Skillcloud Trader Project – Part 3

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About Course

This is part three of the Skillcloud Trader Project, where you will learn the steps involved in setting up a complete trading strategy. We divide this into three parts:

  1. Backtesting a simple trading strategy with Python and Pandas.
  2. Creating a backtesting dashboard where we can analyze the strategy in more detail.
  3. Setting up the strategy for live trading. 

Course Content

Backtesting a simple timing strategy for S&P 500 with Python and Pandas.
In this section you will learn how to use Python and Pandas to set up a backtest for a simple trading strategy. We will use some basic mean reversion assumptions to try and time the index and improve the risk adjusted return compared to buying and holding the index. You will use the Interactive Brokers connection from Part 2 of this series to download historical data. Then you will use Pandas to apply the trading rules and calculate the equity curve.

  • Video

Building a dynamic web dashboard for the backtest

Setting up the strategy for live trading

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