Use AI every day to train AI, deeply review and optimize the existing strategy, then hand it over to AIX to execute and run it. Compared with the data from 2026/07/11 10:07 last time: previously there were 28 trades, 10 wins and 18 losses, net profit/loss -2.30U, and the profit factor was 0.9405. Now it has changed to 36 trades, 18 wins and 18 losses, net profit/loss +24.03U, and the profit factor is 1.86. That means the 8 additional trades overall contributed about +26.33U—this improvement is very clear. My current assessment is: the new module plus the prompt combination direction is correct. Recently, the decisions also haven’t been randomly chasing—for example, right now BTC/ETH/BNB/SOL are all WAIT. The main reason is that although the bearish direction is strong, the 15M hasn’t been confirmed yet and the RSI is already extremely oversold, so we don’t short. This matches the core you required earlier: find the right entry/exit points, avoid going in and immediately being at a floating loss, and don’t force openings just to place trades. So the current recommendation is: keep running, don’t change the strategy, don’t add multipliers. The current sample has just started to turn better; what matters most now is to keep accumulating sample size, using this current set as the benchmark: 36 trades / net profit/loss +24.03U / profit factor 1.86 / maximum drawdown 1.35%. In the next review, the focus should be whether the newly added trades continue to keep losses small and controllable, can still capture larger wins, and don’t chase rallies or liquidate into downturns.