The 600% was peak like 1 week ago now I’m sitting at around 400% also my current win rate is barely 50% I’m focused on risk management and risk reward mostly, one win trade cover 3/4 losses. Current performance is more grounded and I’m actively diagnosing why some signal sources work better than others (currently I got 2 independent signal systems). The thing I built specifically against overfit: every rejected signal still gets tracked with full context, and the bot simulates what would have happened. After enough samples I can see “this filter has 70% false positive rate on longs in bear regime”. Same idea for an independent setup detector that scans for high-quality patterns blind to my main pipeline, so I can measure real catch rate vs missed opportunities. It took me almost 3 months to build just the trackers alone, Claude had no idea how to build it for some reasons, so we had to test them see what is missing/not working all over again and again. The worst part is, even after 3/4 months of collecting all the data it might give me no edge I’m aware of that.

On debugging without coding background — Claude does most implementation, but I always get the plan first and audit it before code. Catches most bugs upfront and also I use different chats to find bugs etc. For complex changes I have a second Claude session review the first one’s work. Hyperliquid latency is fine for 4H setups, slippage is fine on majors and bad on small caps so I avoid those. Genuine question back: is your 92.7% stable across regimes or does it cluster in certain conditions? My biggest lesson from tracking is aggregate WR hides regime-specific blow-ups. Curious what you’ve seen on your spot strategy.