Simple SMA Crossover Strategy — Quant Project

This project implements a basic moving average (SMA) crossover strategy using Python.

🛠 Tools Used

• Python
• yfinance for data
• pandas for data manipulation
• matplotlib for plotting

Strategy Logic

• SMA10 (fast) vs SMA50 (slow)
• Buy when SMA10 > SMA50
• Sell when SMA10 < SMA50

Features

• Retry logic for rate-limited API
• Buy/sell signal detection
• Portfolio growth backtest
• Final chart saved as image

Output