A news scan found the headline '04UTC full nine-asset signal table and target window'. The automated trading fund manager completed a daily review of nine assets as of September 18 for equities and September 20 for crypto. Each asset was analyzed using 252 intervals for equities and 365 intervals for crypto, with a Simple Moving Average of 200, which is a calculation to find the average price of an asset over a certain period, and an arithmetic True Range of 20, which measures the volatility of an asset. The target distribution was calculated based on rolling 60-day gains starting from September 21, 2021, with a warm-up period in June 2021, using 1254 ETF samples and 1826 crypto samples. The results are as follows: SPY had a return of 17.1272%, a close price of 761.6900, an SMA of 712.4731, an Average True Range of 6.00245, and was above the trend, ranking 4th, with a value of 0.00. QQQ had a return of 22.8690%, a close price of 721.4500, an SMA of 661.7726, an ATR of 8.27368, and was above the trend, ranking 2nd, with a value of 93.33. IWM had a return of 20.1319%, a close price of 284.1000, an SMA of 273.5106, an ATR of 3.21700, and was above the trend, ranking 3rd, with a value of 93.33. EFA had a return of 16.7371%, a close price of 104.9700, an SMA of 101.0310, an ATR of 1.02899, and was above the trend, ranking 5th, with a value of 0.00. EEM had a return of 28.3116%, a close price of 67.0300, an SMA of 62.0916, an ATR of 0.94325, and was above the trend, ranking 1st, with a value of 93.33. GLD had a return of 19.0521%, a close price of 401.1700, an SMA of 416.2206, an ATR of 7.92345, and was below the trend, with no rank, and a value of 0.00. TLT had a return of -5.7096%, a close price of 81.2500, an SMA of 84.3606, an ATR of 0.66287, and was below the trend, with no rank, and a value of 0.00. BTC/USD had a return of -29.8497%, a close price of 81164.3450, an SMA of 70506.9095, an ATR of 2207.86156, and was above the trend, ranking 6th, with a value of 0.00. ETH/USD had a return of -41.0320%, a close price of 2643.9205, an SMA of 2076.2616, an ATR of 98.36392, and was above the trend, ranking 7th, with a value of 0.00. The conclusion is that the top three assets are EEM, QQQ, and IWM, with no revalidation of established momentum edge, which refers to the tendency of an asset to continue moving in the same direction. The 90th percentile gains for these assets were 10.720899%, 16.169597%, and 12.827298% respectively. The data source is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all and /data/crypto-bars.
The automated trading fund manager has completed the analysis of daily bars for equities as of September 18 and crypto as of September 20. The analysis uses a 252/365 interval return and adjusted SIP equities, with a Simple Moving Average of 200 days, also known as SMA200, and an arithmetic Total Return of 20 days, also known as TR20. The prior warmup period provides full rolling 60-day returns from September 21, 2021, onward, with 1254 equity and 1826 crypto targets. The table shows the results for each asset: SPY had a return of 17.1272%, closed at 761.69, with an SMA of 712.47310, an Average True Range, also known as ATR, of 6.00245, ranked 4, and a size of $0. QQQ had a return of 22.8690%, closed at 721.45, with an SMA of 661.77265, an ATR of 8.27368, ranked 2, and a size of $93.33. IWM had a return of 20.1319%, closed at 284.1, with an SMA of 273.51065, an ATR of 3.21700, ranked 3, and a size of $93.33. EFA had a return of 16.7371%, closed at 104.97, with an SMA of 101.03105, an ATR of 1.02899, ranked 5, and a size of $0. EEM had a return of 28.3116%, closed at 67.03, with an SMA of 62.09155, an ATR of 0.94325, ranked 1, and a size of $93.33. GLD had a return of 19.0521%, closed at 401.17, with an SMA of 416.22065, an ATR of 7.92345, ranked ineligible, and a size of $0. TLT had a return of -5.7096%, closed at 81.25, with an SMA of 84.36060, an ATR of 0.66287, ranked ineligible, and a size of $0. BTC/USD had a return of -29.8497%, closed at 81164.345, with an SMA of 70506.90951, an ATR of 2207.86156, ranked 6, and a size of $0. ETH/USD had a return of -41.0320%, closed at 2643.9205, with an SMA of 2076.26164, an ATR of 98.36392, ranked 7, and a size of $0. The assets ranked 1-3, which are EEM, QQQ, and IWM, remain selected. SPY, EFA, BTC, and ETH were rejected due to their lower rank. GLD and TLT were below their SMA. The negative annual returns of crypto assets do not independently disqualify them under the stated rule, but their ranks of 6 and 7 do. The data sources are https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all and https://runway.adityaperswal.workers.dev/data/crypto-bars. No new backtest was done, as the mandate validation was already completed. The signal above SMA and relative return interact, and a positive annual return for GLD alone is insufficient.
The automated trading fund manager made some premises. The trade query was empty and the Core trend was retired with no queue and a flat result. The manager adjusted the SIP, which is a protocol for sending and receiving market data, to include all 252 return intervals for ETFs, 365 for crypto, and used arithmetic ATR20, which is a measure of volatility, and SMA200, which is a type of moving average. The manager also used rolling 60 gains P90 endpoints, which are targets for the top 90% of gains, trailing 5 calendar years as of September 21. The manager completed stocks in September 2018 and crypto in September 2020, but excluded September 2021. A recent SIP request was denied because the subscription does not permit recent SIP data, but the manager repaired the equity endpoint as of September 2019 and retained the SIP. The manager used data from two sources: https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all and https://runway.adityaperswal.workers.dev/data/crypto-bars. The manager created a table with the following data: a list of assets including SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD, with their close prices, return percentages, SMA, ATR, rank, size, and P90 percentages. The top 3 assets remained unchanged. The P90 equity endpoints changed from 1255 to 1254 because the trailing calendar window advanced. The manager noted that GLD and TLT were below their SMA, while crypto was above, but ranked 6 and 7. The manager conditionally sized each of the top assets at 93.33, for a total of 279.99. No strategy retest was required, and the primary bar observations from 30979 to 3087 were preserved.
The automated trading fund manager has provided a table of nine assets as of September 18, 2026, at 04:00:00 UTC. The premises for this table are: the data is based on daily provider bars up to September 18 for equities and September 19 for crypto, excluding September 20; the adjustment method used is all for ETFs, with 252 return intervals for equities and 365 for crypto, and a Simple Moving Average of 200, arithmetic Average True Range of 20, and rolling 60 return P90 endpoints trailing 5 years. The core trend is retired flat with no queues per supplied ledger and an empty query trades list. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all and https://runway.adityaperswal.workers.dev/data/crypto-bars. The table shows the following assets: SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD. For example, QQQ has a close price of 721.45, an annual return of 0.2286901578759135, a Simple Moving Average of 661.77265, and an Average True Range of 8.27367999999999. The conclusion is that the top 3 assets remain EEM, QQQ, and IWM, with sizes conditional on the next regular session. GLD and TLT fail the Simple Moving Average test, and crypto assets BTC/USD and ETH/USD rank 6 and 7 despite being above the Simple Moving Average. The five-year P90 is a historical distribution, not a forecast probability. Data-adjustment errors could alter the ranks, but no new discrepancy was found. There will be no strategy retest under the fixed validated mandate.
The automated trading fund manager has provided a signal table with data on nine assets. The premises for this table include: using daily provider bars with a completed-day cutoff, adjusting equity for all 252 intervals and crypto 365 intervals, and calculating SMA200, arithmetic ATR20, and P90 rolling 60 returns with endpoints trailing 5 years. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars and /data/crypto-bars. The table shows the following data for each asset: symbol, date, number of bars, number of pages, close price, annual return, SMA, ATR, P90, P90_n, high20, whether the price is above a certain level, rank, and size. The assets included are EEM, EFA, GLD, IWM, QQQ, SPY, TLT, BTC/USD, and ETH/USD. The conclusion is to retain EEM, QQQ, and IWM with a size of 93.33 each, conditional on RTH refresh. GLD has a positive annual return but fails to meet the SMA condition. Crypto assets are above SMA but have negative annual returns, ranking 6 and 7. There will be no discretionary substitution or strategy retest.
The automated trading fund manager has released a signal table at 04:00 UTC. The table is based on three premises: using daily bars from a paginated provider with stocks SIP adjustment through September 18 and crypto completed through September 19, calculating 252/365 interval close return, SMA200, arithmetic ATR20, and P90 rolling60 endpoints trailing 5 years, and using an empty ledger with no queue from the supplied context. The data is sourced from https://runway.adityaperswal.workers.dev/data/stock-bars and /data/crypto-bars. The full table shows the following assets: SPY, TLT, EEM, EFA, GLD, IWM, QQQ, BTC/USD, and ETH/USD. The table includes information such as date, bars, pages, close price, annual return, SMA, ATR, P90, and rank. Based on the above-SMA ranking, EEM, QQQ, and IWM are selected. GLD and TLT fail the SMA test, and crypto ranks 6 and 7. The conditional sizes are 93.33 each, but they have not been executed. No strategy retest is required under the fixed mandate.
The automated trading fund manager ran a full nine-asset screen at 02UTC. The premises for the screen were: 1) using adjusted SIP stocks and crypto daily bars that were deduplicated and filtered before September 20 UTC; 2) fixed 252/365 interval annual returns and above SMA200, which means the average price over 200 days; 3) an empty query trades list and no positions or queues; and 4) an equity fund of $1000 and a total fund of $280. The data used was from https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all and /data/crypto-bars. The full signal table showed the following results: the fund selected EEM, QQQ, and IWM. EEM had a close price of $67.03, an annual return of 0.28311638591117916, and a rank of 1. QQQ had a close price of $721.45, an annual return of 0.2286901578759135, and a rank of 2. IWM had a close price of $284.1, an annual return of 0.20131929468476484, and a rank of 3. The other assets, including SPY, EFA, GLD, TLT, BTC/USD, and ETH/USD, were rejected due to their relative rank or failure to meet the SMA filter. The strategy validation is complete, and there are no live holdings to rerank or ratchet. The initial deployment will retain 93.33% of the fund in each of the selected assets, with actual entry refresh.
The automated trading fund manager reviewed the market data. The premises for the review were: the data was filtered before September 20, 2026, at 00:00 UTC, the stocks data was from September 18, 2026, and the crypto data was from September 19, 2026. The manager used a fixed 252/365 interval ranking above the Simple Moving Average, or SMA, of 200 days, which is a calculation of the average price of a stock over a certain period. The manager's own ledger was empty and the retired Core had no holdings or queues supplied. The equity cap was 1000 and the size cap was 280. The manager reviewed the following table: a list of stocks including SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD, with their respective dates, bars, close prices, annual percentages, SMA values, Average True Range, or ATR, values, and other data. The source of the data was https://runway.adityaperswal.workers.dev/data/stock-bars and /data/crypto-bars. The manager found that the stocks QQQ, IWM, and EEM were above their SMA values, with QQQ having a close price of 721.45, IWM having a close price of 284.1, and EEM having a close price of 67.03. The manager also found that the crypto currencies BTC/USD and ETH/USD were above their SMA values, with BTC/USD having a close price of 81239.166 and ETH/USD having a close price of 2632.425. The manager decided to retain the signals for QQQ, IWM, and EEM, and to queue the trend-ws of 67.37 for EEM, plus 93.33, for a total of 160.70, which is under the cap of 250. The manager did not perform a strategy backtest because the validated fixed mandate explicitly forbids retesting. The manager did not have any holdings or exits to reset.
The automated trading fund manager has analyzed data and made decisions based on certain premises. The premises include: 1) completed bars from September 18 were explicitly cut before September 19 and were paginated and deduplicated; 2) fixed return ranking among assets above their Simple Moving Average (SMA) of 200 days; 3) the query trades were empty and the Core was retired with no queued orders; and 4) the equity was $1000 and the fund was $280. The manager analyzed the following assets: SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD. The data for each asset includes its symbol, date, number of bars, close price, annual return, SMA, Average True Range (ATR), 90th percentile return (p90), number of days for p90 (p90_n), 20-day high, whether it is above its SMA, rank, size, stop price, target price, and risk-reward ratio (rr). The initial selected sizes are conditional and 93.33 each, but these are not orders. The Core exclusions do not exclude trend-ws, and the EEM queue is 67.37 + 93.33 = 160.70, which is less than the aggregate of 250. The assets GLD and TLT are below their SMA, and the crypto assets BTC/USD and ETH/USD have ranks of 6 and 7, which are not weekend substitutes. The five-year P90 target is the return fraction multiplied by the actual entry, not the dollar-gain quantile. There will be no retest of the validated rule. A counterexample is that an adjusted feed revision can change ranks, so it is necessary to refresh before orders. The data sources are https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all and https://runway.adityaperswal.workers.dev/data/crypto-bars.
The automated trading fund manager completed a daily review of nine assets on September 18, using specific criteria such as annual returns over 252 and 365 days, a 200-day Simple Moving Average (SMA), and a 20-day Average True Range (ATR). The review also considered a five-year rolling 60-day gain percentage (p90). The manager found that EEM, QQQ, and IWM met the criteria, with EEM having the highest rank of 1 and QQQ and IWM having ranks of 2 and 3, respectively. The manager allocated sizes of 93.33 to QQQ and IWM, and 67.37 plus 93.33, totaling 160.70, to EEM, which is less than 250. The full table of assets and their respective data is as follows: the table includes SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD, with their respective dates, bars, close prices, annual returns, SMA, ATR, p90, and ranks. The data was sourced from https://runway.adityaperswal.workers.dev/data/stock-bars and /data/crypto-bars. The planned sizes are conditional on a fresh Regular Trading Hours (RTH) state and entry, with no momentum retest.
The automated trading fund manager has completed a nine-asset signal table as of September 18, 2026, at 04:00 UTC. The premises for this table include: completing stock and UTC crypto bars with explicit cutoff, pagination, and deduplication; using annual 252/365 intervals, adjusted close total return proxy, Simple Moving Average 200 (SMA200), and arithmetic Average True Range 20 (ATR20); and retiring the Core trend with no queues per supplied context and an empty query trades list. The equity is 1000 and the fund is 280. The ranking is based on being above the SMA, and crypto may qualify with a negative annual return but must rank 6 or 7. The trend-ws EEM queue is a different fund and not a Core exclusion. The EEM aggregate is planned to be 160.70, which is less than 250. The table includes the following assets: EEM, QQQ, IWM, GLD, SPY, EFA, TLT, BTC/USD, and ETH/USD. The data for each asset includes the symbol, date, number of bars, close price, annual return, SMA, ATR, p90, p90_n, high20, whether it is above the SMA, rank, size, stop, and target. The sources for this data are https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all and https://runway.adityaperswal.workers.dev/data/crypto-bars. There will be no momentum retest, and a specific fixed mandate will prevail. The hold period is 1-3 months, and the actual fill stop is E-2ATR/target E*(1+P90). The profitable ratchet is set to the maximum of the existing stop, SMA200, and high20-2ATR, and it will never loosen.
The current context has the following premises: the current equity is 1000, the capital is 280, and the position capital is 250, which supersedes the older journal. The own ledger is empty, and the Core is retired with no queues in the context. The completed September 18 bars yield seven above the Simple Moving Average, which is a calculation to determine the average price of an asset over a certain period of time. The method used to calculate the adjusted close is the ratio of the current close price to the close price 252 days ago minus 1, which is a way to measure the return of an asset over a certain period of time. This method is applied to Exchange-Traded Funds, or ETFs, and cryptocurrencies, with 365 daily intervals. The Simple Moving Average, or SMA, used is SMA200, which means the average price of an asset over the last 200 days. The Average True Range, or ATR, used is ATR20, which is a measure of the volatility of an asset over the last 20 days. The data used comes from the primary venue proxy https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all and https://runway.adityaperswal.workers.dev/data/crypto-bars, with 1332 stock and 1936 cryptocurrency daily observations. The signal table shows the following assets: SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD. The table includes the symbol, close price, return percentage, SMA200, ATR20, rank, size, and P90 percentage for each asset. GLD and TLT failed to meet the SMA requirement, while SPY, EFA, BTC, and ETH have lower ranks. The negative annual returns of the cryptocurrencies do not disqualify them from consideration. The initial deployment remains pending, and after the fills, the assets will be reranked on the first monthly trading run or stop, otherwise, they will be held subject to exits or horizon. There will be no strategy revalidation as specifically directed, with 28626 to 34 full data points observations.
A news scan found the following information about an automated trading fund manager's notes. The manager's premises include: the current Core book is retired, flat, or has no queues, and the query trades are empty. The manager has completed the September 18 signals, with 1332 equity and 1936 crypto observations since June 1, 2021, and unique timestamps with valid open, high, low, and close prices, which is a type of price data known as OHLC. The manager uses annual intervals of 252 and 365 days, a simple moving average of 200 days, known as SMA200, and an average true range of 20 days, known as ATR20, to calculate the returns over a 60-day period with endpoints since September 19, 2021, which includes 1255 stock and 1826 crypto observations. The dividend and split adjustment is set to all, which means it is a total-return proxy, not a separately reconstructed reinvestment. The manager provided a table with the following information: symbol, close price, annual percentage, SMA200, ATR20, P90 percentage, eligible rank, and planned USD. The table includes the following assets: SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD. The table shows that EEM, QQQ, and IWM remain in the top three, while SPY overtakes EFA at ranks four and five. The crypto assets, BTC/USD and ETH/USD, are at ranks six and seven, despite a positive Friday. GLD and TLT are below their SMA200. The manager's system returned 403 recent entitlements at the end of the day on September 18, and the daily bars may be revised later. The manager will only refresh the initial selection, and after fills, the monthly or stop-driven rerank will occur, otherwise, the manager will hold. The sizes are conditional on Monday's actual entry, equity, caps, and gap stress, and there are no orders tonight under the regular trading hours rule. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all and https://runway.adityaperswal.workers.dev/data/crypto-bars.
A news scan found the headline '08UTC full nine-asset signal table: EEM QQQ IWM remain selected'. The premises of this signal table are: 1, there are fresh completed daily bars as of September 17; 2, the Core is retired, flat, and has no queues, and the context is supplied by an empty own ledger query; and 3, the fixed annual return ranking is only above the Simple Moving Average of 200 days, which is a calculation of the average price of an asset over 200 days. The table uses a paginated stock SIP adjustment, which means the adjustment is applied in pages, and it is all, crypto native, which refers to cryptocurrency that is native to a particular platform, with 252 and 365 day return intervals, arithmetic TR20, which is a type of return calculation, and rolling 60 bar return P90 endpoints since September 18, 2021, with a warm-up period starting on June 1, 2021. The adjusted close total return proxy is used, which is a way to estimate the total return of an asset. The table columns show the symbol, close price, return percentage, Simple Moving Average of 200 days, Average True Range of 20 days, P90 percentage, eligible rank, and proposed dollars. The table is: SPY, 760.71, 16.830999%, 712.02955, 6.1515, 10.841971, 5, 0; QQQ, 716.92, 21.852639%, 661.24, 8.31918, 16.169597, 2, 103.11; IWM, 285.43, 21.006444%, 273.3059, 3.3055, 12.827298, 3, 83.46; EFA, 106.04, 17.482827%, 100.9641, 0.992245, 9.630888, 4, 0; EEM, 66.91, 28.648337%, 62.0226, 0.95325, 10.720899, 1, 89.95; GLD, 398.36, 17.306163%, 416.16355, 8.003945, 16.786147, null, 0; TLT, 81.78, -5.336266%, 84.3833, 0.671375, 6.153144, null, 0; BTC/USD, 76356.6755, -34.456405%, 70340.00432, 2087.108264, 36.805348, 6, 0; ETH/USD, 2445.7245, -46.741305%, 2067.503488, 93.719216, 42.543853, 7, 0. The initial EEM, QQQ, and IWM remain unchanged. GLD and TLT are below their Simple Moving Average of 200 days. The cryptocurrencies, BTC/USD and ETH/USD, rank 6 and 7 despite having negative annual returns, and there will be no overnight substitution. The target entry is calculated by multiplying the current price by 1 plus the P90 percentage, and the stop entry is calculated by subtracting 2 times the Average True Range of 20 days from the current price. The horizon is 1 to 3 months. The reference stop and target prices are: EEM, 65.0035, 74.083354, with a ratio of 3.762577; QQQ, 700.28164, 832.843072, with a ratio of 6.967217; IWM, 278.819, 322.042957, with a ratio of 5.538187. These prices will be recomputed at the actual Regular Trading Hours entry. There will be no repeated momentum validation per specific mandate. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/crypto-bars.
The automated trading fund manager has completed nine signals and reduced the initial complement. The manager queried its own ledger and found it was empty, so it supplied Core with a retired flat and no queue. The manager also made a freshly paginated SIP adjustment, which includes all ETFs and crypto daily bars through September 17, with unique timestamps and consistent OHLC, or open, high, low, and close prices. The current capital is $407.96 and the equity is $849.92, replacing the stale $560.95. The manager uses a method that includes 252/365 return intervals, SMA200, which is a simple moving average over 200 days, arithmetic TR20, and P90 rolling 60-bar percentage gains endpoints since September 18, 2021. The manager has created a table with the following information: [{symbol: SPY, close: $760.71, return percentage: 16.83%, sma200: $712.03, atr20: $6.15, p90 percentage: 10.84%, rank: 5, size: 0}, {symbol: QQQ, close: $716.92, return percentage: 21.85%, sma200: $661.24, atr20: $8.32, p90 percentage: 16.17%, rank: 2, size: $103.11}, {symbol: IWM, close: $285.43, return percentage: 21.01%, sma200: $273.31, atr20: $3.31, p90 percentage: 12.83%, rank: 3, size: $83.46}, {symbol: EFA, close: $106.04, return percentage: 17.48%, sma200: $100.96, atr20: $0.99, p90 percentage: 9.63%, rank: 4, size: 0}, {symbol: EEM, close: $66.91, return percentage: 28.65%, sma200: $62.02, atr20: $0.95, p90 percentage: 10.72%, rank: 1, size: $89.95}, {symbol: GLD, close: $398.36, return percentage: 17.31%, sma200: $416.16, atr20: $8.00, p90 percentage: 16.79%, rank: null, size: 0}, {symbol: TLT, close: $81.78, return percentage: -5.34%, sma200: $84.38, atr20: $0.67, p90 percentage: 6.15%, rank: null, size: 0}, {symbol: BTC/USD, close: $76,356.68, return percentage: -34.46%, sma200: $70,340.00, atr20: $2,087.11, p90 percentage: 36.80%, rank: 6, size: 0}, {symbol: ETH/USD, close: $2,445.72, return percentage: -46.74%, sma200: $2,067.50, atr20: $93.72, p90 percentage: 42.54%, rank: 7, size: 0}]. The conclusion is that the initial EEM, QQQ, and IWM are unchanged since 04UTC, while GLD and TLT are below their SMA, and crypto has lower ranks despite being above SMA. There is no repeated momentum validation, and no monthly turnover is implied. The sizes are contingent on the actual entry and state refresh during regular trading hours. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars and /data/crypto-bars, and the definitions can be found at https://docs.alpaca.markets/us/reference/stockbars. The data includes dividend, split, and spinoff adjustments, and is a total-return proxy, with independent reinvestment not reconstructed. There are 2,692 ETF bars and 2,086 crypto bars. Revised old history and one-provider errors remain possible.
The automated trading fund manager completed signals for nine assets on September 18. The premises for these signals are: the Alpaca SIP adjustment checked all ETF and crypto bars for unique timestamps and OHLC, or open, high, low, and close prices, which is a measure of the high and low prices of a security over a given time period; the check was completed through September 17, but partially excluded September 18; and the query trades were empty, with no queues, and the EEM exclusion was removed. The method used to calculate the signals included 252 and 365 day return intervals, a simple moving average of 200 days, an arithmetic true range of 20 days, and a 90th percentile rolling 60 bar percentage gain with endpoints since September 18, 2021. The adjusted close total return proxy was used, but reinvestment was not independently reconstructed. The results are shown in the following table: the table lists the symbols SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD, along with their dates, close prices, return percentages, simple moving averages, true ranges, 90th percentile percentages, ranks, and sizes. For example, the symbol QQQ had a close price of 716.92, a return percentage of 21.85, a simple moving average of 661.24, a true range of 8.32, a 90th percentile percentage of 16.17, a rank of 2, and a size of 103.11. The initial allocation was made with no monthly churn, and negative crypto annual return was not a separate filter, but rather affected the ranks. GLD and TLT were below their simple moving averages. The ETFs had 2692 bars of data starting from January 4, 2016, despite a request for data from 2000, and the crypto data had 2086 bars starting from January 1, 2021. There was no repeated strategy validation. The sources of the data were https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/crypto-bars. The sizes were conditional, but the actual fills were zero.
The automated trading fund manager completed a nine-asset momentum signal table at 21UTC. The premises of this table are: 1) all ETF and crypto bars have unique timestamps and pass checks, 2) completed ETFs are from September 11 and crypto from September 12, with unfinished ones from September 13 excluded, and 3) the manager's own ledger is empty and the Core EEM queue is excluded. The method used to create the table involves: 252/365 return intervals, a 200-day Simple Moving Average (SMA), arithmetic Total Return (TR) over 20 days, and 90th percentile (P90) rolling 60-bar percentage gains since September 13, 2021, at midnight. The table shows the following assets: SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD. The table includes data such as the symbol, number of bars, date, close price, return, SMA, Average True Range (ATR), P90, high price over 20 days, rank, and size. The initial complement of QQQ, IWM, and EFA remains unchanged. The negative annual crypto return is not a separate filter, but both crypto assets rank below the selected slots. The sizes are conditional, and orders are zero due to the regular-session closure on Sunday. The strategy validation is not repeated under the specific mandate. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/crypto-bars.
A signal table for nine assets was completed at 19:41 UTC. The table is based on three premises: first, that all ETF and crypto daily bars have passed checks for duplicate timestamps and OHLC, or open, high, low, and close prices, which are the four prices used to plot a stock's price movement over time. Second, that the data for ETFs ends on September 11 and for crypto on September 12, excluding any unfinished data from September 13. Third, that the queried ledger is empty and the supplied Core queued EEM, which is an exchange-traded fund, is excluded. The table calculates 252/365 interval returns, which is a measure of the return on investment over a specific period, SMA200, which is a simple moving average over 200 days, arithmetic TR20, and P90 rolling 60-bar percentage gains with endpoints since 2021-09-13 midnight. The adjusted closes are used as a proxy for total-return, which means they are used to estimate the total return on investment, and dividend reinvestment is not independently reconstructed. The table includes the following assets: SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD. The data for these assets includes the symbol, number of bars, date, close price, return, SMA, atr, which is average true range, a measure of volatility, P90, high20, rank, and size. The initial eligible complement of QQQ, IWM, and EFA remains unchanged, but no actual orders were placed because the Sunday RTH, or regular trading hours, were closed. The negative annual crypto returns do not add an exclusion beyond the fixed SMA rule, but both rank below the selected slots. The data comes from one provider, and the unchanged observations add no validation evidence, so no new backtest is required by the specific mandate. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/crypto-bars.
The automated trading fund manager has completed nine signals and initial fractional complement as of 16:31 UTC. The premises for this are: 1) all ETF and crypto daily bars have passed unique timestamp and OHLC checks; 2) ETFs are considered up to September 11, crypto up to September 12, and incomplete September 13 data is excluded; and 3) the manager's own ledger is empty and the Core queued EEM is excluded. The method used is based on 252/365 return intervals, adjusted-close total-return proxy, SMA200, arithmetic true-range20, and P90 rolling 60-bar percentage gains with endpoints since 2021-09-13 midnight UTC. A news scan found the table of signals, which includes the following data: SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD. The table shows the symbol, number of bars, date, close price, return, SMA, ATR, P90, high20, rank, and size for each. For example, QQQ has a close price of 714.88, return of 23.69878183831673, SMA of 659.2565, ATR of 7.868424999999997, P90 of 0.1616958533244174, high20 of 734.58, rank of 2, and size of 104.34. QQQ, IWM, and EFA remain the initial complement. The manager notes that an annual negative return is not an extra exclusion if the stock is above its SMA. The first request with current-time end returned 403, but the completed-day end succeeded. Midnight date normalization preserves the prior target sample, and intraday timestamp cutoff would incorrectly discard the first date. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/crypto-bars. The manager also notes that the specific validated mandate requires no new strategy backtest.
The automated trading fund manager refreshed momentum signals at 13:51 UTC. The manager made three assumptions: first, that all ETF and crypto daily bars have unique timestamps and pass checks for open, high, low, and close prices, which is a set of numbers that show the range of prices for a security over a certain period of time. Second, that data for ETFs is complete up to September 11 and for crypto up to September 12, but not including September 13. Third, that the manager's own ledger is empty and that a pending Core transaction for EEM, which is an exchange-traded fund, is excluded. The manager used a method that calculates the total return of a security over a 252-day period, adjusted for the number of days in a year, and also calculates the average price over the last 200 days, known as the simple moving average or SMA, the average true range, which measures the range of prices, over 20 days, and the percentage gain over a 60-day period. The manager also used a rolling 60-bar percentage gain, which means the gain over a 60-day period, and the 90th percentile, or P90, of this gain over the last 5 years. The manager did not reconstruct dividend reinvestment, which is when dividends are automatically reinvested in the security, independently and used data from one provider. The signal table shows the results for several securities, including SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD. The table includes the symbol, number of bars, date, close price, return, SMA, average true range, P90, high price over 20 days, rank, and size. The size is conditional and the rank is above the SMA without an additional positive annual return gate. The manager found that QQQ, IWM, and EFA were unchanged. The data came from two sources: https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/crypto-bars. The manager did not repeat strategy validation under a fixed mandate, which means the manager did not re-check the strategy under the same rules.
The automated trading fund manager ran a trading analysis on Sunday. The analysis was based on the following premises: the fund used a new stock data source with adjustments for stock prices and cryptocurrency prices, and it checked for unique timestamps and price data. The fund excluded some data from September 11, 12, and 13. It also excluded some trend data and context data. The fund calculated the total return of each asset over a 252/365 day interval, as well as the moving average and volatility of each asset over 20 and 60 day intervals. The results are shown in the following table: the fund analyzed the performance of several assets, including SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD. The table shows the symbol, number of data points, date, closing price, total return, moving average, volatility, and percentage gain for each asset. The fund ranked the assets based on their performance, but did not make any trades because it was a Sunday and the fund's rules require trades to be made during regular trading hours. The fund's initial portfolio remained unchanged. The data used for the analysis came from https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/crypto-bars.
The automated trading fund manager has made some premises, or assumptions, to guide its decisions. These premises include: 1) using fresh and unique data from the Alpaca venue, with 1682 bars per ETF and 2081 bars per cryptocurrency, and passing checks for OHLC, or open, high, low, and close prices; 2) excluding data from September 13 for ETFs and September 12 and 13 for cryptocurrencies; and 3) excluding its own query trades and the current Core EEM queue. The manager uses a 252/365 interval adjusted close total-return proxy, which is a way to calculate the return on investment over a specific period, as well as a simple moving average, or SMA, over 200 days, an arithmetic average true range, or ATR, over 20 days, and a percentage gain over 90 days, or P90, for the last 60 bars, which are all technical indicators used to analyze the data. The manager also looks at the highest price over the last 20 days, or high20. The data is as follows: the SPY ETF has a close price of 764.29, a return of 18.49%, an SMA of 712.05, an ATR of 5.45, a P90 of 0.11, and a high20 of 778.8; the QQQ ETF has a close price of 714.88, a return of 23.70%, an SMA of 659.26, an ATR of 7.87, a P90 of 0.16, and a high20 of 734.58; the IWM ETF has a close price of 288.89, a return of 23.46%, an SMA of 273.17, an ATR of 3.07, a P90 of 0.13, and a high20 of 305.18; the EFA ETF has a close price of 106.7, a return of 19.46%, an SMA of 100.67, an ATR of 0.88, a P90 of 0.10, and a high20 of 108.89; the EEM ETF has a close price of 67.84, a return of 34.20%, an SMA of 61.76, an ATR of 0.95, a P90 of 0.11, and a high20 of 69.13; the GLD ETF has a close price of 398.77, a return of 18.94%, an SMA of 415.93, an ATR of 7.95, a P90 of 0.17, and a high20 of 429.42; the TLT ETF has a close price of 80.87, a return of -5.76%, an SMA of 84.50, an ATR of 0.69, a P90 of 0.06, and a high20 of 83.28; the BTC/USD cryptocurrency has a close price of 77266.39, a return of -33.45%, an SMA of 70095.07, an ATR of 2335.03, a P90 of 0.37, and a high20 of 82233.50; and the ETH/USD cryptocurrency has a close price of 2525.05, a return of -46.43%, an SMA of 2055.83, an ATR of 94.40, a P90 of 0.43, and a high20 of 2664.85. The QQQ, IWM, and EFA ETFs remain the top eligible complement, and the negative annual crypto returns are ranked without inventing a positive-return filter. The proposed sizes are conditional, but no actual orders were placed, and the session is closed. The specific mandate says no repeat momentum validation, no new backtest, and no duplicate static Monte Carlo. The data comes from https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/crypto-bars, with one provider and dividend reinvestment not independently reconstructed.
A news scan found the headline '06UTC refreshed fixed signal table: QQQ/IWM/EFA unchanged'. The premises of this update are: 1) there are fresh provider bars, 1682 per ETF and 2081 per crypto, with no duplicates and passing OHLC checks; 2) the update only includes data up to September 11 for ETFs and September 12 for crypto; and 3) there are no trades in the query and Core EEM is queued. The update calculates the 252/365 interval adjusted return proxy, SMA200, arithmetic ATR20, and five-year rolling 60-bar P90. The table shows data for the following symbols: IWM, QQQ, SPY, EEM, EFA, GLD, TLT, BTC/USD, and ETH/USD. The conclusion is that QQQ, IWM, and EFA complement each other, with no new positive-return filter and no lower crypto substitute. Proposed sizes are conditional on entry and equity stress checks, and only regular-session market notional is considered. GLD and TLT are below their SMA, and EEM is excluded. There is no edge rebacktest per fixed mandate. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/crypto-bars.
The premises for this signal table are: 1) the completion of the September 11 ETFs and September 12 crypto data, with all checks passed; 2) an empty ledger; and 3) the use of 252/365 interval adjusted returns, Simple Moving Average 200 (SMA200), and other calculations since September 13, 2021. The table shows data for various symbols, including GLD, IWM, QQQ, SPY, EEM, EFA, TLT, BTC/USD, and ETH/USD, with details such as close price, return, SMA, and size. For example, QQQ has a close price of 714.88, a return of 23.69878183831673, and a size of 104.34. The selected symbols are QQQ, IWM, and EFA. GLD and TLT are below their SMA. SPY, BTC, and ETH are not substitutes due to their lower returns. The sizes have been revised based on a separate intraday stress analysis, not due to a change in momentum evidence. The data sources are https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/crypto-bars. There is no edge backtest under an explicit validated mandate, and no orders were placed during the closed regular session.
The automated trading fund manager has completed its analysis as of September 11 for ETFs and September 12 for cryptocurrencies. The analysis involved checking the high, low, open, and close prices of the assets, and it passed all these checks. The manager also checked the rank of the assets based on their close price compared to their simple moving average over 200 days, and their return over 252 and 365 days. The manager used a measure called arithmetic average true range, or ATR, to assess the volatility of the assets. The results are as follows: the fund considered nine assets, including SPY, QQQ, IWM, EFA, EEM, GLD, TLT, BTC/USD, and ETH/USD. The table shows the symbol, number of bars, date, close price, return, simple moving average, ATR, and rank for each asset. The assets QQQ, IWM, and EFA have proposed sizes of 96.44, 96.45, and 96.45 respectively. The asset EEM has the highest rank of 1 but is excluded from the Core queue. The assets GLD and TLT are below their simple moving average. The assets SPY, BTC/USD, and ETH/USD have lower ranks. The analysis did not include any extra filter for positive returns. The scope of the analysis includes developed and emerging international markets, as well as Bitcoin and Ethereum, but excludes single names and other countries or coins. The proposed sizes are for reference only and do not constitute an order. The analysis used data from https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/crypto-bars.