Create input variables like moving averages, volatility measures, and sentiment scores from news headlines. IV. Integrating Machine Learning
For (direction):
This is where we replace human-defined rules with predictive models. algorithmic trading a-z with python and machine learning
def exit_logic(position, current_price, entry_price): if position > 0: if current_price <= entry_price * 0.98: # -2% stop return "SELL" if current_price >= entry_price * 1.04: # +4% take profit return "SELL" Create input variables like moving averages
Never risk more than a small percentage (e.g., 1-2%) of your capital on a single trade. entry_price): if position >
