From ML Signals to Live Trades

An ML model outputs discrete trading signals: $-1$ (short), $0$ (neutral), and $+1$ (long). 1. Describe how you would convert these signals into actual trade executions -- including position sizing, order type, and execution timing. 2. What risk management controls would you layer on top? Discuss at least four distinct risk dimensions.