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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.

Created on 5th February 2025

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S

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.

The problem Stock Trading App solves

Automated Decision-Making Real-Time Market Tracking Backtesting & Optimization Risk Management

Challenges I ran into

Handling Noisy Market Data Optimizing Execution Speed for Real-Time Trading Managing API Rate Limits & Connectivity Issues

Technologies used

Cheer Project

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