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stock-recommendation

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This project is a Stock Market Recommendation built using Streamlit. It provides functionalities for time series forecasting and technical analysis. The dashboard includes features such as: Time Series Forecasting: Utilizes Facebook's Prophet library to predict future stock prices based on historical data.

  • Updated Dec 19, 2024
  • Python

The Personalized Stock Investment Advisor leverages machine learning to recommend stocks based on user preferences and market data, helping users make informed buy, hold, or sell decisions for optimized portfolios.

  • Updated Nov 10, 2024

A machine learning pipeline that combines financial fundamentals and historical stock trends to deliver more informed stock recommendations for London-listed companies.

  • Updated Oct 1, 2025
  • Python

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