Nikhil-Kumar-Patel/Hidden-Makov-Model
Hidden Markov Models in stock price forecasting.
This tool helps financial professionals, like traders and portfolio managers, predict stock prices using historical NIFTY 50 index data. It takes past stock price information and outputs forecasts, allowing users to anticipate market movements. The primary goal is to help those who need to make informed decisions about buying, selling, or holding stocks.
No commits in the last 6 months.
Use this if you are a financial analyst or trader looking to apply and compare different statistical and machine learning models, particularly Hidden Markov Models, for stock price forecasting to aid your investment strategies.
Not ideal if you need a real-time trading system or a production-ready financial application, as this project focuses on model comparison and analysis rather than deployment.
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Last pushed
Sep 11, 2024
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