Udacity - AI for Trading Nanodegree Program
- Build a fairly realistic backtester that uses the Barra data.
- The backtester will perform portfolio optimization that includes transaction costs, with computational efficiency in mind, to allow for a reasonably fast backtest.
- Use performance attribution to identify the major drivers of the portfolio's profit-and-loss (PnL).
- Modify and customize the backtest.