38.8% Win Rate, +21.83% P&L: Why Being Wrong Most of the Time Still Prints Money
TradeClaw went live 2 days ago. Here are the real numbers. The Numbers Metric Value Total Signals 354 Resolved 103 Win Rate 38.8% Avg P&L per Signal +0.21% Total P&L +21.83% Starting Balanc...

Source: DEV Community
TradeClaw went live 2 days ago. Here are the real numbers. The Numbers Metric Value Total Signals 354 Resolved 103 Win Rate 38.8% Avg P&L per Signal +0.21% Total P&L +21.83% Starting Balance $10,000 Current Balance $12,183 Max Drawdown -10.66% Sharpe Ratio 2.5 38.8% win rate. Looks bad on paper. +21.83% total P&L in 48 hours. Looks less bad. The Point Most people obsess over win rate. They want to be right. They want 70%, 80%, 90% accuracy. TradeClaw doesn't try to be right. It tries to be asymmetric. The system cuts losers fast and lets winners run. When it's wrong, it loses small. When it's right, it captures the full move. That math works even when you're wrong more than half the time. This is not a new idea. It's how every serious edge works. But most AI trading tools still optimize for accuracy instead of risk-adjusted returns. They chase win rate because it looks good in a demo. It doesn't survive real markets. What TradeClaw Actually Does It's an open-source AI tradi