A Python library for financial data analysis and portfolio management
Project description
QuantKit
QuantKit is a Python-based financial data analysis toolkit designed to provide user-friendly tools for analyzing stock market data.
The library integrates data from Yahoo Finance and Alpha Vantage APIs to fetch historical and real-time financial data. It includes a wide range of technical analysis indicators such as Moving Averages, RSI, MACD, OBV, and the Stochastic Oscillator.
Features to be Added Shortly: -Portfolio Analytics: Tools for calculating risk metrics, returns, and portfolio optimization. -Comparative Analysis: Functions to compare the performance of multiple stocks or sectors over various time frames. -Interactive Visualizations: Integration with libraries like Plotly for dynamic and interactive charting of financial data. -Machine Learning: Incorporating linear regression and LSTM neural networks for predicting future stock prices.
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