You will need the following to perform this tutorial:
- AlgoBulls Account (Link) - You will need this account to upload and test your strategies. The account needs to be setup with the proper risk management values and a binded broker before any trades can be excecuted. Make sure the account is properly setup or contact AlgoBulls Support for any help.
- Python 3.7+ (Link) - The AlgoBulls platform can run all strategies that conform to Python 3.7 and above.
- A Python IDE of your choice, like Pycharm (Link) - As mentioned in the [Introduction], this tutorial will demonstrate the pyalgotrading package by implementing the Simple Moving Average Crossover Strategy for Regular Orders. You will make this strategy as a separate python file, and the PyCharm Community Edition IDE is enough for this purpose. If you are already using a Python IDE of your choice, you may skip this step.
- TA-Lib Package (Link) - This package encompasses all Technical Indicators used in Technical Analysis by strategists. You will need this package to compute Moving Average (SMA) for the example.
- pyalgotrading Package (Link) - This package has all the necessary classes to create strategies. For the SMA strategy, you will subclass your class from the StrategyBase class which is present in this package.
- Jupyter Notebook (Link) - You will use a Jupyter Notebook to connect to the AlgoBulls platform. You will upload the strategy, test your strategy (Backtest, Paper Trade, Real Trade), and fetch logs using the notebook.
- It is a good idea to setup a virtual environment first
- Install Python 3.7+
- Once Python is installed, most packages are easily installed in your venv using
pip install TA-Lib
pip install pyalgotrading
pip install jupyterlab