A retail capital-markets trading venture building automated intraday signal tooling for Indian index markets
An Intraday Algorithmic Trading Signal Platform
An end-to-end algorithmic trading platform that connects a trader's own brokerage account, streams live market data, and turns raw price candles into transparent, rule-based intraday trading signals.
The challenge
Retail intraday traders rely on lagging, swing-oriented indicators that misfire on fast index moves, and most off-the-shelf tools are opaque black boxes that lock users into a vendor and a single broker. The venture needed a transparent, broker-agnostic system where strategy logic could be inspected, backtested, and continuously improved against real market behaviour rather than trusted on faith.
Our approach
We owned the build end to end across both the trading web application and the signal engine, treating it as one product rather than disconnected parts. We designed a clean layered architecture (UI to typed API to service to pluggable broker adapters), wired in per-user broker credentials over OAuth2 so the trader keeps full control of their own account and data, and grounded strategy decisions in honest backtest analysis instead of indicator folklore.
What we built
- A Next.js web application with secure user authentication, session-gated routing, and a per-user OAuth2 broker connection flow (no shared secrets or vendor lock-in)
- A live market-data dashboard that pulls historical OHLCV candles from the connected broker and renders interactive charts
- A stateless signal-generation service that computes technical indicators and runs transparent, rule-based intraday strategies to emit BUY/SELL signals with confidence scoring
- A pluggable broker-adapter registry plus a backtesting and strategy-analysis workflow for evaluating and iterating on strategy logic against historical data
Outcome
Delivered a working, transparent trading platform where a trader can connect their own broker, view live charts, and receive explainable rule-based intraday signals — with a backtesting workflow that lets strategy logic be measured and refined honestly rather than treated as a black box, and a broker-adapter design that keeps the system portable across brokers.
Technology
SIMILAR CHALLENGE?
Talk to us about similar work.
If this resonates with a problem you're working on, we're direct about whether we can help and what it would take.