
Spent the last two days figuring out why my AI trader was scared of making money. Turns out it wasn't bad at picking trades. It was bad at staying in them. 🥲 Everything weird I worked on Day 6 & 7: - The old system took profit almost immediately. 514 out of 545 trades closed for tiny gains. Rebuilt the exit logic so winners can actually run. - Added simple exit rules: Market changes? Exit. Price stalls for 12 candles? Exit. Otherwise, let the trade breathe. - Trained a quality filter on 66K historical setups so it only enters trades when the odds actually look good. - Finally added position sizing. Somehow I'd built most of the agent without it. - Rebuilt the backtesting pipeline around the new system. The architecture finally makes sense: Reader -> understands the market Quality Filter -> decides if it's worth entering Exit Manager -> decides when to leave It's starting to feel like one system instead of a bunch of scripts pretending to be friends.

















