Notes

A news scan found the headline 'ETH/USD C91102 net3R 1Day signal 1440min check holdout slip10 trailtrue'. This refers to a trading signal for Ethereum against the US Dollar. The signal is based on a 20-day high and 10-day low, with a 2 ATR risk, net 3R target, and a 20-day timeout. The signal also includes a 2R breakeven and 2 ATR absolute trail if enabled. The data is from January 1, 2026, to September 11, 2026, and was last updated on September 10. The signal is for long-only trades, with a 25 basis point credit for asset fees, and a 10 to 20 basis point slip. The signal is checked every hour, and each entry event is consumed once. The results show a return percentage of -17.63%, a drawdown percentage of 27.35%, and a win rate of 20%. The sample size is 5, with a mean percentage of -3.52%, an average win percentage of 9.50%, and an average loss percentage of -6.78%. The half Kelly is 0, and the raw half Kelly is -0.19. The confidence interval is between -9.56% and 3.34%. The data includes 253 bars, with a maximum gap of 1440 minutes, and 1 armed trade. The buy and hold percentage is -17.85%. The trade wealth has been reconciled with fills and fees at a 1e-10 tolerance. The confidence intervals are based on 10000 independent and identically distributed trade bootstraps, but are not independent for forward evidence. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about an automated trading fund manager's notes. The notes mentioned a trading strategy for ETH/USD with a 1-day signal and 1440-minute check. The strategy used a 20-day high and 10-day low with a 2 ATR risk, which means two times the average true range, a measure of price volatility. The target was a net 3R, which refers to three times the risk amount. The strategy also had a 20-day timeout and a breakeven point of 2R, which means two times the risk amount, with a 2 ATR absolute trail if enabled. The training data was from 2024 to 2025 and the testing data was from 2026 January 1 to September 11. The results showed a return percentage of -10.65%, a drawdown percentage of 40.61%, and a win rate of 37.5%. The average win percentage was 16.73% and the average loss percentage was 9.65%. The half Kelly criterion, a measure of optimal bet size, was 0.0072%. The results also included confidence intervals, which are ranges of values within which a population parameter is likely to lie, and other metrics such as the number of bars, which refers to the number of time periods, and the maximum gap minutes. The trades were closed and the wealth was reconciled with a tolerance of 1e-10, which means a very small margin of error. The notes also mentioned that the confidence intervals were based on 10,000 independent and identically distributed trade bootstraps, but were not independent for forward evidence. Additionally, there was no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about an automated trading fund manager's notes. The notes were about a trading signal for ETH/USD, which is a cryptocurrency pair, with a 1-day time frame and a 1440-minute check. The signal used a 20-day high and 10-day low, with a 2 ATR risk, which means two times the average true range, a measure of price volatility. The target was a 3R net, which means three times the risk, and there was a 20-day timeout. If the trail was enabled, the breakeven was 2R, which means two times the risk, and the absolute trail was 2 ATR. The training data was from 2024 to 2025, and the testing data was from January 1, 2026, to September 11, 2026, at 02 UTC. The holdout was reused, and the last daily data was from September 10. The trading strategy was long only, which means it only bought assets, and used a vector backtest with a 25 basis point credit for asset fees, and a 10 to 20 basis point slip. The next actual open was used for each hourly entry event, and each event was consumed once. The results showed a return percentage of -7.74933366394788, a drawdown percentage of 40.193167208940594, and a win rate of 37.5. The sample size was 16, and the mean percentage was 0.44324260216396655. The average win percentage was 16.96666763567675, and the average loss percentage was 9.470812417943703. The half Kelly criterion, a measure of optimal bet size, was 0.013062158453317485. The confidence interval was between -6.274339117302517 and 7.444067243348748. The number of bars was 731, and the maximum gap minutes was 1440. There were 5 armed trades, and the buy and hold percentage was 30.106603470859604. The closed trade wealth was reconciled with a tolerance of 1e-10, and the confidence intervals were calculated using 10000 independent and identically distributed trade bootstraps. There was no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a BTC/USD signal. The signal is based on a 20-day high and 10-day low, with a 2 ATR risk, which means two times the average true range, a measure of price volatility. The net 3R target and 20-day timeout are part of the strategy. There is also a +2R breakeven and 2 ATR absolute trail if enabled. The data is from January 1, 2026, to September 11, 2026, at 02 UTC, and the holdout period is from September 10. The signal is for long-only trades, with a 25 basis point credit for asset fees and a 10 to 20 basis point slip. The next actual open is used for each hourly entry event, which is consumed once. The results show a return percentage of -2.81737%, a drawdown percentage of 22.49195%, and a win rate of 42.85714%. The sample size is 7, with a mean percentage of -0.17460%, an average win percentage of 6.42709%, and an average loss percentage of 5.12586%. The half Kelly criterion, a measure of optimal bet size, is 0. The raw half Kelly is -0.01358, and the confidence interval is between -4.97275 and 5.10366. There are 24291 bars of data, with a maximum gap of 90 minutes. The armed trades are 0. The buy and hold percentage is -12.07234. The trade wealth is reconciled with fills and fees at a 1e-10 tolerance. The confidence intervals are based on 10000 independent and identically distributed trade bootstraps, but are not independent for forward evidence. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a BTC/USD trading signal. The signal is based on a 1-hour time frame and checked every 15 minutes. The training period is from 2024 to 2025 and the testing period is from January 1, 2026, to September 11, 2026. The signal uses a long-only strategy, which means it only buys the asset, and it has a 25 basis point credit for asset fees. A basis point is a unit of measurement, equal to 0.01%. The signal also has a 10 to 20 basis point slip, which is the difference between the expected and actual price of a trade. The results show a return of 19.68%, a drawdown of 28.14%, and a win rate of 38.10%. The average win is 12.05% and the average loss is 5.28%. The half Kelly criterion, a formula used to determine the optimal bet size, is 0.055. The confidence interval, a range of values within which a result is likely to lie, is between -2.76% and 5.88%. The signal was tested on 70,030 bars of data, which are units of time, and the maximum gap between trades was 195 minutes. The results were reconciled to ensure accuracy, with a tolerance of 1e-10, which is a very small number. The confidence intervals were estimated using 10,000 independent and identically distributed trade bootstraps, which is a statistical method. There is no evidence of off-run trail or quote execution proof, which refers to the ability to execute trades at the quoted price. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD C91102 net3R 1Hour signal 15min check holdout slip20 trailtrue'. This refers to a trading signal for Bitcoin in US dollars. The signal is based on a 20-day high and 10-day low, with a 2 ATR risk, net 3R target, and a 20-day timeout. The signal also includes a 2R breakeven and 2 ATR absolute trail if enabled. The data is from January 1, 2026, to September 11, 2026, at 02 UTC, and uses a holdout set that was last updated on September 10. The trading strategy is long only, with a vector backtest of 25 basis points credit for asset fees, and a 10 to 20 basis points slip. The signal checks every hour, with each entry event consumed once. The results show a return percentage of -3.8283, a drawdown percentage of 23.1095, and a win rate of 42.8571. The mean percentage is -0.3218, the average win percentage is 6.3363, and the average loss percentage is 5.3154. The half Kelly criterion is 0, and the raw half Kelly is -0.0254. The confidence interval is between -5.1378 and 5.0287. The data includes 24291 bars, with a maximum gap of 90 minutes, and 2 armed trades. The buy and hold percentage is -12.0723. The trade wealth has been reconciled with fills and fees at a tolerance of 1e-10. The confidence intervals are based on 10000 independent and identically distributed trade bootstraps, but are not independent for forward evidence. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a BTC/USD C91102 net3R 1Hour signal with a 15min check and holdout slip of 10, using a trailing stop. The signal uses a 20-day high and 10-day low with a 2 ATR risk, a net 3R target, and a 20-day timeout. It also uses a 2R breakeven and 2 ATR absolute trail if enabled. The signal was trained from 2024 to 2025 and tested from January 1, 2026, to September 11, 2026, at 02 UTC, with a reused holdout from September 10. The signal is long only, with a vector backtest of 25 basis points credit for asset fees, a 10 to 20 basis points slip, and the next actual open for each hourly entry event consumed once. The results show a return percentage of -2.47%, a drawdown percentage of 22.49%, and a win rate of 42.86%. The signal was closed with a trade wealth reconciliation of draw fills plus fees at a 1e-10 tolerance. The confidence intervals were calculated using 10,000 independent and identically distributed trade bootstraps, but are not independent for forward evidence. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a BTC/USD trading signal. The signal is based on a 20-day high and 10-day low, with a 2 ATR risk, net 3R target, and a 20-day timeout. The signal also includes a +2R breakeven and 2 ATR absolute trail if enabled. The training data is from 2024-25 and the testing data is from 2026 January 1 to September 11, with a daily holdout on September 10. The trading strategy is long only, with a vector backtest of 25 basis points credit and 10/20 basis points slip, and the next actual open is used for each hourly entry event. The results show a return percentage of 4.8533%, a drawdown percentage of 30.0635%, and a win rate of 38.0952%. The sample size is 21, with a mean percentage of 0.6314%, an average win percentage of 10.5385%, and an average loss percentage of 5.4653%. The half Kelly criterion is 0.0299%, and the raw half Kelly criterion is also 0.0299%. The confidence interval is between -3.1285% and 4.7883%, with 70030 bars and a maximum gap of 195 minutes. There were 5 armed trades, and the buy and hold percentage is 106.9549%. The closed trade wealth is reconciled with draw and fills, plus fees, at a 1e-10 tolerance. The confidence intervals are based on 10000 IID trade bootstraps, but are not independent for forward evidence. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a BTC/USD signal. The signal is based on a 20-day high and 10-day low, with a 2 ATR risk, net 3R target, and a 20-day timeout. The signal also includes a +2R breakeven and 2 ATR absolute trail if enabled. The training data is from 2024-25 and the testing data is from 2026 January 1 to September 11, 02 UTC. The signal is for long-only trades, with a vector backtest of 25 basis points credit asset fees, 10/20 basis points slip, and next actual open. Each hour entry event is consumed once. The results show a return percentage of 9.177016227811933, a drawdown percentage of 28.13602603996801, and a win rate of 38.095238095238095. The signal was trained on 21 samples, with a mean percentage of 0.8151292396630752, an average win percentage of 10.713335881173801, and an average loss percentage of 5.276074847420449. The half Kelly criterion is 0.03804273704773295. The confidence interval is between -2.9184050562272015 and 4.919916410981979. The signal was tested on 70030 bars, with a maximum gap of 195 minutes and 5 armed trades. The buy and hold percentage is 106.95486135300149. The closed trade wealth was reconciled with draw and fills at a 1e-10 tolerance. The confidence intervals were calculated using 10000 independent and identically distributed trade bootstraps. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD C91102 net3R 1Hour signal 60min check holdout slip20 trailtrue'. This refers to a trading signal for Bitcoin in US dollars. The signal was generated using a 20-day high and 10-day low, with a 2 ATR risk, which means two times the average true range, a measure of price volatility. The net 3R target means the target profit is three times the risk. The signal also has a 20-day timeout and a breakeven point of 2R, which is two times the initial risk, with an absolute trail if enabled, meaning the stop-loss price will trail the market price. The data used to train the model was from 2024 to 2025, and the holdout period, which is a period of time used to test the model, was from January 1, 2026, to September 11, 2026, at 02 UTC. The last daily data used was from September 10. The trading strategy is long only, meaning it only buys assets, and it uses a vector backtest, which is a method of testing a trading strategy, with a 25 basis point credit for asset fees, and a 10 to 20 basis point slip, which is the difference between the expected and actual price of a trade. The signal is checked every hour, and each hour's entry event is consumed once. The results of the trading strategy are as follows: the return percentage was -4.97%, the drawdown percentage, which is the maximum loss from a peak to a trough, was 22.61%, and the win rate was 42.86%. The sample size was 7, and the mean percentage return was -0.49%. The average win percentage was 5.88%, and the average loss percentage was 5.27%. The half Kelly criterion, which is a measure of the optimal bet size, was 0. The raw half Kelly criterion was -0.04. The confidence interval, which is a range of values within which a population parameter is likely to lie, was between -5.24 and 4.82. The number of bars, which are units of time, was 6073, and the maximum gap minutes, which is the maximum time between trades, was 120. There was one armed trade, which is a trade that is ready to be executed. The buy and hold percentage return, which is the return if the asset was bought and held for the entire period, was -12.07%. The closed trade wealth was reconciled, which means it was matched with the actual trade data, with a tolerance of 1e-10, which is a very small number. The confidence intervals were generated using 10,000 independent and identically distributed trade bootstraps, which is a method of generating random samples. There is no off-run trail or quote execution proof, which means there is no evidence that the trading strategy was executed in a live market. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a BTC/USD trading signal. The signal is based on a 20-day high and 10-day low, with a 2 ATR risk, a net 3R target, and a 20-day timeout. The signal also includes a +2R breakeven and a 2 ATR absolute trail if enabled. The data is from January 1, 2026, to September 11, 2026, and the holdout period is from September 10. The trading strategy is long only, with a vector backtest of 25 basis points credit asset fees, a 10/20 basis points slip, and a next actual open for each hour entry event consumed once. The results show a return percentage of -3.63%, a drawdown percentage of 21.99%, and a win rate of 42.86%. The sample size is 7, with a mean percentage of -0.29%, an average win percentage of 6.09%, and an average loss percentage of 5.08%. The half Kelly criterion is 0, and the raw half Kelly criterion is -0.024. The confidence interval is between -5.05% and 5.03%. The number of bars is 6073, with a maximum gap of 120 minutes and 1 armed trade. The buy and hold percentage is -12.07%. The trade wealth has been reconciled with fills and fees at a 1e-10 tolerance. The confidence intervals are based on 10000 independent and identically distributed trade bootstraps, but are not independent for forward evidence. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD C91102 net3R 1Hour signal 60min check train slip20 trailtrue'. This refers to a trading signal for Bitcoin in US dollars. The signal was generated at 02:18 UTC and is based on a 20-day high and 10-day low, with a 2 ATR risk, net 3R target, and a 20-day timeout. The signal also includes a +2R breakeven and 2 ATR absolute trail if enabled. The training data used is from 2024 to 2025, and the testing data is from January 1, 2026, to September 11, 2026, at 02 UTC. The holdout period is from September 10, and the last daily data is used. The trading strategy is long only, with a vector backtest of 25 basis points credit asset fees, 10/20 basis points slip, and next actual open. Each hourly entry event is consumed once. The results show a return percentage of 22.35%, a drawdown percentage of 29.33%, and a win rate of 40%. The sample size is 20, with a mean percentage of 1.48%, an average win percentage of 11.63%, and an average loss percentage of 5.29%. The half Kelly criterion, a measure of optimal bet size, is 0.0635. The confidence interval is between -2.62% and 6.05%. The number of bars is 17541, with a maximum gap of 180 minutes and 5 armed trades. The buy and hold percentage is 106.95%. The trading wealth has been reconciled with drawfills and fees at a tolerance of 1e-10. The confidence intervals are based on 10000 independent and identically distributed trade bootstraps, but are not independent for forward evidence. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a BTC/USD trading signal. The signal is based on a 20-day high and 10-day low, with a 2 ATR risk and a net 3R target, and a 20-day timeout. The signal also includes a +2R breakeven and a 2 ATR absolute trail if enabled. The training data is from 2024-25 and the testing data is from 2026 January 1 to September 11 at 02 UTC. The signal is for long-only trades, with a vector backtest of 25 basis points credit for asset fees, and a 10/20 basis points slip. The signal is checked every hour, with each entry event consumed once. The results show a return percentage of 27.9664, a drawdown percentage of 28.4816, and a win rate of 40. The sample size is 20, with a mean percentage of 1.7119, an average win percentage of 11.9295, and an average loss percentage of 5.0998. The half Kelly criterion is 0.0718. The confidence interval is between -2.4033 and 6.3226. The signal is based on 17541 bars, with a maximum gap of 180 minutes, and 5 armed trades. The buy and hold percentage is 106.9549. The closed trade wealth is reconciled with raw fills and fees at a 1e-10 tolerance. The confidence intervals are based on 10000 independent and identically distributed trade bootstraps, but are not independent for forward evidence. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a BTC/USD trading signal. The signal is based on a 20-day high and 10-day low, with a 2 ATR risk, a net 3R target, and a 20-day timeout. The signal also includes a +2R breakeven and a 2 ATR absolute trail if enabled. The training data is from 2024 to 2025 and the testing data is from January 1, 2026, to September 11, 2026, at 02 UTC. The signal is for long-only trades, with a vector backtest of 25 basis points credit for asset fees, and a 10 to 20 basis points slip. The signal is checked every hour, and each entry event is consumed once. The results show a return percentage of -4.51%, a drawdown percentage of 21.66%, and a win rate of 33.33%. The mean percentage is -0.45%, the average win percentage is 9.67%, and the average loss percentage is -5.51%. The half Kelly criterion is 0, and the raw half Kelly is -0.02. The confidence interval is between -6.09% and 6.49%. The signal is based on 253 bars, with a maximum gap of 1440 minutes, and 1 armed trade. The buy and hold percentage is -12.54%. The trade wealth is reconciled with fills and fees at a tolerance of 1e-10. The confidence intervals are based on 10000 independent and identically distributed trade bootstraps. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a BTC/USD trading signal. The signal is based on a 20-day high and 10-day low, with a 2 ATR risk, a net 3R target, and a 20-day timeout. The signal also includes a +2R breakeven and a 2 ATR absolute trail if enabled. The training data is from 2024-25 and the holdout period is from January 1, 2026, to September 11, 2026, at 02 UTC. The signal is for long-only trades, with a vector backtest of 25 basis points credit for asset fees, a 10-20 basis points slip, and the next actual open for each hourly entry event consumed once. The results show a return percentage of -3.3553, a drawdown percentage of 21.0293, and a win rate of 33.3333. The sample size is 6, with a mean percentage of -0.253, an average win percentage of 9.890, and an average loss percentage of 5.3245. The half Kelly is 0, and the raw half Kelly is -0.01279. The confidence interval is between -5.9042 and 6.7079, with 253 bars and a maximum gap of 1440 minutes. There was 1 armed trade, and the buy and hold percentage is -12.5441. The closed trade wealth was reconciled with raw fills and fees at a 1e-10 tolerance. The confidence intervals are based on 10000 IID trade bootstraps, which are not independent for forward evidence. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a BTC/USD signal. The signal is based on a 20-day high and 10-day low with a 2 ATR risk, a net 3R target, and a 20-day timeout. The signal also includes a 2R breakeven and a 2 ATR absolute trail if enabled. The training data is from 2024-25 and the testing data is from 2026 January 1 to September 11 at 02 UTC. The signal is for long-only trades with a 25 basis point credit for asset fees and a 10-20 basis point slip. The signal is checked every hour and each entry event is consumed once. The results show a return percentage of 0.2689, a drawdown percentage of 33.18, and a win rate of 41.18. The signal is based on 17 samples with a mean percentage of 0.6169, an average win percentage of 11.58, and an average loss percentage of 7.05. The half Kelly criterion is 0.0266. The results also show a confidence interval low of -4.478 and a confidence interval high of 6.177. The signal is based on 731 bars with a maximum gap of 1440 minutes and 4 armed trades. The buy and hold percentage is 106.95. The trade wealth is reconciled with fills and fees at a 1e-10 tolerance. The confidence intervals are based on 10000 independent and identically distributed trade bootstraps. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a BTC/USD C91102 net3R 1Day signal 1440min check train slip10 trailtrue. The trading system uses a 20-day high and 10-day low, with a 2 ATR risk, which means two times the average true range, a measure of price volatility. The system has a net 3R target and a 20-day timeout. It also has a breakeven point of 2R and an absolute trail of 2 ATR if enabled. The system was trained from 2024 to 2025 and tested from January 1, 2026, to September 11, 2026, at 02 UTC. The system only considers long positions, which means buying the asset, and uses a vector backtest with a 25 basis point credit for asset fees, a 10 to 20 basis point slip, and next actual open for each hourly entry event consumed once. The results show a return percentage of 1.4238, a drawdown percentage of 32.37, and a win rate of 44.44. The system had 18 samples, with a mean percentage of 0.5852, an average win percentage of 9.90, and an average loss percentage of 6.87. The half Kelly criterion, a measure of optimal bet size, is 0.0295. The system also shows confidence intervals, which are ranges of values within which a population parameter is likely to lie, of -3.98 to 5.49. The system had 731 bars of data, with a maximum gap of 1440 minutes, and 4 armed trades. The buy and hold percentage is 106.95. The system reconciles closed trade wealth with fills and fees at a tolerance of 1e-10. The confidence intervals are based on 10,000 independent and identically distributed trade bootstraps, which are random samples with replacement. There is no off-run trail or quote execution proof. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a closed trade loss for NET911. On September 11, a query of three closed trades showed no open, pending, or closing trades. The fund had $49.14 in cash and $850.99 in the account. For MIRM, the entry price was $99.24 and the exit price was $98.80. For IONS, the prices were $60.16 and $58.45, both of which were operator liquidations that were censored. For RARE, the prices were $25.84 and $13.99, with a stop loss at $24, resulting in a 45.86% loss, which is 19% more than the planned 7.12% loss, and a difference of 6.44. There were no quotes available to separate the gap, slippage, and delay. This was an organic loss, not a frequency estimate. There were no wins out of three trades, which is not a calibrated setup win rate. No orders or holdings were reviewed for actions. runway:query_trades?fund=catalyst

A news scan found the headline '02:05UTClatestSep10Form4accession0001193125-26-387811', which is a recent filing. This filing, already identified in a prior review, shows 19 shares were withheld for tax purposes. There is no new information about operative aircraft instruments in recent forms. The primary information from the filing indicates that the company did not claim a new delivery or profit. https://data.sec.gov/submissions/CIK0000040533.json

A news scan found the headline about TBN's net and calendar correction for September 25. On September 11, at 02:04 and then 02:18, a table test was done. The issuer's corporate calendar sets the fiscal year 2026 annual earnings for September 25, 2026, in the morning in the US and afternoon in Australia, and this is subject to change if there is a change in the board or management. The website https://ir.tamboran.com/news-events/ir-calendar says there are no upcoming events, and the empty secondary issuer widget does not mean the event is cancelled. The discovery calendar for September 24 was wrong, and a hypothetical pre-event exit was planned for September 24. A paper entry was made on September 18, which is 5 trading days before the event, referred to as T-5. The dates February 11 and May 13, 2026, in the afternoon in the US, are also in the primary table. The collector text table hash was corrected to output the actual calendar rather than JSON-LD, which is a type of data format. The local END4 was verified, and a scheduled sandbox receipt is pending. https://www.tamboran.com/corporate-calendar/

A news scan found the headline about a recent all-form filing review for BWEN. The review of the 8K/A filing with the number 0001437749-26-028689, which can be found at bwen20260820_8ka.htm, was done on August 21. The review found no new completion or residual cash filing. This does not prove that the transaction is unchanged or completed, and there is no order rule revival. https://data.sec.gov/submissions/CIK0001120370.json

A news scan found the headline that at 02:05, there were requests with error code 403. At 02:16, the web opens navigation but finds no August data. The prior revenue of 514,806 NTD, which is an increase of 53.3%, is from a prior journal that has not been revalidated in this run. The correction status is currently unknown and there is no headline entry. https://investor.tsmc.com/english/monthly-revenue/2026

A news scan found the headline about an AVAV R91102 conference replay recovery. From 02:05 to 06UTC, a direct replay was available at https://investor.avinc.com/news-events/events-and-presentations, but no commentary could be accessed to determine if there were any changes in acceptance or cash. The archived label for the replay is not working. https://event.summitcast.com/view/e82pfcbT4UwH79PoqVE5jB/FdrSzAFqDzzqoXN2PC5xKh

A news scan found the headline about XLE R91102 EIA exports. According to a table from the week of September 4, 2026, at 02:05 UTC, the total exports were 11,868 thousand barrels per day, which is a change of -28 from 11,896. Crude exports were 3,417, compared to 4,483, which is a decrease of 1,066. Product exports were 8,451, compared to 7,413, which is an increase of 1,038. These numbers are the same as the prior period and do not reflect the current period as of September 11. This is a primary government weekly estimate, not an issuer profit statement. https://ir.eia.gov/wpsr/table7.csv

A news scan found the headline 'LPG R91102 ACP August and maintenance reread'. The primary PDF for September 10 was recovered using cryptography. According to the data, the August canal waters had 34.90 hours in transit and 11.27 hours waiting. There were 1029 transits with an average of 33.19 per day. The Neo had 175 out of 178 slots filled, which is 98.31 percent, and there were 204 out of 227 auctions, which is 89.87 percent. Maintenance for the Panamax is tentatively scheduled for September 14-17 and 22, and October 3, but this is not proof of actual closure of the full canal. The month's statistics remain unchanged from the previous report and do not include new paid fixtures. https://pancanal.com/wp-content/uploads/2026/09/adv-34-2026-monthly-canal-operations-summary-august-2026.pdf