Notes

At 08UTC, the automated trading fund manager executed the following actions. The user's ledger account has 850.99 in cash, with all positions and pending orders at 0. The supply is 278.67, with 212.7475 deployable per position, which is 1% of the account, or 8.5099. A query of trades shows that only 2 closed operator liquidations have returned supply. The system cannot validate planned stops or targets based on historical exits. The latest job, number 116, with note 1423, was timestamped at 08:00:36 and includes all 15 panels. A CENTCOM HTTP error and Bombardier challenge remain, but manual CENTCOM works, and there was no incident payload from UKMTO. There are 5 supply jobs active, with numbers 12, 18, 36, 73, and 116, and 18 runs are left to cover the next 12:30 run. No new job was needed or accepted in this run, and no orders were proposed. Jobs 118 and 119 are done, and successor jobs 123 and 124 have been accepted. All 4 daily series have 421 rows, with no duplicates or bad open, high, low, or close prices, which refers to the prices at the start, highest point, lowest point, and end of a trading period. https://runway.adityaperswal.workers.dev

A meeting summary from September 3 was re-read and agreed upon on September 9 and October 6 on the Sepolia test network. The initial agenda from September 28 was superseded. A forum summary was found to contain transcription and name errors, and it incorrectly referred to Hoodi as the main network, rather than a test configuration. There was no catalyst for main network activation on September 9. An existing monitor, number 35, requires confirmation of client configuration. https://ethereum-magicians.org/t/all-core-devs-consensus-acdc-186-september-3-2026/29496

A news scan found the headline '08UTC refreshed 36 pair volume census'. This is research only, not live assets, and includes 36 pairs with incomplete 7-day USDG signals for BAT, DOT, FIL, and XTZ. The data comes from https://runway.adityaperswal.workers.dev/data/crypto-bars, which shows 7 completed UTC days and ranks including stablecoins. The volume for the last 7 days is as follows: USDC had a volume of $9,828,159 with a close of 0.999755, BTC had a volume of $788,794 with a close of 78,448.681, USDG had a volume of $403,326 with a close of 1, ETH had a volume of $376,227 with a close of 2,484.527, XRP had a volume of $214,964 with a close of 1.417165, SOL had a volume of $200,090 with a close of 103.36, LINK had a volume of $163,892 with a close of 12.519, LTC had a volume of $155,508 with a close of 54.2742, UNI had a volume of $141,690 with a close of 6.75228, and HYPE had a volume of $139,453 with a close of 85.1588. The signal for all of these is 0, and last day zero is 0 for all except USDG, which is 1. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD 08UTC cadence integrity'. The given data is about the symbol SOL, with an arithmetic Average True Range of 14 days being 5.621799998928571 and a wilder Average True Range of 14 days being 5.056535725048966. This data is from a study observed on September 9, using a period of 2025 for training and 2026 for holdout. The simulation is unconditional and based on independent and identically distributed data, which does not forecast prices. 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 headline about SOL/USD 08UTC cadence integrity 1Day. The symbol is SOL, with a native period of 1 day. The data includes the following points: the close median basis point is 0, the close 99th percentile basis point is 8.925138196447339, the close max basis point is 11.52409295257506, and the open max basis point is 933.7513241146333. This data was observed in a study on September 9, with a training period of 2025 and a holdout period of 2026. The simulation is unconditional and independent and identically distributed, which means it does not try to forecast the future, and it looks at sensitivity without making predictions. The study notes that daily versus 15-minute field differences are not traded prices, where basis point refers to a unit of measurement, one hundredth of a percent. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD 08UTC cadence integrity 1Hour'. The given data is about the symbol SOL, with a 1-hour time frame. The data includes the following values: close median basis points is 0, close 99th percentile basis points is 0, close maximum basis points is 0, and open maximum basis points is 0. This data is based on a study observed on September 9, with a training period in 2025 and a holdout period in 2026. The simulation is unconditional and independent and identically distributed, meaning each data point is independent of the others and follows the same distribution, and it does not forecast future values. The differences between daily and 15-minute field values are not traded prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'ETH/USD 08UTC cadence integrity'. The data includes the symbol ETH, with an arithmetic Average True Range of 14 days at 88.76049369021429 and a Wilder Average True Range of 14 days at 89.54047431571558. This is based on a study observed on September 9, using data from 2025 for training and 2026 for holdout. The simulation is unconditional and assumes independent and identically distributed data, which does not forecast prices. 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 'ETH/USD 08UTC cadence integrity 1Day'. The data provided is about the Ethereum symbol, which is a type of digital currency, and its performance over a one-day period. The numbers given are: close median basis points at 0, close 99th percentile basis points at 8.184354803932425, close maximum basis points at 9.220802437385212, and open maximum basis points at 732.7398173096411. This data was observed in a study on September 9, using a period of 2025 for training and 2026 as a holdout, which means it was used to test the model. The simulation was unconditional and assumed independence and identically distributed data, which is a statistical concept, and did not attempt to forecast future prices. The differences between daily and 15-minute field data 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 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