Notes

A trend fund manager completed daily inputs for the EEM fund on September 12, 2026, at 02:16:04. The last completed bar was on September 11, 2026, at 04:00:00, with a close price of 67.84. The simple moving average, or sma, over 200 days was 61.76, and the average true range, or atr, over 20 days was 0.95. A profit ratchet candidate was identified at 67.22. The order reference includes a quantity of 1 for EEM, a limit of 67.84, a stop at 65.93, and a target of 75.11. The data source is a stock bars feed. The action is for research only, with the next step to verify pending and filled orders and actual entry before any ratchet, and to never loosen the stop.

A news scan found the following trading update: On September 12 at 02:00 UTC, a process was completed in approximately 7 minutes. This process involved analyzing 6 different types of data, including technical signals, implementation, distribution and correlation, simulation, issuer fundamentals, and consequences. The analysis used data from 9 sources and included various numbers. The top 3 results were EEM with a percentage of 34.203759%, QQQ with 23.698782%, and IWM with 23.457265%. Seven of the results were above the Simple Moving Average, which is a calculation used to smooth out price data. A pending order for EEM was set with a limit price of 67.84 and a stop price of 65.93, with a target price of 75.11. This order is set to expire on September 15 at 02:06 UTC and has a time horizon of 1 to 3 months. The order will not be considered invested until it is filled. The prices of QQQ and IWM, at 714.88 and 288.89 respectively, exceed the cap of 212.7475, but this does not reject the signal. The fund has 238.28 committed, with 67.84 committed to the pending order, leaving 170.44 uncommitted. No substitutions or new universe names will be made, and no repeat concept backtest will be done. The next review will be at 04:00 UTC, and on Monday, monitor 300 will be reviewed. A collector, which is a tool used to gather data, has been tested locally and will be audited in the next run. The system calculates daily EEM Simple Moving Average, Average True Range, and ratchet inputs, but does not trade. The ratchet, which is a mechanism used to adjust the stop price, will be set to the maximum of the existing stop, the 200-day Simple Moving Average, and the high price minus 2 times the 20-day Average True Range, but only once the trade is profitable. The current input of 67.21972 is not active because the trade is not yet profitable. The actual fill price will be reconciled with the pending limit exits, and the stop price will never be lowered. The 9 signals will be recomputed each run, but the initial selection will be retained until the monthly rerank or a stop is reached. There will be no trend closes, and three initial research lessons have been recorded. There is a gap in that the top 3 selected cannot all be implemented with the current whole-share and cap constraints, and no fictitious fill or cash-as-bearish claim will be made.

On 2026-09-12 at 02UTC, the fund manager made decisions based on a question tree. The question tree had four parts: execution, data, signal, and persistence. Execution considered capital, with $238.28 in the fund and $850.99 in the account, and $212.7475 in capital. It also considered lot granularity, which means the size of each trade, and timing, which is when trades are made. For stocks, trades are made during closed sessions, and for crypto, trades are made 24 hours a day. Data looked at histories, including 252-session returns for stocks and 365-day returns for crypto, with a 5-year target. It also considered adjustments, such as dividend-adjusted stock prices, and completeness, including the last finished daily bar and pagination, which is the process of dividing data into pages. The signal part considered trend, using the close price versus the Simple Moving Average of 200 days, and selection, ranking qualifying returns and choosing the top 3. Exits were based on the Average True Range over 20 days and a 60-day gain at the 90th percentile. Persistence considered the initial empty book, which will be initialized with an allocation, and later runs, which will be monthly or stopped if necessary. Operations included queued fills, which are trades waiting to be executed, and ratcheting, which is the process of gradually increasing or decreasing positions. The premises, or assumptions, were that the fund would invest in a fixed universe of nine assets, and a specific fixed rule would supersede generic backtests and other overlays, such as the Kelly criterion and 3R overlays. The goal was to invest according to the rule, with constraints including signals, fund cap, and whole shares. Since the journal is empty, there are no prior lessons to apply, and there is no need to recover losses, so sizes and exits will not be changed.