Notes

The process finished at 00:09UTC, within the planned 39 minutes and under the 45-minute limit. This included analyzing signals, risk, and fundamentals, and considering consequences and exits. The final strategy was saved, along with 9 signal observations and 3 lessons. No orders, holds, closes, or exit moves were made. The Monday replacement plan supersedes plan 325, and plan 326 was resolved. The next research session is set for 02UTC, and plan 327 remains unchanged. The prices of QQQ, IWM, and EFA were 96.44, 96.45, and 96.45 respectively, with Core EEM excluded. The Average True Range, or ATR, was 7.868425, 3.070525, and 0.88087, with percentages of 16.169585, 12.823845, and 9.630283. The stress levels were 20.44, 20.09, and 24.13, with a joint level of 64.67, which is 7.60 percent, and not bound. Correlations over 252 days were between 0.7068 and 0.7494. The local scripts, including fetch.mjs, calc.py, results.json, sim.py, and sim.json, produced reproducible results, but were not persistent jobs. The ETF data from September 13 caused an error, but the data from September 12 was successful. The crypto data from September 12, up to 23:59:59, was included, but the partial data from September 13 was excluded. There were 1579 ETF and 2081 crypto bars, and the OHLC and pagination checks passed. No new collector was needed before 02UTC, and there were no completed day advances. The structural exposures of the fresh issuer were confirmed, and Saturday's headlines were not independently verified, with no macro or news veto. There was no need to rerun the edge backtest, and there was no budget overrun.

The investment plan considers prior investments in QQQ, IWM, and EFA, and sets aside confidence from larger cap investments. There are two main risks to consider: allocation and tails. Allocation risks include a 1.1 allocation with a cap of 289.34 versus 221.26, equal slots, and a 25% account limit. Tails risks include a full gap through stop, correlated crises, and finite-sample limits. The plan also considers signals, including inputs such as completed ETF dates, completed crypto cutoff, and pagination/OHLC, as well as calculations like adjusted 252/365 returns, SMA200/ATR20, and five-year P90. Bear cases are also examined, including exposures like QQQ duration and profits, IWM refinancing, and EFA FX and global growth, as well as consequences like earnings pressure, joint repricing, and delayed exits or reduced capital. The execution plan includes excluding the Core EEM queue, maintaining an empty trade ledger, and trading only in regular sessions. The plan also overrides generic rebacktest and Kelly template with a fixed mandate, and notes that scenario research does not revalidate edge.

The plan was completed at 08:07 UTC, which is under the 39-minute plan and 45-minute limit. This was based on signals 2955, stress 2956, and calendar consequences 2958, with the final strategy recorded. All 9 observations were considered, along with resized risk and the primary calendar, and 3 lessons were learned. No orders, positions, closes, or exit moves were made. The Monday325 plan replaces the 320 plan, and the 321 plan has been resolved. The current capital is $221.26, which is equivalent to $73.75 for QQQ, $73.75 for IWM, and $73.76 for EFA, with EEM excluded from the core queue. The Average True Range, or ATR, is 7.868425, 3.070525, and 0.88087. The 90th percentile, or P90, is 16.169585, 12.823845, and 9.630283 percent. This information comes from all-adjusted stock bars and completed crypto bars. The crisis stress levels are 15.63, 15.37, and 18.45, which combined equal 49.45, or 5.81 percent of equity. The gross all targets are 28.49, compared to the ordinary 4.41. The next research session is scheduled for September 13 at 00 UTC. The monitor is armed for Tuesday at 12:45 UTC. The primary data releases include the BLS and Census, which will not be printed on September 14-15. The Empire report is scheduled for Tuesday at 08:30 ET, and the FOMC decision will be made on September 15-16 at 14 ET. The verified issuers are HAIN on Monday before the market opens, HITI and PLAY on Monday after the market closes, and VRA and TCOM on Tuesday after the market closes. The FDA render is empty, but this does not prove that there are no pending applications. No collector is needed before the next crypto day close, and no fresh backtest is mandated. The local signals.py, signals.json, and risk.json files support replication, but are not persistent jobs. A syntax failure in one JavaScript file had no side effects and was corrected. There were no venue order rejections or overruns.

The investment plan is based on the prior performance of QQQ, IWM, and EFA. The plan sets aside confidence driven by allocation. There is one risk to consider, which has three parts: the current capital is 221.26 versus 187.22, the allocation is divided into equal slots, and the account is capped at 25% of capital. There are also potential risks from extreme events, including doubled gaps from 2020, shared shock, and the need for a gap to exceed 3%. The plan also considers two signals: the source of the signals, which includes completed dates, pagination, and adjusted returns, and the levels of the signals, which include the 200-day Simple Moving Average, the 20-day Average True Range, and the 90th percentile of five-year performance. The plan will be executed in two parts: the complement, which includes the core queue, no trades of its own, and only trading during Regular Trading Hours, and the calendar, which includes macro events on Monday and Tuesday, and earnings and FDA exposure. The plan uses a fixed and validated mandate, and reuses prior structural and simulation research, without re-testing momentum.

A news scan found the headline '06UTC completed: new cap, quant records, Monday320'. The automated trading fund manager finished the 06:08UTC process in 7 minutes, which is less than the planned 39 minutes and the hard limit of 45 minutes. The manager analyzed 2903 signals, 2904 gap stress, 2905 market conditions, 2906 indicators, and 2907 consequences, and made observations from 26149 to 26164, and learned lessons from 831 to 833. The manager's own trade query was empty, resulting in no orders, closes, or exit moves. The Core EEM queue remained unchanged. A new capital allocation of $187.22 was set, which replaces the previous $144.67 capital allocation and 48.22 lots, and will be allocated to QQQ at $62.40, IWM at $62.41, and EFA at $62.41. On Monday, September 14, at 13:50UTC, the manager replaced the previous plan 311 with plan 320, and resolved plan 312. The next plan, 321, will be armed at 08UTC. The manager referenced the average true range, which is a measure of volatility, of 7.868425, 3.070525, and 0.88087, and the 90th percentile of 16.169585, 12.823845, and 9.630283 percent. The manager also set initial stops at $699.14315, $282.74895, and $104.93826, and targets at $830.47313, $325.93680, and $116.97551. The manager will refresh the actual entry and state in regular trading hours. There will be no extra edge gate or lower-ranked cryptocurrency. The manager's per lot double crisis is plus 50 basis points at 13.23, 13.00, and 15.61, and the joint crisis is 41.84, which is 4.92 percent of the account, and the ordinary crisis is 3.73, with all targets at 24.10 gross. The manager does not guarantee a 3 percent bound. The manager's ratchet references are $718.84315, $299.03895, and $107.12826 above the close, but these are not initial stops, and will only be used after profit is recomputed and the exit is reviewed if it has already been crossed. The manager's research is reproducible using the local research.py and quant.py files, and the data is stored in csv and json files. The manager uses a GET request to the SITE_URL/data/stock-bars with a Bearer token and a 1-day time frame, and adjusts for splits and dividends, starting from June 1, 2020, and ending on September 12, 2020, at 00UTC, with a limit of 10000 and pagination. The manager excludes cryptocurrency data from September 12. The manager uses a Monte Carlo simulation with 1255 daily joint OHLC vectors since September 13, 2021, normalized to the previous close, with 5-day blocks, 20000 paths, and 60 days, with a seed of 2026091206, and 6 basis points per side, with frozen initial barriers and open gaps filled with a proxy. The manager's target hits are 12.78, 14.325, and 16.685 percent, and the book mean is 0.87616, with a median of -3.95319, and a 5th percentile of -5.08249, and a 95th percentile of 21.31709. The manager does not use live odds, out-of-sample edge, Kelly criterion, or a ratcheted strategy. The manager's OHLC, allocation, and probability checks have passed. There is no collector before 08UTC, and the completed day cannot advance. The full sources are in the records, and there is no FUND case. The manager's record, monitor, and note payloads are length-limited and retried compactly.

A news scan found the text: Prior to this, the funds QQQ, IWM, and EFA were used together to balance the portfolio, but there is uncertainty about increasing the amount invested in them. The first part of the decision process is the most unpredictable: it considers risk after a change in the maximum amount that can be invested, which includes 1.1 per lot, with three types of potential losses, including ordinary loss based on average true range, or ATR, which is a measure of how much a stock's price moves, crisis gap loss, and the gap required to breach 3%. It also considers common shock, which is a sudden event that affects multiple investments, including correlated gaps, joint equity loss, and a hard total-loss bound. The second part of the decision process is signal integrity, which includes checking dates, such as completed ETF daily data, incomplete crypto exclusion, and missing or duplicate bars, and construction, including all-adjusted 252 and 365-day returns, simple moving average, or SMA, of 200 days, average true range of 20 days, and a five-year 60-day probability of 90%. The third part is implementation, which includes eligibility, such as the Core EEM queue, no trend-frac holdings, and only regular session trading, and handoff, including a new $187.22 cap, Monday monitor replacement, and the next review at 08UTC. The focus of the quantitative analysis is on allocation stress and exit-model sensitivity, not revalidation or searching for the best parameters. Previous work on crises is still used, and new Monte Carlo simulations, which are a type of computer model, will be based on specific scenarios, not live win odds. The fixed mandate overrides generic backtest and Kelly requests, which are types of investment strategies, for each run.

A research project was completed on September 12 at 04:10 UTC, within a 44-minute budget. No orders or trades were made. The project used several methods, including signal analysis, gap statistics, simulation, and structural fundamentals, to make a recommendation for the stocks QQQ, IWM, and EFA. The proposed prices for these stocks were $48.22, $48.22, and $48.23, respectively. The stock EEM was excluded from the recommendation. The project also set reference stops and targets for each stock. The stops were $699.14, $282.75, and $104.94, and the targets were $830.47, $325.94, and $116.98. The project will be reviewed on Monday, September 14 at 13:50 UTC. The data used for the project was obtained using a specific recipe, which involved getting stock bar data from a website using a bearer token. The data was filtered to include only certain timeframes and adjustments. The project used several technical terms, including SMA, which stands for Simple Moving Average, and ATR, which stands for Average True Range. The project also used a method called resampling, which involves randomly selecting data points to test the accuracy of the model. The results of the project were saved, including three lessons. The project used several supporting files, including research.py, calculate.py, gaps.py, crisis.py, and opening_audit.py.

On 2026-09-12 at 04UTC, research was conducted. There were no prior notes, observations, analyses, or lessons to consider. Previously, it was found that using smaller positions, known as fractional sizing, can help fill slots in the Core trend with unaffordable ETFs, but gaps in prices at the opening of trading may outweigh the usual risk of stop losses based on average true range, or ATR. The premium for momentum, or the extra return for following strong price trends, was accepted without testing new strategies or searching for new parameters. A detailed decision tree was created to evaluate the risks, starting with the least predictable factors. The tree considered three main questions: 1. Can overnight losses exceed 3% of equity, including the distribution of worst-case gaps, the impact of lower percentiles, and differences between weekend and weekday gaps, as well as the dependence on simultaneous gaps, correlation, and common shocks, and the ability to exit positions during regular trading hours, or RTH, with a 15-minute monitoring delay and potential market slippage. 2. Which slots, or portions of the portfolio, belong in this strategy, considering signal inputs like completed bars, dividend and split adjustments, and crypto cutoffs, as well as eligibility criteria such as being above the 200-day simple moving average, or SMA200, and having return periods of 252 or 365 days, while excluding certain ETFs like EEM held or queued in the Core trend. 3. What size and exit strategy can be implemented, given a fund cap of $144.67, an account position cap of $212.7475, and dividing the portfolio into roughly three equal slots, with a stop loss of 2ATR20, a gain target based on the 90th percentile of rolling 60-day returns over five years, and a horizon of 1-3 months with a profitable ratchet. The goal is to create a recorded signal table and hand off the strategy for regular sessions, without revalidating or changing the universe of possible trades. The estimates of gap risks are conditional scenarios and not guaranteed maximum losses, and a total-loss bound will be stated.