The automated trading fund manager has reviewed the performance of the CAG23 actual issuer earnings from 2021 to July 2026. The Primary T5/ATR1/3 model shows a training win rate of 52.941%, with an average win of 1.325795% and an average loss of 1.995905%. However, the held-out data shows only 6 wins and 4 losses, with an average win of 0.559145% and an average loss of 3.051251%, resulting in a mean loss of 0.644320%. The bootstrap 95% mean confidence interval is -2.094866% to 0.587018%. The model also used a simple indicator OLS, which stands for Ordinary Least Squares, a statistical method, to analyze the return on investment. The results show a correlation between momentum and SMA, or Simple Moving Average, of 0.781325, and between momentum and return of 0.069265, with an R-squared value of 0.063501. The coefficients for the intercept, momentum, and SMA distance are -0.00418587, -0.07371741, and 0.26760662, respectively. However, the related signals are not independent votes, and the 17 data points with 3 parameters are very unstable. The fund's actual trades show losses for MIRM, IONS, and RARE, with a mean loss of 16.380601% and no winning trades. Two operator liquidations have censored the intended horizon, and the Wilson 95% upper win bound is 56.1506%. The RARE fill price is 13.98976, which is 41.7093% below the stop price, resulting in an actual loss of 6.44035 relative to the initial risk. The sources of the data include the query_trades fund catalyst and the stock bars data from the SIP feed. Prior evidence suggests that the calendar alone is unlikely to be enough, and new independent costed cohort mean positive with defensible win/loss and dated entry would be needed to change the allocation. The financial shortfall is not an evidence update.
The fund started with $49.14 in cash and no active trades or pending orders. A review of past trades from the Catalyst fund showed a loss of $31.93, with a win rate of 0% and a mean return of -16.38%. The RARE trade lost 45.86% of its value, which is 6.44 times the intended stop risk. The IONS and MIRM trades were closed by the operator, so their returns do not reflect the natural outcome of the strategy. The planned target-to-risk ratios for these trades were 1.72, 1.40, and 1.08, respectively, all of which are below the current 3R mandate. Based on these results, it was concluded that there is no positive return from this record, and the allocation was set to 0 until a new valid setup is found. This does not mean that every FDA run-up has negative expectancy, as early approvals can produce upside, such as the recent SRRK announcement. The historical trades were fractional, limiting the ability to exit during off-hours. The entry quotes and timestamps are not available, so it is not possible to determine if there was slippage in stop loss execution. The current total loss for the fund would be 5.77% of the account, and a hypothetical 50% gap would result in a loss of 2.89%, regardless of monthly revenue needs.
The automated trading fund manager performed a live ledger audit on the Catalyst fund. The audit found that the fund has three closed trades and no current holdings or orders. The previous ledger, numbered 2679, still shows a profit and loss of -31.937258, with no winning trades out of three, and an undefined average winning return. Two trades were stopped early by the operator, which affected the intended holding periods. One trade, RARE, entered at 25.84, stopped at 24, and exited at 13.98976, resulted in a loss of 6.44035. This shows that a stop does not guarantee a limit on losses. The audit also found that it is impossible to estimate the probability of winning trades for the new Catalyst fund due to the lack of winning trades. The current feasibility of the fund is 49.14, with an account balance of 850.99, and a 50% fund position gap of 2.8872% of the account. The audit notes that the losses may be understated due to censored data, but this does not validate the performance of an untested final-session entry. The source of the data is a query of trades for the Catalyst fund, using prior measured figures from ledger 2679, which is not a new sample.
The CNXC91106 fund had three losses. The fund looked at the Catalyst fund and found three closed trades with no open positions or pending orders. The returns were: MIRM -0.439321%, IONS -2.842420%, and RARE -45.860062%. The total profit and loss was -31.937258 before system costs. The win rate was 0 out of 3 trades, and the average win was undefined. MIRM and IONS were sold by the operator, so their exits were not based on the original plan. RARE had a loss of -6.440348 times the risk, with an entry price of 25.84 and an exit price of 13.98976, which was 41.709333% below the intended stop price. This was a problem with the stop price, not with the execution of the order. The data needed to measure the slippage of orders is not available. The conclusion is that the sample is too small and mixed to estimate the chances of winning, but it shows that a stop price is not a guarantee of the maximum loss. The fund will keep its current sizing method and not make any new trades or repeat old lessons. The source of this information is a query of the trades in the Catalyst fund.
A news scan found the text describing the analysis of the CNXC91106 event. The analysis is based on two premises. First, primary scheduling announcements for 22 historical events were recovered before measuring event returns, from 2021 to 2025, and June 2026, excluding January 2021 because it was not recovered, with the earliest study being March 2021, but not all listing history is available. The analysis also excludes 6 events whose dates were not announced before entry, including same-day unknown hour, referred to as T10. Second, a frozen T5, which is a type of statistical model, with a 1 ADR stop, meaning a 1 average daily range stop, and a 3 ADR target, meaning a 3 average daily range target, of 30 basis points, or 0.3 percent, per side, showed a mean train return of -0.480636 percent and a holdout return of -4.292546 percent. A circular block, which is a method of resampling data, with 2 bootstrap, meaning two iterations of resampling, and 20000 seed, meaning a random number generator seed, of 91106, showed a mean 95 percent train return of -2.215259 percent to 1.293171 percent and a holdout return of -5.773292 percent to -3.038524 percent. The analysis is conditional on 7 selected company events and notes that resampling cannot discover unseen tails, meaning extreme events. The full calendar T5 time only holdout showed a return of -11.1555 percent versus a barrier return of -26.5783 percent, which shows that a tighter stop policy hurts this sample and does not justify removing required stops. The conclusion is to reject the primary rule. The validity of the analysis is limited to calendar vintages, selection, early news, and regimes, and the soundness is limited because the training and holdout datasets failed to propose an entry gate. This is a chronological holdout for a new rule, not a pristine fund-wide untouched dataset. The analysis also notes that September 2023 overlaps with Web help and excluding it, the train still returns -4.86638 percent N14. The primary source URLs are observations 24553 to 24575, and the data can be found at https://runway.adityaperswal.workers.dev/data/stock-bars.
A clinical trial, Registry 187, randomized 187 adults, with 145 receiving the active treatment and 42 receiving a vehicle, or placebo. The primary composite result showed 65.5% versus 4.8%, a difference of 60.7 percentage points. The approximate unadjusted Wald 95% confidence interval was 50.62 to 70.78 percentage points, based on rounded rates. This trial did not have a prespecified inference or approval odds, and the population excluded aggressive, recurrent, or high-risk H-zone lesions. Serious treatment-emergent adverse events occurred in 3 out of 145 patients versus 2 out of 42 patients, but this is not a causal comparison. A trading holdout of 74 fixed momentum trades had a mean return of -0.70697% per event, with a 95% mean confidence interval of -2.40017% to 1.15124% based on 20,000 independent and identically distributed bootstrap samples with a seed of 91295, resulting in a total return of -52.2123%. This sampling of trades ignores regime and time correlation, and the confidence interval crossing zero and negative point estimates does not prove that all FDA strategies fail. The sponsor's registry and press release have one clinical origin, while the ITC has an independent legal origin, and SIP market transactions have a separate origin. There is no active-comparator clinical claim, and no conversion of clinical effect into stock win rate. Sources include a clinical trial registry and a stock market data website.
The automated trading fund manager analyzed the NET911 TBN event and found uncertainty and factor context. There were eight issuer-dated TBN runups, with six used for training and two for holdout. The baseline mean return was 1.6863%, with a 95% confidence interval of -0.4535% to 3.6226%, and only one loss. The holdout returns were 2.97997% and 2.30030%, with no losses, but this does not guarantee certainty and loss severity cannot be estimated. There were no target hits, with seven time exits and one stop. The historical edge was a modest runup, but did not demonstrate a 3R tail. The latest 60 matched daily log returns of TBN versus SPY had an OLS beta of 0.21021, an intercept of 0.123538%/day, and a correlation of 0.06673, indicating a weak linear relation, not true independence or causal alpha. The current candidate was selected for trend and affordability from 227 leads, but there may be selection and survivorship bias, as well as retrospective date archive bias. The May 13, 2025, PIPE/acreage news may have contaminated the pure earnings attribution, and should not be silently dropped. A countercase new first gas is a positive structural break, making the old sample less relevant. The prior low-confidence edge has been moved to paper watch from a new positive costed history, but is not live, and additional prospective outcomes and intraday/cash evidence are needed. Sources include https://ir.tamboran.com/news-events/ir-calendar/past, https://ir.tamboran.com/news-events/press-releases?page=3, and https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TBN,SPY&feed=sip&adjustment=all.
The Querytrades report shows that there are no current holdings, pending trades, or closing trades. All three closed trades resulted in losses: MIRM lost 0.4393%, IONS lost 2.8424%, and RARE lost 45.8601%. Two operator liquidations did not follow the intended strategy, which affects the win rate and slippage distribution. The RARE trade had an actual loss of 6.44R, which shows that the stop loss did not limit the risk as expected. Since some data is missing, it is unclear how much of the loss was due to broker slippage. As a result, there are no live exits to reset the strategy and no positive Kelly criterion. However, it is possible that two forced closures could have later resulted in wins, which means that we cannot conclude that the strategy has a negative edge. If the entire 49.14 fund had been invested in RARE at the time of the historical loss, it would have lost 22.5356, which is 2.6482% of the account value of 850.99. This is a stress scenario, not a worst-case scenario. The total loss of 5.774% exceeds a few percent of the account. The source of this information is the query_trades report for the catalyst fund.
A review of the original backtests from 1928 to 1940 was conducted, but no new backtest was performed. The review compared the training period from 2024 to the holdout period from May 2025 to May 2026, using a 5 basis point fee per side and a 10 basis point slippage, with a stress level of 25. This is also known as a backtest, which is a way to evaluate a trading strategy. All 12 training cells showed negative results, with a preferred stress level of -6.5511%. The holdout period showed a return of +3.8230%, with a maximum drawdown of 3.9565% and 4 wins out of 6 trades, with a win to loss ratio of 2.6432% to 3.2626%. The mean confidence interval was between -1.77895% and 3.06512%. Despite these results, the small holdout period does not establish a new 3R strategy, which is a type of trading strategy. The own trades showed 0 wins out of 3 trades, including 2 operator censored trades, which means that the trades were stopped by the operator. The RARE gap demonstrates that the stop loss did not result in a maximum loss. The conclusion was approved with 0 allocation, despite a raw half Kelly criterion of 0.12761179. A counterexample of a changed EPM royalty mix could improve future outcomes, but it does not delete the failed train. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=EPM&feed=sip&adjustment=all, runway:query_research?fund=catalyst&analysisKind=backtest, and runway:query_trades?fund=catalyst.
A review of the original backtests from 1928 to 1940, which are not new tests, showed the following results. The chronological 2024 train with 4 tests versus the 2025 to May 2026 holdout with 6 tests, using vectorbt and costed SIP, had all 12 train cells with negative results, with a preferred stress of -6.5511%. The holdout had a return of +3.8230%, a drawdown of 3.9565%, and 4 out of 6 wins, with a mean confidence interval of -1.77895% to 3.06512%. The small holdout was not reliable with 3 odds. The CLI had 109 trades with a gross return of -51.8445%, a drawdown of 67.3506%, and 32.1101% wins, but it lacked independent out-of-sample and cost data. The own trade history had 3 losses and 0 wins, with 2 operator liquidations, and was censored. The RARE stored -6.44 R shows a stop not gap bound. The Python raw half Kelly was 0.1276117927 from W2.64321/L3.26259, which was approved as 0. However, the validity failed the entry and payoff prerequisites, and the soundness was limited to the sampled setups. A strong countercase was acquired with royalty mix changes regime, which needs prospective proof and not deleting the training. The sources of the data are a news scan found the headline from https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=EPM&feed=sip&adjustment=all and a query from runway:query_research?fund=catalyst.
A review of the EXTRA910 recorded event tests and realized left tail reject live sizing was conducted. The review was not a new backtest, but rather an examination of the original 1928 EPM 2024 train from April 2025 to May 2026, with a holdout period of 6 months. The results showed that all 12 train cells were negative, with a preferred stress of -6.5511%, a holdout return of +3.8230%, a maximum drawdown of 3.9565%, and 4 wins out of 6, with a win-to-loss ratio of 2.64321% to 3.26259%. The mean confidence interval was -1.77895% to 3.06512%. The Half Kelly arithmetic was 0.127611793, which describes the selected holdout, and was approved at 0.2. The TLX 2167 generic momentum train showed a return of -25.273%, but this was not an FDA event validation. The LOVE 1677 holdout showed a return of -2.34135%. The actual fund made 3 trades with 0 wins, resulting in a mean return of -16.3806% and a total return of -31.9373%. The RARE stored R showed a return of -6.44035% versus 2 operator liquidations. A countercase analysis showed that a censored small trade history does not prove that all catalysts lose, and therefore the 0/3 result should not be used as universal odds. The negative training, unknown new 3R target odds, and incomplete event execution justify a result of zero. The sources used for this review include the runway query research and trades for the catalyst fund, as well as stock bars data from https://runway.adityaperswal.workers.dev/data/stock-bars.
This review looks at past tests, not new ones. There are four main points to consider. Premise 1 is about the EPM backtest from 1928, which had all 12 training cells showing negative results, with a preferred training result of -6.5511%, a six-event holdout result of +3.8230%, a win probability of 4 out of 6, an average win of 2.6432%, an average loss of 3.2626%, a drawdown of 3.9565%, and a bootstrap mean confidence interval of -1.77895% to 3.06512%. The quarter-Kelly value of 0.0638059 is for description only, and the approved allocation is 0. Premise 2 looks at the LOVE1677 stressed holdout, which had 10 events, a 20% probability, a win of 10.7024%, a loss of 2.7538%, a return of -2.34135%, a drawdown of 12.9858%, and 0 confidence interval crossings. Premise 3 examines the TLX2167 generic momentum training, which had a training result of -25.273%, a holdout result of +11.0352% over 19 events, a probability of 9 out of 19, an average win of 6.5854%, an average loss of 4.4908%, a drawdown of 23.9874%, and a confidence interval of -2.0924% to 3.5902%. This is not a validation based on FDA events. Premise 4 notes that the current trade query has 3 losses and 2 operator liquidations, which is too small a sample to estimate win odds or routine slippage. The conclusion is that the partial-day paper gain from EPM does not provide a complete additional outcome, so the failed gates should be retained without retuning. A new regime with favorable conditions is the strongest counterexample, but it must be tested going forward with costs and event timing. The sources of this information include query research and trade queries from the catalyst fund, as well as stock bar data from https://runway.adityaperswal.workers.dev/data/stock-bars.
A news scan found the headline 'OPEN910 existing event edge remains unvalidated after actual open'. This refers to a situation where an automated trading fund manager is analyzing the performance of their trading strategy. They reused old backtests, not new ones, and found the following results: Premise 1 had an EPM of 1928 with all 12 training cells being negative, with a preferred train return of -6.551% and a holdout return of 6+3.823%. The win rate was 4/6, with a win percentage of 2.6432% and a loss percentage of 3.2626%. The sampled drawdown was 3.9565%, with a bootstrap confidence interval of [-1.77895, 3.06512]%. This is a statistical measure, meaning a range of values within which the true result is likely to lie. The raw quarter Kelly, a measure of risk, was 0.063806, which is descriptive only. For LOVE 1677, the stress test had a return of -2.34135%, with a drawdown of 12.9858% and a confidence interval cross of 0, and the event was already released. For TLX 2167, the training return was -25.273%, with a holdout return of 19+11.0352%, and a win rate of 9/19. The win percentage was 6.5854% and the loss percentage was 4.4908%, with a drawdown of 23.9874% and a confidence interval of [-2.0924, 3.5902]%. This means the true result is likely to lie within this range. The generic momentum was not FDA cohort, meaning it did not meet the criteria for a specific group. The query trades had 3 losses and 2 operator liquidations, which were censored, meaning they were not included in the analysis. The conclusion was to approve the quarter Kelly of 0, but one prospective EPM entry was not finished, and there was no independent validation. A countercase regime change could yield a positive edge, but it requires new prospective evidence, not just re-tuning the holdout data. The sources used were query_research, query_trades, and a website, all related to the catalyst fund with IDs 1928, 1940, and 2234, and a stock bars data website.
A news scan found the headline 'PRE91012 frozen edge audit: positive cells do not authorize this session'. This is a report from an automated trading fund manager. The trading run uses prior tests, not a new experiment. There are three premises: Premise 1 is TLX2167 with a stress holdout of 19, a win rate of 6.5854%, a loss rate of 4.4908%, a return of 11.0352%, and a drawdown of 23.9874%, with a confidence interval of -2.0924% to 3.5902%; the training loss is 25.273% and the generic momentum is not from the FDA cohort. Premise 2 is LOVE1677 with a stress of 10, a win rate of 20%, a win rate of 10.7024%, a loss rate of 2.7538%, a return of -2.34135%, and a drawdown of 12.9858%, with a confidence interval of -3.3193% to 4.0585%; the actual release ends the run up. Premise 3 is EPM1928 with a stress of 6, a win rate of 66.6667%, a win rate of 2.64321%, a loss rate of 3.26259%, a holdout of +3.823%, a training loss of -6.551%, and a confidence interval of -1.77895% to 3.06512%; all 12 train cells are negative. The own record shows 3 losses, 2 operator censored from query trades, with a future p-value of 0. The conclusion is approved quarter Kelly 0, but there is an unknown independent live edge, and no averaging of incompatible cohorts. A strong countercase is possible, with changed regimes and positive historical cells, but it needs prospective evidence, not reuse of already observed holdout. The source is https://runway.adityaperswal.workers.dev/data/stock-bars and runway:query_research?fund=catalyst.
A news scan found the headline that Catalyst own record and TLX market association do not estimate an event edge. The query of Catalyst trades returns 3 closed trades, 0 wins, with an average price loss of 16.38060% and a profit and loss of -31.93726. The MIRM/IONS operator notes liquidation and censored intended horizons. The actual price loss of 45.86006% equals 6.44035 listed stop loss, which is not a cash loss bound. There are no arrival quotes or order comparisons, so the market versus limit slippage page is not estimable and zero cannot be imputed. The TLX has a 60-day daily ordinary least squares beta of 0.841656 and correlation of 0.210142 in a 454-bar ADS sample. This market association does not guarantee FDA payout or diversification. The default 19 holdout mean 95% bootstrap confidence interval is -2.09237 to 3.59020%, which crosses zero. The conclusion is that the live profit to win magnitude is unknown and the adopted size is 0. The record of 0 wins out of 3 trades is descriptive, not a future prediction, with a probability of 0. A strong countercase of forced liquidations and short sample understate the event strategy, which invalidates the inference of a positive or negative edge. The sources of this information are the query of Catalyst trades and the stock bars data for TLX and SPY.
The Darden market-control instability and the censored live record do not show a positive edge. The data shows that DARDEN has a 76.280% event mean, with a confidence interval of -1.49818% to 2.52709% and 4 out of 6 wins with a Wilson score of 0.29999 to 0.90323. The source of this data is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=DRI,SPY&feed=sip&adjustment=all. An ordinary least squares analysis of DRI's return on gross compared to the same window for SPY shows a train alpha of 0.251474%, beta of 0.190686, and correlation of 0.202725, but the test alpha is -0.278871%, beta is -1.678656, and correlation is -0.902852. The test mean excess return is 1.38334%, but this does not establish a stable alpha due to sign reversal, small sample size, and post-selection bias. The benchmark holds from T5 to T1 close, while DRI exits intraday, resulting in different exposure durations. A review of the query trades fund catalyst ledger shows three closed trades with 0 wins, a mean loss of 16.380601%, and a realized loss of 31.937258 USD. Two operator liquidations censored the intended horizons. The largest loss was 45.860062%, which was due to a listed stop loss of 6.440348. There is no observed average winner, and actual entry quotes history is absent, so execution's spread and slippage cannot be separated from gaps and monitor latency. The operational Kelly criterion is 0. The validity of the positive expected return is not identified by three heterogeneous losses or six selected paper returns. The soundness of the results is limited by sampling and censoring, and the fact that 0 out of 3 trials were successful does not provide confidence in the strategy. Additionally, the first run losses do not disprove the new strategy, and genuinely new prospective data would change confidence. It is also important not to pool operator liquidations with planned stop or target outcomes as if they were identical trials.
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 study on commodity exposure and its effect on earnings found no evidence that being affordable or exposed to certain market factors creates an edge in predicting earnings. The study used a statistical method called ordinary least squares, or OLS, to analyze the daily adjusted returns of 252 matched days. The results showed an alpha of -0.243994% per day and a beta of 0.045827 for the SPY, which is a measure of volatility, and a beta of 1.011687 for the XLE, which is an energy sector index. Another set of results showed an alpha of -0.003762% and a beta of 1.634852 for the SPY and 0.171132 for the XLE. These results are descriptive and do not claim to predict any future events or significance. The study also analyzed the two-day returns of 6,393 securities from September 8 to 9 and found a median return of -0.88665%. The study concluded that merely being affordable or exposed to certain market factors does not create an edge in predicting earnings. The study suggests that company-specific news can overwhelm sector trends and that a costed event sample is needed to independently verify the results. The data for this study came from a source at https://runway.adityaperswal.workers.dev/data/stock-bars and a query of trades from a fund called catalyst.
A midnight payoff audit was conducted, which is a review of the performance of an automated trading fund. The audit found the following: there were three losses with a mean loss of 16.380601%, and there was no average winner, which refers to a trade that results in a profit. Additionally, there were two operator liquidations, which means that the fund had to sell assets to meet its financial obligations. The audit also found that the strategy used by the fund was not unbiased, meaning it was not based on a representative sample of trades. The audit examined two sets of data: the first set showed a return of -7.331815% and a maximum drawdown, which is the maximum loss of capital from a peak to a trough, of 9.371961%. The second set of data showed a return of 1.318443% for one stock and a loss of 3.743633% for another. The expectancy, which is a measure of the average outcome of a trade, was -1.212595%. The audit also used a formula called the quarterKelly formula to determine the optimal size of the trades, which is a way to calculate the ideal amount of capital to allocate to a trade. The formula showed that the maximum size of the trades should be 0.3. The audit also found that two stocks, LOVE and CHWY, had different returns, with LOVE having a return of -2.341352% and CHWY having a return of -1.719988%. The audit concluded that the size of the trades should be 0, meaning that no trades should be made. This conclusion is valid under certain conditions, but the audit noted that the results are limited by the small sample size and the fact that the data used was historical and may not reflect future performance. The data used for the audit came from a query of trades from the catalyst fund and a website called runway.adityaperswal.workers.dev.
A news scan found the headline 'After-close edge gate keeps prospective win outside frozen holdouts'. The automated trading fund manager analyzed the data and found that the numbers do not fit. The manager looked at the LOVE cost stress, which had a negative 10p.2, a win rate of 10.702374%, a loss rate of 2.753813%, a compound rate of -2.341352%, a drawdown of 12.985803%, and a mean of -0.0625755%. The 95% mean confidence interval was between -3.319283% and 4.058455%. The quarter Kelly was 0. The manager also looked at CHWY, which had a negative 6p.5, a win rate of 4.523391%, a loss rate of 4.828695%, a compound rate of -1.719988%, and a drawdown of 14.258614%. The negative Kelly was clipped at 0. The premise of a prospective LOVE plus 1.211948% stress was not enough evidence to make a decision. The manager owns 3 closed trades with 0 wins, including 2 operator liquidations, and the average winner is undefined. The conclusion is that there is no quantified positive edge, so the allocation is 0. A larger pre-declared cost independent holdout could support taking a risk, but the small selected samples do not prove a universal negative edge. The data came from https://runway.adityaperswal.workers.dev/data/stock-bars and the query trades from the catalyst fund. The existing recorded CLI 1688 and vectorbt 1677 remain rejected, so no retest is needed for standdown.
A news scan found the text: Reuse1753/original38/1677; no new fit or backtest. The CHWY, or Chewy stock, had a chronological return of -1.719988% with a win rate of 5 and a loss rate of 4.828695%, and a drawdown of 14.258614. A Python calculation, called the Kelly criterion, which is a formula to determine the optimal amount to invest, was -0.1747224067, but was clipped to 0. The LOVE strategy, which is a type of trading strategy, required 10 exits with a base win rate of 3 and a win rate of 7.292817%, a loss rate of 2.929065%, a return of -0.368512%, and a drawdown of 12.286896. The stress test, which is a simulation of difficult market conditions, had a win rate of 10.702374%, a loss rate of 2.753813%, a return of -2.341352%, and a confidence interval of -3.319283 to 4.058455%. The own ledger, which is a record of trades, had 3 closed trades with 0 wins and 2 censored operator liquidations, and the average winner was undefined. The new LOVE paper is unfinished and cannot update the distribution. The selection had a small N limit inference, which means that the sample size was small, and neither a universal negative edge nor a credible positive edge was established. An independent predeclared costed holdout with 15-minute gap-aware exits would change the allocation, but a current green mark does not. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and runway:query_trades?fund=catalyst.
A news scan found the headline was not relevant to this report. The report includes summaries of studies 38, 1677, 1678, and 1688, and Read 1733 and 1736, with no identical rerun. The report analyzed CHWY, which is a stock ticker, and found the following results: average win was 4.523391%, average loss was 4.828695%, return was -1.719988%, and drawdown was 14.258614%. A Python calculation, using a concept called the Kelly criterion, which is a formula to determine the optimal amount to invest, resulted in a fraction of Kelly capital of -0.1747224067, which was clipped to 0. A prospective pre-event analysis of CHWY resulted in a return of -2.687668%, which was kept separate. The report also analyzed LOVE, which is a stock ticker, and found the following results: average win was 7.292817%, average loss was 2.929065%, return was -0.368512%, and drawdown was 12.286896%. The report also included stress tests, which are simulations of difficult market conditions, with a win rate of 10.702374% and a loss rate of 2.753813%, resulting in a return of -2.341352% and a mean of -0.062576%. The report selected only time periods with positive results, but these results were not executable, meaning they could not be used to make trades. The report also recomputed the ledger, which is a record of trades, from 3 fills, which are executed trades, and 0 wins, and found an average loss of 16.3806011337%, with no average winner, as there were no winning trades. There were 2 operator liquidations, which are forced sales of assets, that censored intent, meaning they affected the results. The sampling method used was selected and small, and the report notes that it cannot prove a universal negative edge, meaning it cannot prove that the strategy will always lose. The report also mentions that credible independent net mean with actual 15-minute exits would move allocation above 0, subject to caps, but today's news does not affect this. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and runway:query_trades?fund=catalyst, with 18565 observations and original analyses 38 and 1677.
An audit of the opening-run edge was conducted by reading the original backtests, which are tests of a trading strategy using historical data, and querying the down ledger, a record of transactions. The results of the CHWY test, which used a chronological holdout, a method of testing a strategy by withholding some data, showed a return of -1.719988% and a drawdown, the maximum loss from a peak, of 14.258614%. The Python quarter Kelly capital, a formula used to calculate the optimal amount of capital to allocate to a trade, was -0.1747224, which was clipped to 0. A prospective pre-event test showed a return of -2.687668%. The LOVE test, which used a base probability of 30%, showed a return of -0.368512% and a drawdown of 12.286896%. When stress tested with a probability of 20%, the return was -2.341352%. The results showed that the selected time only gain cannot validate the required exits, and all confidence intervals, a range of values within which a result is likely to lie, crossed 0.3. The audit found that 0 out of 3 wins were successful, with a mean loss of 16.380601%, and the average winner was undefined. Two operator liquidations, the forced sale of a position, occurred, censoring the horizon, or limiting the view. The strongest counterexample, a small sample, cannot prove that all future edges, or advantages, are negative. The conclusion is that a zero allocation is justified today, but this does not mean that the strategy is universally ineffective. The sources used for the audit were https://runway.adityaperswal.workers.dev/data/stock-bars and runway:query_trades?fund=catalyst, and the original dates in the analysis were 38 observations from 84 to 101.
The Catalyst ledger was audited at 12:30. The results are as follows: the ledger contains 3 closed losses and 0 open or pending trades, with 2 operator liquidations that did not meet their intended horizons. A Python analysis of the ledger found the following returns: MIRM -0.439321%, IONS -2.842420%, and RARE -45.860062%, with a mean loss of 16.380601% and a win rate of 0/3. The average winner is undefined. The sample size is too small to determine if all future edges will be negative. The RARE exit price was 13.98976, which is 41.7093% worse than the stop price of 24. A separate analysis of CHWY stock from August 25 to September 8 found a negative observation, with an open price of 24.47 on August 25 and 23.86 on September 8, and a 5 basis point fee and slip on each side, resulting in a net loss of 2.687668%. This new observation was not added to the historical holdout data, which has the following parameters: N6, p50%, W4.523391%, L4.828695%, mean -0.152652%, return -1.719988%, and DD 14.258614%. The costs and corrected capital Kelly formula imply non-positive capital for CHWY, so the adopted capital is 0. The sources for the runway are query_trades?fund=catalyst and https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CHWY,LOVE,SPY&timeframe=1Day&feed=iex&adjustment=all. Note that a basis point is a unit of measurement, in this case, a 5 basis point fee is 0.05%.
A news scan found the headline 'LOVE late-entry gain depends on one broad-market rally; confidence remains unresolved'. The automated trading fund manager's notes explain that the Premise1 strategy has a 30% probability of success, with a mean return of 1.61035%. The notes also mention that the biggest event for Premise2 was on April 9, 2025, when the stock gained 20.82783% net, while the SPY index rose 9.80126% gross. Removing this event from the analysis yields a mean return of -0.524927%. The notes also discuss the correlation between the stock's net return and the SPY index's gross return, which is 0.914914. The strongest counterargument to the strategy is that large winners are part of the strategy and should not be erased. However, the rebuttal is that uncertainty and mandate-compliant exits still fail. The notes conclude that no additional filters were chosen and that new evidence is required to support the strategy, including a future notice-aware cohort with actual executable exits and a positive cost-stressed lower confidence bound.