trading best practices

This skill ensures that trading implementations follow current best practices and avoid common pitfalls in algorithmic trading. It includes mechanisms to stay updated with the latest financial research and market structure changes.

| Curve fitting | Strategy works on past but fails live | Walk-forward testing, simplicity | | Ignoring costs | Profitable backtest becomes losing live | Include realistic commissions + slippage | | Revenge trading | Emotional decisions after losses | Automated rules, circuit breakers |

| Over-leveraging | One bad trade wipes account | Fixed fractional position sizing | | No stop loss | Small loss becomes catastrophic | Always use stops based on volatility | | Ignoring correlation | Diversification illusion | Monitor sector/asset correlation |