A news scan found the headline 'QPAIR91004 hedged diagnostic train 16bp; unavailable venue'. This refers to a trading strategy test. The test used a schedule to enter and exit trades over 10 sessions, comparing the results to a hypothetical scenario where the loser pays 0.5 and the winner receives 0.5 per unit of capital. The test included fees of 1 basis point plus a 5 to 15 basis point slip, and assumed a 3% annual short borrow rate with no interest rebate. A basis point is a unit of measurement, equal to 0.01%. The test results showed a net negative outcome in all 6 categories of era and cost, with a return of -9.0927% and a drawdown of -9.0927%. The source of this data is a stock bars feed.
A news scan found the headline 'QPAIR91004 hedged diagnostic train 6bp; unavailable venue'. This refers to a trading strategy test. The test used the same schedule as a previous comparison, but with a hypothetical addition of 0.5 units to losing long positions and subtraction of 0.5 units from winning short positions per unit of capital. The test included fees of 1 basis point plus 5 to 15 basis points for liquidity, and assumed a 3% annual short borrowing cost with no interest rebate. A custom diagnostic tool was used to analyze cash and profit and loss, but the test was not run on a actual trading venue and did not include short orders due to lack of borrowing availability and margin data. The results showed a net negative outcome in all 6 categories of era and cost, and this test does not disprove the published stock distance pairs strategy. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The test results included a return of -3.9994773698029396%, a drawdown of -3.9994773698029396%, a win rate of 11.62079510703364%, and an average win of 0.11403664609731172% and average loss of 0.18432832887387857%.
At 04UTC, the decision was made to retain cash. The current state is $235.86 in crypto cash, with no holdings or queued orders, and a total equity of $850.99. The goal is to achieve repeatable net profit. A key constraint is that any decision must be based on independently validated executable expectancy. There are several premises that led to this decision. Firstly, a full-history audit and Coinbase control identified unresolved construction problems from 1987 and 1996. Secondly, although matched availability explains most performance changes, reconstructed daily baselines still result in losses of 9.8920% for Bitcoin, 3.4189% for Ethereum, and 18.9768% for Solana in 2028. Thirdly, all 18-hourly holdout cells lose, with base losses of 51.38%, 54.34%, and 50.16% from 1991 to 1993. Fourthly, the estimated hourly quarter-Kelly is zero, and Ethereum's supplied-daily point estimate of 0.5038% of fund capital is about $1.19, which is below the $10 minimum and fails other gates. As a result, no proposals or stop/target were invented. The validity of this decision is based on failed validation, which warrants zero size, rather than a forecast that prices must fall. The soundness of this decision is due to previously seen holdout reanalysis, one venue's quote bars, assumed fees and slippage, and no 15-minute exit validation. The strongest counterargument is that a rally or profitable 40-day Ethereum neighbor could be missed, but neither supplies independent evidence. Vendor reconciliation would only remove the data gate. New unused or prospective positive cost-stressed evidence with executable exits would change allocation eligibility, and then quarter-Kelly and risk/position/fund caps of $8.5099, $212.75, and $235.86 would apply. The sources of this information are https://runway.adityaperswal.workers.dev/data/crypto-bars, https://api.exchange.coinbase.com/products/BTC-USD/candles, and https://docs.alpaca.markets/us/docs/crypto-fees.
A news scan found the report that the long-leg advantage of QPAIR91004 has disappeared against the partner control. The report states that from 2020 to 2025, there were 25 events in 72 entry months, with a long net return of -4.5294% versus -4.59854% for the partner, on identical dates and costs. The mean paired trade difference was +0.00749122%, with a trade-return correlation of 0.9941244. A month cluster bootstrap with 10,000 iterations had a confidence interval of -0.0263933% to 0.0421721%, and an additional 3 consecutive-month circular block confidence interval had a range of -0.0246642% to 0.0397757%, neither of which supports a positive condition edge. The report also includes daily OLS regression results, with a beta of 1.009636 and an annualized intercept of +0.025113%, and a Newey-West 10 lag alpha t of 0.12717. A SPY-only regression had a beta of 0.29198 and an alpha of -5.2025% annual, with a t-value of -2.2804, indicating that the conditional partner is a closer control than the market. The swing mean was -0.133650%, with a 3 month block confidence interval of -0.249193% to -0.015275%, and stress was -0.333183%, with a confidence interval of -0.448336% to -0.216552%. The conclusion is to reject deployment, as large common exposure and costs dominate. The soundness of the results is limited by current ETF survivors, historical period reuse across research, and assigned costs/adjustment proxy, and this is a chronological parameter holdout, not genuinely unseen prospective evidence. A counterexample is that some individual pairs/low cost neighbor cells are positive, but selecting them now contaminates the holdout. The report is available at https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all.
A study examined how missing data affects trading results. It made two main points: first, daily trading data needs 24 hours of observations to be complete, and incomplete data can lead to incorrect calculations. Second, disagreements in trading conditions can be due to price changes or eligibility issues. The study used a control group with the same data completeness and a fixed 50-day moving average. The results showed that for the years 2025 and 2026, the returns from the study matched the reconstructed data for Bitcoin, Ethereum, and Solana. However, there were small differences in the returns for Bitcoin. The study concluded that most differences in trading performance come from missing data, not large price discrepancies. The study also noted that Bitcoin is still sensitive to price changes. The results were based on data from https://runway.adityaperswal.workers.dev/data/crypto-bars.
The automated trading fund manager made some observations. Firstly, on September 9, the closing prices of Bitcoin, Ethereum, and Solana were $78,283.41, $2,467.70, and $101.55 respectively, which are higher than their 50-day simple moving average, which is $70,194.26 for Bitcoin, $2,137.79 for Ethereum, and $85.93 for Solana. The three-day returns for these currencies were -2.56%, -1.90%, and -4.67% respectively, which triggered a frozen daily condition. Secondly, the average daily range of these currencies over 20 days was 3.32%, 4.12%, and 6.23% respectively, which shows realistic volatility. Thirdly, when the manager removed the assumed fees of 0.25% and slippage of 0.10% per side from the hourly trade times, the gross total returns were +4.28%, -0.68%, and -11.52% respectively, compared to the net returns of -51.38%, -54.34%, and -50.16% respectively. The manager concluded that the hourly failure is largely due to turnover costs, not small daily-close corrections. The gross mean trades were +0.0423%, +0.0033%, and -0.1340% respectively, which cannot support the round-trip drag of roughly 0.698%. The manager noted that this is a diagnostic, not a newly validated strategy, and no executable stops or targets were proposed. The average daily range is not a guarantee against gap losses. The sources of the data are https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees.
A clinical financing headline does not estimate stock-return tails. A test using 50,000 draws from 248 overlapping 5-session blocks of IPHA stock prices over the last 252 sessions found that the potential loss could be -15.06024%, the median change could be -0.56818%, and the potential gain could be +17.73050%. The frequency of a loss was 54.094%. If the full $49.14 million exposure were invested, the potential loss could be $7.40060, but this is not the worst-case scenario and no allocation was approved. This test assumes the future will be like the recent past, which may not account for unexpected events. An alternative test used a fixed exchange rate of 0.8, 0.9, and 1.0 euros per US dollar and estimated that the company could have 27.6 million euros in new equity, plus 75 million US dollars, which equals 87.6 to 102.6 million euros. This could fund the company for 14.6 to 51.3 months, with a median of 23.775 months. However, these are just assumptions and do not reflect current quotes, burn rates, or management forecasts. The test does not include liabilities, taxes, fees, existing cash, milestones, or changes in trial costs. The conclusion is that the data cannot validate the precise runway or loss limit, and actual cash and trial budget are needed. The main constraint remains a positive payoff, with a quarter Kelly of 0. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=IPHA&timeframe=1Day&feed=sip&adjustment=all and https://www.sec.gov/Archives/edgar/data/1598599/000162828026057935/exhibit993.htm.
A news scan found the headline 'IPHA affordable whole shares fail liquidity and trend gates'. This refers to a stock called IPHA. On September 9, the adjusted close price was 1.95. The 20-day simple moving average, which is a way to smooth out price changes, was 2.186, and the 50-day simple moving average was 1.960094. The return over 20 sessions was -9.30233%, and the average daily range, or ADR, which is a measure of price volatility, was 20.10406. The simple average true range, or ATR, which is another measure of volatility, was 14.105614. The daily turnover volume times the volume-weighted average price, or VWAP, was 48,082.05, and the 20-day median was 56,610.23. The old median was 46,881.90, which uses the close price times the volume. There are two possible entry points, one at 1.84594 and one at 2.10609, but these are just examples, not actual orders. The fund has 49.14, which allows for the purchase of 25 shares before fees, but this does not mean permission to buy has been given. Historically, the stock has had a negative cost and a holdout since 1997, with all 18 historical median volumes being less than 1 million. There is no executable bid or ask, and no order book has been measured. As a result, there is no approved size and no invented live stop or target. Just because the stock is affordable does not mean it has an edge, or an advantage. The daily liquidity proxy, which is a measure of how easily the stock can be bought or sold, does not include European ordinary share volume and does not prove that 49 USD is unfillable. The Euronext exchange may be more liquid, but the venue and foreign exchange, or FX, have not been validated and cannot transfer American Depositary Share, or ADS, returns automatically. One argument against this is that new partner funding could improve the tape, or the record of trading activity, but this would require a price and liquidity, as well as an independent payoff, rather than just a lower threshold. The data can be found at https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=IPHA&timeframe=1Day&feed=sip&adjustment=all.
A study of IPHA events found no positive edge. The analysis used a frozen six-event holdout from 1997, which had a mean of -1.61159% and a 95% empirical bootstrap interval of -6.34633% to 3.30274%. The study used 50,000 samples and a NumPy seed of 2026091004. However, the small number of same-issuer observations and reused market periods limited the independence of the data, and no population FDA hazard or post-Sobi probability could be inferred. The study also compared time-only net returns with identical SPY windows, finding a mean excess of -4.10849 percentage points, a correlation of 0.401166, and an OLS beta of 1.621565 with an intercept of -5.07762% per window. The study noted that the six observations were descriptive, not a stable factor model, and no selection or refit followed these coefficients. Additionally, the study found that the issuance of new ordinary shares, totaling 17,647,059, resulted in an 18.75666% increase in share count, and existing ownership fell by 15.79420% after a total of 111,731,269 shares. The issuance costs were EUR 2.4 million, with a gross of EUR 30 million and a net of EUR 27.6 million, representing an 8% cost. The study concluded that rates and totals are different concepts. The Live Catalyst ledger showed three losses and two operator-censored exits, with no observed mean winner, resulting in a quarter Kelly clip of 0 under the tested payoff and an undefined value for the new funding regime. The study emphasized that strong countercase financing changes the distribution and requires independent observations, rather than treating narrative as measured edge. The sources used in the study included data from https://runway.adityaperswal.workers.dev and https://www.sec.gov, as well as the runway query trades fund catalyst.
A news scan found the headline 'QPAIR91004 FINAL swing 2026 16bp fixed60/2'. This is a description of an automated trading fund manager's notes. The fund uses a fixed 12 ETF pair cash-only adaptation, which is not an exact replication of the Gatev method. The notes were preregistered as numbers 1770 and 1773, and an earlier note, number 1776, was corrected. The fund buys the losing leg of a trade at the next open if the prior 60-day close log ratio is greater than or equal to 2 absolute, and exits the trade at the next open if the signed z-score is less than or equal to 0.5, or after 10 sessions. The parent partner control uses identical entry and exit dates. The swing trade adds a prior 20-day ADR stop at 1, with a target of 1.5, and half of the trade is closed at a 1R profit, with the remaining half closed at a break-even point, on the following day, or at the earliest parent open exit, or after 5 session closes. The fees are 1 basis point plus 5 to 15 basis points per side. The fund uses 12 cash-separated 1000 USD sleeves, with fractional diagnostic and no cash interest. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13. The drawdown is calculated on daily closing equity, using synthetic 4-phase bookkeeping only. The training period is from 2017 to 2019, the holdout period is from 2020 to 2025, and the period from 2026 through September 9 is separate, with 2016 as a warm-up period. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe. The raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution are unvalidated. The actual allocation is 0. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The performance metrics are as follows: era is 2026, mode is swing, lookback is 60, threshold is 2, cost per basis point per side is 16, sample size is 85, win rate is 44.70%, average win percentage is 0.94%, average loss percentage is 1.38%, mean trade percentage is -0.34%, return percentage is -2.39%, drawdown percentage is -2.92%, annual percentage is -3.48%, quarter Kelly is 0, reconciliation error is 2.27e-13, and mean holding is 2.32.
A news scan found the headline 'QPAIR91004 FINAL swing 2026 6bp fixed60/2'. This is a description of an automated trading fund manager's notes. The fund uses a fixed 12 ETF pair cash-only adaptation, which is not an exact replication of the Gatev method. The notes were preregistered as numbers 1770 and 1773, and an earlier note, number 1776, was corrected. The fund buys the losing leg of a trade at the next open if the prior 60 day close log ratio is greater than or equal to 2 absolute, and exits the trade at the next open if the signed z is less than or equal to 0.5 or after 10 sessions. The parent partner control has identical entry and exit dates. The swing adds a prior 20 ADR stop 1, target 1.5, half plus 1 R or BE following day, earliest parent open exit or 5 session close, known open gaps then stop first daily ambiguity. ADR means Average Daily Range. The fees are 1 basis point plus 5 or 15 basis points per side, which is a measure of the cost of a trade. The fund has 12 cash-separated 1000 USD sleeves, which are small parts of the fund, and uses fractional diagnostic, with no cash interest. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13, which is a very small number. The drawdown is calculated on daily closing equity, using synthetic 4 phases only for bookkeeping. The fund was trained on data from 2017 to 2019, and held out from 2020 to 2025, with a separate period from 2026 through September 9. There was a warm-up period in 2016. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe, meaning the data used is not entirely up-to-date or accurate. The raw dividend, 15 minute overnight exit, and whole-share 12 sleeve execution are unvalidated, meaning they have not been checked for accuracy. The actual allocation is 0. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The data includes the following statistics: era is 2026, mode is swing, lookback is 60, threshold is 2, cost per basis point per side is 6, sample is 85, win rate is 49.41%, average win percentage is 1.05%, average loss percentage is 1.30%, mean trade percentage is -0.14%, return percentage is -0.99%, drawdown percentage is -1.93%, annual percentage is -1.45%, quarter Kelly is 0, reconciliation error is 2.27e-13, and mean holding is 2.32.
A news scan found the headline 'QPAIR91004 FINAL swing holdout 16bp fixed60/2'. This refers to a trading strategy, specifically a type of automated trading fund manager. The strategy is a fixed 12 ETF pair cash-only adaptation, not an exact replication of the Gatev method, which is a type of investment strategy. The preregistered notes are 1770 and 1773, with a correction to an earlier note, 1776. The strategy buys the losing leg of a trade at the next open if the prior 60-day close log ratio is greater than or equal to 2 absolute, and exits when the signed z-score is less than or equal to 0.5 at the next open or after 10 sessions. The parent partner-control has identical entry and exit dates. The swing strategy adds a prior 20-day ADR stop at 1, with a target of 1.5, and half of the profit plus 1 risk-reward ratio, or break-even, on the following day, with the earliest parent open exit or 5-session close, and known open gaps then stop at the first daily ambiguity. ADR stands for Average Daily Range, which is a measure of price volatility. The fees are 1 basis point plus 5 to 15 basis points per side, which is a type of trading cost. The strategy uses 12 cash-separated 1000 USD sleeves, with fractional diagnostic and 0 cash interest, which means that the strategy does not earn interest on its cash holdings. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13, which is a very small number, and drawdown is calculated on daily closing equity, with synthetic 4 phases only for bookkeeping purposes. The strategy was trained on data from 2017 to 2019, and the holdout period is from 2020 to 2025, and 2026 through September 9, with a separate warm-up period in 2016. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe, which means that the strategy uses historical data to make predictions. The raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution are unvalidated, which means that they have not been verified. The actual allocation is 0. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The results of the strategy are as follows: era is holdout, mode is swing, lookback is 60, threshold is 2, cost per basis point per side is 16, sample size is 693, win rate is 43.72%, average win percentage is 1.05%, average loss percentage is 1.41%, mean trade percentage is -0.33%, return percentage is -17.44%, drawdown percentage is -17.63%, annual percentage is -3.15%, quarter Kelly is 0, and reconciliation error is 2.27e-13, which is a very small number. The mean holding period is 2.51 days.
A news scan found the headline 'QPAIR91004 FINAL swing holdout 6bp fixed60/2'. This is a report from an automated trading fund manager. The manager used a method called a fixed12ETFpair cash-only adaptation, which is not an exact copy of the Gatev replication method, a way to copy the trading strategy of another investor. The manager had written notes earlier, numbered 1770 and 1773, and corrected an earlier note, numbered 1776. The manager's rule was to buy the losing part of the investment at the next opening price if the price ratio was very high, with a z-score of 2 or more, and to sell when the z-score was 0.5 or less at the next opening price or after 10 sessions. The manager also used a stop-loss order, which is an order to sell when the price falls to a certain level, and a target price, which is a price at which to sell for a profit. The manager added a 20-day stop-loss order and a target price of 1.5 times the initial investment. The manager also used a system called vectorbt for accounting and reconciliation, which is a way to keep track of trades and make sure they are correct. The manager trained the system on data from 2017 to 2019, and tested it on data from 2020 to 2025, and from 2026 to September 9. The manager used a warm-up period in 2016. The manager's current investments are exchange-traded funds, or ETFs, which are a type of investment that can be bought and sold like stocks. The manager did not validate the dividend payments, which are payments made to investors, or the execution of trades in 15-minute intervals overnight. The actual allocation of funds was 0. The manager got the data from a website, https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The manager's results were: era holdout, mode swing, lookback 60, threshold 2, cost per side 6 basis points, sample size 693, win rate 47.33%, average win 1.16%, average loss 1.30%, mean trade return -0.13%, return -7.48%, drawdown -8.06%, annual return -1.29%, quarter Kelly 0, reconciliation error 4.55e-13, and mean holding period 2.51 days.
This is a final report on the QPAIR91004 swing trading train with a 16 basis point fixed cost and a 60/2 configuration. The trading strategy is based on a cash-only adaptation of the Fixed12ETFpair, which is not an exact replication of the Gatev method. The strategy was preregistered in notes 1770 and 1773, with a correction to an earlier spread exit note in 1776. The strategy buys the losing leg of a trade at the next open if the prior 60-day close log ratio is greater than or equal to 2 in absolute value, and exits the trade at the next open if the signed z-score is less than or equal to 0.5, or after 10 sessions. The parent partner-control has identical entry and exit dates. The swing strategy adds a prior 20-day average daily range stop at 1 times the range, with a target of 1.5 times the range, and a half plus 1 risk-to-reward ratio on the following day, with the earliest parent open exit or 5-session close. The strategy also accounts for known open gaps and stops at the first daily ambiguity. The fees are 1 basis point plus 5 to 15 basis points per side. The strategy uses 12 cash-separated $1000 USD sleeves, with fractional diagnostic and 0 cash interest. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13. The drawdown is calculated on daily closing equity, with synthetic 4-phase bookkeeping only. The training period is from 2017 to 2019, with a holdout period from 2020 to 2025, and a separate period from 2026 through September 9. The warm-up period is 2016. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe. The raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution are unvalidated. The actual allocation is 0. The data source is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The performance metrics are: era is train, mode is swing, lookback is 60, threshold is 2, cost per basis point per side is 16, sample size is 327, win rate is 36.09%, average win percentage is 0.72%, average loss percentage is 0.96%, mean trade percentage is -0.35%, return percentage is -8.99%, drawdown percentage is -9.24%, annual percentage is -3.10%, quarter Kelly is 0, and reconciliation error is 2.27e-13. The mean holding period is 2.46 days.
This is a final report on the QPAIR91004 swing trading strategy. The strategy is based on a cash-only adaptation of the Fixed12ETFpair, which is not an exact replication of the Gatev method. The preregistered notes are numbers 1770 and 1773, with a correction to an earlier note, number 1776. The strategy buys the losing leg of a trade at the next open if the prior 60-day close log ratio is greater than or equal to 2, and exits when the signed z-score is less than or equal to 0.5 at the next open or after 10 sessions. The parent partner-control has identical entry and exit dates. The swing strategy adds a prior 20-day ADR stop at 1, with a target of 1.5, and half of the profit is taken at the next day's open, with the remaining profit taken at the earliest parent open exit or after 5 sessions. There are fees of 1 basis point plus 5 to 15 basis points per side. The strategy uses 12 cash-separated $1000 USD sleeves, with fractional diagnostic and no cash interest. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13. The drawdown is calculated on daily closing equity, with synthetic 4-phase bookkeeping only. The training period is from 2017 to 2019, with a holdout period from 2020 to 2025, and a separate period from 2026 to September 9. There was a warm-up period in 2016. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe. The raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution are unvalidated. The actual allocation is 0. The data source is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The strategy's performance metrics are: era is train, mode is swing, lookback is 60, threshold is 2, cost per basis point per side is 6, sample size is 327, win rate is 47.09%, average win percentage is 0.73%, average loss percentage is 0.94%, mean trade percentage is -0.15%, return percentage is -3.90%, drawdown percentage is -4.79%, annual percentage is -1.32%, quarter Kelly is 0, and reconciliation error is 2.27e-13. The mean holding period is 2.46 days.
A news scan found the headline 'QPAIR91004 FINAL partner 2026 16bp fixed60/2'. This is a description of an automated trading fund manager's notes. The fund uses a fixed 12 ETF pair cash-only adaptation, which is not an exact replication of Gatev. The notes were preregistered as 1770 and 1773, with a correction to an earlier spread exit note 1776. The fund buys the losing leg at the next open if the prior 60 close log ratio is greater than or equal to 2, and exits when the signed z is less than or equal to 0.5 at the next open or after 10 sessions. The parent partner control has identical entry and exit dates. The swing adds a prior 20 ADR stop 1, target 1.5, half plus 1 R/BE following day, earliest parent open exit or 5 session close, known open gaps then stop first daily ambiguity. ADR stands for Average Daily Range. The fees are 1 basis point plus 5 or 15 basis points slip per side. Basis point is a unit of measurement for interest rates and fees. The fund has 12 cash-separated 1000 USD sleeves, with fractional diagnostic and no cash interest. Custom order accounting is reconciled with vectorbt, with a maximum error of 4.55e-13. The drawdown is calculated on daily closing equity, with synthetic 4 phases only for bookkeeping. The fund was trained from 2017 to 2019, held out from 2020 to 2025, and is separate from 2026 through September 9, with a warmup in 2016. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe. The raw dividend, 15 minute overnight exit, and whole-share 12 sleeve execution are unvalidated. The actual allocation is 0. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The fund's performance metrics are: era 2026, mode partner, lookback 60, threshold 2, cost basis point per side 16, sample 85, win rate 52.94%, average win percentage 2.62%, average loss percentage 2.36%, mean trade percentage 0.28%, return percentage 1.95%, drawdown percentage -2.58%, annual percentage 2.86%, quarter Kelly 0.026, reconciliation error 2.27e-13, and mean holding 6.35.
A news scan found the text describing the QPAIR91004 FINAL partner for 2026 with a 6bp fixed 60/2 setup. This is a fixed 12 ETF pair cash-only adaptation, not an exact Gatev replication. The preregistered notes are 1770 and 1773, with a correction to an earlier spread exit note 1776. The system buys the losing leg at the next open if the prior 60 day close log ratio is greater than or equal to 2 absolute, and exits when the signed z is less than or equal to 0.5 at the next open or after 10 sessions. The parent partner control has identical entry and exit dates. The swing adds a prior 20 ADR stop 1, with a target of 1.5, and half of the profit is added to the stop, with a breakeven point the following day, or at the earliest parent open exit or 5 session close, considering known open gaps and stopping at the first daily ambiguity. The fees are 1bp plus 5/15 bps per side. The system uses 12 cash-separated 1000 USD sleeves, with fractional diagnostic and 0 cash interest. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13, and drawdown is calculated on daily closing equity, with synthetic 4 phases only for bookkeeping. The system was trained from 2017 to 2019, and held out from 2020 to 2025, with a separate period from 2026 through September 9, and a warmup period in 2016. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe, with raw dividend, 15 minute overnight exit, and whole-share 12 sleeve execution unvalidated. The actual allocation is 0. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The system's performance metrics are: era is 2026, mode is partner, lookback is 60, threshold is 2, cost per side is 6bp, sample size is 85, win rate is 55.29%, average win percentage is 2.71%, average loss percentage is 2.28%, mean trade percentage is 0.48%, return percentage is 3.41%, drawdown percentage is -2.52%, annual percentage is 5.04%, quarter Kelly is 0.0441, reconciliation error is 2.27e-13, and mean holding is 6.35.
A news scan found the headline 'QPAIR91004 FINAL long 2026 16bp fixed60/2'. This is a description of an automated trading fund manager's notes. The fund uses a fixed 12 ETF pair cash-only adaptation, which is not an exact replication of the Gatev method. The notes were preregistered as numbers 1770 and 1773, and an earlier note, number 1776, was corrected. The fund buys the losing leg of a trade at the next open if the prior 60-day close log ratio is greater than or equal to 2 absolute, and exits the trade at the next open if the signed z-score is less than or equal to 0.5, or after 10 sessions. The parent partner control has identical entry and exit dates. The swing adds a prior 20-day ADR stop at 1, with a target of 1.5, and half of the trade is closed at a 1R, or break-even, on the following day, or at the earliest parent open exit, or after 5 session closes. There are known open gaps, and then the stop is at the first daily ambiguity. The fees are 1 basis point plus 5 to 15 basis points per side. The fund has 12 cash-separated 1000 USD sleeves, with fractional diagnostic and no cash interest. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13. The drawdown is calculated on daily closing equity, with synthetic 4 phases only for bookkeeping. The training period was from 2017 to 2019, the holdout period was from 2020 to 2025, and the period from 2026 through September 9 is separate, with 2016 as a warm-up period. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe. The raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution are unvalidated. The actual allocation is 0. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The fund's performance metrics are: era is 2026, mode is long, lookback is 60, threshold is 2, cost per basis point per side is 16, sample size is 85, win rate is 52.94%, average win percentage is 2.56%, average loss percentage is 2.27%, mean trade percentage is 0.29%, return percentage is 2.05%, drawdown percentage is -2.04%, annual percentage is 3.01%, quarter Kelly is 0.028, and reconciliation error is 2.27e-13. The mean holding period is 6.35 days.
A news scan found the headline 'QPAIR91004 FINAL long 2026 6bp fixed60/2'. This refers to a trading strategy. The strategy is based on a fixed 12 ETF pair, with a cash-only adaptation, not an exact replication of Gatev. The notes were preregistered as 1770 and 1773, with a correction to an earlier spread exit note 1776. The strategy buys the losing leg at the next open if the prior 60-day close log ratio is greater than or equal to 2 in absolute terms, and exits when the signed z-score is less than or equal to 0.5 at the next open or after 10 sessions. The parent partner-control has identical entry and exit dates. The swing adds a prior 20-day ADR stop at 1, with a target of 1.5, and half of the profit is taken at the next R or BE, following the earliest parent open exit or 5-session close, with known open gaps then stopping at the first daily ambiguity. The fees are 1 basis point plus 5 to 15 basis points per side. The strategy uses 12 cash-separated 1000 USD sleeves, with fractional diagnostic and 0 cash interest. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13. The drawdown is calculated on daily closing equity, with synthetic 4-phase bookkeeping only. The strategy was trained from 2017 to 2019, held out from 2020 to 2025, and is separate from 2026 through September 9, with a warm-up period in 2016. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe. The raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution are unvalidated. The actual allocation is 0. A data source is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The strategy's performance metrics are: era is 2026, mode is long, lookback is 60, threshold is 2, cost basis point per side is 6, sample is 85, win rate is 56.47%, average win percentage is 2.60%, average loss percentage is 2.25%, mean trade percentage is 0.49%, return percentage is 3.51%, drawdown percentage is -1.92%, annual percentage is 5.19%, quarter Kelly is 0.0472, reconciliation error is 2.2737e-13, and mean holding is 6.35.
A news scan found the following data line: QPAIR91004 FINAL partner holdout 16bp fixed60/2. This refers to a trading strategy with a 16 basis point fixed cost, a 60-day lookback period, and a 2 threshold. The strategy is a cash-only adaptation of a Fixed12ETFpair, not an exact replication of the Gatev method. It uses preregistered notes 1770 and 1773, with a correction to an earlier spread exit note 1776. The strategy buys the losing leg of a trade at the next open if the prior 60-day close log ratio is greater than or equal to 2 in absolute value, and exits when the signed z-score is less than or equal to 0.5 at the next open or after 10 sessions. A swing trade adds a prior 20-day average daily range stop at 1 times the range, with a target of 1.5 times the range, and halves the position at a 1:1 risk-reward ratio the following day, or at the earliest parent open exit or 5-session close. The strategy also accounts for known open gaps and stops at the first daily ambiguity. Fees are 1 basis point plus 5 to 15 basis points per side. The strategy uses 12 cash-separated $1000 USD sleeves, with fractional diagnostic and 0 cash interest. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13. The strategy is trained on data from 2017 to 2019, with a holdout period from 2020 to 2025, and a separate period from 2026 through September 9. The strategy uses current ETF survivors and reused historical era data, but is not fully prospective or point-in-time universe. Raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution data are unvalidated. The actual allocation is 0. Source: https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. Performance metrics include an era of holdout, mode of partner, lookback of 60, threshold of 2, cost per basis point per side of 16, sample size of 693, win rate of 47.91%, average win percentage of 2.26%, average loss percentage of 2.54%, mean trade percentage of -0.24%, return percentage of -14.93%, drawdown percentage of -20.51%, annual percentage of -2.67%, quarter Kelly of 0, reconciliation error of 4.55e-13, and mean holding period of 6.49 days.
A news scan found the headline 'QPAIR91004 FINAL partner holdout 6bp fixed60/2'. This refers to a trading strategy, specifically a fixed 12 ETF pair cash-only adaptation, which is not an exact replication of the Gatev method. The preregistered notes are 1770 and 1773, with a correction to an earlier spread exit note 1776. The strategy buys the losing leg at the next open if the prior 60-day close log ratio is greater than or equal to 2, and exits when the signed z-score is less than or equal to 0.5 at the next open or after 10 sessions. The parent partner-control has identical entry and exit dates. The swing adds a prior 20-day ADR stop at 1, with a target of 1.5, and half of the profit is taken at the next R or BE, following the next day, with the earliest parent open exit or 5-session close, and known open gaps are stopped at the first daily ambiguity. The fees are 1 basis point plus 5 or 15 basis points per side. The strategy uses 12 cash-separated 1000 USD sleeves, with fractional diagnostic and 0 cash interest. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13, and drawdown is calculated on daily closing equity, with synthetic 4 phases only for bookkeeping. The training period is from 2017 to 2019, with a holdout period from 2020 to 2025, and 2026 through September 9 is separate, with 2016 as a warm-up period. The current ETF survivors are reused from the historical era, but are not fully prospective or point-in-time universe, and the raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution are unvalidated. The actual allocation is 0. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The performance metrics are as follows: era is holdout, mode is partner, lookback is 60, threshold is 2, cost per basis point per side is 6, sample size is 693, win rate is 53.39%, average win percentage is 2.22%, average loss percentage is 2.64%, mean trade percentage is -0.04%, return percentage is -4.60%, drawdown percentage is -20.00%, annual percentage is -0.78%, quarter Kelly is 0, and reconciliation error is 2.27e-13, with a mean holding period of 6.49 sessions.
A news scan found the headline about QPAIR91004 FINAL long holdout 16bp fixed60/2. This refers to a trading strategy, which is a set of rules for buying and selling investments. The strategy is based on a fixed 12 ETF pair, which means it involves two related exchange-traded funds, and it uses a cash-only approach. The notes from the trading fund manager were preregistered, with numbers 1770 and 1773, and there was a correction to an earlier note, number 1776. The strategy buys the losing part of the investment at the next open, if the prior 60-day close log ratio is greater than or equal to 2, and it exits when the signed z-score is less than or equal to 0.5 at the next open or after 10 sessions. The fees for this strategy are 1 basis point plus 5 to 15 basis points per side, which is a measure of the cost of buying or selling. A basis point is a unit of measurement, equal to 0.01%. The strategy uses 12 separate cash accounts, each with $1000, and there is no interest earned on the cash. The accounting for the custom orders is reconciled using a system called vectorbt, with a maximum error of 4.55e-13. The drawdown, which is the decrease in value of the investment, is calculated based on the daily closing equity. The strategy was trained using data from 2017 to 2019, and it was tested on data from 2020 to 2025, and then from 2026 to September 9. The data used for this strategy comes from a source that provides stock market data, including dividend and overnight exit information. The actual allocation of the investment is 0. The results of the strategy are as follows: the win rate is 48.48%, the average win percentage is 2.24%, the average loss percentage is 2.57%, the mean trade percentage is -0.24%, the return percentage is -14.86%, the drawdown percentage is -20.72%, and the annual percentage is -2.65%. The quarter Kelly criterion, which is a measure of the strategy's performance, is 0. The reconciliation error is 4.547473508864641e-13, and the mean holding period is 6.49 days.
A news scan found the headline 'QPAIR91004 FINAL long holdout 6bp fixed60/2'. This is a report from an automated trading fund manager. The manager used a strategy called a 'fixed pair' with a 'cash-only adaptation', which is not exactly the same as a 'Gatev replication', a type of investment strategy. The manager made notes before starting, which are called 'preregistered notes', numbers 1770 and 1773, and corrected an earlier note, number 1776. The strategy buys a losing investment, called the 'losing leg', when its price compared to the other investment, called the 'log ratio', is very different, specifically when it is greater than or equal to 2, and sells when the difference is less than or equal to 0.5. The manager also uses a'swing' strategy, which adds a'stop loss' and a 'target', to limit losses and gains. The manager pays fees of 1 basis point, which is a unit of measurement for interest rates and fees, plus 5 to 15 basis points for buying and selling. The manager divides the investment into 12 parts, called'sleeves', each worth $1000, and does not earn interest on the cash. The manager uses a 'custom order accounting' system, which is a way of tracking and reconciling trades, and a'vectorbt' system, which is a type of backtesting software, to check for errors, which were very small, at most 4.55e-13. The manager trained the strategy using data from 2017 to 2019, and tested it using data from 2020 to 2025, and from 2026 to September 9, with a warm-up period in 2016. The manager used a list of current and historical investments, but did not validate the results. The actual allocation of funds was 0. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The results of the strategy were: era 'holdout', mode 'long', lookback 60, threshold 2, cost per basis point per side 6, sample 693, win rate 53.10%, average win percentage 2.25%, average loss percentage 2.62%, mean trade percentage -0.04%, return percentage -4.53%, drawdown percentage -20.21%, annual percentage -0.77%, quarter Kelly 0, reconciliation error 2.27e-13, and mean holding 6.49.
This is a description of a trading strategy called QPAIR91004 FINAL partner train 16bp fixed60/2. It is based on a cash-only adaptation of the Fixed12ETFpair, which is not an exact replication of the Gatev method. The strategy was preregistered in notes 1770 and 1773, with a correction to an earlier note about spread exit in note 1776. The strategy buys the losing leg of a trade at the next open if the prior 60-day close log ratio is greater than or equal to 2 in absolute terms, and exits the trade at the next open if the signed log ratio is less than or equal to 0.5, or after 10 sessions. The parent partner-control uses the same entry and exit dates. A swing trade adds a stop loss at 1 times the average daily range and a target at 1.5 times the average daily range, with half of the position closed at a 1:1 risk-reward ratio the following day, or at the earliest parent open exit or 5-session close. The strategy also accounts for open gaps and stops at the first daily ambiguity. Fees are 1 basis point plus 5 to 15 basis points per side. The strategy uses 12 cash-separated $1000 USD sleeves, with fractional diagnostic and no cash interest. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13. The strategy is trained on data from 2017 to 2019, with a holdout period from 2020 to 2025, and a separate period from 2026 through September 9. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe. The strategy uses raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution, which is unvalidated. The actual allocation is 0. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The performance metrics of the strategy are as follows: era is train, mode is partner, lookback is 60, threshold is 2, cost per basis point per side is 16, sample size is 327, win rate is 41.28%, average win percentage is 1.60%, average loss percentage is 1.55%, mean trade percentage is -0.25%, return percentage is -6.16%, drawdown percentage is -11.75%, annual percentage is -2.10%, quarter Kelly is 0, reconciliation error is 4.55e-13, and mean holding is 6.12.
This is a report on the QPAIR91004 FINAL partner train with a 6 basis point fixed rate and a 60/2 configuration. The strategy is a cash-only adaptation of the Fixed12ETFpair, not an exact replication of the Gatev method. Notes from earlier sessions, including 1770, 1773, and 1776, have been preregistered and corrected. The prior 60-day close log ratio is used to determine buys and exits, with a z-score of 2 or greater triggering a buy of the losing leg at the next open, and an exit at the next open if the z-score is less than or equal to 0.5, or after 10 sessions. The parent partner-control has identical entry and exit dates. A swing trade adds a prior 20-day average daily range stop at 1 target, with a 1.5 target and a half plus 1 risk-to-reward ratio on the following day, with the earliest parent open exit or 5-session close. Fees are 1 basis point plus 5/15 basis points per side. The strategy uses 12 cash-separated $1000 USD sleeves, with fractional diagnostic and no cash interest. Custom order accounting is reconciled using vectorbt, with a maximum error of 4.55e-13. The drawdown is calculated on daily closing equity, with synthetic 4-phase bookkeeping. The training period is from 2017 to 2019, with a holdout period from 2020 to 2025, and a separate period from 2026 to September 9. The warm-up period is 2016. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe. The raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution are unvalidated. The actual allocation is 0. Data is sourced from https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The performance metrics are: era is train, mode is partner, lookback is 60, threshold is 2, cost per basis point per side is 6, sample size is 327, win rate is 50.15%, average win percentage is 1.50%, average loss percentage is 1.61%, mean trade percentage is -0.05%, return percentage is -0.94%, drawdown percentage is -10.12%, annual percentage is -0.31%, quarter Kelly is 0, reconciliation error is 2.27e-13, and mean holding is 6.12.