`nCrOptimize` to `BtEngine` pipeline

[GongJr0]

Implement a pipeline to collect the best portfolio from a nCrResult object and automatically run a backtest by passing the investment parameters through nCrOptimize to the BtEngine object.

Pipeline Steps

• Investment parameter and best portfolio retrieval
• BtEngine initialisation with portfolio weights and investment parameters
• BtEngine.run() with a preselected strategy (proposed default strat: "rsi_ewma")
• Implement a BtResult object to store and append the backtest results to the HTML report generated by nCrResult
• Record data on instance memory or external cache, use IPython.display to render the HTML report in a jupyter environment