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A documented pullback strategy, automated with strict risk rules
An automated trading system for Indian futures and options that syncs candles from a broker API, scores pullback setups through layered gates, places and manages trades, and logs every decision on a live dashboard.
The challenge
The trader had a strategy that worked on paper but depended on discipline: checking higher-timeframe context, waiting for a clean pullback and sizing risk the same way every time. Doing it by hand meant missed entries and inconsistent exits.
What we built
We wrote the full strategy as a specification (indicators, direction selection, three entry gates, entry candle filters, risk, fees, exits and block reasons) and implemented it in Laravel. The scheduler logs in to the broker, syncs candles, calculates indicators, runs the pullback scan and resolves option contracts, with a dry-run mode before going live and a dashboard of live trades and reasons a trade was blocked.
Key features
Under the hood
Product screens
Illustrations of the main screens. Client data and branding are left out.
Open positions, entries and exits with reasons.
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