Ritik goyal
Python & Django developer for web apps and APIs
New to Contra
Ritik is ready for their next project!
An AI-driven trading engine that analyzes 200-DMA breakouts and real-time market sentiment to generate long/short recommendations. It scans 1,500+ NSE stocks in under 2 seconds and uses generative AI to build option strategies, delivering event-driven trade signals end-to-end. I built the full Django backend, async APIs, and the signal-generation logic.
Accomplishments and responsibilities:
Built an AI-driven trading engine analyzing 200-DMA breakouts and market sentiment, generating long/short signals with ~70% directional accuracy — outperforming baseline strategies by 35%;
Integrated generative-AI insights for automated option-strategy creation (spreads, straddles, condors), improving Sharpe ratio by 1.6× and cutting manual analysis time by 60%;
Developed a Django backend with async APIs scanning 1,500+ NSE stocks in under 2 seconds, achieving 40% lower latency with event-driven alerts.
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An AI-powered news platform that delivers concise, real-time AI-industry updates to 2,500+ active users. It scrapes and aggregates 500+ sources daily, removes duplicates, and uses generative-AI summarization to cut reading time significantly while surfacing the most relevant stories. I built the backend responsible for scraping, deduplication, and the LLM summarization pipeline.
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An enterprise SaaS platform that lets FMCG companies plan, simulate, and optimize trade promotions. It gave 15+ enterprise clients the ability to model 200+ promotional scenarios monthly, run what-if analysis through a Promotion Calendar Optimizer and Simulator, and forecast the impact of promotions on revenue, volume, and profitability across $50M+ in annual promotional spend. My focus was architecting and building the Python/Django backend that powered the simulation and optimization engine.
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Built a Python-powered automated trading tool that pulls live market data, runs technical analysis, and generates real-time trade signals. Features normalized comparison charts across multiple assets (Nifty, USD Index, Brent Crude, US 10Y Yield), a macro pressure table, correlation analysis, and a portfolio helper. Backend built in Python with automated data pipelines, live market feeds, and signal interpretation logic that flags bullish/bearish pressure. Clean, data-dense dashboard for fast decision-making.
Tech: Python, Pandas, REST APIs, data automation, real-time charting.
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