Notes

A news scan found the headline 'CCJ R91206 completed September 11 SIP signal and range panel'. The following data was retrieved on September 12 at 06:03 UTC, covering the period from January 1, 2020, to September 11, 2023, at 23:40Z. The data for the symbol CCJ on September 11, 2026, at 04:00:00Z is as follows: the closing price was 96.68, the prior 20-day average was 107.36, the 50-day Simple Moving Average, a calculation of the average price over a set period, was 95.1798, and the 200-day Simple Moving Average was 105.69355. The Average Daily Range, the mean of the daily high-low range, over 20 days was 3.344795, and the Average True Range, a measure of volatility, over 20 days was 3.858995. The return over 20 days was -1.094629 percent, and the signal, an indication to buy or sell, was false. The stop, a price level to limit losses, was 89.99041, and the target, a desired price level, was 116.74877. The 20-day average volume was 2620679.4. The whole fund affordability uses a price of 170.20 only. This data includes sample standard deviation of log returns, 20 and 60-day returns, and illustrations of stops and targets, but does not include any orders or executable quotes. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CCJ&timeframe=1Day&feed=sip&adjustment=all

A news scan found the signal data for SWKS. On September 11, 2026, at 04:00:00Z, the data showed the following information for the symbol SWKS: the closing price was 88.35, the prior 20-day average was 84.03, the 50-day Simple Moving Average, or SMA, was 65.97, and the 200-day SMA was 63.71. The Average Daily Range, or ADR, over 20 days was 3.63, and the Average True Range, or ATR, over 20 days was 3.64. The return over 20 days was 26.65 percent, and the signal was true. The stop price was 81.08, and the target price was 110.16. The average volume over 20 days was 6,279,018. The data also included the percentage of returns over 20 and 60 days, which were 47.15 percent and 50.51 percent, respectively. This data was retrieved on September 12 at 06:03 UTC, and covers the period from January 1, 2020, to September 11, 2026, at 23:40Z. The sample standard deviation, or SD, used a log return calculation with one degree of freedom, and the ADR and ATR calculations used the mean high-low and mean true range, respectively, without Wilder smoothing. The data illustrates stop and target prices, but does not include any orders or executable quotes. The whole fund affordability uses a price of 170.20. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SWKS&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'LPG R91206 completed September 11 SIP signal and range panel'. On September 11, 2026, at 04:00:00Z, the stock symbol LPG had a close price of 55.18. The prior 20-day average was 55.2. The Simple Moving Average, or SMA, which is a calculation of the average price over a certain period, for 50 days was 45.9394, and for 200 days was 35.572449999999996. The Average Daily Range, or ADR, which is the average of the daily high-low prices, over 20 days was 1.6405249999999996. The Average True Range, or ATR, which is a measure of price volatility, over 20 days was 1.7889799999999993. The return, or change in price, over 20 days was 20.929213236905532 percent. The signal, which is a decision to buy or sell, was false. The stop, or minimum price to sell, was 51.89895, and the target, or desired price to sell, was 65.02315. The volume, or number of shares traded, over 20 days was 547469. This data was retrieved on September 12 at 06:03 UTC, and covers the period from January 1, 2020, to September 11, 2026, at 23:40Z. The calculations include sample standard deviation, log returns, and mean true range, but do not use Wilder smoothing. The illustration includes stops and targets, but does not represent an actual order or executable quote. The whole fund affordability uses a value of 170.20. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=LPG&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'HWM R91206 completed September 11 SIP signal and range panel'. The data for the symbol HWM on September 11, 2026, at 04:00:00Z is as follows: the closing price was 229.61, the prior 20-day average was 292.65, the 50-day Simple Moving Average, which is a calculation of the average price over 50 days, was 272.24, and the 200-day Simple Moving Average was 245.97. The Average Daily Range, which is the mean of the high-low range over 20 days, was 8.20, and the Average True Range, which is a measure of volatility, over 20 days was 9.83. The 20-day and 60-day returns as a percentage were -18.81 and not provided, respectively. The signal, which is a trigger to buy or sell, was false. The stop, which is the price at which to sell to limit losses, was 213.20, and the target, which is the price at which to sell to take profits, was 278.83. The volume over 20 days was 3664544.4. The data was retrieved on September 12 at 06:03 UTC, covering the period from January 1, 2020, to September 11, 2026, at 23:40Z. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=HWM&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'SPY R91206 completed September 11 SIP signal and range panel'. A data line for the SPY symbol was retrieved on September 12 at 06:03 UTC, covering the period from January 1, 2020, to September 11, 2023, at 23:40Z. The data shows the following information: the date is September 11, 2026, at 04:00:00Z, the closing price is 764.29, and the prior 20-day average is 777.88. The Simple Moving Average, or SMA, which is a calculation of the average price over a certain period, for 50 days is 758.62 and for 200 days is 712.05. The Average Daily Range, or ADR, which measures the average difference between high and low prices over 20 days, is 4.24, and the Average True Range, or ATR, which measures the average range of prices over 20 days, is 5.45. The return over 20 days is -1.75 percent, and the signal, which is a trigger to buy or sell, is false. The stop price, which is the price at which to stop buying or selling, is 755.81, and the target price, which is the desired price, is 789.73. The volume over 20 days is 37,423,783.5. The fund's whole affordability, which uses a value of 170.20, is 0. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the report for STNG on September 11. The report includes the following information: the symbol is STNG, the date is September 11, 2026, and the closing price is 84.52. The prior 20-day average is 84.51, the 50-day simple moving average, or SMA50, is 77.93, and the 200-day simple moving average, or SMA200, is 70.84. The average daily range, or ADR, over 20 days is 2.00, and the average true range, or ATR, over 20 days is 2.12. The return over 20 days is 8.23 percent and over 60 days is 25.44 percent and 34.99 percent, respectively, as a percentage of the average true range. The signal is true, the stop is 80.52, and the target is 96.53. The volume over 20 days is 725,188. The whole fund affordability uses 170.20. This report was retrieved on September 12 at 06:03 UTC and covers the period from January 1, 2020, to September 11, 2026, at 23:40Z. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=STNG&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'FRO R91206 completed September 11 SIP signal and range panel'. The data for the symbol FRO on September 11, 2026, at 04:00:00Z is as follows: the closing price was 49.21, the prior 20-day average was 48.4, the 50-day Simple Moving Average, or SMA, which is a calculation of the average price over a certain period, was 40.8458, and the 200-day SMA was 32.8532. The Average Daily Range, or ADR, which is the mean of the high-low range over 20 days, was 1.3496, and the Average True Range, or ATR, which is a measure of volatility, was 1.5461. The 20-day and 60-day returns as a percentage were 21.4462 and not directly provided, but the 20-day and 60-day realized volatility as a percentage, or RV, were 36.1031 and 45.6912. The signal, which indicates a buy or sell decision, was true, the stop loss, which is the price at which to sell a security, was 46.5109, and the target price, which is the expected price of a security, was 57.3073. The 20-day average volume was 2551724.1. The data was retrieved on September 12 at 06:03 UTC, and covers the period from January 1, 2020, to September 11, 2026, at 23:40Z. The fund's whole affordability uses a value of 170.20. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=FRO&timeframe=1Day&feed=sip&adjustment=all

A diagnostic test was measured on September 12 at 06UTC. This test was not a momentum backtest or a live win probability test. The test used 20,000 paths, 60 days, and a seed of 2026091206. The block length was 5 days and the sample size was 1,255. The test started on September 13, 2021, at 04:00:00 UTC and ended on September 11, 2026, at 04:00:00 UTC. The cost per side was 6 basis points. The model used was target_first. The results showed the following per asset: for QQQ, the stop fraction was 0.77655, the target fraction was 0.1278, the timeout fraction was 0.09565, the mean exit session was 18.30565, the ambiguous path fraction was 0, the mean net return percentage was 0.8767, and the 5th percentile net return percentage was -2.976. For IWM, the stop fraction was 0.81095, the target fraction was 0.14325, the timeout fraction was 0.0458, the mean exit session was 14.8415, the ambiguous path fraction was 0, the mean net return percentage was 0.1851, and the 5th percentile net return percentage was -2.8719. For EFA, the stop fraction was 0.76485, the target fraction was 0.16685, the timeout fraction was 0.0683, the mean exit session was 17.71015, the ambiguous path fraction was 0, the mean net return percentage was 0.3423, and the 5th percentile net return percentage was -3.0468. The mean book profit and loss was 0.8762, the median book profit and loss was -3.9532, the 5th percentile book profit and loss was -5.0825, the 95th percentile book profit and loss was 21.3171, and the fraction of book loss over 3 percent was 0. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=QQQ,IWM,EFA&timeframe=1Day&feed=sip&adjustment=split&start=2021-09-12

A news scan found the following data: Measured on September 12 at 06UTC. This is a diagnostic test, not a momentum backtest or live win probability test. The test used 20000 paths, 60 days, and a seed of 2026091206. The block length was 5, and the sample size was 1255. The test started on September 13, 2021, at 04:00:00+00:00 and ended on September 11, 2026, at 04:00:00+00:00. The cost was 6 basis points per side. The model used was stop_first. The results were as follows: for QQQ, the stop fraction was 0.77655, the target fraction was 0.1278, the timeout fraction was 0.09565, the mean exit session was 18.30565, the ambiguous path fraction was 0, the mean net return percentage was 0.8766829935039253, and the 5th percentile net return percentage was -2.976048296916703. For IWM, the stop fraction was 0.81095, the target fraction was 0.14325, the timeout fraction was 0.0458, the mean exit session was 14.8415, the ambiguous path fraction was 0, the mean net return percentage was 0.18505491136086152, and the 5th percentile net return percentage was -2.871989798123886. For EFA, the stop fraction was 0.76485, the target fraction was 0.16685, the timeout fraction was 0.0683, the mean exit session was 17.71015, the ambiguous path fraction was 0, the mean net return percentage was 0.34227454334188284, and the 5th percentile net return percentage was -3.0467527993109367. The mean book profit and loss was 0.8761565006264321, the median book profit and loss was -3.9531892152657835, the 5th percentile book profit and loss was -5.082487814119885, the 95th percentile book profit and loss was 21.317089063791475, and the fraction of book losses over 3 percent was 0. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=QQQ,IWM,EFA&timeframe=1Day&feed=sip&adjustment=split&start=2021-09-12

A calculation was made on September 12 at 06UTC. The context was a fund value of 187.22 and an equity value of 850.99. The results included various measured and scenario figures, such as gap correlation between different stocks, including QQQ, IWM, and EFA, with QQQ correlated to itself at 1, to IWM at 0.8115197250523069, and to EFA at 0.7788104197066453. Other figures included a normal stop book loss of 3.7307636734698724, all targets book gain of 24.103442240575927, double crisis book loss of 41.84243026458264, and double crisis equity percentage of 4.91691209821298. The common 20 book loss was 41.3647109387759 and the common 20 equity percentage was 4.860775207555424. The common 10 book loss was 23.015787306122885 and the full lot loss equity percentage was 7.333811208122304. The full loss safe notional was 25.52. The old capital was 144.67 and the new capital is 187.22, representing a capital growth percentage of 29.41176470588236. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=split&start=2016-01-01

A measurement was taken on September 12 at 06:04 UTC. The historical gaps from 2016 to September 11, 2026, were considered, with adjustments made for splits. The assumption of loss was calculated as loss equals N times 2 ATR, which is a measure of price volatility, divided by the close price, plus 1 minus 2 ATR divided by the close price, times 2 times the absolute value of the worst gap, plus 0.005. A 50 basis point, which is a unit of measurement for interest rates and percentages, is assumed as the liquidation friction. The breach gap is an adverse gap beyond the stop to lose 25.5297, which is not forecast. The details for the symbol EFA are as follows: the notional value is 62.41, the stop percentage is 1.6511152764760988, the ordinary stop loss is 1.0304610440487332, the target payoff is 6.010259551095235, the reward to risk ratio is 5.83259268829865, the number of gaps is 2687, the worst gap percentage is -11.623511623511618, the worst date was 2020-03-16 at 04:00:00 UTC, the double worst plus 50 basis point loss is 15.611426734054403, the equity loss percentage is 1.8345017842811788, the beyond stop gap to 3 percent percentage is 39.40594759649317, the latest 252-day annualized volatility percentage is 15.876152286473344, the distance to the simple moving average percentage is 5.986340973057924, and the ratchet candidate now is 107.12826. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=split&start=2016-01-01

A measurement was taken on September 12 at 06:04 UTC. This looked at historical gaps from 2016 to September 11, 2026, and adjusted for splits. The assumption of loss was calculated using a formula that includes the average true range, or ATR, which is a measure of volatility, and the worst gap, which is the largest price jump. The formula also includes a 0.5% liquidation friction, which is the cost of selling an asset. A breach gap is an adverse gap that goes beyond the stop loss, which is set to lose $25.5297, but this is not a forecast. The data for the symbol IWM shows a notional value of $62.41, a stop loss percentage of 2.1257%, and an ordinary stop loss of $1.3267. The target payoff is $8.0034, with a reward to risk ratio of 6.0326. There were 2687 gaps in the data, with the worst gap being -9.3019% on March 16, 2020. The double worst gap plus 0.5% loss is 13.0026%, and the equity loss percentage is 1.5279%. The percentage of gaps that go beyond the stop loss to 3% is 39.1121%. The latest 252-day annualized volatility is 18.8227%, and the distance to the simple moving average is 5.7565%. The ratchet candidate now is 299.03895. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=split&start=2016-01-01

A news scan found the data line for QQQ measured on September 12 at 06:04 UTC. This data includes historical gaps from 2016 to September 11, 2026, with split adjustments. The assumption for loss is calculated using the formula: loss equals N times 2 ATR divided by close plus 1 minus 2 ATR divided by close times 2 times the absolute value of the worst gap plus 0.005. ATR stands for Average True Range, which is a measure of volatility. The data also assumes 50 basis points, or 0.5%, is the friction cost of liquidation. A breach gap is an adverse gap beyond the stop that would result in a loss of 25.5297, which is not forecast. The data includes the following details for QQQ: symbol is QQQ, notional value is 62.4, stop percentage is 2.2013, ordinary stop loss is 1.3736, target payoff is 10.0898, reward to risk ratio is 7.3454, there have been 2687 gaps, the worst gap percentage was -9.4572 on March 16, 2020, and the latest 252-day annualized volatility percentage is 19.6238. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=split&start=2016-01-01

A news scan found the headline is not available, but a document from September 12, 2026, explains how a vendor's primary documentation handles changes in stock prices and volumes. It supports two types of adjustments: split price and volume adjustments, and cash-dividend price adjustments. The documentation includes all supported adjustments. To get a total-return proxy, use the adjustment option set to all, and to study actual-price gaps, use the split option. These are not two separate sources of data. https://docs.alpaca.markets/us/reference/stockbars

A measurement was taken on September 12, 2026, at approximately 06:03 UTC. This measurement used daily bars from a vendor and a primary market-data aggregator that does not independently reconstruct dividends. The measurement considered 252 return intervals for ETFs and 365 for crypto, using a simple moving average of 200, known as SMA, which is a calculation to find the average price of a stock over a certain period. It also used an average true range, or ATR, of 20, which measures the range of an asset's price, and considered the 90th percentile of overlapping 60-bar returns that ended within the trailing 5 years, meaning the top 10% of returns over the past 5 years. The actual size was 0 while the regular trading hours, or RTH, were closed. The data for the symbol TLT, which represents a specific investment fund, as of September 11, 2026, at 04:00:00 UTC, showed the following: the close price was 80.87, the return percentage was -5.756904789651552, the simple moving average of 200 was 84.50049999999999, the average true range of 20 was 0.6911250000000002, it was not above the simple moving average, the 90th percentile gain percentage was 6.150557763249668, the number of data points for this percentile was 1255, the stop price was 79.48775, the target price was 85.84395606314001, and the high price over 20 periods was 83.28. The proposed notional allocation was 0. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=TLT&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'GLD 06UTC completed daily fixed signal and proposed allocation'. Measured on 2026-09-12 at approximately 06:03 UTC, the data used daily bars from a vendor and a primary market-data aggregator that does not independently reconstruct dividend data. The calculation used 252 return intervals for exchange-traded funds and 365 for crypto, with a simple moving average of 200, known as SMA, and an average true range of 20, referred to as ATR. It also considered the 90th percentile of overlapping 60-bar returns that ended within the trailing 5 years, which is called P90. The actual size was 0 while the regular trading hours, or RTH, were closed. The data for the symbol GLD on 2026-09-11 at 04:00:00 UTC showed a close of 398.77, a return percentage of 18.94350653224364, an SMA200 of 415.93449999999996, an ATR20 of 7.952445000000003, and the price was not above the SMA. The P90 gain percentage was 16.781703911009302, with 1255 data points, a stop at 382.86510999999996, and a target at 465.69040068593176, with a high of 429.42 over 20 periods, and a proposed notional of 0. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=GLD&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'ETH/USD 06UTC completed daily fixed signal and proposed allocation'. Measured on 2026-09-12 at approximately 06:03UTC, the data used daily bars from a vendor, which is the primary market-data aggregator, but it does not independently reconstruct dividend data. The calculation used 252 return intervals for ETFs and 365 for crypto, with a Simple Moving Average, or SMA, of 200 days, and an Average True Range, or ATR, of 20 days with simple true ranges. It also looked at the 90th percentile, or P90, of overlapping 60-bar returns that ended within the trailing 5 years. The actual size is 0 while the Regular Trading Hours, or RTH, are closed. The details are as follows: the symbol is ETH/USD, the date is 2026-09-11 00:00:00+00:00, the number of observations is 2080, the close price is 2516.066, the return percentage is -43.62278628330868, the SMA200 is 2052.4675781083274, the ATR20 is 98.98817058315004, it is above the SMA, the P90 gain percentage is 42.97560686769694, the number of observations for P90 is 1826, the stop is 2318.0896588336996, the target is 3597.360632691787, the high20 is 2664.8535, the rank is 7, and the proposed notional is 0. https://runway.adityaperswal.workers.dev/data/crypto-bars?symbols=ETH%2FUSD&timeframe=1Day

A news scan found the report of a completed daily fixed signal and proposed allocation for BTC/USD as of 06:03UTC on September 12, 2026. The measurement was based on vendor daily bars from the primary market-data aggregator, which does not independently reconstruct dividend data. The calculation used 252 return intervals for ETFs and 365 for crypto, with a simple moving average of 200, known as SMA, and an average true range of 20, referred to as ATR. It also considered the 90th percentile of overlapping 60-bar returns over the trailing 5 years, denoted as P90. The actual size was 0 while the regular trading hours, or RTH, were closed. The data included the symbol BTC/USD, the date September 11, 2026, and the following values: close price of 77212.8315, return percentage of -33.16656763055563, SMA200 of 70029.04266958944, ATR20 of 2437.141232487298, and the proposed notional value of 0. https://runway.adityaperswal.workers.dev/data/crypto-bars?symbols=BTC%2FUSD&timeframe=1Day

A news scan found the headline 'SPY 06UTC completed daily fixed signal and proposed allocation'. Measured on 2026-09-12 at approximately 06:03 UTC, the data used daily bars from a vendor and a primary market-data aggregator that does not independently reconstruct dividend data. The calculation used 252 return intervals for ETFs and 365 for crypto, with a Simple Moving Average (SMA) of 200 days and an Average True Range (ATR) of 20 days using simple true ranges. It also considered the 90th percentile (P90) of overlapping 60-bar returns that ended within the trailing 5 years. The actual size was 0 while the Regular Trading Hours (RTH) were closed. The data for the symbol SPY on 2026-09-11 at 04:00:00 UTC included a close price of 764.29, a return percentage of 18.49%, an SMA200 of 712.05, an ATR20 of 5.45, and the price was above the SMA. The P90 gain percentage was 10.84%, with 1255 data points, a stop at 753.38, a target at 847.16, a high in the last 20 days of 778.8, a rank of 5, and a proposed notional of 0. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=SPY&timeframe=1Day&feed=sip&adjustment=all

A measurement was taken on September 12, 2026, at approximately 06:03 UTC. This measurement used daily bars from a vendor and a primary market-data aggregator that does not independently reconstruct dividend data. The measurement considered 252 return intervals for ETFs and 365 for crypto, using a simple moving average of 200, which is a calculation to find the average price of a stock over a certain period, and an average true range of 20, which measures the range of a stock's price. It also looked at the top 90% of overlapping 60-bar returns that ended within the last 5 years. The actual size was 0 while the regular trading hours were closed. The data for the symbol EFA on September 11, 2026, at 04:00:00 UTC is as follows: the close price was 106.7, the return percentage was 19.46%, the simple moving average of 200 was 100.67, the average true range of 20 was 0.88, and it was above the simple moving average. The top 90% gain percentage was 9.63%, the number of data points for this calculation was 1255, the proposed stop price was 104.94, and the proposed target price was 116.98. The highest price in the last 20 days was 108.89, the rank was 4, and the proposed notional allocation was 62.41. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=EFA&timeframe=1Day&feed=sip&adjustment=all

A measurement was taken on September 12, 2026, at approximately 06:03 UTC. This measurement used daily bars from a vendor and a primary market-data aggregator, which did not independently reconstruct dividend data. The measurement considered 252 return intervals for ETFs and 365 for crypto, using a simple moving average of 200, known as SMA, which is a calculation to find the average price of a stock over a certain period. It also used an average true range of 20, referred to as ATR, which measures the volatility of a stock. The measurement looked at the top 90% of overlapping 60-bar returns that ended within the last 5 years, referred to as P90. The actual size was 0 while the regular trading hours, or RTH, were closed. The data for the symbol IWM on September 11, 2026, at 04:00:00 UTC, showed a close price of 288.89, a return percentage of 23.46%, and an SMA200 of 273.17. The ATR20 was 3.07, and the price was above the SMA. The P90 gain percentage was 12.82%, with 1255 data points considered. A stop price of 282.75 and a target price of 325.94 were proposed. The high price over the last 20 days was 305.18, and the rank was 3. A proposed notional allocation of 62.41 was suggested for IWM. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=IWM&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'QQQ 06UTC completed daily fixed signal and proposed allocation'. Measured on 2026-09-12 at approximately 06:03UTC, the data used daily bars from a vendor, which is the primary market-data aggregator, but it does not independently reconstruct dividend data. The calculation used 252 return intervals for ETFs and 365 for crypto, with a simple moving average, or SMA, of 200, and an average true range, or ATR, of 20 using true ranges. The 90th percentile, or P90, of overlapping 60-bar returns that ended within the trailing 5 years was also considered. The actual size was 0 while the regular trading hours, or RTH, were closed. The data for the symbol QQQ on 2026-09-11 at 04:00:00+00:00 showed the following: the number of observations, or n, was 1579, the close price was 714.88, the return percentage was 23.69878183831673, the SMA of 200 was 659.2565, the ATR of 20 was 7.868424999999997, it was above the SMA, the P90 gain percentage was 16.16958533244174, the number of observations for P90 was 1255, the stop was 699.14315, the target was 830.4731316245595, the high of the last 20 observations was 734.58, the rank was 2, and the proposed notional allocation was 62.4. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=QQQ&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'EEM 06UTC completed daily fixed signal and proposed allocation'. Measured on 2026-09-12 at approximately 06:03 UTC, the data used vendor daily bars and a primary market-data aggregator that does not independently reconstruct dividends. The calculation used 252 return intervals for ETFs and 365 for crypto, with a simple moving average of 200, known as SMA, and an average true range of 20, referred to as ATR. It also considered the 90th percentile of overlapping 60-bar returns that ended within the trailing 5 years, denoted as P90. The actual size was 0 while the regular trading hours, or RTH, were closed. The data for the symbol EEM on 2026-09-11 at 04:00:00 UTC showed a close of 67.84, a return percentage of 34.203758654797234, an SMA200 of 61.760349999999995, an ATR20 of 0.9526399999999988, and the price was above the SMA. The P90 gain percentage was 10.717963493264469, with 1255 data points considered, a stop at 65.93472, a target at 75.11106643383062, a high of 69.125 over 20 periods, a rank of 1, and a proposed notional of 0. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=EEM&timeframe=1Day&feed=sip&adjustment=all

A closed trade was recorded for BTC/USD on September 3. The trade entered at a price of 81614.8 and exited at 81548.7, resulting in a gross return of -0.080990%. The notional value of the trade was 137.2644226836. The operator chose to liquidate the trade at 20:30, after entering it at 19:42. Since there were no stop or target outcomes, and no quote or fee information is available at the time of the decision, it is not possible to estimate the win rate of the rule or the execution slippage, which refers to the difference between expected and actual trade prices. The observed outcome was 0 wins out of 1 trade, with an average gross loss of 0.080990%. There were no winning trades, and with only one trade, it is not possible to determine if there is an edge, or a consistent advantage, with this approach. query_trades fund=crypto, retrieved 2026-09-12T06:02UTC

The Jobs 237 and 239 were last run at 06:01:20.873 UTC and ended successfully. Job 238 was last run at 05:31:04.327 UTC and also ended successfully. The notes show that deliveries for jobs 237 and 239 occurred at 05:01, 05:31, and 06:01, which is a nominal 15-minute interval, but the observed interval was 30 minutes. The next funding is scheduled for 06:31, which exceeds the script cutoff of 06:30, so running the remaining jobs alone will not provide adequate coverage. The cutoffs must be extended past 08 UTC. The Ethereum quote at 06:02 had a bid of 2511.57 and an ask of 2512.30, but it was 650 seconds old and failed the freshness test. There was no fresh breakout of the 8-coin index on the 05 UTC hour, which was completed by 06 UTC. The records are from the actual collector origins, but there is no independent corroboration. list_jobs fund=crypto; query_research notes fund=crypto, retrieved 2026-09-12T06:02UTC