Notes

The QOE90906 portfolio had a return of -29.814993098213172 percent and a drawdown of 31.725807872804946 percent. It started with 3 equal parts, called sleeves, each with $1000. These sleeves were not rebalanced, meaning their proportions were not adjusted over time. This was a hypothetical test, not a real investment, and it was done in a way that is not currently possible with whole lots of assets. The results are for the whole portfolio, not three separate tests, and each asset's performance was recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return percentage of -20.8666154028044 and a drawdown percentage of 26.015785983414407. It started with 3 equal cash sleeves, each with $1000. There was no rebalancing of funds between sleeves. The results are based on hypothetical investments, with fractional parts of assets, which is not currently possible with whole lots. The portfolio results are not three separate observations, but rather per-asset metrics were recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return of -27.14% and a drawdown of 32.61%. It started with 3 equal parts, or sleeves, each with $1000. These sleeves were not rebalanced over time, meaning money was not moved between them. This was a test and the results are not based on real trading, but rather a hypothetical scenario where fractions of assets could be bought, which is not possible in real life with whole assets. The results of the portfolio are not the same as if each sleeve was a separate investment. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return percentage of -17.851468588231846 and a drawdown percentage of 28.669948103804877. This portfolio started with 3 equal parts of cash, with $1000 in each part. The parts did not exchange money with each other over time. The results are based on a hypothetical situation where fractions of assets can be bought, which is not possible with whole assets. The results of the portfolio are not the same as having three separate portfolios, and each asset's performance was recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return percentage of -7.858732322364659 and a drawdown percentage of 12.23382201686649. It started with 3 equal cash sleeves, each with $1000. There was no regular rebalancing of money between sleeves. This is a hypothetical test, not a real investment, and it's not possible to do this with whole lots of assets. The results are for the whole portfolio, not three separate tests, and each asset's performance was recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return of 3.6814321221426027 percent and a drawdown of 8.977276852581916 percent. It started with 3 equal cash sleeves, each with 1000 US dollars. The portfolio had 3 independent sleeves with no rebalancing between them, and the results are based on hypothetical implementation, which means it's not possible to do this with whole lots of assets in real life. The results of the portfolio are not the same as having three separate observations, and the metrics for each asset are recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

A portfolio called QOE90906 had a return of -7.9229 percent and a drawdown of 10.8444 percent. It started with 3 equal parts of money, which is called sleeves, with 1000 US dollars in each sleeve. The portfolio had no rebalancing, which means the money was not moved between sleeves, and it was implemented in a hypothetical way, using fractions of assets, not whole lots. The results are for the whole portfolio, not three separate observations, and metrics for each asset were recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return of 3.609240646926226 percent and a drawdown of 5.876893526873883 percent. It started with 3 equal cash sleeves, each with $1000. There was no rebalancing between sleeves, and the implementation was hypothetical, using fractions of assets, which is not currently possible with whole lots. The results are not from three separate observations, but rather from per-asset metrics recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return of -5.736240140215687 percent and a drawdown of 10.031284294057595 percent. It started with 3 equal parts, or sleeves, each with $1000. These sleeves were not rebalanced, meaning money was not moved between them over time. This was a test and the results are not based on real trading, but rather a hypothetical scenario. The results for each part of the portfolio were tracked separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return of 6.07% and a drawdown of 6.87%. It started with 3 equal parts, or sleeves, each with $1000. These sleeves were not rebalanced, meaning their proportions were not adjusted over time. The results are based on a hypothetical, or imaginary, investment and are not feasible with current whole lot sizes. The portfolio's performance is not the result of three separate observations, but rather a single portfolio with individual asset metrics recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return of -8.56284813631646 percent and a drawdown of 12.648388470819416 percent. It started with 3 equal cash sleeves, each with 1000 US dollars. There was no rebalancing of money between sleeves over time. This is a hypothetical test, and it does not use whole lots of assets, which is not currently possible. The results are for the whole portfolio, not three separate tests, and metrics for each asset are recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return of 2.8891298474898797 percent and a drawdown of 6.88228225795463 percent. It started with 3 equal cash sleeves, each with 1000 US dollars. The portfolio had no rebalancing between sleeves and used fractional implementation, which is not feasible with whole lots. The results are not from three separate observations, but rather from per-asset metrics recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return percentage of -0.8574056159139642 and a drawdown percentage of 12.224104890489363. It started with 3 equal cash sleeves, each with $1000. A sleeve is a part of the portfolio, in this case, three independent parts. There was no periodic rebalancing, which means the money was not moved between sleeves at regular times. The results are based on hypothetical, or imaginary, investments that can be split into fractions, but this is not possible with current whole lot investments. The results of the portfolio are not three separate observations, but rather the results of the whole portfolio, and metrics for each asset are recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return of 11.55963477743349 percent and a drawdown of 10.9711666453424 percent. It started with 3 equal parts of cash, with 1000 US dollars in each part. These parts, called sleeves, were managed separately without moving money between them at regular times. The results are based on a hypothetical test, not actual trading, and the amounts used are not practical for real trading with whole lots. The results for each asset were recorded separately, so the overall results are not just three separate observations. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The QOE90906 portfolio had a return of -8.461290978540303 percent and a drawdown of 24.383400699293368 percent. It started with 3 equal parts of cash, which is called a sleeve, with 1000 US dollars in each sleeve. The portfolio had three independent parts, but they were not rebalanced, meaning the money was not moved between them. This was a test and not a real investment, and the results are not three separate observations. Each asset's performance was recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

A portfolio had a return of 3.003406455853086 percent and a drawdown of 21.454673348843745 percent. It started with 3 equal parts, called sleeves, each with 1000 US dollars. These sleeves were separate and did not exchange money with each other over time. The results are based on a hypothetical situation where investments can be split into fractions, which is not possible with whole lots currently. The portfolio's results are not three separate experiments, but rather a single set of results with individual asset metrics recorded separately. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The information is based on a trade ledger from September 9. The results show a gross mean percentage of -0.10685519584699117, a post-2023 stress mean percentage of -0.11673878600231807, and a compound annual growth rate percentage of -2.813704845091558. The historical worst capital loss is -6.511413477772087. The current capital is 212.7475 and the risk capital is 8.5099. The compound annual growth rate, or CAGR, is an approximate measure of growth over five years, from 2021 to 2025. The historical worst capital loss is an example and not a guaranteed limit. The current position capital and nominal risk capital are equivalent to 850.99 USD, with 245.69 USD available for quantitative deployment. No new allocation is proposed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

A review of the trading record from September 9 found three closed losses and no wins. The losses were for the stocks MIRM, IONS, and RARE, with return percentages of -0.44%, -2.84%, and -45.86% respectively. The reasons for the losses were operator liquidation for MIRM and IONS, and a stop for RARE. Since there were no winning trades, the average win is unavailable. The two operator liquidations affected the planned time frame. There are no open, pending, or closing trades from the returned down ledger, which is 0. The fund has 49.14 in supplied cash and 850.99 in equity. The record cannot justify a positive Kelly, which is a measure of how much to bet on a trade. runway:query_trades?fund=catalyst

The company EAT has confirmed an investor day, which will take place on September 17 from 8:30 to 11:15 Central Time, with a public webcast and replay available until at least October 17. A review of the event is scheduled for 16:30 UTC on September 17, after the presentation. This is separate from an earnings call on October 28, which was previously announced in a forward calendar filed with the SEC on August 12. The company also reported on the creation of a monitor, which was rejected due to a 20-cap limit, and recorded 1394, with a scheduled replacement of 126. The company's strategy is to prioritize branches with strong organic cash flow, which is validated through records and independent means, while those with weaker or absent cash flow require re-verification and do not allow for automatic entry. https://investors.brinker.com/news/news-details/2026/BRINKER-INTERNATIONAL-TO-HOST-INVESTOR-DAY-ON-SEPTEMBER-17/default.aspx

The Vectorbt strategy uses a long-only approach, meaning it only buys assets and never sells short, and it closes positions based on the difference between the first close and last close prices. It also accounts for a fee of 1 basis point plus any remaining slippage per trade. The strategy is applied to independent sleeves of $1000 each, and it measures daily close drawdown compared to the strategy's opening and closing marks. The benchmark is measured in percentage units. The QOE90906 buy-hold extension has been updated with the following results: the return for OEF is 11.3403%, for SPY it is 12.3589%, and for IWM it is 18.5585%. The drawdown for OEF is 10.815%, for SPY it is 8.8799%, and for IWM it is 11.0284%. The sample size is 3 and the win rate is 100%. The extension is for 16 basis points. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The Vectorbt long-only strategy uses the first close to last close method, with a fee of 1 basis point plus remaining slippage per side. The strategy is tested with 1000 USD independent sleeves, and daily close drawdown is compared to strategy open and close marks. The benchmark units are percent. The results show an extension with 6 basis points. The return for OEF is 11.5632 percent, for SPY is 12.5839 percent, and for IWM is 18.7958 percent. The drawdown for OEF is 10.8150 percent, for SPY is 8.8799 percent, and for IWM is 11.0284 percent. The sample size is 3, and the win rate is 100 percent. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The Vectorbt strategy used a long-only approach, from the first close to the last close, with a fee of 1 basis point plus remaining slippage per side. The strategy was tested with 1000 USD independent sleeves, and the daily close drawdown was compared to the strategy's open and close marks. The benchmark units are in percent. The results show a holdout split with 16 basis points. The return was 114.10 for OEF, 97.35 for SPY, and 34.84 for IWM. The drawdown was 26.47 for OEF, 24.50 for SPY, and 31.91 for IWM. The sample size was 3, and the win rate was 100 percent. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The Vectorbt strategy used a long-only approach, closing positions at the first close and reopening at the last close, with a fee of 1 basis point plus any remaining slippage per side. The strategy was tested with 1000 USD independent sleeves, and daily close drawdown was compared to strategy open and close marks. The benchmark units were measured in percent. The results showed a 6 basis points holdout, with returns of 114.53 for OEF, 97.75 for SPY, and 35.11 for IWM. The drawdown was 26.47 for OEF, 24.50 for SPY, and 31.91 for IWM. The sample size was 3, and the win rate was 100. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

A trading strategy called QOE90906 was tested. It used a method called Vectorbt, which means a way of analyzing data to make trading decisions, and it only made long trades, meaning it only bought assets with the goal of selling them later at a higher price. The strategy was tested from the first closing price to the last closing price, and it included a fee of 1 basis point, which is a unit of measurement for interest rates or fees, plus any remaining slippage, which is the difference between the expected price of a trade and the actual price, per trade. The test was done with 1000 USD in independent parts, called sleeves. The daily closing price drawdown, which is the decrease in value from the highest point, was compared to the strategy's opening and closing marks, which are the prices at the start and end of the trading period. The results were compared to a benchmark, which is a standard unit of measurement, and the results were measured in percentage units. The test results showed a return of 110.31033015563798 for OEF, 102.44290384159672 for SPY, and 90.51572356232329 for IWM. The drawdown was 31.435696473102947 for OEF, 33.79381911340275 for SPY, and 41.273284001020706 for IWM. The test was done 3 times, and the strategy won 100 percent of the time, with a fee of 16 basis points, which is 0.16 percent. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all

The Vectorbt strategy used a long-only approach, from the first close to the last close, with a fee of 1 basis point plus remaining slippage per side. The strategy was tested with 1000 USD independent sleeves, and daily close drawdown was compared to strategy open and close marks. The benchmark units are percent. The results show a return of 110.73137217374884 for OEF, 102.84819524465156 for SPY, and 90.89713670865416 for IWM. The drawdown was 31.435696473102936 for OEF, 33.79381911340268 for SPY, and 41.27328400102065 for IWM. The sample size was 3, and the win rate was 100, with a 6 basis points split for training. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=OEF,SPY,IWM&timeframe=1Day&feed=sip&adjustment=all