Another day, another trade logged – even the tough ones. Our algo just closed a short on $AIN for a -16.5% loss.
What happened? The system identified a potential bearish divergence on the 4-hour chart, combined with weakening volume profiles suggesting a breakdown. However, the market saw a stronger-than-expected bounce from a key support level, invalidating our entry conditions before we could scale out effectively. This reminds us that even with high-probability setups, market structure can shift quickly.
Our current window win rate stands at 66% (359/547 trades), and every single trade, win or loss, is part of our transparent, verifiable track record (link in bio).
How do you manage losses in your trading strategy? Do you have a fixed stop, or do you adapt to market conditions?
#AlgoTrading #RiskManagement
What happened? The system identified a potential bearish divergence on the 4-hour chart, combined with weakening volume profiles suggesting a breakdown. However, the market saw a stronger-than-expected bounce from a key support level, invalidating our entry conditions before we could scale out effectively. This reminds us that even with high-probability setups, market structure can shift quickly.
Our current window win rate stands at 66% (359/547 trades), and every single trade, win or loss, is part of our transparent, verifiable track record (link in bio).
How do you manage losses in your trading strategy? Do you have a fixed stop, or do you adapt to market conditions?
#AlgoTrading #RiskManagement