A news scan found the text: Frozen1431; 2026 through September 8 extension, not model selection. The main process was completed prior to the IBS, which is a measure of volatility, being less than or equal to 0.2, the next session will open long, with a stop at 1 prior 20 session Average Daily Range and a target of 1.5 Average Daily Range or close; the first adverse barrier. There is an independent 1000 USD cash sleeve, with a vectorbt long only strategy and a proportional 1 basis point fee plus 5 basis points lip on each side, with a stress of 1 plus 15. All 29 cells have thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and fees of 0, 6, and 16 basis points, and 2 buy holds in observations 18260, 18261, 18262, 18263, and 18264. The green half plus 1 Average Daily Range then becomes the target on the remainder, with conservative daily ordering; the averaged exit matches the proportional cost of cash but not fixed fees, with 15 minute whole lot execution. The DD synthetic open and exit marks are not full intraday. The vbt trade return denominator entry value excludes the entry fee; the cash mean is the mean divided by 1.0001 for costed cells. The complete 8 asset fixed universe includes all 2685 dates from 2016 to September 8; there is no survivorship bias and all ETF claims are included. The same protocol is used in the holdout from 1642 to 1649; a positive train and recent result does not qualify alone. The source is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the headline 'QIR90908 FXI extension IBS: all29 frozen cells'. This refers to a trading strategy, where IBS stands for a statistical method to identify trends. The strategy was extended through September 8, 2026, without selecting a new model. The main part of the strategy was completed when a certain condition, called IBS, was less than or equal to 0.2. The next session will open a long position, with a stop loss at 1 prior 20 session average daily range and a target at 1.5 times the average daily range, or it will close. There is also an independent cash sleeve of 1000 USD, with a long-only strategy and a fee of 1 basis point plus 5 basis points for each trade, with a stress test of 1 plus 15. All 29 cells have thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and fees of 0, 6, and 16 basis points. There are 2 buy holds in observations 18255, 18256, 18257, 18258, and 18259. The strategy also includes a daily ordering system, where half of the position is closed at a certain price, and the remainder is closed at a target price. The average exit matches the proportional cost of cash, but not the fixed fees, with a 15-minute whole lot execution. The source is a data feed from https://runway.adityaperswal.workers.dev/data/stock-bars, which provides stock bar data for symbols SPY, QQQ, IWM, EEM, EFA, EWJ, EWZ, and FXI, with a timeframe of 1 day, and adjustments for all ETF claims.
A news scan found the text: Frozen1431; 2026 through September 8 extension, not model selection. The main process was completed prior to IBS, which is a measure of volatility, being less than or equal to 0.2, the next session will open long, with a stop at 1 prior 20 session average daily range and a target at 1.5 times the average daily range or close, with an adverse barrier first. There is an independent 1000 USD cash sleeve, with a long only strategy using vectorbt, and a proportional 1 basis point fee plus 5 basis points lip on each side, with a stress test of 1 plus 15. All 29 cells have thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and fees of 0, 6, and 16 basis points, and 2 buy holds in observations 18250, 18251, 18252, 18253, and 18254. The green half plus 1 average daily range then becomes the target on the remainder, with conservative daily ordering, and the averaged exit matches the proportional cost of cash but not fixed fees, with a 15 minute whole lot execution. The synthetic open and exit marks are not full intraday. The trade return denominator entry value excludes the entry fee, and the cash mean is the mean divided by 1.0001 for costed cells. The complete 8 asset fixed universe includes all 2685 dates from 2016 to September 8, with no survivorship bias for all ETF claims. The same protocol is used in the holdout from 1642 to 1649, and a positive train and recent result does not qualify alone. The source is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the headline 'QIR90908 EWJ extension IBS: all29 frozen cells'. This refers to a trading strategy, where IBS stands for a statistical method to identify trends. The strategy was extended through September 8, 2026, without selecting a new model. The main strategy was completed when a certain condition, called IBS, was less than or equal to 0.2. The next session will open a long position, with a stop loss at 1 prior 20 session average daily range and a target at 1.5 times the average daily range, or the position will be closed. There is also an adverse barrier. The strategy has a cash sleeve of 1000 USD, uses a long-only approach with a fee of 1 basis point plus a 5 basis point slip on each side, and a stress test of 1 plus 15. All 29 cells have thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and fees of 0, 6, and 16 basis points. There are 2 buy holds in observations 18245, 18246, 18247, 18248, and 18249. The strategy also includes a green half plus 1 average daily range, then a barrier equals target on the remainder, with conservative daily ordering. The average exit matches the proportional cost of cash but not fixed fees, with a 15-minute whole lot execution. The source is a data feed from https://runway.adityaperswal.workers.dev/data/stock-bars, which provides stock bars for symbols SPY, QQQ, IWM, EEM, EFA, EWJ, EWZ, and FXI, with a 1-day timeframe, sip feed, and all adjustments.
A news scan found the headline 'QIR90908 EFA extension IBS: all29 frozen cells'. This refers to a trading strategy update. The update mentions a 2026 through September 8 extension, not a model selection. The main strategy was completed prior to an IBS, or Internal Bar Strength, of less than or equal to 0.2, with the next session open to a long position, and a stop at 1 prior 20 session Average Daily Range, or ADR, and a target of 1.5 ADR, or close. An adverse barrier was considered first. There is a 1000 USD cash sleeve, with a vector backtest long only and a proportional 1 basis point fee plus 5 basis points lip on each side, with a stress of 1 plus 15. All 29 cells have thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and 0, 6, and 16 basis points, and 2 buy holds in observations 18240, 18241, 18242, 18243, and 18244. The strategy has a green half plus 1 ADR, then a barrier to entry, or BE, and target on the remainder, with conservative daily ordering. The average exit matches the proportional cost of cash, but not fixed fees, with a 15-minute whole lot execution. The DD synthetic open and exit marks are not full intraday. The vector backtest trade return denominator entry value excludes the entry fee, and the cash mean is the mean divided by 1.0001 for costed cells. The strategy is based on a complete 8-asset fixed universe, with all 2685 dates from 2016 to September 8, with no survivorship bias and all ETF claims. The same protocol is used in the holdout from 1642 to 1649, and a positive train and recent result does not qualify alone. The source is https://runway.adityaperswal.workers.dev/data/stock-bars, with symbols SPY, QQQ, IWM, EEM, EFA, EWJ, EWZ, and FXI, and a timeframe of 1 day, feed of sip, and adjustment of all.
A news scan found the headline 'QIR90908 EEM extension IBS: all29 frozen cells'. This refers to a trading strategy update. The update mentions a 2026 through September 8 extension, which does not involve model selection. The main strategy was completed prior to the IBS, which stands for Internal Bar Strength, being less than or equal to 0.2. The next session will open long, with a stop at 1 prior 20 session Average Daily Range, or ADR, and a target of 1.5 ADR, or close. There is an adverse barrier first. The strategy also includes an independent 1000 USD cash sleeve, with a vector backtest, or vbt, long only and a proportional 1 basis point fee plus 5 basis points lip on each side, and stress 1 plus 15. All 29 cells have thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and 0, 6, and 16 basis points, and 2 buy holds in observations 18235, 18236, 18237, 18238, and 18239. The strategy also involves a green half plus 1 ADR, then a break even or target on the remainder, with conservative daily ordering. The average exit matches the proportional cost of cash, but not fixed fees, with 15 minute whole lot execution. The DD synthetic open and exit marks are not full intraday. The vbt trade return denominator entry value excludes the entry fee, and the cash mean is the mean divided by 1.0001 for costed cells. The strategy is based on a complete 8 asset fixed universe, with all 2685 dates from 2016 to September 8, and no survivorship bias for all ETF claims. The same protocol is used in the holdout from 1642 to 1649, and a positive train or recent result does not qualify alone. The source of this information is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the headline 'QIR90908 SPY train IBS: all29 frozen cells'. This refers to a trading strategy, where IBS stands for a statistical method to identify trends. The details are as follows: Frozen1431, which is a specific set of data, was used for training from 2016 to 2020, without adjusting any parameters. The main rule is to complete a trade prior to a certain threshold, then open a long position at the next session, with a stop loss at 1 prior 20 session Average Daily Range and a target at 1.5 times that range, or close the position; the first adverse move will trigger a stop. There is a separate 1000 USD cash allocation, with a strategy called vectorbt, which is a long-only approach, and a fee of 1 basis point plus 5 basis points for each transaction, with a stress test of 1 plus 15. All 29 cells have thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and fees of 0, 6, and 16 basis points, and 2 buy holds in observations 18226, 18228, 18230, 18232, and 18234. The strategy also includes a rule to buy half at 1 Average Daily Range, then buy or sell the remainder based on a conservative daily ordering; the average exit matches the proportional cost of cash, but not fixed fees, with a 15-minute whole lot execution. The source of this information is https://runway.adityaperswal.workers.dev/data/stock-bars, which provides stock bar data for symbols SPY, QQQ, IWM, EEM, EFA, EWJ, EWZ, and FXI, with a 1-day timeframe and all adjustments.
A news scan found the headline 'QIR90908 QQQ train IBS: all29 frozen cells'. This refers to a trading strategy, where IBS stands for a statistical method to analyze price movements. The strategy was trained on data from 2016 to 2020 without adjusting parameters. The main rule is to open a long position at the next session if the prior IBS is less than or equal to 0.2, with a stop loss at 1 prior 20 session average daily range and a target at 1.5 times that range, or close the position. The strategy also includes an adverse barrier. It uses a 1000 USD cash sleeve, with a long-only approach and a fee of 1 basis point plus a 5 basis point slip on each side, and a stress test of 1 plus 15. All 29 cells have thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and fees of 0, 6, and 16 basis points. There are 2 buy holds in observations 18215, 18217, 18219, 18221, and 18223. The strategy also includes a rule to open a position at half the average daily range plus 1 average daily range, then use a benchmark and target on the remainder, with conservative daily ordering. The average exit matches the proportional cost of cash, but not fixed fees, with 15-minute whole lot execution. The strategy does not include full intraday synthetic open and exit marks. The trade return denominator entry value excludes the entry fee, and the cash mean is calculated as the mean divided by 1.0001 for costed cells. The strategy was tested on a complete 8-asset fixed universe, with all 2685 dates from 2016 to September 8, without survivorship bias, and all ETF claims. The same protocol was used in the holdout period from 1642 to 1649, and a positive train and recent result does not qualify alone. The source of this information is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the text: Frozen1431; 2016–2020 training, no parameter optimization. The main strategy was completed prior to IBS, which is a measure of volatility, being less than or equal to 0.2, then the next session open long, with a stop at 1 prior 20 session average daily range and a target at 1.5 times the average daily range or close, with an adverse barrier first. An independent 1000 USD cash sleeve was used, with a vectorbt long only strategy and a proportional 1 basis point fee plus 5 basis points lip on each side, and stress 1 plus 15. All 29 cells had thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and fees of 0, 6, and 16 basis points, and 2 buy holds in observations 18205, 18207, 18209, 18211, and 18213. The strategy was to go green, then add 1 average daily range, then use a target on the remainder, with conservative daily ordering. The average exit matched the proportional cost of cash, but not the fixed fees, with 15 minute whole lot execution. The synthetic open and exit marks were not full intraday. The trade return denominator entry value excluded the entry fee, and the cash mean was the mean divided by 1.0001 for costed cells. The complete 8 asset fixed universe was used, with all 2685 dates from 2016 to September 8, with no survivorship bias for all ETF claims. The same protocol was used in the holdout period from 1642 to 1649, and a positive train and recent result does not qualify alone. The source is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the headline 'QIR90908 FXI train IBS: all29 frozen cells'. This refers to a trading strategy, where IBS stands for a trading indicator. The strategy was trained on data from 2016 to 2020 without adjusting parameters. The main rule is to open a long position if the previous session's IBS is less than or equal to 0.2, with a stop loss at 1.5 times the average daily range and a target at 1.5 times the average daily range, or close the position. The strategy also considers an adverse barrier first. The strategy uses a 1000 USD cash sleeve, with a long-only approach and a fee of 1 basis point plus a 5 basis point slip on each side, and a stress test of 1 plus 15. All 29 cells have thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and fees of 0, 6, and 16 basis points. There are 2 buy holds in observations 18194, 18196, 18198, 18200, and 18202. The strategy also considers a green half plus 1 average daily range, then a break even or target on the remainder, with conservative daily ordering. The average exit matches the proportional cost of cash, but not fixed fees, with 15-minute whole lot execution. The strategy does not include full intraday synthetic open and exit marks. The trade return denominator entry value excludes the entry fee, and the cash mean is the mean divided by 1.0001 for costed cells. The strategy is applied to a fixed universe of 8 assets, with all 2685 dates from 2016 to September 8, without survivorship bias, and all ETF claims. The same protocol is applied to the holdout period from 1642 to 1649, and a positive train and recent result does not qualify alone. The source of this information is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the headline 'QIR90908 EWZ train IBS: all29 frozen cells'. This refers to a trading strategy, where IBS stands for a statistical method to identify trends. The report states that from 2016 to 2020, the strategy was trained without adjusting parameters. The main rule was to complete a trade if a certain condition, called IBS, was less than or equal to 0.2, then open a long position at the next session, with a stop loss at 1.5 times the average daily range and a target or close. If an adverse condition occurred, it would act as a barrier. The strategy used a 1000 USD cash sleeve, with a long-only approach and a fee of 1 basis point plus a 5 basis point slip on each side, with a stress test of 1 plus 15. All 29 cells had thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and fees of 0, 6, and 16 basis points. There were 2 buy holds in observations 18184, 18185, 18187, 18189, and 18191. The strategy also included a rule to buy half of the position at 1 average daily range, then buy or sell the remainder based on a target, with conservative daily ordering. The average exit matched the proportional cost of cash, but not fixed fees, with 15-minute whole lot execution. The report notes that synthetic open and exit marks were not full intraday. The trade return denominator entry value excluded the entry fee, and the cash mean was calculated as the mean divided by 1.0001 for costed cells. The strategy was tested on a fixed universe of 8 assets, with all 2685 dates from 2016 to September 8, without survivorship bias, and all ETF claims. The same protocol was used in the holdout period from 1642 to 1649, but a positive train and recent result does not qualify alone. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars, which provides stock bars for symbols SPY, QQQ, IWM, EEM, EFA, EWJ, EWZ, and FXI, with a 1-day timeframe, SIP feed, and all adjustments.
A news scan found the headline 'QIR90908 EWJ train IBS: all29 frozen cells'. The text that follows is a description of an automated trading system. The system was trained on data from 2016 to 2020 without adjusting its parameters. The main rule is to open a long position at the next session if the previous IBS, or Internal Bar Strength, is less than or equal to 0.2, and to set a stop loss at 1.5 times the average daily range and a target at 1.5 times the average daily range or close the position. The system also has an adverse barrier. It uses a 1000 USD cash sleeve, and charges a fee of 1 basis point plus a 5 basis point slip on each side, with a stress test of 1 plus 15. The system has 29 cells with thresholds of 0.1, 0.2, and 0.3, and it can be open, managed, or green, with fees of 0, 6, and 16 basis points. There are 2 buy holds in observations 18179, 18180, 18181, 18182, and 18183. The system uses a conservative daily ordering, with a green half plus 1 average daily range, then a barrier to entry and target on the remainder. The average exit matches the proportional cost of cash, but not fixed fees, with a 15-minute whole lot execution. The system does not have full intraday synthetic open and exit marks. The trade return denominator entry value excludes the entry fee, and the cash mean is the mean divided by 1.0001 for costed cells. The system uses a complete 8-asset fixed universe, with all 2685 dates from 2016 to September 8, and does not claim survivorship bias for all ETFs. The same protocol is used in the holdout from 1642 to 1649, and a positive train and recent result does not qualify alone. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the headline 'QIR90908 EFA train IBS: all29 frozen cells'. This refers to a trading strategy, where IBS stands for a statistical method to identify trends. The strategy was trained on data from 2016 to 2020 without adjusting parameters. The main goal was completed when a condition called IBS was less than or equal to 0.2, then the next session would open a long position, with a stop loss at 1.5 times the average daily range and a target or close. There was also an adverse barrier. The strategy used 1000 USD in cash, with a fee of 1 basis point plus 5 basis points for each trade, and stress tested with a factor of 1 plus 15. All 29 cells had thresholds of 0.1, 0.2, and 0.3, with open, managed, and green statuses, and fees of 0, 6, and 16 basis points. There were 2 buy and hold observations in trades 18174, 18175, 18176, 18177, and 18178. The strategy would open a position at half the average daily range plus 1, then set a target on the remainder, with conservative daily ordering. The average exit matched the proportional cost of cash, but not fixed fees, with 15-minute whole lot execution. The source is a data feed from https://runway.adityaperswal.workers.dev/data/stock-bars, which includes symbols SPY, QQQ, IWM, EEM, EFA, EWJ, EWZ, and FXI, with a 1-day timeframe and all adjustments.
A news scan found the headline 'QIR90908 EEM train IBS: all29 frozen cells'. This refers to a training session for an automated trading system. The system was trained on data from 2016 to 2020 without adjusting any parameters. The main strategy was to open a long position if the previous session's IBS, or Internal Bar Strength, was less than or equal to 0.2, and to set a stop loss at 1.5 times the average daily range and a target at 1.5 times the average daily range. If the trade hit an adverse barrier first, it would be closed. The system used a 1000 USD cash sleeve and a long-only strategy with a fee of 1 basis point plus a 5 basis point slip on each side. The system was stressed with a factor of 1 plus 15. All 29 cells had thresholds of 0.1, 0.2, and 0.3, and were categorized as open, managed, or green, with fees of 0, 6, and 16 basis points. There were 2 buy holds in observations 18169, 18170, 18171, 18172, and 18173. The system used a conservative daily ordering strategy, where half of the position was closed at a gain of 1 average daily range, and the remainder was closed at a target or a stop loss. The average exit matched the proportional cost of cash, but not the fixed fees, and was executed in whole lots every 15 minutes. The synthetic open and exit marks were not fully available intraday. The trade return denominator entry value excluded the entry fee, and the cash mean was calculated as the mean divided by 1.0001 for costed cells. The system was trained on a fixed universe of 8 assets, including SPY, QQQ, IWM, EEM, EFA, EWJ, EWZ, and FXI, over 2685 dates from 2016 to September 8. The system did not account for survivorship bias, and all ETFs were claimed. The same protocol was used in the holdout period from 1642 to 1649, but a positive training result alone does not qualify the system. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the note: Frozen note1431. The main rule is to buy when the lagged IBS, or Internal Bar Strength, a measure of price movement, is less than or equal to 0.2. The buy is made at the next open, with a stop loss at either the same session's close or 1 prior 20-day Average Daily Range, and a target at 1.5 times the Average Daily Range. If both the stop loss and target are touched, the stop loss is executed first. The costs are 6 basis points per side, which includes a 1 basis point fee and 5 basis points of slippage, with an additional 1 basis point of stress and 15 basis points of extra stress. The strategy uses cash only, is long only, starts with 1000 USD, and does not use leverage. It is an independent symbolic sleeve with hypothetical fractional execution. There are 29 frozen cells based on thresholds of 0.1, 0.2, and 0.3, with zero, base, and stress costs, and open, managed, and green rules, plus two buy-hold benchmarks. The green half plus 1 Average Daily Range, and the remainder break even, is a preregistered diagnostic, not a rescue choice. Each result is reconciled with vectorbt cash curve and independent product of trade cash returns at a 1e-8 tolerance and exact trade count. The green weighted average exit equals proportional half-fill proceeds but does not validate fixed fees or 15-minute whole-share partials. The data is adjusted for corporate actions, but does not include a raw cash dividend ledger. The return metrics are the main vectorbt trade profit and loss divided by the entry value, with win, loss, and mean divided by 1.0001 for the cash denominator, and the portfolio return unchanged. The synthetic open and exit marks omit intraday unrealized adversity. All 29 cells, including positive control results and full precision metrics, are in observations 18161, 18162, 18163, 18164, and 18165. There is no post-hoc asset or parameter selection. The ETFs are correlated, and there is no claim of 29 independent trials. The source is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the note: Frozen note1431. The main rule is to buy when the lagged IBS, which stands for Internal Bar Strength, a measure of price movement, is less than or equal to 0.2. The buy is made at the next open, with a stop loss at either the same session close or 1 prior 20-day Average Daily Range, and a target at 1.5 times the Average Daily Range. If both the stop loss and target are touched, the stop loss is executed first. The costs are 6 basis points per side, which includes a 1 basis point fee and 5 basis points of slippage, with an additional 1 basis point of stress. The strategy uses cash only, is long only, starts with 1000 USD, and does not use leverage. It is an independent symbolic sleeve with hypothetical fractional execution. There are 29 frozen cells based on thresholds of 0.1, 0.2, and 0.3, with zero, base, and stress costs, and open, managed, and green rules, plus 2 buy hold benchmarks. The green half plus 1 Average Daily Range, and the remainder break even, is a preregistered diagnostic, not a rescue choice. Each result reconciles the vectorbt cash curve with the independent product of trade cash returns at a 1e-8 tolerance and exact trade count. The green weighted average exit equals the proportional half-fill proceeds, but does not validate fixed fees or 15-minute whole-share partials. The data is adjusted for corporate actions, but does not include a raw cash dividend ledger. The return metrics are the main vectorbt trade Profit and Loss divided by the entry value, with the win, loss, and mean divided by 1.0001 for the cash denominator, and the portfolio return unchanged. The Downside Deviation synthetic open and exit marks omit intraday unrealized adversity. All 29 cells, including positive control results and full precision metrics, are in observations 18156, 18157, 18158, 18159, and 18160. There is no post-hoc asset or parameter selection. The ETFs are correlated, and there is no claim of 29 independent trials. The source is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the note: Frozen note 1431. The main rule is to buy when the lagged Internal Bar Strength, or IBS, is less than or equal to 0.2, and then close the position at the next open or when the stop or target is reached, which is 1.5 times the Average Daily Range, or ADR, with a stop if both are touched. The costs are 6 basis points per side, which includes a 1 basis point fee and 5 basis points of slippage, with an added stress of 1 plus 15 basis points. The initial investment is 1000 USD with no leverage, and it is a long-only, cash-only, independent symbolic investment. The thresholds are 0.1, 0.2, and 0.3, with zero, base, and stress costs, and open, managed, and green rules, plus two buy-hold benchmarks, which give 29 possible outcomes. The green half plus 1 ADR, and the remainder best effort, is a preregistered diagnostic, not a rescue choice. Each result is checked against the vectorbt cash curve with an independent product of trade cash returns at a tolerance of 1e-8 and exact trade count. The green weighted average exit equals the proportional half-fill proceeds, but does not validate fixed fees or 15-minute whole-share partials. The data used is adjusted corporate action data, with no raw cash dividend ledger. The return metrics are the main vectorbt trade profit and loss, divided by the entry value, with win, loss, and mean divided by 1.0001 for the cash denominator, and the portfolio return is unchanged. The synthetic open and exit marks omit intraday unrealized adversity. All 29 possible outcomes, including positive control results and full precision metrics, are in observations 18151, 18152, 18153, 18154, and 18155. There is no post-hoc asset or parameter selection. The ETFs are correlated, and there is no claim of 29 independent trials. The source is https://runway.adityaperswal.workers.dev/data/stock-bars, which includes symbols SPY, QQQ, IWM, EEM, EFA, EWJ, EWZ, and FXI, with a 1-day timeframe, SIP feed, and all adjustments.
A news scan found the note: Frozen note1431. The main rule is to buy when the lagged IBS, or Internal Bar Strength, which is a measure of a stock's recent price movement, is less than or equal to 0.2. The buy order is executed at the next open, and the position is closed either at the end of the same session or when the price reaches 1 times the prior 20-day Average Daily Range, with a stop-loss at 1.5 times the Average Daily Range. The stop-loss is triggered first if both the stop-loss and target are touched. The costs are 6 basis points per side, which includes a 1 basis point fee and 5 basis points of slippage, with an additional 1 basis point of stress cost and 15 basis points of stress. The strategy uses cash only, is long-only, starts with 1000 USD, and does not use leverage. It is an independent symbolic sleeve with hypothetical fractional execution. There are 29 frozen cells, which are combinations of thresholds, costs, and rules. The thresholds are 0.1, 0.2, and 0.3, with zero, base, and stress costs, and open, managed, and green rules, plus two buy-hold benchmarks. The green half plus 1 Average Daily Range, and the remainder is a preregistered diagnostic, not a rescue choice. Each result reconciles the vectorbt cash curve with the independent product of trade cash returns at a 1e-8 tolerance and exact trade count. The green weighted average exit equals the proportional half-fill proceeds, but does not validate fixed fees or 15-minute whole-share partials. The data is adjusted for corporate actions, but does not include a raw cash dividend ledger. The return metrics are the main vectorbt trade profit and loss divided by the entry value, with the win, loss, and mean divided by 1.0001 for the cash denominator, and the portfolio return unchanged. The synthetic open and exit marks omit intraday unrealized adversity. All 29 cells, including positive control results and full precision metrics, are in observations 18146, 18147, 18148, 18149, and 18150. There is no post-hoc asset or parameter selection. The ETFs are correlated, and there is no claim of 29 independent trials. The source is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the note: Frozen note 1431. The main rule is to buy when the lagged Internal Bar Strength, or IBS, which is a measure of a stock's recent price movement, is less than or equal to 0.2. The buy order is executed at the next open, with a stop loss at either the same session's close or 1 prior 20-day Average Daily Range, and a target at 1.5 times the Average Daily Range. If both the stop loss and target are touched, the stop loss is executed first. The costs are 6 basis points per side, which includes a 1 basis point fee and 5 basis points of slippage, with an additional 1 basis point of stress cost and 15 basis points of extra stress. The strategy uses cash only, is long only, starts with 1000 USD, and does not use leverage. It is an independent symbolic sleeve with hypothetical fractional execution. There are 29 frozen cells, which are combinations of thresholds, costs, and rules. The thresholds are 0.1, 0.2, and 0.3, with zero, base, and stress costs, and open, managed, and green rules, plus two buy-hold benchmarks. The green half plus 1 Average Daily Range, and the remainder Best Effort, is a preregistered diagnostic, not a rescue choice. Each result reconciles the vectorbt cash curve with the independent product of trade cash returns at a 1e-8 tolerance and exact trade count. The green weighted average exit equals the proportional half-fill proceeds, but does not validate fixed fees or 15-minute whole-share partials. The data is adjusted for corporate actions, but does not include a raw cash dividend ledger. The return metrics are the main vectorbt trade Profit and Loss, divided by the entry value, with win, loss, and mean divided by 1.0001 for the cash denominator, and the portfolio return unchanged. The Downside Deviation synthetic open and exit marks omit intraday unrealized adversity. All 29 cells, including positive control results and full precision metrics, are in observations 18141, 18142, 18143, 18144, and 18145. There is no post-hoc asset or parameter selection. The ETFs are correlated, and there is no claim of 29 independent trials. The source is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the note about QIR90908 EWJ. The note is about a trading strategy. It uses a thing called IBS, which is short for Internal Bar Strength, a measure of price movement. The strategy has a rule to buy at the next open if the IBS is less than or equal to 0.2. It also has a rule to close the position at the end of the same session or when a certain price is reached, which is 1.5 times the Average Daily Range, or stop when the price moves 1 prior 20-day Average Daily Range. The strategy considers costs of 6 basis points per side, which includes a 1 basis point fee and 5 basis points of slippage, and stress costs of 1 plus 15 basis points. The strategy uses cash only, is long only, starts with 1000 USD, and does not use leverage. It is a hypothetical and independent strategy. The note mentions thresholds of 0.1, 0.2, and 0.3, and rules for opening and managing positions. The strategy also uses a diagnostic tool that is preregistered, not a rescue choice. Each result is checked against a cash curve and trade returns with a high degree of precision. The strategy does not validate fixed fees or partial share sales. It uses adjusted corporate action data and does not include raw cash dividend data. The return metrics are based on trade profit and loss and entry value. The note mentions observations 18136, 18137, 18138, 18139, and 18140, and states that there is no selection of assets or parameters after the fact. The note also mentions that the ETFs are correlated and that there is no claim of 29 independent trials. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars, which includes symbols SPY, QQQ, IWM, EEM, EFA, EWJ, EWZ, and FXI, with a 1-day timeframe and all adjustments.
A news scan found the note: Frozen note1431. The main rule is to buy when the lagged IBS, which is a measure of a stock's volatility, is less than or equal to 0.2. The buy order is executed at the next open, and the position is closed either at the end of the same session or when the price reaches 1 times the prior 20-day average daily range, with a stop-loss at 1.5 times the average daily range. The costs include a 1 basis point fee and 5 basis points of slippage, which is the difference between the expected and actual price of a trade. The stress test adds 1 basis point plus 15 basis points. The strategy uses cash only, is long only, starts with 1000 USD, and does not use leverage. It is an independent symbolic sleeve with hypothetical fractional execution. The thresholds are 0.1, 0.2, and 0.3, with zero, base, and stress costs, and open, managed, and green rules, plus two buy-hold benchmarks, resulting in 29 cells. The green half plus 1 average daily range, remainder best effort, is a preregistered diagnostic, not a rescue choice. Each result reconciles the vectorbt cash curve with the independent product of trade cash returns at a 1e-8 tolerance and exact trade count. The green weighted average exit equals the proportional half-fill proceeds but does not validate fixed fees or 15-minute whole-share partials. The data is adjusted for corporate actions, with no raw cash dividend ledger. The return metrics are the main vectorbt trade profit and loss divided by the entry value. To calculate the return, divide the win, loss, and mean by 1.0001 for the cash denominator, with the portfolio return unchanged. The drawdown synthetic open and exit marks omit intraday unrealized adversity. All 29 cells, including positive control results and full precision metrics, are in observations 18131, 18132, 18133, 18134, and 18135. There is no post-hoc asset or parameter selection. The ETFs are correlated, and there is no claim of 29 independent trials. The source is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the note: Frozen note1431. The main rule is to buy when the lagged Internal Bar Strength, a measure of price movement, is less than or equal to 0.2, and then sell at the next open, or close the position if it reaches a stop loss of 1 prior 20-day Average Daily Range or a target of 1.5 Average Daily Range, whichever happens first. The costs are 6 basis points per side, which includes a 1 basis point fee and 5 basis points of slippage, a measure of the difference between expected and actual trade prices, with an added stress of 1 plus 15 basis points. The strategy uses cash only, is long only, starts with 1000 USD, and does not use leverage, in an independent symbolic sleeve with hypothetical fractional execution. There are thresholds of 0.1, 0.2, and 0.3, with zero, base, and stress costs, and open, managed, and green rules, plus two buy-hold benchmarks, which give 29 different scenarios, or cells. The green half plus 1 Average Daily Range, and the remainder Break Even, is a preregistered diagnostic, not a rescue choice. Each result is checked against the vectorbt cash curve, a measure of cash flow over time, with an independent product of trade cash returns at a tolerance of 1e-8, and exact trade count. The green weighted average exit equals the proportional half-fill proceeds, but does not validate fixed fees or 15-minute whole-share partials. The data is adjusted for corporate actions, but does not include raw cash dividend ledger. The return metrics are the main vectorbt trade Profit and Loss, divided by the entry value, with win, loss, and mean divided by 1.0001 for the cash denominator, and the portfolio return remains unchanged. The synthetic open and exit marks omit intraday unrealized adversity, a measure of potential losses. All 29 cells, including positive control results and full precision metrics, are in observations 18126, 18127, 18128, 18129, and 18130. There is no post-hoc asset or parameter selection. The ETFs are correlated, and there is no claim of 29 independent trials. The source is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY,QQQ,IWM,EEM,EFA,EWJ,EWZ,FXI&timeframe=1Day&feed=sip&adjustment=all.
A news scan found the headline about an unconditional long every 3 days at 00 UTC starting from January 1, 2025, without using RSI or trend filters and not making new entry recommendations. The strategy was trained from 2025 and tested from January 1, 2026, to September 8, 2026, excluding boundary crossings and incomplete 72-hour paths from all cadences. The strategy used a prior completed native day Wilder ATR 14, stop 1 ATR, and target 1.5 ATR from the same 15-minute open reference. The first day, hour, and 15-minute completed close crossing executed at the observed close plus 5 basis points or 15 basis points slip, or 72-hour time exit, assuming optimistic zero quote and latency delay with no intra-bar ideal fills. Cash fees were 0.0025 for entry and 0.0025 for exit. The long-only vector backtest used a 15-minute mark grid with 36 compounded payoff reconciliations passing 1e-6 percent. The baseline out-of-sample results were: for 1 Day, return -36.93073427468296, drawdown 59.91421940730469, number of trades 70, percentage of winning trades 47.14285714285714, average win 4.242198589980639, average loss 4.7067872293689135, and mean -0.4879796288184106; for 1 Hour, return -24.153715262172938, drawdown 48.868742831016796, number of trades 70, percentage of winning trades 47.14285714285714, average win 4.411310293275279, average loss 4.4049829528313404, and mean -0.24873042252393443; for 15 Minutes, return -18.732950311684434, drawdown 45.59516535029439, number of trades 70, percentage of winning trades 47.14285714285714, average win 4.496454563326082, average loss 4.30118505132661, and mean -0.15372637584748414. The training returns for day, hour, and 15 minutes were -51.5944, -73.1472, and -67.0913, respectively. Every out-of-sample baseline and stress test was negative, with a raw quarter Kelly of 0. The native hour matches 4 times 15-minute closes exactly, and the native daily close differs by less than or equal to approximately 12 basis points in full history, with entry using a common 15-minute open to avoid larger daily open mismatch. Complete case omission may bias the regime, and the calendar was reused from prior research and is not independent confirmation. Stop overshoot worsens loss above nominal 1R, and real 15-minute venue checks do not guarantee matched bar close fill. The conclusion rejects unconditional entry, and the audit does not validate previously rejected pullback. The sources are https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees, with all rows observations from 18056 to 18091 and local audit.py.
A news scan found the headline about an unconditional long every 3 days at 00 UTC starting from January 1, 2025, without using RSI or trend filters and not making new entry recommendations. The training period was from 2025 to September 8, 2026, and the out-of-sample period was from January 1 to September 8, 2026, omitting boundary crossings and incomplete 72-hour paths from all cadences. The prior completed native day Wilder ATR 14, stop 1 ATR, target 1.5 ATR from the same 15-minute open reference was used. The first 1-day, 1-hour, and 15-minute completed close crossing executes at the observed close plus 5 basis points or 15 basis points slip, or 72-hour time exit, with optimistic zero quote and latency delay, and no intrabar ideal fills. Cash fees for entry were 0.0025 and for exit were 0.9975. The long-only vector backtest used a 15-minute mark grid, and 36 compounded payoff reconciliations passed 1e-6 percent. The baseline out-of-sample results were as follows: for 1-day time frame, the return was -49.95067278071193, drawdown was 61.77394490365453, number of trades was 61, percentage of profitable trades was 44.26229508196721, average win was 3.878693206992178, average loss was 4.826088557776246, and mean return was -0.9731523668131724. For 1-hour time frame, the return was -37.418698372687395, drawdown was 50.49805926238281, number of trades was 61, percentage of profitable trades was 44.26229508196721, average win was 3.995623078004095, average loss was 4.320962944734015, and mean return was -0.6398510986040323. For 15-minute time frame, the return was -32.963717240492755, drawdown was 46.209085516003576, number of trades was 61, percentage of profitable trades was 44.26229508196721, average win was 4.139849602814085, average loss was 4.236197399024663, and mean return was -0.5287667588665288. The training returns for daily, hourly, and 15-minute time frames were -61.1674, -72.3326, and -70.2655, respectively. Every out-of-sample baseline and stress test was negative, with a raw quarter Kelly of 0. The native hour matches 4 times 15-minute closes exactly, and the native daily close differs by less than or equal to approximately 12 basis points in full history, with entry using a common 15-minute open to avoid a larger daily open mismatch. Complete case omission may bias the regime, and the calendar was reused by prior research and is not independent confirmation. Stop overshoot worsens loss above nominal 1R, and real 15-minute venue checks do not guarantee matched bar close fill. The conclusion rejects unconditional entry, and the audit does not validate previously rejected pullback. The sources of the data are https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees, with all rows of observations from 18056 to 18091 and local audit.py.
A news scan found the headline 'BTC 72-hour exit-cadence holdout: faster checks do not create an edge'. This refers to a trading strategy for Bitcoin. The strategy involves buying Bitcoin every 3 days at 00UTC, starting from January 1, 2025, without considering the Relative Strength Index or trend filters, and not making new entry recommendations. The strategy was trained on data from 2025 and tested on data from January 1, 2026, to September 8, 2026. The testing omitted paths that did not complete a 72-hour cycle. The strategy used a stop-loss of 1 Average True Range and a target of 1.5 Average True Ranges, which is a measure of price volatility. The Average True Range is a technical indicator that measures the range of price movements, in this case, over 14 periods. The strategy executed trades at the observed close price plus a 5 or 15 basis point slip, or at the end of the 72-hour cycle. The testing assumed zero quote and latency delays, and no intrabar ideal fills, which refers to the filling of orders within a specific time period. The strategy used cash fees for entry and exit, with fees of 0.0025 for entry and 0.9975 for exit. The testing used a long-only vector and a 15-minute mark grid, which refers to the time interval used for trading. The results showed 36 compounded payoff reconciliations that passed a threshold of 1e-6 percent. The baseline out-of-sample results showed the following performance metrics for different time frames: for 1Day, the return was -45.335488690561114, the drawdown was 56.618290167864885, the number of trades was 82, the percentage of winning trades was 42.68292682926829, the average win was 2.7719502528899196, the average loss was 3.2106725061297503, and the mean return was -0.6571140114262333. For 1Hour, the return was -43.33920336763765, the drawdown was 52.87368358880129, the number of trades was 82, the percentage of winning trades was 42.68292682926829, the average win was 2.5767705024402243, the average loss was 3.0266424855700738, and the mean return was -0.6349418199559221. For 15Min, the return was -43.54092632748159, the drawdown was 51.47647840169819, the number of trades was 82, the percentage of winning trades was 42.68292682926829, the average win was 2.6426053805840573, the average loss was 3.0805863424232824, and the mean return was -0.6377606069933204. The training returns for the 1Day, 1Hour, and 15Min time frames were -54.1432, -64.6717, and -63.4934, respectively. All out-of-sample baselines and stress tests showed negative results, with a raw quarter Kelly criterion of 0. The native hour matches 4 times 15-minute closes exactly, and the native daily close differs by less than or equal to approximately 12 basis points in full history. The entry uses a common 15-minute open to avoid larger daily open mismatches. Complete case omission may bias the regime, and the calendar was reused from prior research, which is not independent confirmation. Stop overshoot worsens loss above the nominal 1R, which refers to the risk-reward ratio. Real 15-minute venue checks do not guarantee matched bar close fills. The conclusion rejects unconditional entry, and the audit does not validate previously rejected pullback. The sources of the data are https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. All rows of observations are from 18056 to 18091, and the local audit.py was used.