jcwill415/Stock_Market_Data_Analysis
Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.
This project helps individual investors or financial analysts easily access and analyze stock market data, specifically for S&P500 companies. It takes stock tickers from Wikipedia and historical price data from Yahoo Finance, processing it to output visualizations and a basic trading strategy. It's designed for someone looking to conduct their own technical analysis and investment decisions without needing to build all the data infrastructure from scratch.
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Use this if you are an individual investor or financial enthusiast wanting to perform technical analysis on S&P500 stocks, visualize performance, and explore simple algorithmic trading strategies.
Not ideal if you require advanced fundamental analysis, complex portfolio optimization, or institutional-grade trading algorithms, as this project is primarily for educational and basic technical analysis purposes.
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Aug 06, 2020
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