Automated market data processing, paper trading execution engine, and real-time webhook signaling system built with Python and FastAPI.
The Algorithmic Trading Automation System is a quantitative execution pipeline for real-time market data analysis, paper trading, and automated notifications.
An algorithmic trading automation pipeline designed to ingest real-time market data feeds, evaluate quantitative rule sets, execute paper trades, and dispatch instant execution alerts to communication channels.
Manual trade execution suffered from latency and execution errors during volatile market conditions, necessitating an autonomous rule-based engine.
Developed a containerized Python service utilizing asynchronous WebSockets for live ticker streaming, automated risk management calculations, and webhook dispatching.
Achieved automated 24/7 market monitoring with sub-100ms rule evaluation and paper trade logging.
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