FinML: A Practical Machine Learning Framework for Dynamic Stock Selection
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Feb 27, 2024 - Jupyter Notebook
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stock-recommendation
Here are 7 public repositories matching this topic...
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Apr 5, 2021 - Python
Challenges for VIT Hack
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Oct 5, 2020 - Jupyter Notebook
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.
machine-learning ml collaborative-filtering stock-market recommendation-system recommender-system recommender-systems stock-management finance-management content-based-recommendation investment-strategies coldstart stock-management-system stock-manager stock-recommendation buy-sell-stocks
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Nov 10, 2024
FinCredible is a comprehensive finance platform designed for investment enthusiasts. It aggregates personalized financial news, supports stock portfolio management, provides machine learning-driven stock recommendations, and offers real-time market analysis, empowering users to make informed investment decisions.
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Nov 10, 2024 - JavaScript
Stocks Recomendation System for Portfolio Optimization
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Dec 31, 2022 - Jupyter Notebook
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.
machine-learning ml stock lstm stock-market stock-price-prediction lstm-model decision-tree-classifier lstm-neural-networks streamlit stock-recommendation
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Dec 19, 2024 - Python
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