Crash Course - Python & Pandas for Trading and Investing (Part 3)

40+ hours in the making. Custom functions and visualizations. 3-D variable interactions. 

Learn how to:

• Create a function for backtesting trading strategies while considering slippage as f(ATR)

• Incorporate a stop loss and profit target

• Calculate performance metrics like MFE, MAE, & volatility-adjusted returns

• Assess a strategy’s sensitivity to its sequence of trades