Notes

A news scan found the following data line: the return percentage is 71.58242544660118, the drawdown percentage is 14.758470803522162, the win rate is 70, the sample size is 10, the mean percentage is 6.0138454487611686, the average win percentage is 11.661029679010808, the average loss percentage is -7.162917755154659, the half Kelly criterion, a measure of bet size, is 0.25786082422831613, the partial value is 6, the number of missing checks is 11, and the number of trades missing is 3, with an endpoint of 0. This data is from a training period of 2020 to 2024 and a known holdout period of 2025 to September 11. The prices used were split-normalized, without cash dividend credits, and the entry signal was adjusted, with split-only execution. The data used 15-minute opens, filtered by a regular trading hours calendar, and a managed variant that assumes a quarter of the benefit each sample, although the actual manager trades less frequently, so this is not a live replication. The drawdown is a daily mark approximation, not an intraday one. The Vectorbt long-only compounded return assertion passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the following data line: {"return_pct":-10.906390051642312,"drawdown_pct":64.86861057258156,"win_rate":41.37931034482759,"sample":29,"mean_pct":0.4662762728441721,"avg_win_pct":14.577298233356464,"avg_loss_pct":-9.494445111046858,"halfKelly":0.015993233635613474,"partial":11,"missing_checks":107,"trades_missing":14,"endpoint":0}; this is a raw-price fixed-path result from a trading simulation, specifically the m15_True_L20_train_0.0016 model, trained on data from 2020 to 2024 and tested on data from 2025 up to September 11. The simulation used split-normalized prices, without accounting for cash dividend credits, and adjusted the entry signal for split-only execution. It considered 15-minute opening prices, filtered by the regular trading hours calendar, and assumed a managed variant with a quarterly return of two times the benchmark return for each sample, although the actual manager traded less frequently, so this is not a live replication. The drawdown was approximated on a daily basis, not intraday. The Vectorbt long-only compounded return assertion was passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the following data line: {"return_pct":-5.586159583417416,"drawdown_pct":64.30198682586128,"win_rate":41.37931034482759,"sample":29,"mean_pct":0.6674101100774836,"avg_win_pct":14.80668238601396,"avg_loss_pct":-9.3132526729365,"halfKelly":0.022537462906204536,"partial":11,"missing_checks":107,"trades_missing":14,"endpoint":0}; this is a raw output from a trading fund manager, which includes return percentage, drawdown percentage, win rate, and other metrics. The data is from train2020-24 and knownholdout2025-Sep11. The manager used split-normalized prices, no cash dividend credit, and adjusted entry signal with split-only execution. The manager also used a 15-minute calendar filter and assumed a quarterly return. The drawdown is approximate and based on daily data, not intraday data. The Vectorbt long-only compounded return assertion passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

The fund had a return of 65.23% and a drawdown of 20.75%. The win rate was 60% based on a sample of 15 trades. The average win was 11.65% and the average loss was -7.59%. A calculation called the half Kelly criterion was 0.17. There were 5 partial trades and 12 missing checks, with 3 trades missing. The endpoint was 1. The fund was trained on data from 2020 to 2024 and tested on data from 2025 to September 11. The prices used were normalized and did not include cash dividend credits. The entry signal was adjusted and execution was based on stock splits only. The fund used 15-minute opening prices, filtered by a trading hours calendar. The results assume a managed variant with a quarterly return of 2 times the benchmark, but the actual manager traded less frequently, so the results are not a live replication. The drawdown was estimated based on daily prices, not intraday prices. A test using a method called vectorbt long only compounded return assertion was passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the following data line: {"return_pct":70.26568169361845,"drawdown_pct":20.43281391629357,"win_rate":60,"sample":15,"mean_pct":4.158112042931031,"avg_win_pct":11.869254522797396,"avg_loss_pct":-7.408601676868519,"halfKelly":0.17516315093523788,"partial":5,"missing_checks":12,"trades_missing":3,"endpoint":1}; this is a raw output from a trading system test. The test was run on data from 2020 to 2024, and the results are being checked against known data from 2025 up to September 11. The prices used were adjusted to account for stock splits, but did not include any cash dividend payments. The system's entry signals were also adjusted, and trades were only executed when a stock split occurred. The test used 15-minute opening prices, but only during regular trading hours, and assumed that the manager would increase the investment amount by two times the average return every quarter. However, the actual manager does not make changes this frequently, so the results are not a live replication. The drawdown, or largest loss, was estimated using daily prices, not prices from within the day. The test also checked that the returns were correctly calculated, and this check passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the headline with the following data: return percentage is 32.35269580623552, drawdown percentage is 67.41213908736012, win rate is 46.875, sample size is 32, mean percentage is 1.9099570532120833, average win percentage is 15.239549002274428, average loss percentage is -9.851447607725278, half Kelly is 0.06266448741124267, partial is 11, missing checks is 196, trades missing is 14, endpoint is 0. This data is from a train period of 2020 to 2024 and a known holdout period of 2025 to September 11. The prices were split and normalized, with no cash dividend credit. The entry signal was adjusted and execution was split-only. The data uses 15-minute opens, filtered by a regular trading hours calendar. A managed variant assumes a quarterly return of 2 times the benchmark return for each sample, but the actual manager trades less frequently, so this is not a live replication. The drawdown is approximate and based on daily data, not intraday data. A Vectorbt long-only compounded return assertion was passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the following data line: return percentage is 41.1002127375832, drawdown percentage is 66.82024589200381, win rate is 46.875, sample size is 32, mean percentage is 2.113981144427799, average win percentage is 15.470258983292476, average loss percentage is -9.670969889864567, half Kelly is 0.0683240386185793, partial is 11, missing checks is 196, trades missing is 14, endpoint is 0. This data is from a train period of 2020 to 2024 and a known holdout period of 2025 to September 11. The prices used were split normalized, without cash dividend credit, and had an adjusted entry signal with split-only execution. The data used 15-minute opens, filtered by a regular trading hours calendar. A managed variant assumed a plus 2R quarter per sample, but the actual manager traded less frequently, so this is not a live replication. The drawdown is a daily mark approximation, not an intraday one. A vector backtest long only compounded return assertion passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the following data line: the return percentage is 57.201586876475695, the drawdown percentage is 15.42569022653214, the win rate is 60, the sample size is 10, the mean percentage is 5.1885924636438245, the average win percentage is 13.32804728286742, and the average loss percentage is -7.020589765191571. The half Kelly, a measure of optimal bet size, is 0.19464938687280603. This data is from a training period of 2020 to 2024 and a known holdout period of 2025 to September 11. The prices used were split normalized, meaning they were adjusted for stock splits, and did not include cash dividend credits. The entry signal was also adjusted and execution was split-only. The data used 15-minute opens, filtered by regular trading hours, and assumed a managed variant with a quarterly return of 2 times the benchmark return for each sample, although the actual manager traded less frequently, so this is not a live replication. The drawdown was calculated daily, not intraday. A Vectorbt long only compounded return assertion, a type of backtesting method, was passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

The return percentage is 60.37727306055889, the drawdown percentage is 14.758470803522139, the win rate is 60, the sample size is 10, the mean percentage is 5.3991803944428725, the average win percentage is 13.55493043074341, and the average loss percentage is -6.834444660007932. The half Kelly criterion, a measure of bet size, is 0.19915928089889717. There are 11 missing checks and 3 trades are missing. The endpoint is 0. The data is from 2020 to 2024 for training and from 2025 to September 11 for the known holdout period. The prices are split-normalized and do not include cash dividend credits. The entry signal is adjusted and execution is split-only. The data is filtered by regular trading hours and 15-minute opens. The managed variant assumes a quarterly return of 2 times the benchmark return for each sample, but the actual manager trades less frequently, so this is not a live replication. The drawdown is approximated daily, not intraday. The Vectorbt long-only compounded return assertion has passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the following data line: {"return_pct":-12.759306856913977,"drawdown_pct":70.5825896976696,"win_rate":31.03448275862069,"sample":29,"mean_pct":0.6548787376451026,"avg_win_pct":22.088031175133214,"avg_loss_pct":-8.990039859224549,"halfKelly":0.014824289508934746,"partial":0,"missing_checks":108,"trades_missing":14,"endpoint":0}; this is a raw output from a trading system test, which includes return percentage, drawdown percentage, win rate, and other metrics, for the period from 2020 to 2024, with a known holdout period from 2025 to September 11. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the following data: the return percentage is -7.549723431144761, the drawdown percentage is 70.10812502331474, and the win rate is 31.03448275862069. This is based on a sample of 29, with a mean percentage of 0.8563901576739998. The average win percentage is 22.33245184146533 and the average loss percentage is -8.807837600032096. The half Kelly criterion, a betting strategy, is 0.019173670758441202. There are 108 missing checks and 14 trades are missing. The endpoint is 0. This data is from a train period of 2020 to 2024 and a known holdout period of 2025 to September 11. The prices are split normalized, without cash dividend credit, and the entry signal is adjusted. The execution is split only and the trades are filtered by a regular trading hours calendar, with 15 minute opens. The manager variant assumes a quarterly return of 2 times the benchmark, but the actual manager trades less frequently, so this is not a live replication. The drawdown is approximate and based on daily marks, not intraday. The vector backtest long only compounded return assertion has passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the following data line: return percentage is 55.62507696402639, drawdown percentage is 19.038335846390765, win rate is 54.54545454545454, sample size is 11, mean percentage is 4.687073072096452, average win percentage is 14.100899066515806, average loss percentage is -6.609518121206774, half Kelly is 0.1661976676092392, partial is 0, missing checks is 0, trades missing is 0, endpoint is 0. This data is from a train period of 2020 to 2024 and a known holdout period of 2025 to September 11. The prices used were split normalized, without cash dividend credit, and had an adjusted entry signal with split-only execution. The data used 15-minute opens, filtered by a regular trading hours calendar, and assumed a managed variant with a plus 2R quarter per sample, but the actual manager traded less frequently, so this is not a live replication. The drawdown is a daily mark approximation, not an intraday one. A vector backtest long only compounded return assertion was passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the headline 'TEN R91304 raw-price fixed-path daily_False_L20_holdout_0.0006'. The body of the message is a raw data output showing the performance of a trading strategy, including a return percentage of 59.08677142578305, a drawdown percentage of 18.71384027976719, and a win rate of 54.54545454545454. This data is based on 11 samples, with a mean percentage of 4.8966569593157905, an average win percentage of 14.32932946637151, and an average loss percentage of -6.422550049151073. The data also includes a 'half Kelly' value of 0.1708613431915083, which refers to a betting strategy, and other technical metrics. The trading strategy was trained on data from 2020 to 2024 and tested on known holdout data from 2025 to September 11. The strategy uses split-normalized prices, without cash dividend credits, and an adjusted entry signal with split-only execution. The strategy is based on 15-minute opens, filtered by a regular trading hours calendar, and assumes a managed variant with a quarterly return of 2 times the benchmark return, although the actual manager trades less frequently. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the following data line: the return percentage is -13.167339159792713, the drawdown percentage is 69.27441553628378, the win rate is 30.303030303030305, the sample size is 33, the mean percentage is 0.5647444482408144, the average win percentage is 21.291161961642135, and the average loss percentage is -8.446741427151064. The data also includes a half Kelly value of 0.013262414922639049. This data is from a training period of 2020 to 2024 and a known holdout period of 2025 to September 11. The prices were split-normalized and did not include cash dividend credits. The entry signal was adjusted and the execution was split-only. The data was filtered using a regular trading hours calendar and 15-minute opens. A managed variant assumed a plus 2R quarter per sample, but the actual manager traded less frequently, so this is not a live replication. The drawdown is a daily mark approximation, not an intraday one. A vector backtest long only compounded return assertion was passed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

A news scan found the following data line: the return percentage is -7.2430251357442526, the drawdown percentage is 68.77885170938278, the win rate is 30.303030303030305, the sample size is 33, the mean percentage is 0.7660754191064002, the average win percentage is 21.533987293015812, and the average loss percentage is -8.263451482593345. The half Kelly, a betting strategy, is 0.017787588723869624. This data is from a train period of 2020 to 2024 and a known holdout period of 2025 to September 11. The prices were split and normalized, with no cash dividend credit, and the entry signal was adjusted. The execution was based on split-only data. The data used 15-minute opens, filtered by a regular trading hours calendar. The manager variant assumes a quarterly return of two times the benchmark, but the actual manager trades less frequently, so this is not a live replication. The drawdown is approximate and based on daily data, not intraday data. The vector backtest, a type of simulation, for long-only compounded returns was successful. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TEN&feed=sip

The issuer of CRCL C91304 released its primary report for August 5, which covered the quarter ending June 30. The report showed that the circulation of USDC was 73.3 billion, a 19% increase from the same time last year. The volume was 14.8 trillion, which is a 151% increase. The revenue from reserves and other sources was 701 million, a 7% increase. This includes 668 million from reserve income, a 5% increase, and 34 million from other revenue, a 41% increase. The costs for distribution, transactions, and other things were 412 million, a 1% increase. The average circulation increased by 25%, and the return on reserves decreased by 66 basis points, which is a measure of the return on investment. The adjusted EBITDA, a measure of profitability, was 143 million, an 8% increase, and the net income was 48 million. The figures of 668 million and 34 million were used in the analysis, but were not corrected to match the total of 701 million. The report also mentioned that September 16 is a scheduled date, but it is not guaranteed. The analysis used the figures from August 5 and did not assume any capture of equity or coin cash. https://www.circle.com/pressroom/circle-reports-second-quarter-2026-results

A hypothetical joint risk coverage for SFIX, with a grid named Centgrid, has a range of 0.01 to 0.42. The full premium is less than or equal to 0.255297, and it includes an American intrinsic floor, which is a type of option valuation method. The costed coverage is greater than or equal to 4/10, and 100 times the price plus 0.05 is less than or equal to the empirical half Kelly times 850.99. This is all hypothetical and not meant to be executable or fair value estimates. The target hits use intrinsic value greater than or equal to 4 times the price only, and the quarter probe constraint is not enforced in this grid. No order is placed. https://runway.adityaperswal.workers.dev/data/stock-bars ; research/study.py

A hypothetical joint risk coverage grid for SFIX, with a standard deviation of 2.8, was created. The grid has the following parameters: a centric grid range of 0.01 to 0.42, a full premium less than or equal to 0.255297, an American intrinsic floor, and a costed coverage greater than or equal to 4/10. The condition 100 times the price plus 0.05 is less than or equal to the empirical half Kelly times 850.99 must be met. This is all hypothetical and does not represent executable or fair value estimates. The target hits use an intrinsic value greater than or equal to 4 times the price only, and the quarter probe constraint is not enforced in this grid. No order was placed. https://runway.adityaperswal.workers.dev/data/stock-bars ; research/study.py

A news scan found the following data line: a hypothetical joint risk coverage Kelly grid for SFIX with a value of 2.75, with the following details: a list of results including a probability of 0.25, 4 hits, a target of 2 hits, Kelly dollars of 68.381381, and a mean R of 0.341312. The Centgrid has a range of 0.01 to 0.42, a full premium of 0.255297 or less, an American intrinsic floor, and a costed coverage of at least 4/10. The condition 100 times the probability plus 0.05 is less than or equal to the empirical half Kelly times 850.99. This is all hypothetical and not meant to be executable or fair value estimates. The target hits use an intrinsic value of at least 4 times the probability only, and the quarter probe constraint is not enforced in this grid. There is no order. https://runway.adityaperswal.workers.dev/data/stock-bars ; research/study.py

A news scan found a list of hypothetical joint risk coverage data for SFIX, including a Kelly grid with S=2.7. The data is as follows: a list of results with different probabilities, including the number of hits, target hits, Kelly dollars, and mean R. The list includes the following data points: a probability of 0.2 with 4 hits, 2 target hits, 78.674239 Kelly dollars, and a mean R of 0.471218, a probability of 0.21 with 4 hits, 2 target hits, 72.247943 Kelly dollars, and a mean R of 0.414633, a probability of 0.22 with 4 hits, 2 target hits, 65.785156 Kelly dollars, and a mean R of 0.362239, a probability of 0.23 with 4 hits, 2 target hits, 59.282173 Kelly dollars, and a mean R of 0.313588, a probability of 0.24 with 4 hits, 2 target hits, 52.735615 Kelly dollars, and a mean R of 0.268292, and a probability of 0.25 with 4 hits, 1 target hit, 46.142366 Kelly dollars, and a mean R of 0.226015. The Centgrid range is from 0.01 to 0.42, with a full premium less than or equal to 0.255297, and an American intrinsic floor, with a costed coverage greater than or equal to 4/10, and 100 times the probability plus 0.05 less than or equal to the empirical half Kelly times 850.99. This data is hypothetical and not executable or fair value estimates. The target hits use intrinsic greater than or equal to 4p only, and the quarter probe constraint is not enforced in this grid. There is no order. https://runway.adityaperswal.workers.dev/data/stock-bars ; research/study.py

A news scan found the following data: a list of hypothetical risk coverage scenarios for SFIX, with a grid of values including probability, hits, target hits, Kelly dollars, and mean R. The list includes 12 scenarios with probabilities ranging from 0.1 to 0.2. The grid has a centrange of 0.01 to 0.42, with a full premium less than or equal to 0.255297, and an American intrinsic floor. The costed coverage is greater than or equal to 4/10, and 100 times the probability plus 0.05 is less than or equal to the empirical half Kelly times 850.99. The target hits use intrinsic greater than or equal to 4p only, and the quarter probe constraint is not enforced in this grid. There is no order. The data is hypothetical and not executable or fair value estimates. https://runway.adityaperswal.workers.dev/data/stock-bars ; research/study.py

A news scan found the following data: a list of hypothetical risk coverage scenarios for SFIX, with a grid of values from 0.01 to 0.42. The list includes the probability of an event, the number of hits, the target hits, the Kelly dollars, and the mean R. The Kelly dollars are calculated based on a formula, which is a method to determine the optimal amount to invest, and the mean R is the average return. The grid has the following constraints: the full premium is less than or equal to 0.255297, the American intrinsic floor is used, the costed coverage is greater than or equal to 4/10, and 100 times the probability plus 0.05 is less than or equal to the empirical half Kelly times 850.99. The target hits are calculated using the intrinsic value greater than or equal to 4 times the probability only, and the quarter probe constraint is not enforced in this grid. There is no order, and all scenarios are hypothetical and not executable or fair value estimates. https://runway.adityaperswal.workers.dev/data/stock-bars ; research/study.py

A news scan found the headline 'USDC/USD C91304 same Sep10 issuer/aggregator discrepancy'. This refers to a difference in the USDC, a type of digital currency, and its value in US dollars. On September 10, the issuer, Circle, reported a value of 74.06 billion, while an aggregator, which is a system that collects data from multiple sources, reported a value of 74545695863. This means there is a gap of 0.655814 percent between the two values. The difference cannot be explained by the fact that the values were reported on different dates alone, and other factors such as the time of day the values were reported, the scope of the data, and the definitions used are still unclear. https://www.circle.com/transparency ; https://stablecoins.llama.fi/stablecoin/2

A news scan found the headline about HYPE/USD C91304 Hyperliquid L1 USDC circulation and seven-day change. The latest data as of September 13 shows that there are 6,802,385,708.14 USD-pegged token units circulating, 6,376,511,199.41 USD-pegged token units minted, and 425,874,508.73 USD-pegged token units bridged to other platforms. The net seven-day change is -65,617,778.86 USD-pegged token units. https://stablecoins.llama.fi/stablecoin/2

A snapshot from September 13 shows the circulation and change in Solana USDC, which is a type of stablecoin, a digital currency designed to be stable, pegged to the US dollar. The latest data is from a date that corresponds to September 13. The circulating supply of USDC on Solana is 7,308,024,264.47 pegged US dollars. The total amount of USDC minted is 8,257,108,390.38 pegged US dollars. There is 948,334,952.44 pegged US dollars that have not been released. Some USDC has been bridged, or transferred, to other blockchain networks, including Allbridge and Wormhole, which are types of cross-chain bridges. The amounts bridged to other networks are as follows: on Allbridge, 3,962.40 to Celo, 6,543.28 to Fantom, 187,421.32 to Polygon, 17,693.24 to BSC, 71,967.80 to Ethereum, and 43,196.66 to Avalanche. On Wormhole, 55,885.56 to BSC, 480.62 to Avalanche, 24,646.76 to Polygon, and 224,701.28 to Ethereum. The total amount bridged is 636,498.93 pegged US dollars. The net change over seven days is 4,231,787.47 pegged US dollars. This data is from a snapshot and does not prove the buying or transferring of tokens. https://stablecoins.llama.fi/stablecoin/2