Parameter Optimization

Many parameters within the backtesting algorithm are weights that and used for calculating the theoretical returns. The goal of this optimization problem is maximize both accuracy and return. Currently, a strategy called Sequential Least Squares Programming (SLSQP) is being used optimize a provided a set of parameter weights. This functionality is built into scipy and can called using scipy.minimize.