Stock Trading App
Developed a SMA crossover strategy that gives buy/sell signals. It was implemented in Python, analyzing historical data, tracking the market in real-time, and executing trades.
About
The problem it solves Automated Decision-Making Real-Time Market Tracking Backtesting & Optimization Risk Management
How it's made
Challenges we ran into Handling Noisy Market Data Optimizing Execution Speed for Real-Time Trading Managing API Rate Limits & Connectivity Issues