This project analyzes Apple Inc. (AAPL) stock prices using historical data from Yahoo Finance. It includes data visualization with candlestick charts and predictive modeling with an LSTM network.
calculate stock target price using DCF model.
Mercado Search Trends & Stock Analysis with Prophet
Investment Portfolio Builder is a Python library that provides portfolio optimization methods, including classical mean-variance optimization techniques, Black-Litterman allocation, and more recent developments like shrinkage and Hierarchical Risk Parity.
This project aims to create a user-friendly stock analysis dashboard using Python and the Streamlit library. By leveraging the YFinance library, we fetch historical stock prices, calculate various technical indicators, and visualize trends in an interactive manner.
Insider trading activity with buy/sell volumes for each quarter and Social Sentiment for your selected stock
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