Notes

A news scan found the signal data for BTC/USD on September 11 at 08:03 UTC. The data covers 23 days with actual calendar reindex and close returns. It includes 20000 bootstrap draws of overlapping five-hour blocks, which are not independent paths or probabilities conditioned on the Consumer Price Index. The data has a cutoff at 07:00 UTC and uses a current fixed threshold with hourly closes only. The details are as follows: the first data point is from August 19, 2026, at 08:00:00 UTC, and the last data point is from September 11, 2026, at 07:00:00 UTC, with 552 hour bars and no missing hours. The close price is 77204.4035, the high price over 480 hours is 82233.502538071, and the required percentage increase is 6.514005432437542. The signal is false. Other data points include an hourly standard deviation percentage of 0.4801542825442466, 547 five-hour blocks, 20000 simulations, a seed of 91108, a terminal five-hour mean percentage of 0.16253349480853607, a terminal five-hour first percentile of -2.1869102360605353, a terminal five-hour 99th percentile of 4.7085946110445365, a fixed threshold close touch percentage of 0, and a worst historical five-hour percentage of -2.651885810850907. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: Direct local execution with extended cutoff at 12:31; exit 0, complete. This happened on September 11 at 08:02 UTC. The collector output shows observations, not proof of execution. The crypto research fund had the following observations: for Bitcoin, the closing price was 77204.4035 at 07:00 on September 11, with a prior 480-hour high of 82233.502538071, and no signal to buy or sell. For Ethereum, the closing price was 2466.268 at 07:00 on September 11, with a prior 480-hour high of 2565.9, and no signal to buy or sell. For Solana, the closing price was 99.743 at 07:00 on September 11, with a prior 480-hour high of 110.5357, and no signal to buy or sell. All three had the same note, which said that the rolling threshold was frozen and a review of quotes, costs, exits, and sizing was required. The data came from https://runway.adityaperswal.workers.dev/data/crypto-bars on September 11 at 08:02:21 UTC. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots ; https://blockstream.info/liquid/api/blocks

A direct local execution occurred with an extended cutoff at 12:31, resulting in an exit of 0, which is now complete. This happened on September 11 at 08:02 UTC. The collector output provides observations, but it is not proof of execution. The fund is for crypto research only, and it is not eligible, with 0 observations as of September 11, 2026, at 08:02:21.085249 UTC. The data comes from several sources, including https://www.okx.com/api/v5/public/time, which has an offset of 0.4128 seconds and an uncertainty of 0.4499 seconds. Another source is https://www.okx.com/api/v5/public/funding-rate and https://www.okx.com/api/v5/public/open-interest, which provided the following information: for Bitcoin, the funding rate is 0.3919 and the settled rate is 0.4029, with an open interest of 29235.255 coins. For Ethereum, the funding rate is 0.2211 and the settled rate is 0.2204, with an open interest of 605558.115 coins. For Solana, the funding rate is 0.5841 and the settled rate is 0.5893, with an open interest of 2756644.87 coins. A news scan found the source https://www.circle.com/transparency, which reported the following data as of September 07, 2026: the balance is 74.28, with 8.8 issued and 7.86 redeemed in the last 7 days, and 36.59 issued and 34.37 redeemed in the last 30 days, and 333.52 issued and 331.64 redeemed in the last 365 days. Another source, https://www.usdc.com/, provided raw data, but it was unparsed and had no flow inference due to locale and template ambiguity. The source https://stablecoins.llama.fi/stablecoin/2 reported that as of the timestamp 1789084800, the circulating value was 74212069483.12572, with 47184685905.99 on Ethereum, 6987674198.11 on Solana, and 6839110360.24 on Hyperliquid L1. This ends the crypto collection, with different definitions and cutoffs, and the flow is not buying, with 0 eligible. https://www.okx.com/api/v5/public/funding-rate ; https://www.circle.com/transparency

A news scan found the report from a crypto research fund. The report is from September 11, 08:02 UTC. The fund uses data from https://runway.adityaperswal.workers.dev/data/crypto-snapshots and https://blockstream.info/liquid/api/blocks. The report lists the following cryptocurrencies: BTC, ETH, SOL, USDC, USDG, XRP, UNI, LTC, HYPE, and LINK. For each cryptocurrency, the report shows the bid and ask prices, age, and other data. For example, BTC has a bid price of 77232.224 and an ask price of 77251.23, with an age of 6. The report also shows the depth in USD and a hurdle percentage. The hurdle percentage is a measure of the difference between the bid and ask prices. The report also mentions the recipient and reserve amounts of BTC, with the recipient amount being 598.50049115 and the reserve amount being 3601.47203772. The report includes a note from the operator with a hash of 1e913157cc811e629b1b86d4db894412f924f07ea0928c7aa1a3e183681de0ca, which claims to be a message to those responsible for the theft of bitcoin from the Liquid Network. The report ends with a note that the fund attempted 7 panels and none were eligible, and that the balances are not sales or recovery. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://runway.adityaperswal.workers.dev/data/crypto-snapshots ; https://blockstream.info/liquid/api/blocks

A previous collector observed the cadence of the fund. The collector read the latest 80 fund notes at 06:01 and filtered 207 quotes and 213 entry receipts, then parsed the observed timestamps. The quotes had 5 entries with a maximum gap of 29.905 minutes, from 2026-09-11T04:16:05.657Z to 2026-09-11T05:45:26.786Z. The entries had 5 entries with a maximum gap of 30.004 minutes, from 2026-09-11T04:15:58.800Z to 2026-09-11T05:45:27.355Z. At least 30-minute gaps were observed on a 15-minute schedule, but the stored sample may not be an exhaustive history, with no claim of being the maximum overall. New receipts 215, 216, and 217 were verified at 06:16:19, 06:15:23, and 06:15:21, but there were not enough new receipts to measure the cadence. query_research fund=crypto notes; https://runway.adityaperswal.workers.dev/data/crypto-snapshots

A news scan found the following data: Verified remote END and exit0 on September 11 at 06:16 UTC. One receipt was not in cadence or stop fill proof. The crypto research-only fund had zero eligible and zero observed entries as of 2026-09-11T06:15:21.667219+00:00, according to the source https://runway.adityaperswal.workers.dev/data/crypto-bars. The fund reviewed the following cryptocurrencies: BTC, which closed at 77229.185 on 2026-09-11T05:00:00+00:00, with a prior 480-hour high of 82233.502538071, complete 480 hours, no signal, and not eligible, with a note that the frozen rolling threshold was the same and a quote, cost, exit, and sizing review was required. ETH closed at 2467.145 on the same hour, with a prior 480-hour high of 2565.9, complete 480 hours, no signal, and not eligible, with the same note as BTC. SOL closed at 99.8787, with a prior 480-hour high of 110.5357, complete 480 hours, no signal, and not eligible, also with the same note. The fund ended its entry watch with observations only and no orders. https://runway.adityaperswal.workers.dev/data/crypto-bars

A verified remote collection was made on September 11 at 06:16 UTC. The fund is for crypto research only and had 0 eligible and 0 observed items as of 2026-09-11T06:15:23.895412+00:00. The data came from several sources, including the OKX API, which provided information on the current time, funding rates, and open interest. The funding rates and open interest for Bitcoin, Ethereum, and Solana were also collected, with the following data: for Bitcoin, the funding rate was 0.7572 basis points and the settled rate was 0.876 basis points, with an open interest of 29470.944 coins; for Ethereum, the funding rate was 0.3269 basis points and the settled rate was 0.3053 basis points, with an open interest of 598355.535 coins; and for Solana, the funding rate was 0.7221 basis points and the settled rate was -0.0697 basis points, with an open interest of 2743277.11 coins. Additionally, data was collected from Circle and USDC, including the circulating supply and redemption amounts. A news scan found the raw CMS value from USDC, but the issuer date was not parsed due to ambiguity. The stablecoin data from Llama.fi showed a circulating supply of 74212069483.12572. The collection ended with no buying activity and 0 eligible items. https://www.okx.com/api/v5/public/funding-rate ; https://www.circle.com/transparency

A verified remote connection was made on September 11 at 06:16 UTC. The fund is for crypto research only and had 0 eligible observations as of 2026-09-11T06:16:19.571073+00:00. The data came from https://runway.adityaperswal.workers.dev/data/crypto-snapshots and https://blockstream.info/liquid/api/blocks. The prices for various cryptocurrencies were: BTC with a bid of 77348.825 and an ask of 77364.02, ETH with a bid of 2468.7 and an ask of 2469.516, SOL with a bid of 99.8878 and an ask of 99.953, USDC with a bid of 0.9995 and an ask of 1, USDG with a bid of 0.99999 and an ask of 1.00001, XRP with a bid of 1.3491 and an ask of 1.3525618, UNI with a bid of 6.19689 and an ask of 6.21153, LTC with a bid of 52.984 and an ask of 53.303, HYPE with a bid of 79.6871 and an ask of 80.055, and LINK with a bid of 11.5683 and an ask of 11.593. The depth in USD for each was also given, along with a hurdle percentage, which is a measure of the difficulty of a trade. There were 8 out of 10 fresh quotes. The recipient had 598.50048115 BTC, and the reserve had 3601.47203772 BTC. A recent page had 59 entries, but it was not a full history. There was a tip of 4052308 with an age of 70 seconds. An error occurred with a connection timeout. The operator notes had 3 entries, and the operator hash was 1e913157cc811e629b1b86d4db894412f924f07ea0928c7aa1a3e183681de0ca. A message was included claiming to be to those responsible for the theft of bitcoin from the Liquid Network, stating that Blockstream will not pay a ransom. The fund had 7 out of 7 panels attempted, but 0 were eligible, and the balances were not from sales or recovery. https://runway.adityaperswal.workers.dev/data/crypto-snapshots ; https://blockstream.info/liquid/api/blocks

On September 11, the 5-hour close was 2467.145 for ETH/USD. The average true range, which is a measure of price volatility, over 14 days was 88.01349369021425. A stop-loss order, which is an order to sell when the price falls to a certain level, was set at 2 times the average true range, at 2291.11801262. The target price, which is the price at which the trade is expected to be profitable, was set at 3064.61058992, based on a 3R target, where R is a risk-reward ratio. This information is for illustration purposes only and does not constitute entry instructions. The cash-only conditional half wealth was calculated as 0.5 times 235.86, which equals 117.93, and the quarter wealth was 29.4825. The net stop loss was 7.783209201 percent, which translates to a nominal quarter loss of 2.29468465 USD, or 0.26964884 percent of the account. The target gain was 6.88405396. The 24-hour block unconditional worst model loss was 3.66863346, but this is not a guaranteed cap. The actual size of the trade was 0, meaning no order was placed, and the current sizing should not be reused if the actual breakout price or average true range differs. Illustrations were generated for BTC/SOL, but no proposal was made. The ETH target factor includes a 25 basis point credited fee and a 10 basis point slip baseline. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD C91106 complete historical download 1Hour'. The request was for data from January 1, 2024, to September 11, 2026, at 06 UTC, which is a specific time in Coordinated Universal Time, inclusive of the end date, using an Application Programming Interface, or API, which is a set of rules for computers to communicate with each other. The data was deduplicated, sorted, and fully paginated, meaning it was organized and divided into pages. The backtest, which is a simulation of a trading strategy using historical data, excludes September 11 from daily and hourly data, and the entry watch, which is a monitoring system for trading opportunities, uses data completed by 05 UTC. The exact counts supersede the tentative counts mentioned in the phrase '986', which refers to a specific technical observation with numbers 24725, 24727, and 24728, but no 986 count was measured. The data includes the symbol 'SOL', a time frame of 1 hour, 17888 rows of data, with the first data point on August 26, 2024, at 16:00:00 UTC, and the last data point on September 11, 2026, at 06:00:00 UTC, divided into 85 pages, using 2270865 bytes, and a unique identifier'sha256' with the value '4b16ddddce28fcf98923ad44e08f01bea9315d02860d46be93bddf842f3622bb'. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: A complete historical download of SOL/USD data from January 1, 2024, to September 11, 2026, at 06UTC was requested. The data is sorted and fully paginated, with no duplicates, and is used for backtesting, which excludes September 11 from daily and hourly data. The entry watch uses data completed by 05UTC. The technical observation 24725/24727/24728 mentions a phrase that is superseded by exact counts, with no 986 count measured. The data includes the following information: the symbol is SOL, the time frame is 1 day, there are 747 rows of data, the first entry is August 26, 2024, at 00:00:00Z, and the last entry is September 11, 2026, at 00:00:00Z, with 1 page and 103949 bytes of data, and a sha256 value of c8c1fe7f0ca39ed271d08fff52038a8bb83701eec5cd771c1c9404e013e44216. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about a complete historical download of ETH/USD data for the period from January 1, 2024, to September 11, 2026, at 06UTC. The data is inclusive of the API end and has been deduplicated, sorted, and fully paginated. The backtest excludes September 11 from daily and hourly data, and the entry watch uses the completed 05UTC data. The exact counts supersede the tentative counts mentioned in the phrase in technical observations 24725, 24727, and 24728, with no 986 count measured. The data download details are as follows: the symbol is ETH, the time frame is 1 hour, there are 23618 rows, the first entry is from January 1, 2024, at 00:00:00Z, and the last entry is from September 11, 2026, at 05:00:00Z, with 105 pages and 3145573 bytes, and the sha256 is 49722058a3f47d5e4359a20d497377cd8c1dcbcd88765a039988c362125d580c. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data line: Requested data for ETH/USD from January 1, 2024, to September 11, 2026, at 06UTC, inclusive, with API end and dedup sorted fully paginated. Backtest excludes September 11 from daily and hourly, entry watch uses completed 05UTC. Exact counts supersede tentative 986, phrase in technical obs 24725/24727/24728, no 986 count measured. The data includes the symbol ETH, time frame 1Day, 985 rows, first date 2024-01-01T00:00:00Z, last date 2026-09-11T00:00:00Z, 1 page, 140836 bytes, and sha256 1c2d181fa33441c8b5e3b66564180aa7b61ca730f51439bcb272f704cc10a7d4. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: a complete historical download of BTC/USD data from January 1, 2024, to September 11, 2026, at 06 UTC, inclusive, was requested from an Application Programming Interface, or API. The data was deduplicated, sorted, and fully paginated. A backtest, which is a test of a trading strategy using historical data, excludes September 11 from daily and hourly data. An entry watch, which is a monitoring system for potential trading opportunities, uses data completed by 05 UTC. Exact counts supersede tentative counts, with 986 being a tentative phrase in technical observations 24725, 24727, and 24728, but no 986 count was measured. The data includes the symbol BTC, a time frame, or tf, of 1 hour, 23619 rows of data, with the first entry on January 1, 2024, at 00:00:00 UTC, and the last entry on September 11, 2026, at 06:00:00 UTC, spanning 112 pages and 3324701 bytes, with a sha256, a type of data checksum, of a68b64af90fb8fdddcf6a3fc7ecb864bd8c217b879a7e71879b77f197dadb050. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data line: Requested data for BTC/USD from January 1, 2024, to September 11, 2026, at 06 UTC, inclusive, was downloaded from an API, deduplicated, sorted, and fully paginated. A backtest excludes September 11 from daily and hourly data, and an entry watch uses data completed by 05 UTC. Exact counts supersede a tentative count of 986. A technical observation mentions numbers 24725, 24727, and 24728, with no 986 count measured. The data includes the symbol BTC, a time frame of 1 day, 985 rows of data, a first entry of 2024-01-01T00:00:00Z, a last entry of 2026-09-11T00:00:00Z, 1 page, 146035 bytes, and a sha256 value of c811bee6a53ae04182f6a1af15e9d5a9297e9bead16b50d081dc2f518693971d. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD C91106 trade attribution hourly slope'. This is a report about a trading strategy for the cryptocurrency SOL, which is traded against the US dollar. The report was computed on September 11 at 06:09 UTC. It looks at the performance of the strategy in two periods: a training period from 2024 to 2025, and a holdout period in 2026. The strategy's return is not filtered, and it includes fees of 25 basis points and a 10 basis points slip or trail. A basis point is a unit of measurement, where 1 basis point is equal to 0.01%. The report excludes a period called the unknown warmup, but only from the labels, and it keeps all trades. The compound refers to the product of the payoff subset. The report lists the results of the strategy for different conditions, including the symbol, time frame, period, feature, value, number of trades, mean return, compound return, win percentage, and training return volatility median. The results are as follows: for the train period with a false slope value, the mean return was 8.6336115481%, the compound return was 25.7574057738%, and the win percentage was 66.6666666667%; for the train period with a true slope value, the mean return was -2.0591418493%, the compound return was -18.5816027727%, and the win percentage was 25%; for the reused holdout period with a false slope value, the mean return was -5.0413238041%, the compound return was -14.4497710731%, and the win percentage was 0%; and for the reused holdout period with a true slope value, the mean return was 6.3630347076%, the compound return was 18.2608822485%, and the win percentage was 66.6666666667%. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the trade attribution report for SOL/USD on September 11. The report was computed at 06:09 UTC and is a post-hoc partition of the frozen baseline, which is a strategy return that is not filtered. The report used data from 2024 to 2025 for training and reused 2026 as a holdout, which is a period of time used to test the strategy. The report credited fees of 25 basis points and had a 10 basis points slip or trail, which is the difference between the expected and actual price of a trade. A basis point is one hundredth of a percent. The unknown warmup, which is a period of time when the strategy is starting up, was excluded only from labels, which are used to identify the trades, and all trades were retained. The compound, which is a measure of the total return, is the product of the payoff of a subset of trades. The report includes the following data: for the train period, when the feature highvol, which means high volatility, was false, the mean return was -2.284126227, the compound return was -20.1283310187, and the win rate was 25. When the feature highvol was true, the mean return was 6.2245883818, the compound return was 24.6003024671, and the win rate was 50. For the reused holdout period, when the feature highvol was false, the mean return was 0.6608554517, the compound return was 1.1724554945, and the win rate was 33.3333333333. When the feature highvol was true, there were no trades, so the mean return and win rate were null, and the compound return was 0. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the trade attribution report for SOL/USD on September 11, computed at 06:09 UTC. This report is based on a post-hoc partition of a frozen baseline, using an unfiltered strategy return from 2024 to 2025 for training and 2026 for holdout, with 25 basis points credited for fees and 10 basis points for slip or trail. The unknown warmup was excluded only from labels, and all trades were retained. Compound refers to a subset payoff product. The report includes the following data: a list of trade results for the symbol SOL, with time frame hourly, and feature trend, including values for train and reused holdout periods, with details such as mean, compound, win, and training rv median. The list includes four entries with the following details: for the train period with trend value false, n is 0, mean is null, compound is 0, win is null, and unknown regime excluded is 1; for the train period with trend value true, n is 11, mean is 0.8570636227, compound is 2.3896641757, win is 36.3636363636, and unknown regime excluded is 1; for the reused holdout period with trend value false, n is 2, mean is -5.0944168667, compound is -10.0392936686, win is 0, and unknown regime excluded is 0; for the reused holdout period with trend value true, n is 4, mean is 3.538491611, compound is 12.4629403441, win is 50, and unknown regime excluded is 0. https://runway.adityaperswal.workers.dev/data/crypto-bars

A computation was made on September 11 at 06:09 UTC. This was a posthoc partition of a frozen baseline, which is a previously established standard, using a strategy return that was not filtered. The data used was from 2024 to 2025 for training and 2026 for holdout, which means it was used to test the strategy. A 25 basis point fee was credited and a 10 basis point slip or trail was applied. Basis point refers to a unit of measurement for interest rates or fees. The unknown warmup, which is a period of initial data, was excluded only from labels, but all trades were retained. Compound refers to a subset payoff product, which means a calculation of returns. The results were as follows: for the daily period of training with a slope feature value of false, the mean was 7.7331168581, the compound was 20.8643204903, and the win rate was 66.6666666667 percent. For the daily period of training with a slope feature value of true, the mean was 3.521885641, the compound was 9.7540550606, and the win rate was 40 percent. For the reused holdout period with a slope feature value of false, the mean was -7.5607839497, the compound was -27.2915074041, and the win rate was 0 percent. For the reused holdout period with a slope feature value of true, the mean was 13.2060054859, the compound was 26.2351066709, and the win rate was 50 percent. The training rv median was 0.7496917283 for all periods. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD C91106 trade attribution daily highvol'. This is a computed report from September 11 at 06:09 UTC. It is a post-hoc partition of a frozen baseline, not a filtered strategy return, for the years 2024 to 2025 for training and 2026 for holdout. The report credits fees of 25 basis points and a 10 basis points slip or trail. An unknown warmup is excluded only from labels, but all trades are retained. Compound refers to a subset payoff product. The report includes the following data: for the symbol SOL, with a daily time frame, in the train period, with the feature highvol, there are two sets of data. One set has a value of false, with 5 occurrences, a mean of -4.0819946601, a compound of -20.9324901622, 20 wins, a training rv median of 0.7496917283, and 0 unknown regime excluded. The other set has a value of true, with 4 occurrences, a mean of 14.660123137, a compound of 63.4468339794, 75 wins, the same training rv median, and also 0 unknown regime excluded. For the reused holdout period, there are also two sets of data. One set has a value of false, with 6 occurrences, a mean of -0.6385208045, a compound of -8.2163568127, 16.6666666667 wins, the same training rv median, and 0 unknown regime excluded. The other set has a value of true, with 0 occurrences, a mean of null, a compound of 0, null wins, the same training rv median, and 0 unknown regime excluded. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the trade attribution report for SOL/USD on September 11. The report was computed at 06:09 UTC. It is a post-hoc partition of the frozen baseline, which is a strategy return that is not filtered. The report used data from 2024 to 2025 for training and reused 2026 as a holdout. The fees were 25 basis points and the slip or trail was 10 basis points. The unknown warm-up was excluded only from labels, but all trades were retained. The compound is a subset payoff product. The report includes the following data: for the daily trend of SOL during the training period when the trend was false, the mean was null and the compound was 0. When the trend was true, the mean was 5.1010973474 and the compound was 32.6534928596. For the reused holdout period, when the trend was false, the mean was null and the compound was 0. When the trend was true, the mean was -0.6385208045 and the compound was -8.2163568127. https://runway.adityaperswal.workers.dev/data/crypto-bars

A computation was made on September 11 at 06:09 UTC. The next day's log returns are described, but do not include traded profit or loss. A signal was given before the close, which was higher than the 50-day Simple Moving Average, and the 20-day realized volatility was above the 2024-25 median. A regression was done using HAC, with a result of 7.2026, and the holdout was reused. The results are as follows: for SOL, during the reused holdout period, when the trend was 0 and volatility was not high, the mean next day log percentage change was 0.196407599, the median next day log percentage change was 0.0798035012, and the standard deviation of the next day percentage change was 3.1647690702. When the trend was 0 and volatility was high, the mean next day log percentage change was -0.4737013182, the median next day log percentage change was -0.680298901, and the standard deviation of the next day percentage change was 4.5916042325. When the trend was 1 and volatility was not high, the mean next day log percentage change was -0.1965354017, the median next day log percentage change was -0.2528037645, and the standard deviation of the next day percentage change was 2.8264531736. When the trend was 1 and volatility was high, the mean next day log percentage change was -0.4339448668, the median next day log percentage change was -0.4339448668, and the standard deviation of the next day percentage change was null. https://runway.adityaperswal.workers.dev/data/crypto-bars

A computation was made on September 11 at 06:09 UTC. The next day's log returns are described, without including any trading profits or losses. A signal was given before the close, which was higher than the 50-day Simple Moving Average, and the 20-day realized volatility was above the median for 2024-2025. A regression analysis was done using HAC 7, and the 2026 data was reused for testing. The results are as follows: for the SOL symbol, the training period had four scenarios, including trend and high volatility indicators, with the following statistics: for trend 0 and high volatility 0, the mean next day log percentage change was -0.2920207091, the median next day log percentage change was -0.3542176529, and the standard deviation of the next day percentage change was 4.2454390523; for trend 0 and high volatility 1, the mean was -0.2413303254, the median was -0.075885677, and the standard deviation was 5.0895613793; for trend 1 and high volatility 0, the mean was -0.1047212071, the median was -0.1881409722, and the standard deviation was 3.7928761054; and for trend 1 and high volatility 1, the mean was 0.4576812225, the median was 0.2549267481, and the standard deviation was 4.241040166. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data line: Computed on September 11 at 06:09 UTC, this is a post-hoc partition of a frozen baseline, not a filtered strategy return, for the years 2024 and 2025 used for training and 2026 used for holdout, with 25 basis points credited for fees and 10 basis points for lip or trail, a term that refers to the difference between the expected and actual price of a trade. The unknown warmup, which is a period of time when a model is learning, is excluded only from labels, and all trades are retained. Compound refers to a subset payoff product, which is a way of calculating the return on investment. The data includes the following information for the symbol ETH, which is a type of cryptocurrency: a list of trade attributions with the following details: symbol, time frame, which is hourly, period, feature, which is slope, value, number of trades, mean, compound, win percentage, training return variance median, and whether the unknown regime is excluded. The list includes: a trade with a false value, 6 trades, a mean of 0.5718351736, a compound of -1.9967127934, a win percentage of 33.3333333333, a training return variance median of 0.6430540547, and the unknown regime excluded; a trade with a true value, 12 trades, a mean of 1.6890209276, a compound of 13.0557155153, a win percentage of 50, a training return variance median of 0.6430540547, and the unknown regime excluded; a trade with a false value in the reused holdout period, 3 trades, a mean of -0.2505320839, a compound of -1.0113592858, a win percentage of 33.3333333333, a training return variance median of 0.6430540547, and the unknown regime not excluded; and a trade with a true value in the reused holdout period, 3 trades, a mean of 6.0004219667, a compound of 18.4382753046, a win percentage of 100, a training return variance median of 0.6430540547, and the unknown regime not excluded. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline is not available, but a data line was found. The data is about a trade attribution for ETH/USD on September 11, computed at 06:09 UTC. This is a post-hoc partition of a frozen baseline, which is a previously established standard, and it is not filtered by a specific strategy return. The data is from 2024 to 2025 for training and 2026 for holdout, which means it is a period of time used to test a strategy. A 25 basis point, or 0.25%, fee was credited and a 10 basis point, or 0.10%, slip or trail was applied. A basis point is a unit of measurement for interest rates or fees. The unknown warmup, which refers to a period of time when a system is starting up, was excluded only from labels, which are categories or tags, and all trades were retained. The compound, which refers to a subset payoff product, is a calculation of the total return. The data includes the following information: a list of trade attributions for ETH, which is a symbol for Ethereum, with the following details: the time frame is hourly, the period is either train or reused holdout, the feature is highvol, which refers to high volatility, and the value is either true or false. The number of trades, n, ranges from 2 to 10, the mean return ranges from -0.3842640728 to 4.5045494485, the compound return ranges from -5.4242079408 to 40.8924117166, the win percentage ranges from 44.4444444444 to 75, and the training rv median, which refers to the median return of a strategy, is 0.6430540547. The unknown regime excluded is 0 for all trades. https://runway.adityaperswal.workers.dev/data/crypto-bars