Researched and developed a mathematical trading strategy using dual-algorithm logic for financial markets. The approach combines trend detection with volatility filtering to optimize buy/sell decisions based on historical price data. Technologies used: Python, Pandas, NumPy, Matplotlib Topics covered: Backtesting, Quantitative Analysis, Financial Algorithms