A 70% win rate sounds impressive. But would you still choose that strategy if it was losing money? I used @tryquantio AI to compare two hypothetical trading strategies, and the result was interesting. Strategy A • 70% win rate • Average win: +$100 • Average loss: -$300 • Expectancy: -$20 per trade Strategy B • 40% win rate • Average win: +$300 • Average loss: -$100 • Expectancy: +$60 per trade Strategy B wins less often, yet has a much stronger mathematical edge. Quant AI also highlighted three things worth checking beyond win rate: • Risk/reward ratio • Break-even win rate • Fees, slippage and potential drawdowns The lesson is simple: being right more often doesn't automatically mean making more money. I think expectancy deserves more attention when evaluating a trading strategy. A high win rate can look attractive while hiding poor risk/reward. This is why I use Quant AI to look beyond the headline numbers. Explore it here: https://t.co/ZOb5TRt9XI @tryquantio #QuantAIPioneers