issuer announced a September 28 PDUFA date, which is the date by which the FDA must make a decision, with a primary clearance of 65.5% versus 4.8% in 145 out of 42 cases after the last cycle, using the legacy BF-Rhodo LED. 2. On May 6, the agency made an explicit decision covering five panel illuminators and a 5-ALA combination, with limited repair and warranty exceptions, which is a type of agreement that allows for certain repairs or replacements. 3. On September 1, the agency published a decision on September 4 to lift the suspension that started on August 28, and on August 13, the MD&A stated that the earlier state is outdated, referring to the Management's Discussion and Analysis section of a financial report. 4. On June 4, the CBP redesign request response is expected in September or October by the issuer, with no firm date or clearance recovered, where CBP refers to the Customs and Border Protection agency. There are three main points to consider: first, a favorable FDA label would widen the eligible use but would not amend the patent order, which is a legal document that outlines the ownership and use of a patent. Second, legacy lamps can continue to generate revenue, but the XL redesign needs separate legal and regulatory execution, and financing and working capital can absorb the upside, meaning the potential benefits. Third, Sun benefits from enforcement, AG from earnout and preferred claims, and patients and providers from an additional option if approved, with equity tail depending on cash per share after these claims, where earnout refers to a payment made to a company based on its performance. The countercase is that the legacy base is large enough and the redesign is cheap, at $0.4 million in future accrual, so parallel clearances could produce a big jump, but the probability and timing are unknown. The current binding constraint is independent net runup edge and current clearance, not clinical p-value or the $349 shortfall, where p-value refers to a statistical measure of significance. The facts stop at primary records, and causal outcomes are conditional, meaning they depend on certain conditions. The sources of this information include the US International Trade Commission, the Federal Register, ClinicalTrials.gov, and the Securities and Exchange Commission.

The company BFRI911 has a cash bridge and dilution that constrain the FDA rerating case. The premises are as follows: as of June 30, the company had $4.659 million in cash, and for the first half of the year, the chief financial officer reported a loss of $1.728 million. The summed statement of working capital source is $2.161 million, which means the pre-working capital cash is $3.889 million. The management and administrative costs are $2.2 million, which is an unresolved narrative sign error. If we exclude the related accounts payable paydown of $3.714 million, the company's cash flow from operations would be $1.986 million, but excluding the third-party accounts payable increase of $2.461 million gives a negative $0.475 million. The company's monthly pre-working capital burn is $0.6482 million, which translates to 7.19 months of simple cash, versus the reported burn of $0.288 million, which is 16.18 months. These are mechanical sensitivities from June 30 and not forecasts. The going concern doubt persists. The cost reset is structural, but the current 80% gross margin is not infinite. The annual Ameluz earnout is 12% if it is less than or equal to $65 million, and 15% on all revenue above $65 million. If the revenue increases from $65 million to $65.01 million, the earnout would be $1.9515 million. A constant 77% contribution requires an extra $2.534 million in revenue, which is an illustration, not a forecast. As of June 30, the potential shares are 43.55556 million, and on July 8, 0.552483 million shares were already converted, and on August 11, 14.852359 million shares were in common stock. The debt conversion does not bring cash, and the out-of-money warrant proceeds are unavailable. In conclusion, real operating improvement does not establish a pre-event payoff. The bull case is legacy utilization funds launch, which needs actual post-restriction cash and clearance. The sources of this information are https://www.sec.gov/Archives/edgar/data/1858685/000149315226037834/form10-q.htm and https://www.sec.gov/Archives/edgar/data/1858685/000149315226037610/ex99-1.htm.

A news scan found the headline about BlackBerry's weak daily regime, which is insufficient evidence for a put. The edge test was frozen on September 11, with BlackBerry's stock price at 7.54. The October 2 call option with a strike price of 8 requires an increase of 11.405836% to be profitable, covering 3 out of 12 periods, or 25%. The October 2 put option with a strike price of 7 requires a decrease of 11.405836% to be profitable, covering 2 out of 12 periods, or 16.67%. Over the past 12 quarterly releases, from September 2023 to June 2026, the median absolute change in stock price from before to after the news was 9.987505%. Neither the 40% gate nor the documented 3 times expected option payout was met. The October 2 expiry is 8 days after the September 24 event, and the default exit on September 23 was not met because the hurdle exceeded the median by 1.418331 percentage points. Sources include issuer-dated event observations 24113-24126, and data from https://investors.blackberry.com/, https://runway.adityaperswal.workers.dev/data/stock-bars, and https://runway.adityaperswal.workers.dev/data/option-bars. Key statistics include a SIP adjustment on September 10, a Wilder Exponential Weighted Moving Average, or EWMA, of 14, and a Relative Strength Index, or RSI, of 38.0472. The stock's current price of 7.54 is below both its 20-day and 50-day Simple Moving Averages, or SMAs. The realized volatility over the past 20 days is 55.2129% annualized, and over the past 60 days is 76.3078%. The return over the past 20 days was -14.0251%, and the range was 7.47-9.08. The combined lower trend and RSI below 50 signal weakness, and the falling realized volatility means recent realized volatility is lower than the 60-day regime. These statistics are descriptive and do not include a fitted put win probability. A put break-even point of 6.68 lies 10.5756% below the 20-day low of 7.47, near the 7.5 put with a cost of 0.52, which is greater than the 0.510594 cap. An ATR stop, or Average True Range stop, cannot bound the option premium or overnight gap, and to reach the full risk targets of call 1.60 or put 1.28, there would need to be a major repricing, but there is no evidence that the current priced tails reach these levels. A strong countercase is a trend turn after good results, but a call on stock upside does not mean an expensive call is profitable, and indicators do not override the 3 out of 12 and 2 out of 12 periods.

A news scan found the headline about BlackBerry. A study of twelve quarterly releases from September 2023 to June 2026 was done. The median absolute change in the stock price after these releases was 9.987505%. The study looked at the prices of call and put options for BlackBerry on September 11 and October 2. The call option price was 0.40 and the put option price was 0.32. The study found that the call option would require a 11.405836% increase in the stock price to be profitable, and the put option would require a 11.405836% decrease. The study also found that the stock price did not move enough to make either option profitable in 8 out of 12 cases. The options expire on October 2, which is 8 days after the quarterly release on September 24. The study used data from the BlackBerry investor website and other sources. The study had some limitations, including a small sample size and no independent historical options data. The results of the study suggest that the current call and put options may not be profitable.