Trendx

Ai native trading app built for Indian equity and derivative markets. From strategy design to signals to execution-all in one app. No more watching every candle, Trade your setup on the go with Trendx

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Inspiration

Trendx is a real-time algorithmic trading signal platform for retail investors in the Indian equity and derivatives market. It lets users build, validate, and deploy systematic trading strategies from their phone — without writing a single line of code. One click deploy and trade on 5+ broker integrations.

What it does

At its core, Trendx closes the gap between institutional-grade systematic trading and the retail investor. A user describes a trading idea in plain language; an AI assistant translates it into a structured Strategy Definition Language (SDL) document; the platform continuously evaluates that strategy against live market data; and the moment conditions are met, a signal lands on the user's phone with a full execution plan — entry price, target, stop-loss, position size, and risk/reward ratio, options strategy legs. Agentic trading 2.0, you go one step further, with LLM-assisted strategy customization** tailored to their specific market thesis, risk tolerance, or leg structure (e.g., "Generate a delta-neutral OTM options leg with 2% per-trade risk sizing and protective hedge")

How we built it

The platform is built on a polyglot microservices architecture: a Golang/TypeScript/Fastify strategy-builder for authoring and AI chat, a Go execution engine for sub-millisecond signal evaluation, a Python/FastAPI backtest engine powered by vectorbt and custom simulation, a Go analytics engine computing 35+ technical indicators and pattern analysis in real time, and a Flutter mobile app for a fully native on-device experience.

Challenges we ran into

Scaling the Tick level data, Coming up with the SDL for broader use cases with ability to backtest.

Accomplishments that we're proud of

  1. Building realtime system for 20000+ live instruments.
  2. Ai native flows, Integrated throughout the App, and operations flow.
  3. Cost effective from day 1.

What we learned

  1. Effective use of coding agents, Knowing their limits. Knowing which model fits right for the build cases.
  2. Building custom agent skills.
  3. Auto piloting the system with Agents

What's next for Trendx

  1. Marketing, Bringing more users.
  2. Building useful features for retails trader with speed and accuracy.
  3. Make Agentic trading as the future.

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