Python for finance applied to market breadth analysis

Python for Finance applied to market breadth analysis shows that 74% of NYSE listed stocks are trading above their 50-day moving averages. This breadth strength suggests underlying bullish momentum, particularly in energy and utilities, supported by rising crude prices. He describes his relationship today with Cleese as “poor” and noted it “started to go a bit south during lockdown, and I got worried. I haven’t seen him for eight years. I think when you lose touch with people face to face, all sorts of things can happen. It’s a pity. Along the way, I utilized a variety of resources to deepen my knowledge of financial instruments, quantitative development, software engineering best practices, C++ programming, and Python-based algorithmic trading. I also worked extensively on back testing frameworks, Monte Carlo simulations, data visualization, and asset-pricing models. The latest Python for Finance Monte Carlo simulations suggest biotech stocks could see 9%-12% price swings over the next month as FDA approvals approach. Probability distributions point toward upside moves given stronger-than-expected clinical trial outcomes.