ccroft6/Technical_Indicator_Analysis_ML
Test combinations of up to 54 technical indicators and 4 machine learning models to compare and determine the best model to apply to a chosen stock for algorithmic trading purposes.
This tool helps financial traders and analysts improve their algorithmic trading strategies. It takes historical stock data (like Open, High, Low, Volume, Close) and lets you test different combinations of up to 54 technical indicators with 4 machine learning models. The output shows which model and indicator combination performs best, helping you design more effective trading bots.
No commits in the last 6 months.
Use this if you want to compare various technical indicators and machine learning models to optimize your algorithmic trading strategies for a specific stock.
Not ideal if you're looking for a fully-fledged trading bot or a tool for real-time trading execution.
Stars
11
Forks
7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 14, 2022
Commits (30d)
0
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