Technical_Indicator_Analysis_ML
Unverified ML strategy on Indices by ccroft6. BotFinder score 18 out of 100.
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
Source: github
BotFinder analysis pending.
Technical_Indicator_Analysis_ML
--- Technical Indicator Analysis Using Machine Learning Models To Improve Algorithmic Trading Strategies LAUNCH APP: https://share.streamlit.io/lariannrupp/machinelearningalgorithmictradingbot/main/streamlit.py --- Purpose: The purpose of the Project is to create a streamlit dashboard; which given a specific stock, performs a comparative analysis of machine-learning model design in a testing environment. It is called the "Technical Indicator Analysis with ML". The dashboard demonstrates the framework for a more powerful terminal that can take a stock and design a machine learning model for it. --- Installation Guide The app is deployed to a Streamlit interface, so to use the app, no installation is required. Simply launch the link at the top of the README. To run it from local computer, clone repo. From the Terminal, activate conda envirnoment; change directory to repo folder, and type streamlit run streamlit.py. This will launch a web browser with a local URL such as http://localhost:8501. Note that you will need to install some libraries/dependencies if you do not already have them
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