Stats

This report is based on two premises. The first premise is that a 2014 study by AQR, which ranked momentum based on a 12-month period with a 1-month skip, is evidence for momentum, but this adapter does not use that method. The study can be found at https://www.aqr.com/-/media/AQR/Documents/Journal-Articles/JPM-Fact-Fiction-and-Momentum-Investing.pdf. The second premise, from a frozen note numbered 2124, involves nine original sector ETFs and a specific trading strategy. The strategy involves calculating the momentum of each sector based on the prior month's end close and the close 189 days prior, then selecting the top three positive sectors. The next session's open is used to determine the trade, with three fixed independent cash sleeves and no leverage. A stop-loss is set at 6 ATR, which stands for Average True Range, a measure of volatility. The strategy also includes a target at 6 ATR and a daily high that makes the break-even point effective the following day. A gap open is used as an actual proxy, with the same bar stop first. The data used for this strategy was requested from 2009, but only data from 2016 onward was received. The warm-up period means that the first 252 trades in 2017 were used to establish the baseline, with no data used from before 2016. The frozen 2019 split was retained and not moved to improve results. The vectorbt long-only cash-sharing strategy was used, with every daily equity and trade count reconciled. A fee of 1 basis point, or 0.01%, was charged on each side, plus a 5 basis point slip. Corporate actions and total return were not independently rebuilt, and no taxes, cash yield, or operator costs were considered. The results show 54 trades, with a mean return of 0.689527%. The entry month cluster had a 95% confidence interval of -0.960180% to 2.353536%, with a p-value of 37.0370% and a W-value of 5.9756%. The plug-in half Kelly risk was 0.057695. The primary 252 training period was negative, and the positive 189 neighbor cannot replace the pre-registered rule. The historical holdout may overlap prior research, and the daily break-even proxy was not live-proofed at 15 minutes. As a result, live adoption was rejected, but the positive holdout was retained for prospective research. The artifacts from this research can be found in the files research/test_sector.py, sector_results.json, and percelltrades/returns.

This report is based on premises that include evidence for momentum from a 2014 study by AQR, which can be found at https://www.aqr.com/-/media/AQR/Documents/Journal-Articles/JPM-Fact-Fiction-and-Momentum-Investing.pdf. The report also references a frozen note, number 2124, which describes a strategy using nine original sector ETFs. The strategy involves ranking these ETFs based on their performance over the past 252 days, excluding the most recent month, and then selecting the top three. The next session's open is used to determine the entry point, with three fixed independent cash sleeves and no leverage. The strategy also includes a stop-loss and target, with a daily high of 2R making the stop-loss effective the following day. A gap open is used as a proxy, with the same bar stop being the first stop. The data used for this report was requested from 2009, but only data from 2016 onward was received. The warm-up period means that the first 252 rule trades were in 2017, with no pre-2016 data used. The frozen 2019 split was retained and not moved to improve results. The vectorbt long-only cash-sharing strategy was used, with every daily equity and trade count reconciled. The fees were 1 basis point on each side, plus a 15 basis point slip. The corporate action total return was not independently rebuilt, and no taxes, cash yield, or operator costs were included. The results show 190 trades, with a mean return of 1.011710%, and an entry month cluster of 3000 bootstrap CI of [-0.048485, 2.130268]%. The p-value was 38.4211%, the W-value was 8.2380%, and the L-value was 3.4970%. The plug-in half Kelly risk was 0.061405. The primary 252-day training period showed negative results, but a positive 189-neighbor cannot replace the pre-registered rule. The historical holdout may overlap prior research, and the daily BE proxy is not a 15-minute live proof. As a result, live adoption is rejected, but the positive holdout is retained for prospective research. The artifacts from this research can be found in the files research/test_sector.py, sector_results.json, and percelltrades/returns.

This report is based on two premises. First, a 2014 study by AQR found evidence for momentum, which is a trading strategy that involves buying assets that have performed well in the past. The study is available at https://www.aqr.com/-/media/AQR/Documents/Journal-Articles/JPM-Fact-Fiction-and-Momentum-Investing.pdf. Second, a frozen note from 2021, note 2124, describes a trading strategy that uses nine original sector ETFs and a specific set of rules to buy and sell assets. The rules include using the prior-month-end close price and the close price 252 days ago to determine which assets to buy, and using a stop-loss order to limit losses. The strategy also uses a target price, which is six times the average true range, a measure of volatility. If the daily high price is two times the average true range above the entry price, the stop-loss order is moved to the break-even point the next day. The strategy uses a gap open as a proxy for the actual open price, and the same bar stop is used as the first stop. The data used for this strategy was obtained from https://runway.adityaperswal.workers.dev/data/stock-bars, but only data from 2016 onwards was available, although data from 2009 was requested. The first 252 trades in 2017 were used as a warm-up period, and no data from before 2016 was used. The strategy was split in 2019, but the split was not moved to improve the results. The vectorbt library was used to backtest the strategy, which is a long-only strategy that shares cash every day and reconciles the equity and trade count daily. The fee for each trade is 1 basis point, plus a 15 basis point slip. The total return does not include corporate actions, taxes, cash yield, or operator costs. The strategy made 48 trades, with a mean return of -0.511591%. The entry month cluster had a confidence interval of [-2.046171, 0.966631]%, and the p-value was 33.3333%. The W-score was 4.4882%, and the L-score was 3.0115%. The plug-in half Kelly risk was 0.000000. The primary 252-day training period had a negative return, and the positive 189-neighbor cannot replace the preregistered rule. The historical holdout period may overlap with prior research, and the daily break-even proxy is not a 15-minute live proof. Therefore, the strategy is not recommended for live adoption, but the positive holdout is retained for prospective research. The artifacts of this research are available in the files research/test_sector.py, sector_results.json, and percelltrades/returns.

This report is based on premises that include evidence for momentum from a 2014 AQR study, which is a research paper by AQR, a company that studies investment strategies. The study can be found at https://www.aqr.com/-/media/AQR/Documents/Journal-Articles/JPM-Fact-Fiction-and-Momentum-Investing.pdf. The report also references a frozen note, number 2124, which describes a trading strategy using nine original sector ETFs, or exchange-traded funds, which are a type of investment fund. The strategy involves ranking the ETFs based on their performance over the prior 252 days, excluding the last 21 days, and then selecting the top three. The next session's open price is used, and three fixed independent cash sleeves, or portions of the investment, are used, with no leverage, or borrowing. The strategy also includes a stop-loss, which is a rule to sell a security when it falls to a certain price, and a target price, with a daily high that makes the stop-loss effective the following day. A gap open, which is when a security's price opens higher than its previous close, is used as a proxy, or substitute, for the actual price. The report also references a data request to a website, https://runway.adityaperswal.workers.dev/data/stock-bars, which was supposed to provide data from 2009, but only provided data from 2016 onward. The report states that the first 252 days of trades in 2017 were used as a warm-up period, and that there was no data before 2016. The report also states that the data from 2019 was retained, and not moved to improve the results. The report uses a vectorbt, or a type of backtesting software, to test the strategy, and reconciles the daily equity and trade count. The report also states that there is a fee of 1 basis point, or 0.01%, each side, plus a 5 basis point slip, which is a small reduction in the price of a security. The report provides statistics on the strategy's performance, including 189 trades, with a mean return of 1.268803%, and a confidence interval of [0.218449, 2.374473]%. The report also states that the primary 252-day training period was negative, but the positive 189-neighbor, or nearby, period cannot replace the pre-registered rule. The report concludes that the historical holdout, or test period, may overlap with prior research, and that the daily break-even, or BE, proxy is not a live proof. The report rejects live adoption, but retains the positive holdout for prospective research. The report references artifacts, or files, including research/test_sector.py, sector_results.json, and percelltrades/returns.

This report is based on premises that include evidence for momentum from a 2014 AQR study, which is a type of investment research, and a frozen note from 2124. The study found that momentum, or the tendency of stocks to continue rising if they have been rising, is a real effect. The frozen note described a trading strategy that used nine original sector ETFs, which are a type of investment fund, and ranked them based on their performance over the past 252 days, with a 12-month skip of one month. The top three performing sectors were selected, and the next session's open was used to determine the trade. The strategy used three fixed independent cash sleeves, which means that the investment was divided into three parts, and no leverage, which means that no borrowed money was used. The strategy also included a stop-loss, which is a rule to sell a stock if it falls by a certain amount, and a target, which is a price at which to sell a stock. If the daily high was two times the risk, the stop-loss was moved to the break-even point, which is the price at which the trade becomes profitable. The data used for this strategy was obtained from a website, but it only went back to 2016, although it was requested to go back to 2009. The strategy was tested using a method called vectorbt, which is a type of backtesting, and the results were reconciled, which means that they were checked for accuracy. The strategy had a fee of one basis point, which is a unit of measurement for interest rates, on each side of the trade, plus a five basis point slip, which is a fee for buying or selling a stock. The strategy made 47 trades, with a mean return of -0.085267%, and the results were analyzed using a method called bootstrapping, which is a way of estimating the accuracy of a statistic. The results showed that the strategy was not effective, and it was decided not to adopt it for live trading. The artifacts of this research, including the code and results, are available in files called research/test_sector.py, sector_results.json, and percelltrades/returns.

A trading plan was created based on historical prices before September 2024. The issuer, Tamboran, has eight upcoming earnings dates: 2024-09-20, 2024-11-12, 2025-02-12, 2025-05-14, 2025-09-25, 2025-11-13, 2026-02-11, and 2026-05-13, as found on their website. The plan involves entering a trade at the open price of the fifth prior trading session and exiting at the close of the prior session. A stop-loss is set at one times the prior 20-day mean daily range below the entry price, and a target is set at three times the range above. The plan also includes a gap stop and a target limit. The plan was trained on data from 2024 to 2025 and tested on data from 2026. Fees are 5 basis points plus 45 basis points for slippage on each side. The plan uses a vectorbt long-only strategy with two marks per day and explicit entry and exit prices. A preliminary bug was corrected before publication. The plan's premises are that historical runups are positive, but the selection and sample mean are uncertain. A bootstrap confidence interval was calculated to be between 1.8919149420659975% and 2.5688714251883793% with 20,000 resamples. The plan is for watching or paper trading only and is not eligible for live trading due to lack of independent evidence and uncalibrated risk. The current gas-sales transition is a regime change, and preproduction events may not be representative. A proposed paper entry on September 18 requires actual prints on September 18 and an exit before September 25.

A trading fund manager made notes about a train of events for the ticker symbol TBN from T-5 to T-1 with a 1ADR/3ADR setup and a 50 basis point movement. The manager looked at historical prices before eight earnings dates: 2024-09-20, 2024-11-12, 2025-02-12, 2025-05-14, 2025-09-25, 2025-11-13, 2026-02-11, and 2026-05-13, which were found on the website https://ir.tamboran.com/news-events/ir-calendar/past. The manager used the original release details from 13, 14, 20, 36, 38, and 45. The manager decided to enter the trade at the open price of the fifth prior trading session and exit at the close price of the prior session. The manager set a stop loss at one times the prior 20-day mean daily range below the entry price and a target at three times above the entry price. If there was a gap, the stop loss would be at the minimum of the open price or the stop loss price, and the stop loss would be triggered on the first bar that hit both conditions. The manager also set a target limit. The manager used all-adjusted SIP data through September 10 and trained the model from 2024 to 2025, holding out 2026 for chronological testing. The fees were 5 basis points plus 45 basis points for slippage on each side. The manager used a vectorbt long-only strategy with two marks per day and explicit entry and exit prices. The manager checked that the trade count and compounded manual net returns matched the expected results to within a very small margin of error, less than 1e-8. A preliminary bug that caused the strategy to reverse direction incorrectly was corrected before publication, and the incorrect output was discarded. The manager assumed that historical runups were positive, but noted that the selection and small sample size meant that the predictive edge was uncertain. The manager calculated a 95% confidence interval using a bootstrap method with 20,000 resamples and a seed of 91102, which resulted in an interval of -0.8509001136851805% to 3.2089441420326583%. The manager concluded that the strategy should only be watched or used on paper, and not used live, because there was no independent evidence for a +2R quarter or trail exit, no calibrated gap-tail or full-company risk, and the current model failed to achieve a net return of 3R. The manager also noted that the current gas-sales transition was a regime change, and that preproduction events may not be representative. The manager found that the Half Kelly positive training fraction was unstable, and that the holdout without losses had an undefined Kelly allocation, which was reported as 0. The manager did not place an order, but proposed a paper entry on September 18 and an exit on September 24 before the US market opened on September 25.

A news scan found the headline about NET911 TBN T-5 to T-1 1ADR/3ADR holdout 30bp. The trading fund manager made notes before historical prices were frozen, note2123. The issuer has eight earnings dates: 2024-09-20, 2024-11-12, 2025-02-12, 2025-05-14, 2025-09-25, 2025-11-13, 2026-02-11, and 2026-05-13, according to https://ir.tamboran.com/news-events/ir-calendar/past. The manager will enter a trade at the open of the fifth prior trading session and force an exit at the prior session's close. A stop will be set at one prior 20-day mean daily range below the entry, with a target three times above. A gap stop will be set at the minimum of the open and stop, and the stop will be triggered on the first dual-hit bar, with a target limit. The manager used all-adjusted SIP through September 10, training data from 2024-25, and a chronological holdout from 2026. Fees are 5 basis points plus 25 basis points for slippage on each side. The manager used Vectorbt for long-only trades, with two marks per day and explicit entry and exit prices. A preliminary bug that affected trades in both directions was corrected before publication. The manager notes that historical runups were positive, but selection and sample mean are uncertain and may not predict future results. A mean 95% event bootstrap confidence interval was calculated to be between 2.300303974275275% and 2.9799737404206494%, based on 20,000 resamples with a seed of 91102. The manager concludes that this strategy is only for watching or paper trading, and not eligible for live trading, due to a lack of independent evidence for quarter or trail exits, and uncalibrated gap-tail and full-company risk. The current gas-sales transition is a regime change, and preproduction events may not be representative. The Half Kelly positive training fraction is unstable, and the holdout without losses has an undefined Kelly. No order was placed, and a proposed paper entry on September 18 requires actual prints, with an exit on September 24 before the US market opens on September 25.

A news scan found the headline about NET911 TBN T-5 to T-1 1ADR/3ADR train 30bp. The trading fund manager made notes before looking at historical prices. The issuer has eight earnings dates: 2024-09-20, 2024-11-12, 2025-02-12, 2025-05-14, 2025-09-25, 2025-11-13, 2026-02-11, and 2026-05-13, which were found on the website https://ir.tamboran.com/news-events/ir-calendar/past. The manager will use the original release details 13, 14, 20, 36, 38, and 45. The manager will enter a trade at the open price of the fifth prior trading session and exit at the close price of the prior session. The stop loss will be set at one times the prior 20-day mean daily range below the entry price, and the target will be set at three times above the entry price. If there is a gap, the stop loss will be set at the minimum of the open price and the stop loss price. The manager will use a type of backtesting called vectorbt, which is a way to test trading strategies, and will only consider long positions, with two marks per day, and explicit entry and exit prices. The manager found a bug in the code that was corrected before publication. The results show that the mean 95% event bootstrap confidence interval is between -0.4535044521155866% and 3.6226119078948753%, based on 20,000 resamples with a seed of 91102. The manager concludes that this strategy is only for watching or testing on paper, and not for actual trading, because there is no independent evidence to support it, and the current model does not work well. The manager also notes that the current transition in gas sales is a significant change, and it is not possible to assume that past events are representative of future events. The manager does not recommend placing an order, and proposes a paper entry on September 18, with an exit on September 24, before the earnings date on September 25.

A frozen note was made before looking at past prices. The issuer has eight earnings dates: 2024-09-20, 2024-11-12, 2025-02-12, 2025-05-14, 2025-09-25, 2025-11-13, 2026-02-11, and 2026-05-13, which were found at https://ir.tamboran.com/news-events/ir-calendar/past. The details of the originals are in releases 13, 14, 20, 36, 38, and 45. The system enters a trade at the open of the fifth prior trading session and exits at the close of the prior session. There are no barriers, only time controls. The system was trained on data from 2024 to 2025 and tested on data from 2026. The fees are 5 basis points plus 45 basis points for slippage on each side. A vectorbt system was used for long-only trades, with two marks per day and explicit entry and exit prices. A preliminary bug that caused incorrect reversals was fixed before publication. The system is based on the idea that historical runups are positive, but the selection and small sample size make the predictive edge uncertain. The mean 95% event bootstrap confidence interval is between 1.8919149420659975% and 2.5688714251883793%, based on 20,000 resamples with a seed of 91102. The conclusion is to watch or use the system for paper trading only, as there is no independent evidence for quarter or trail exits, and the current model fails. The current transition in gas sales is a change in the market, and past events may not be representative. The Half Kelly positive training fraction is unstable, and the holdout without losses has an undefined Kelly fraction, so the reported allocation is 0, not an estimate. There is no order, and a proposed paper entry on September 18 requires actual prints, then an exit on September 24 before the US market opens on September 25.

A news scan found the note about the NET911 TBN T-5 to T-1 time-only train with a 50bp change. The note mentions that the issuer has eight earnings dates: 2024-09-20, 2024-11-12, 2025-02-12, 2025-05-14, 2025-09-25, 2025-11-13, 2026-02-11, and 2026-05-13, which were found on the website https://ir.tamboran.com/news-events/ir-calendar/past. The details of the originals are listed as 13, 14, 20, 36, 38, and 45. The system enters the market at the open of the fifth prior trading session and exits at the close of the prior session. There are no barriers, and the control is time-only. The all-adjusted SIP is used through September 10, and the training data is from 2024 to 2025, with a holdout in 2026. The fees are 5bp plus 45bp for slippage on each side. The vectorbt is used for long-only trades, with two marks per day and explicit entry and exit prices. A preliminary bug that affected both directions was corrected before publication, and the erroneous reversal output was discarded. The premises of the system are that historical runups are positive, but the selection and sample mean are uncertain and may not have a predictive edge. The mean 95% event bootstrap confidence interval is between -0.851148076970896% and 3.2089441420326583%, based on 20,000 resamples with a seed of 91102. The conclusion is to watch or use the system for paper trading only, as it is not eligible for live trading due to a lack of independent evidence for quarter and trail exits, and the current model fails to meet the net 3R requirement. The current gas-sales transition is considered a regime change, and it is not possible to assume that preproduction events are representative. The Half Kelly positive training fraction is unstable, and the holdout without losses has an undefined Kelly. There is no order, and a proposed paper entry on September 18 requires actual prints, then an exit on September 24 before September 25 US AM.

A frozen note was made before looking at historical prices. The issuer, Tamboran, has eight earnings dates: 2024-09-20, 2024-11-12, 2025-02-12, 2025-05-14, 2025-09-25, 2025-11-13, 2026-02-11, and 2026-05-13, which were found on the website https://ir.tamboran.com/news-events/ir-calendar/past. The details of the releases are numbers 13, 14, 20, 36, 38, and 45. The system enters a trade at the open of the fifth prior trading session and exits at the close of the prior session. There are no barriers, only time control. The system was trained on data from 2024 to 2025 and tested on data from 2026. The fees are 5 basis points plus 25 basis points for slippage on each side. The system uses a vectorbt long-only strategy with two marks per day and explicit entry and exit prices. A preliminary bug that affected both directions was corrected before publication. The system is based on the idea that historical runups are positive, but the selection and small sample size mean that the predictive edge is uncertain. The mean 95% event bootstrap confidence interval is between 2.300303974275275% and 2.9799737404206494%, based on 20,000 resamples with a seed of 91102. The conclusion is to only watch or use this system on paper, not to use it live, because there is no independent evidence for quarter or trail exits with a return of more than 2R, and the current model does not account for gap-tail or full-company risk. The current transition in gas sales is a regime change, so it is not possible to assume that preproduction events are representative. The Half Kelly positive training fraction is unstable, and the holdout without losses has an undefined Kelly. There is no order, and the proposed paper entry on September 18 requires actual prints, then an exit on September 24 before the US market opens on September 25.

A news scan found the note about the NET911 TBN T-5 to T-1 time-only train with a 30 basis points change. The note mentions that the issuer, Tamboran, has eight earnings dates: 2024-09-20, 2024-11-12, 2025-02-12, 2025-05-14, 2025-09-25, 2025-11-13, 2026-02-11, and 2026-05-13, which were found on the website https://ir.tamboran.com/news-events/ir-calendar/past. The note also mentions that the originals detail 13, 14, 20, 36, 38, and 45 should be released. The strategy is to enter the market at the open of the fifth prior trading session and exit at the close of the prior session. There are no barriers, and the control is time-only. The note explains that all-adjusted SIP is used through September 10, and the training data is from 2024 to 2025, with a holdout in 2026. The fees are 5 basis points plus 25 basis points for slippage on each side. The Vectorbt long-only strategy is used, with two marks per day and explicit entry and exit prices. The note mentions that a preliminary bug was corrected before publication, and the erroneous reversal output was discarded. The premises of the strategy are that historical runups are positive, but the selection and tiny sample mean have uncertain predictive edge. The mean 95% event bootstrap confidence interval is [-0.453753409253325, 3.6226119078948753]%, with 20,000 resamples and a seed of 91102. The conclusion is to watch or use the strategy on paper only, as it is not eligible for live use due to lack of independent evidence for positive quarter and trail exits, and no calibrated gap-tail or full-company risk. The current gas-sales transition is considered a regime change, and it is noted that preproduction events may not be representative. The Half Kelly positive training fraction is unstable, and the holdout without losses has an undefined Kelly. There is no order, and a proposed paper entry on September 18 requires actual prints, then an exit on September 24 before September 25 US AM.

A news scan found the report that on the current UTC date, 17 foreign instruments were screened from 6-month charts on Yahoo, excluding the current date. Of these, 14 equities had a valid 50-day history, but there were no combined 20-day high and SMA 50 signals. The KAP had 37 bars that were invalid and the quote from 2022 was stale. The Brent oil contract closed at 101.21 on September 9, which is higher than the prior close of 97.92, but the history was one session behind the latest quote, and futures were not offered. This means that there is no way to translate the oil contract signal into a stock signal without testing. The return on Hynix was 23.20%, but the price was 1853000, which is lower than the prior price of 1856000. The price of Prysmian was 126.95, which is lower than the prior price of 131.4, and the SMA was 127.01. The sources for these observations are listed in the range 23496-23548 on https://query1.finance.yahoo.com/v8/finance/chart/. A separate scan of 9 crypto pairs on a different venue as of approximately 02:01 UTC showed that all previous open-close sessions for the completed UTC day were negative, with spreads of 1.1651% for PAXG, 0.0161% for BTC, and 0.0325% for ETH, according to https://runway.adityaperswal.workers.dev/data/crypto-snapshots. The physical gold link of PAXG does not establish incremental fabrication scarcity rent, and the momentum of generic BTC, ETH, and SOL belongs to crypto, with no concrete ASIC or power-to-token capture identified. The report rejects purchasing tokens merely because oil or power is scarce, as rising energy costs can hurt miners. This report is a descriptive current screen, not a backtest or proof that no edge exists. The regional data timestamps and FX are not comparable, and stale unknowns were retained.

On July 16, the issuer of Vista Energy released its Q2 earnings report, which can be found at https://vista-energy.cdn.prismic.io/vista-energy/u8Gi03xxlMW-RgdX_Vista-EarningsreleaseQ22026.pdf. The report states that the company produced 135,427 barrels of oil per day, with a realized price of $89.4 per barrel, and 72% of its oil volume was exported at export parity. The company's EBITDA, which stands for earnings before interest, taxes, depreciation, and amortization, was $805.2 million with a 70% margin. Its cash flow from operations was $985.1 million, benefiting from a $274.2 million release in working capital. The company's capital expenditures were $466.8 million, and it had $886 million in investment cash, including $391.9 million from the Equinor transaction. The reported free cash flow, which is the cash available after capital expenditures, was $99.1 million, or $491 million excluding the transaction. If we subtract the working capital release from the free cash flow excluding the transaction, we get $216.8 million, which is not the company's definition of free cash flow. The company's net debt was $3,056.8 million, with a pro forma leverage of 1.25 times, compared to an actual leverage of 1.41 times. However, weak oil prices or export restrictions can reverse this uptrend. On September 8, the company announced the acquisition of 66.8 million barrels of oil equivalent reserves in Bandurria Sur and Bajio del Toro, as stated in https://vista-energy.cdn.prismic.io/vista-energy/UCcll6qdM3wStAUl_Vista-announces66.8MMboeofestimatedP1reservesinBandurriaSurandBajodelToro.pdf. This acquisition adds to the company's reserves as of December 31, 2025, with 40.7 million barrels developed and 26.1 million barrels undeveloped, for a total of 654.9 million barrels of oil equivalent. In conclusion, the company may be a potential beneficiary outside of its current book value, with its cash capture being stronger than just backlog equipment, but its untested entry and oil beta remain. This is a counterexample to the prior idea that all scarcity rents stay with tankers, as an efficient exporter can benefit if delivered. The binding constraint is export access and net realization, as well as marginal reinvestment, rather than underground reserves. There will be no order until a fixed rule test and sizing are conducted.

A news scan found the headline 'C91102 166 US crypto-linked instruments: liquid leaders lack breakouts'. Premises1 scanned 13209 NASDAQ and other listed security names and found 165 crypto-keyword matches, plus issuer-linked SLE. There were 166 bar requests, with 165 having 21 or more bars, and HBIT had 10 bars. Four instruments, BIXI, BIXIW, KOYNW, and KOYNU, had stale data. The two liquidity leaders were MSTR with a price of 128.56 and a prior 20-day high of 144.92, and IBIT with a price of 43.68 and a prior 20-day high of 46.37, as well as IREN, COIN, and BMNR, but there was no breakout. Only three instruments had raw signals: WTIB with a price of 36.34, which is higher than 35.16, DAAQU with a price of 11.76, which is higher than 11.50, and KOYNW with a price of 0.236, which is higher than 0.22. The prior 20-day mean volume was 13478.91 for one instrument, 4307.34 for another, and 1536.41 for KOYNW, which had stale data since September 9. The conclusion is that there is no liquid major-linked entry. The ETF WTIB bundles oil and bitcoin using leverage, according to the issuer, and not an isolated crypto edge. Units and warrants differ from the underlying and there are no independent net tests. This new census goes beyond holdings, but the name filter is not an exhaustive business classification. A quiet product can have underlying liquidity, but an executable quote, spread, and history would be required, not simply assumed from the ETF wrapper. The decision is to reject all current orders and retain a direct watch on BTC and ETH. The source of this information is https://www.nasdaqtrader.com/dynamic/SymDir/nasdaqlisted.txt, https://www.nasdaqtrader.com/dynamic/SymDir/otherlisted.txt, https://runway.adityaperswal.workers.dev/data/stock-bars, and https://www.uscfinvestments.com/wtib.

A test called C91102 CLI breakout smoke test was run. It used a computer program to simulate trading with the symbols BTC/USD, ETH/USD, and SOL/USD, using a strategy called breakout. The test looked back 20 days and ran for 730 days, with a stop loss of 6% and a target profit of 18%. The data for the test came from https://runway.adityaperswal.workers.dev/data/crypto-bars. The results were: for BTC, a return of 24.5117%, a drawdown of 15.4848%, a win rate of 32.6531%, and 49 trades; for ETH, a return of 38.7083%, a drawdown of 24.9433%, a win rate of 23.6842%, and 38 trades; and for SOL, a return of 25.1113%, a drawdown of 28.5687%, a win rate of 48.5714%, and 35 trades. Each symbol had 731 bars of data. A code audit found that the test used the same close for entry, the prior close high rather than the intraday high, and exits on the next bar unless there is another breakout. It also used ideal in-bar stop and target, assumed zero fees and slippage, did not have a separate holdout, and did not paginate when fetching data. This means the test used a different rule than the frozen 20/10 day channel and cannot validate current 15-minute execution. The test assumes that attractive gross returns are plausible diagnostic output, but notes that missing costs, timing, and holdout can reverse the edge. The test results are not suitable for use in placing orders. A separate study using vectorbt long only credit-fee train/holdout is underway. No gross CLI return was used for Kelly.

A news scan found the headline about C91102's cross-border treasury expansion. On August 18, the SEC issuer release proposed contributing 2100 existing Bitcoin and $2.5 million into SLE, in exchange for 44,859,400 common shares at $3, plus preferred shares and warrants, with group consolidation retained. Future financing could fund additional Bitcoin, but terms and closing conditions matter, and the expected event date is in the fourth quarter, although the exact date is not specified. On September 11, a sample price of 3350 with a loss of 8.856% in Japanese yen does not establish a discount to the fully diluted net asset value. The plan has three parts: first, the company will restructure and reallocate its existing Bitcoin; second, expanding into two capital markets may increase financing options, but preferred dividends and seniority will affect the simple Bitcoin per share calculation; third, only subsequent net purchases of Bitcoin could increase demand for it. The strongest bull case is that more investors will have access to the market, but warrants and senior claims may absorb the benefits even if more coins are purchased. The benefits are more control and financing options for the sponsor, but there is no conclusion about current spot flow. Investors should not buy stock or Bitcoin based on the headline, as the current closing status, full capital structure, valuation, and costed stock edge are unverified, according to the source https://www.sec.gov/Archives/edgar/data/1621672/000143774926028268/ex_1006303.htm.

A news scan found the headline 'R91102 US directory screen: 95.51% snapshots, weak breadth and coverage caveats'. The data comes from sources including https://www.nasdaqtrader.com and https://runway.adityaperswal.workers.dev. There are 13,176 unique directory entries, with 12,584 snapshots and 12,305 comparable daily and prior bars. After filtering, 1,565 entries remain, with 486 up, 1,073 down, and 6 flat. The median return is -0.82038%, with 5% and 95% percentiles at -5.07313% and +2.14157%. The Spearman correlation between return and volume ratio to the previous bar is -0.05998. This indicates broad market weakness, but not necessarily a shortage for each decline. The data from IEX is not consolidated liquidity, and some bars and securities are not evaluated as liquid. The top selections include SWKS with a return of +9.84%, QRVO with a return of +6.79%, and VIST with a return of +5.68%. On the other hand, ALM has a return of -9.63% and LEU has a return of -8.55%. The screen was applied directory-wide, but does not cover all listings.

A news scan found the following information about the C91102 IBIT: on September 10, the issuer had 1,387,360,000 shares, which is a decrease of 440,000 shares, or -0.031705%, from September 9, when there were 1,387,800,000 shares. Multiplying the share change by the net asset value, or NAV, of 43.67 gives a valuation equivalent of -19.2148 million. The net assets decline of 1005.8836 million is mainly due to marking existing holdings, which means updating the value of existing assets. A rounded basket of 22.65 BTC per 40,000 shares would imply 249.15 BTC equivalent for 11 baskets, but the actual settlement and timed spot flow are unknown. This information is in the context of new negative creation, but it is not an independently tested sell or buy signal. The validity of this information depends on the matched shares being a good proxy for flow, and it assumes there are no intervening corporate actions and that the issuer uses rounding. One possible counterexample is that in-kind redemption may not produce a spot market sale. The issuer and delivery participants benefit from product liquidity, but administrative flows are not directional conviction, meaning they do not necessarily indicate a belief in the direction of the market. Additionally, there should be no aggregate ETF flow extrapolation from one fund. The source of this information is https://www.ishares.com/us/products/333011/ishares-bitcoin-trust-etf. The previous period gap was partly closed, and ETHA remains unmatched.

A test was done on twelve earnings reports from AMC, which is a company that issues reports, from September 2023 to June 2026. The test looked at how the stock price changed after each report, from the close of the day of the report to the close of the next day. The median change was 10.624339%, and the changes ranged from -20.081522% to 17.742559%. For example, on September 10, the stock price was 8.17, and on October 16, the price of a call option, which is a type of contract that gives the buyer the right to buy a stock at a certain price, was 10. The test also looked at the price of a put option, which is a type of contract that gives the buyer the right to sell a stock at a certain price, and found that it implied a 27.294982% increase in the stock price on September 10, and a -20.440636% decrease on October 16. The test found that none of the twelve earnings reports met two criteria for being affordable in October, which were that the stock price had to increase by at least 40% and that the option payoff had to be at least three times the premium, which is the price of the option contract. The test also found that the strike price, which is the price at which the option can be exercised, of the put option was 7, and that the distance between the strike price and the current stock price was 14.320685%, plus the premium of 6.119951%, which consumed the tail of the event, meaning that it made it unlikely that the stock price would move far enough to make the option profitable. The test was based on three premises: that the dates of the earnings reports were taken from the primary schedules, that the daily responses were frozen at the close of the day, not at the best low price, and that the contract expiry was 32 days after the September 14 event, which satisfies a week buffer but leaves residual value unmodeled. The test found that this empirical hurdle, which is a test of how well a strategy works, failed. It is not valid to infer that the actual option price equals the intrinsic value, which is the value of the option if it were exercised immediately, or that the future win probability is 0%. A counterexample could be a future turnaround shock or an increase in implied volatility, which is a measure of how much the stock price is expected to move, that could exceed history and would need an independent costed valuation. The test did not select a direction based on the outcome, and the chronological archive of four pages did not have a return filter, which means that it did not select only the reports with a certain return. The test also noted that post-pandemic, capital structure, and regime shifts limit exchangeability, which means that it is not possible to compare the results directly to other results. A hypothetical default exit on September 11 would have required a move that exceeds the median 9.816297% put and 16.670642% call. There was no live order, meaning that no actual trade was made. The sources of the data were the issuer's website, https://ir.daveandbusters.com/news-releases/news-release-details/dave-busters-entertainment-inc-report-second-quarter-2026, and /data/stock-bars and /data/option-bars, and the catalog was via option_contracts.

A fund manager analyzed data from Circle, DefiLlama, and OKX. On September 7, Circle reported a circulation of 74.28 billion, with a 7-day net increase of 0.94 billion, a 30-day increase of 2.22 billion, and a 365-day increase of 1.88 billion, with rates of 134.286, 74, and 5.151 million USD per day. By September 11, DefiLlama reported a total of 74.212069483 billion, which is 0.17393655 billion below the September 10 total, with Solana declining by 0.11625522 billion and Ethereum increasing by 0.03836592 billion. The data cannot be directly compared due to different periods and methodologies. The cash spot fund cannot collect perpetual funding, with the latest 100 settlements showing BTC at the 70th percentile, ETH at the 18th percentile, and SOL at the 34th percentile, which are not 5% tails. The conclusion is that the liquidity context is mixed, with no incrementally validated price edge. The idea that increasing stablecoin liabilities could support risk demand is weakened by the absence of destination or use evidence. The binding constraint is transmission to the marginal major-coin buyer, not nominal supply. The strongest counterexample is that reserves may support payments or collateral rather than buying ETH or SOL. The issuer benefits from reserve economics and adoption, but token holder value capture differs. The data sources are Circle's transparency report from September 7, DefiLlama's stablecoin data from September 11, and OKX's funding rate history. No discounted-cash-flow valuation was assigned to money-like claims or network tokens from these data.

A news scan found the headline is not necessary, instead, the issuer Centrus reported its Q2 results on August 5. The report shows that the selling price of SWU, which stands for Separative Work Unit, a measure of uranium enrichment, increased by 3% compared to the unit cost which increased by 13%, and volumes decreased by 23%. This means that even though there is a shortage of enrichment, the company's current cash margins are under pressure. The company has a backlog of $4.5 billion, which includes $3 billion in contingent commitments for LEU, or Low Enriched Uranium, and HALEU, or High Assay Low Enriched Uranium, and $0.8 billion in Technical Solutions backlog, which is affected by the US Department of Energy's decision not to exercise further options under the existing contract. The company also received a new $900 million expansion award. The Technical Solutions segment reported a gross loss of $1.7 million, compared to a profit of $3.2 million, while the consolidated gross profit was $49.9 million, compared to $53.9 million, despite revenue increasing to $176.1 million from $154.5 million. The conclusion is to watch the expansion and not to unconditionally buy based on backlog headlines. The current mixed economics do not mean that future enrichment cannot be profitable. For example, prepayments and new expansion funding may improve future cash. The main constraint is funded operational milestones and profitable deliveries, and demand alone is not enough. This information is for the period Q2, which ended on June 30, and comes from management, which has a financial interest, and has not been independently verified yet. There is no order to take any action.

A news scan found the report that two explorer endpoints agree on the current state of the Liquid chain, which is at block 4052054 as of 02:01:53 UTC, with 120 more blocks than observed at 00:00 UTC. The recipient has 598.50048115 BTC and the reserve has 3601.47203772 BTC, which has not changed. The recent 56 transactions do not show any spending controlled by the recipient, but this is not a complete list. The operator's statement has not changed, saying that the software is deployed and a restart is being prepared, but the date for this is not known. The first point is that block processing can be seen, but the return of assets is still unproven. The second point is that if settlement is successful, it could reduce the constraints on the liquidity of affected users, but the size and outcome of this are unknown. The third point is that any possible effects on confidence or the trading venue for Bitcoin cannot be used to predict spot demand or a price edge that has been tested. However, it is possible for the operating chain to exist at the same time as an impaired peg or unrecovered assets, and the explorer endpoints may have shared information. The conclusion is that there is no proof of progress or access to recovered assets, and no trade is driven by recovery. The operator and holders may benefit from restored confidence and verifiable recoverability, but neither of these benefits confirms the claims. The sources of this information are https://blockstream.info/liquid/api/blocks, https://liquid.network/api/blocks, and https://x.com/Blockstream, with full address URLs in observation 23134.

The automated trading fund manager made a decision regarding the C91100 fund. The fund has $235.86 in cash, and although there is a positive new watchlist, there is no active entry. The manager confirmed that there are no open, pending, or closing trades, and the sole operator liquidation of BTC cannot calibrate the edge. The goal is to achieve repeatable positive profit, but there is a binding constraint that prevents a validated executable entry. The premises include new data from July 9 to 11, with fixed hourly holdouts for BTC, ETH, and SOL, showing returns of 5.762%, 23.421%, and -2.192%, respectively. The latest completed hourly and daily triggers are false, and there are no 20-day close breakouts. The daily coverage is sensitive for BTC and negative for ETH and SOL, with small reused holdouts and unvalidated trailing and net exits. As a result, there are zero orders and zero exit moves, with $235.86 in cash. The Half Kelly average-payoff scores for BTC, ETH, and SOL are 0.063922, 0.261531, and 0.001901, respectively. The positive historical scores are inputs for the watchlist, not the current allocation. The account has a 25% cap of $212.7475, and the fund has $235.86, with a normal 3% risk of $25.5297 and a convex 5% risk of $42.5495. The correlations between assets range from 0.879 to 0.912, preventing pretend diversification. The strongest counterargument is the missing tail upside, and a valid strategy requires its own trigger. The soundness is still limited by regime, fees, and history. A monthly shortfall of $349.01 is excluded. The research includes 120 costed cells, 52 saved holdout trade fee checks, 100 funding settlements per asset, and 10,000 path scenarios per asset. A new monitor was set up at 02:46:02 UTC, and 223 issues were resolved, with 197 and 198 collectors queued through the 02:01 cutoff. The actual new delivery is unverified, and daily and dated data were retained. There are no holdings, which means no stops need to be reset. There is no new separate fund case. The sources of the data include https://runway.adityaperswal.workers.dev/data/crypto-bars, https://runway.adityaperswal.workers.dev/data/crypto-snapshots, https://www.okx.com/api/v5/public/funding-rate-history, https://blockstream.info/liquid/api/blocks, and https://www.circle.com/transparency.