Python / Data Science Stock Market Personal Project
• Developed a bot in Python performing web scraping of all financial statements data from all major US stock exchanges, cleans and homogenizes relevant data, and discards incomplete data, making clean data comparable across common KPI's.• Screens patterns in more than 6,000 stocks and performs Fundamental Analysis to determine which stocks are fundamentally solid investments and what is the right price with respect to its Intrinsic Value.• Currently backtesting Technical Analysis patterns across multiple variables to determine success probability at current price using mid-term buy/sell strategies on fundamentally solid stocks tested over at least 20 year records using Machine Learning, Deep Learning and other Artificial Intelligence algorithms, pursuing model accuracy improvements, either fine-tuning parameters or selecting other algorithm for better results.