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// Freelance client work via Aqlity

IRIS India

I built a full-stack, multi-agent AI platform for NuqiWealth that acts like a team of specialized research analysts for the Indian stock market (NSE and BSE), covering fundamentals, technicals, news sentiment, and stock screening.

Tech Stack

ReactNext.jsPythonMulti-Agent AI ArchitectureCustom Backtesting EngineAdmin Analytics Dashboard

How it works

It covers company fundamentals, technical charts, news sentiment, and stock screening, with built-in Shariah-compliant investing filters and index-based filtering.

  • Built specialized AI agents covering fundamentals, technical charts, news sentiment, and stock screening.
  • Added Shariah-compliant investing filters and index-based filtering (Nifty 50, Nifty 500, Sensex).
  • Built an in-house backtesting engine that validates every buy/sell signal against years of historical data across thousands of stocks.
  • Tuned signal thresholds based on real backtest results rather than assumptions.

Why I built it

Retail investors researching the Indian market usually have to piece together fundamentals, technicals, and news sentiment from different tools, with no easy way to filter for Shariah-compliant options or validate a signal before trusting it.

How I approached it

I split the research work across specialized agents instead of one generalist model, then built a dedicated backtesting engine so every signal is checked against real historical data before its thresholds are trusted.

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