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Entrusit case study · Trading & investmentsTrading & markets automation

Signals, rules and execution in one loop — with hard risk limits and a kill switch you control.

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The problem

Strategies that work on paper break down in manual execution: signals are missed overnight, orders go in late or oversized, and discipline slips exactly when the market moves fastest.

What we built

An automation stack that turns market and data signals into explicit rules, executes through broker and exchange APIs within position and loss limits, and monitors every open position — backtested before it ever trades live.

How it works

  1. 1Signals: market data and your own indicators are collected and normalised.
  2. 2Rules: the strategy is written as explicit, testable rules and backtested on historical data.
  3. 3Execution: orders go out through broker or exchange APIs, inside position, exposure and loss limits.
  4. 4Monitoring: positions, fills and errors are watched live, with alerts and a manual kill switch.

Highlights

  • Backtest first, then paper, then live
  • Hard risk limits and a kill switch
  • Every signal, order and fill logged

Stack & integrations

  • Broker & exchange APIs
  • Backtesting engine
  • Scheduled workers
  • Risk limits
  • Alerts & monitoring

Project 11 of 16

Want something like this?

Tell us about your version. The first 30-minute process teardown is free, and we'll sign an NDA before it.