👋 Hi, I'm Deepanshu Goyal
Software engineer and profitable derivatives trader building reliable, market-driven systems.
I build production software for financial markets and I trade them too. Specializing in low-latency trading systems, broker API integrations, and ML-driven strategies with 3+ years of profitable NIFTY F&O trading experience.
Where markets meet engineering
I've been actively trading NIFTY F&O for 3+ years, consistently profitable. This isn't a hobby - it's a discipline that taught me risk management, emotional control, statistical thinking, and why execution matters as much as strategy.
Markets trained my mindset before engineering refined it. I naturally think in terms of worst-case scenarios, failure handling, and performance under pressure. One bad execution can wipe weeks of gains. One unnoticed bug can cause real losses.
That's why I build systems that fail loudly, not quietly. Systems where correctness, latency, and reliability aren't optional - they're mandatory.
Profitable F&O trader for 3+ years. Markets reward precision, discipline, and systems. So should software. Small improvements applied consistently outperform flashy ideas.
Low-latency systems, broker API integrations, real-time data pipelines, and algorithmic trading infrastructure. I reduce execution lag by 50% and turn research models into production code.
Define the problem, identify constraints and failure modes, choose the simplest system that works, measure results, iterate based on data. Ego never beats evidence.
Building tools that handle real money and real-time data
AI-powered documentation assistant for algorithmic trading platforms. Built with advanced RAG architecture, strict domain control, and production-ready features for intelligent query handling and document processing.
Production-grade distributed system monitoring with Redis-based heartbeat tracking. Built for reliability and real-time failure detection with comprehensive logging and alerting.
Integrated AliceBlue & Pocketful broker APIs into the OpenAlgo framework for unified trade execution across multiple brokers. Enables seamless paper-to-live strategy transitions.
Reinforcement learning models for forex trading with comprehensive backtesting and live deployment capabilities. Transforms quant research into production-ready algorithmic workflows.
Technologies I use to build robust, production-grade systems
Open to projects involving algorithmic trading, machine learning, real-time data streaming, and cloud deployment - especially systems that require low-latency execution and robust signal processing.
Reach out if you're working on real-time trading, ML-driven strategies, or data pipelines. Always open to collaboration with teams that value precision and performance.