Notes

A news scan found the headline about ETH/USD 08UTC cadence integrity 1Hour. The data line shows the following information about Ethereum, a type of cryptocurrency: the symbol is ETH, the time frame is 1 hour, and the number of data points is 14690. The close median basis point is 0, the close 99th percentile basis point is 0, and the close max basis point is 0, and the open max basis point is 0. This data is from a study observed on September 9, with a training period in 2025 and a holdout period in 2026. The simulation is unconditional and uses independent and identically distributed data, which means it does not try to forecast the future, and it looks at the differences between daily and 15-minute intervals, but these differences are not used to make trades based on actual prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD 08UTC cadence integrity'. The data provided is about Bitcoin, symbol BTC. It includes two types of Average True Range, or ATR, which measures price volatility, over 14 days: an arithmetic ATR of 2271.0718241479262 and a wilder ATR of 2257.4263784612162. This data was observed in a study on September 9 and is based on a period from 2025 for training and 2026 for holdout. The simulation is unconditional and uses independent and identically distributed, or IID, data for sensitivity, and does not make a forecast. It notes that differences between daily and 15-minute field data are not traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD 08UTC cadence integrity 1Day'. The data line shows information about Bitcoin, symbol BTC, with a 1-day time frame. The numbers are: close median basis points at 0, close 99th percentile basis points at 7.560631754826388, close maximum basis points at 9.475313838558375, and open maximum basis points at 584.3715455711418. This data is from a study observed on September 9, with a training period in 2025 and a holdout period in 2026. The simulation is unconditional and uses independent and identically distributed data, which means it does not try to forecast future prices. It also looks at differences between daily and 15-minute time frames, but these differences are not actual traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD 08UTC cadence integrity 1Hour'. The data provided is about Bitcoin, with a 1-hour time frame. The numbers are: symbol is BTC, the native time frame is 1 hour, n is 14686, close median basis points is 0, close 99th percentile basis points is 0, close max basis points is 0, and open max basis points is 0. This data is from a study observed on September 9, with a training period in 2025 and a holdout period in 2026. The simulation is unconditional, meaning it does not depend on specific conditions, and uses independent and identically distributed data, which means each data point is independent of the others and follows the same distribution, and it is a sensitivity analysis, not a forecast. The analysis notes that daily versus 15-minute field differences are not traded prices, referring to the fact that the differences between daily and 15-minute time frames are not actual prices that can be traded. https://runway.adityaperswal.workers.dev/data/crypto-bars

A simulation of the SOL/USD currency pair was run at 08UTC. The simulation used 10000 paths, 10 cycles, and 70 data points. The results showed a 5th percentile price of 221.9321281379955, a median price of 234.9337671608879, and a 95th percentile price of 249.10672702988575. The simulated loss percentage was 53.83. The simulation was based on a study observed on September 9, using data from 2025 for training and 2026 for holdout. The simulation was unconditional and did not forecast future prices, instead testing sensitivity to independent and identically distributed, or IID, events. It also compared daily and 15-minute price differences, which are not actual traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A simulation of the ETH/USD exchange rate was run at 08UTC. The simulation used 10000 paths, 10 cycles, and considered 61 data points. The results showed a 5th percentile price of 220.7458453459409, a median price of 232.9587418436872, and a 95th percentile price of 246.67584487257224. The simulated loss percentage was 63.85999999999999. The simulation was based on a study observed on September 9, using data from 2025 for training and 2026 for holdout. The simulation was unconditional, meaning it did not try to forecast future prices, and used independent and identically distributed, or IID, data. It also looked at the difference between daily and 15-minute field differences, which are not the same as traded prices, with approved dollars set to 0. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD 08UTC cadence simulation'. The simulation results for Bitcoin are as follows: the symbol is BTC, the number of observations is 82, the number of paths is 10000, and the number of cycles is 10. The 5th percentile price is 224.26700958817156, the median price is 232.70796080204332, and the 95th percentile price is 241.65482866167304. The loss percentage is 72.8 and the approved dollars is 0. This is based on a study observed on September 9, with a period of 2025 for training and 2026 for holdout. The simulation is unconditional and uses independent and identically distributed data for sensitivity, and is not a forecast. It also notes that daily versus 15-minute field differences are not traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line for the symbol SOL, which has the following information: the number of data points is 70, the mean percentage difference between the 15-minute and hourly prices is 0.0950040466764503, the lower confidence interval percentage is -0.040510319438042806, and the upper confidence interval percentage is 0.2508592736120481. The different exit reason is 3. This data is from a study observed on September 9, with a training period of 2025 and a holdout period of 2026. The simulation is unconditional and independent, and it does not forecast prices. It also notes that daily versus 15-minute field differences are not traded prices, which refers to the fact that the differences between daily and 15-minute price fields are not actual prices that can be traded, where a field is a piece of information or data point. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data line: a symbol, ETH, with 61 observations, had a mean 15-minute minus hour percentage of 0.11108433973750344, a confidence interval low percentage of -0.0347710641689468, and a confidence interval high percentage of 0.30300840646987715, with a different exit reason of 3, based on a study observed on September 9, using a period of 2025 for training and 2026 for holdout, with a simulation that is unconditional and independently and identically distributed, which is not a forecast, noting that daily versus 15-minute field differences are not traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line: symbol is BTC, n is 82, mean 15 minutes minus hour percentage is -0.0028187870373982214, ci low percentage is -0.16465203906668127, ci high percentage is 0.18333682529379525, and different exit reason is 3. This data is from a study observed on September 9, with a period of 2025 for training and 2026 for holdout. The simulation is unconditional, using independent and identically distributed data, and does not include a forecast. The differences between daily and 15-minute fields are not traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line for the symbol SOL, which is a type of cryptocurrency, with the following information: the date is 2026-09-08 00:00:00+00:00, the close price is 103.36, the average true range, or atr, which measures price volatility, is 5.056535725048966, and the atr percentage, which shows the atr as a percentage of the price, is 4.892159176711461. The simple moving average, or sma, over 100 periods is 79.36240555855, and the relative strength index, or rsi, over 2 periods is 36.247688683999236. This data is from an observed study on September 9, using a period of 2025 for training and 2026 for holdout, with a simulation that is unconditional and independent and identically distributed, or IID, and is a sensitivity analysis that is not a forecast. The differences between daily and 15-minute field data are not traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line for ETH/USD on September 8, 2026, at 00:00:00 UTC, which includes the following information: the symbol is ETH, the close price was 2484.527, the average true range, or atr, which is a measure of price volatility, was 89.54047431571558, and the atr percentage, which is the atr divided by the close price, was 3.6039243814100463. The simple moving average, or sma, over 100 periods was 1929.8675250000001, and the relative strength index, or rsi, over 2 periods was 40.99200932651989. This data is part of a study observed on September 9, using data from 2025 for training and 2026 as a holdout period. The simulation is unconditional and uses independent and identically distributed, or iid, data for sensitivity analysis, but does not make a forecast. The differences between daily and 15-minute field data are not traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line for the symbol BTC on the date 2026-09-08 00:00:00+00:00 with a close price of 78448.681. The atr, which is a measure of volatility, was 2257.4263784612162, and the atr percentage, which shows volatility as a percentage, was 2.8775835994759635. The sma100, or 100-day simple moving average, was 66573.60578. The rsi2, a measure of the speed and change of price movements, was 16.527007918462175. This data is part of an observed study on September 9, using a period from 2025 for training and 2026 as a holdout. The simulation is unconditional and uses IID, or independent and identically distributed, data for sensitivity, but does not make a forecast. It notes that differences between daily and 15-minute field data are not traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line for the SOL symbol, which is a cryptocurrency ticker, with a 15-minute time frame, or tf, having 59041 data points, with 95 data points missing, starting from January 1, 2025, at 00:00:00 UTC, and ending on September 8, 2026, at 23:45:00 UTC. This data was used for a study observed on September 9, where the period from 2025 was used for training and 2026 was used for holdout, which means it was set aside to test the model. The simulation was run without trying to forecast, and it tested how sensitive the results were to random changes, assuming the data followed an independent and identically distributed pattern, or IID, which is a statistical concept. The study found differences between daily and 15-minute field data, but these differences are not the same as the prices at which trades are made. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line for the SOL/USD 1 Hour cadence quality. The data shows the symbol is SOL, the time frame is 1 Hour, the total number of data points is 14777, and there are 7 missing data points. The first data point is from 2025-01-01 00:00:00+00:00 and the last data point is from 2026-09-08 23:00:00+00:00. This data is part of a study observed on September 9, which uses data from 2025 for training and 2026 as a holdout period. The simulation is unconditional and uses independent and identically distributed, or IID, data to test sensitivity, but does not make forecasts. The study also notes that differences between daily and 15-minute field data are not traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data line: the symbol is SOL, the time frame is 1 Day, the number of data points is 677, there are 0 missing data points, the first data point is from 2024-11-01 00:00:00+00:00, and the last data point is from 2026-09-08 00:00:00+00:00. This data is related to an observed study on September 9, with a training period in 2025 and a holdout period in 2026. The simulation is unconditional and uses independent and identically distributed data, which means the data is not forecasted. The study also notes that daily versus 15-minute field differences are not traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A report on the ETH/USD exchange rate has a 15-minute time frame, known as a time frame or tf, which is a period of time used to analyze data. The report has 59017 data points, but 119 of them are missing. The first data point is from January 1, 2025, at 12:00 AM, and the last data point is from September 8, 2026, at 11:45 PM. The report is based on a study observed on September 9, which uses data from 2025 for training and 2026 as a holdout period, meaning it is used to test the model. The simulation is unconditional, meaning it does not rely on any specific conditions, and uses an independent and identically distributed, or IID, method, which means each data point is independent of the others and follows the same distribution. The report notes that daily versus 15-minute field differences are not traded prices, meaning they are not the actual prices at which trades are made. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: the symbol is ETH, the time frame is 1 hour, there are 14782 data points, 2 are missing, the first data point is from 2025-01-01 00:00:00+00:00, and the last data point is from 2026-09-08 23:00:00+00:00. This is related to a study observed on September 9, which uses data from 2025 for training and 2026 as a holdout period. The simulation is unconditional and uses independent and identically distributed data, which means it does not try to forecast future prices. It also looks at differences between daily and 15-minute data, but these differences are not used to make trades based on actual prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A report on the Ethereum to US Dollar exchange rate with a 1-day time frame found 677 data points with no missing values from November 1, 2024, to September 8, 2026. The study observed data from September 9 and used a training period in 2025 and a holdout period in 2026. The simulation was run without trying to forecast future values and instead tested the sensitivity of the data, assuming it was independent and identically distributed, which is a statistical concept meaning each data point is independent of the others and follows the same distribution. The study found differences between daily and 15-minute field data, but these differences are not traded prices, meaning they are not the actual prices at which trades were made. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line: symbol is BTC, time frame is 15 minutes, which is a short period of time called a time frame, total number of data points is 59017, number of missing data points is 119, first data point is from January 1, 2025, at 00:00:00, and last data point is from September 8, 2026, at 23:45:00. This data was used for a study on September 9, where the period from 2025 was used for training and 2026 was used for holdout, which means it was set aside to test the results. The simulation was unconditional, meaning it did not rely on specific conditions, and IID, which stands for independently and identically distributed, meaning each data point is independent of the others and follows the same pattern. The sensitivity was not forecast, meaning it was not predicted. The study also looked at the differences between daily and 15-minute field differences, which are not traded prices, meaning they are not the actual prices at which trades were made. https://runway.adityaperswal.workers.dev/data/crypto-bars

A report on the BTC/USD exchange rate has a 1-hour time frame, also known as a time frame or tf, which is a period of time used to analyze data. The report has 14782 data points, with 2 data points missing. The first data point is from January 1, 2025, at 00:00:00 UTC, and the last data point is from September 8, 2026, at 23:00:00 UTC. The report is based on a study observed on September 9, which uses data from 2025 for training and 2026 for testing, known as a holdout period. The simulation is unconditional, meaning it does not rely on specific conditions, and uses an IID, or independent and identically distributed, method, which means each data point is independent of the others. The sensitivity of the simulation is not a forecast, but rather an analysis of how the data points react to different conditions. The report also notes that daily and 15-minute field differences are not traded prices, meaning they are not the actual prices at which trades were made. https://runway.adityaperswal.workers.dev/data/crypto-bars

A report on the Bitcoin to US Dollar exchange rate with a 1-day time frame was analyzed. The data had 677 entries with no missing values, starting from November 1, 2024, and ending on September 8, 2026. A study was done on September 9, using data from 2025 for training and 2026 for testing. The simulation was run without trying to forecast future prices, and it assumed that each day's price is independent of the previous day, which is known as an unconditional independent and identically distributed simulation. The study found differences between daily prices and 15-minute prices, but these differences are not used to make trades. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD Frozen08UTC cadence audit oos 15Min slip15'. The audit results for the SOL symbol are as follows: the period is out of sample, the time frame is 15 minutes, the slip is 15 basis points, the number of trades is 70, 13 trades were skipped, the return percentage is -29.349831802190877, the drawdown percentage is 50.67392154272441, the win percentage is 47.14285714285714, the average win percentage is 4.287670281892637, the average loss percentage is 4.492391618062159, the expectancy percentage is -0.35321957951204125, the low confidence interval percentage is -1.5881042653137742, and the high confidence interval percentage is 0.8643520654798216. The raw quarter Kelly is 0, the number of stops is 20, the number of targets is 9, and the maximum stop overshoot R is 0.20988996775372268. Note 1430 states that the paths were preregistered and unconditional, with a 72-hour disjoint period, and not an entry edge. The training period is from 2025, and the holdout period is from 2026 through September 8, with a 25 basis point credited asset fee, and a 15-minute mark. The cash returns were reconciled, and incomplete 72-hour paths were omitted. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees

A news scan found the headline 'SOL/USD Frozen08UTC cadence audit oos 15Min slip5'. The given data is about the performance of a trading strategy for the symbol SOL. The period is out of sample, the time frame is 15 minutes, and the slip is 5 basis points. The results are based on 70 trades, with 13 skipped. The return percentage is -18.732950311684434, and the drawdown percentage is 45.59516535029439. The win percentage is 47.14285714285714, with an average win percentage of 4.496454563326082 and an average loss percentage of 4.30118505132661. The expectancy percentage is -0.15372637584748414, with a confidence interval low of -1.3835163901164156 and a confidence interval high of 1.1070830410902128. The raw quarter Kelly is 0, with 20 stops and 9 targets. The maximum stop overshoot R is 0.20988996775372268. Note 1430 refers to preregistered, unconditional 72-hour disjoint paths, not an entry edge. The data is from 2025 for training and 2026 through September 8 for holdout, with a 25 basis point credited asset fee and mark to market every 15 minutes. Cash returns are reconciled, and incomplete 72-hour paths are omitted. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees

A news scan found the headline 'SOL/USD Frozen08UTC cadence audit oos 1Hour slip15'. The given data line is about an audit of the SOL/USD trading symbol. The period is out of sample, the time frame is 1 hour, and the slip is 15 basis points. The audit had 70 data points, skipped 13, and resulted in a return percentage of -34.06241773931569 and a drawdown percentage of 53.64190666187281. The win percentage was 47.14285714285714, with an average win percentage of 4.202696130390975 and an average loss percentage of 4.595982130996908. The expectancy percentage was -0.44803380777119145, with a confidence interval low percentage of -1.7387996719596053 and a confidence interval high percentage of 0.7476772337104358. There were 19 stops and 7 targets, with a maximum stop overshoot of 0.3794333474516038. Note 1430 mentioned preregistered, unconditional 72-hour disjoint paths, and not an entry edge. The data is from 2025 for training and 2026 through September 8 for holdout, with 25 basis points credited for asset fees and marked every 15 minutes. Cash returns were reconciled, and incomplete 72-hour paths were omitted. https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://docs.alpaca.markets/us/docs/crypto-fees