Analyzer to find trades using Bollinger Bands, MACD , and Keltner Channels.
The purpose of this repo is to help others possibly find a new way to identify trading entry points hopefully increasing the probability of success with their algo trading.
- Python 3.7.10
- See requirements.txt for a list of libraries to create a virtual environment.
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Download the entire repository
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Open Git Terminal
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Navigate into the repository file path where you stored the files during the download.
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The notebook file should be visible to run.
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Make sure to create a separate virtual environment for the libraries (bookish_fiesta_env).
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Use requirements.txt in the repository to install the libraries using the following commands:
- conda deactivate
- conda create -n bookish_fiesta_env python=3.7.10
- conda activate bookish_fiesta_env
- pip install -r requirements.txt
- If the previous command has errors try:
- conda install -r requirements.txt
*See the Usage section below for instructions to run the notebook.
Project is: in progress
- Jonathan Owens
- LinkedIn: www.linkedin.com/in/jonowens