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Typical delivery · Work in progress

Algorithmic trading systems engineered for correctness under real money

Causal Labs builds backtesting frameworks, exchange connectivity and autonomous trading bots — FIX protocol, BullMQ, Python, OpenAlgo and on-chain/Web3 integrations — engineered for correctness where mistakes cost real money. Delivery has included backtesting engines, exchange FIX connectivity, multi-broker order routing across 25+ brokers, and an autonomous on-chain prediction-market bot.

Causal Labs builds backtesting frameworks, exchange connectivity and autonomous trading bots — FIX protocol, BullMQ, Python, OpenAlgo and on-chain/Web3 integrations — engineered for correctness where mistakes cost real money. Delivery has included backtesting engines, exchange FIX connectivity, multi-broker order routing across 25+ brokers, and an autonomous on-chain prediction-market bot.

Why trading systems need a different engineering bar

A bug in most software produces a wrong answer on screen. A bug in a trading system executes an order — capital moves before anyone notices the mistake. That changes what 'tested' has to mean: backtests need to guard against lookahead bias, order routing needs to handle partial fills and exchange downtime gracefully, and every autonomous decision path needs a kill switch that actually works under load.

How we approach trading systems work

01

Scoping & proposal

We scope exchange/broker connectivity, backtesting requirements and risk controls before any strategy logic is written.

02

Build

FIX connectivity, order routing and backtesting infrastructure built with the same rigor as the strategy logic itself.

03

QA & review

Backtests are checked for lookahead bias and survivorship bias; live systems are tested against exchange downtime and partial-fill scenarios.

What's included

Backtesting frameworks

Built to avoid lookahead and survivorship bias, not just to produce a favorable-looking equity curve.

Exchange & broker connectivity

FIX protocol and API integrations across multiple brokers and exchanges.

Order routing

Multi-broker routing logic that handles partial fills and exchange downtime without silent failure.

Risk controls

Kill switches and position limits enforced at the system level, not just in strategy logic.

Deliverables
  • Backtesting framework
  • Exchange/broker connectivity layer
  • Order routing logic
  • Risk control and kill-switch implementation
The stack behind it
FIX Protocol

Used for direct exchange and broker connectivity where latency and reliability matter.

BullMQ

Handles queued, ordered job processing for trading workflows.

Python
OpenAlgo

Used as an execution/broker abstraction layer where it fits the target venues.

On-chain / Web3
Proven

Built backtesting engines, exchange FIX connectivity, multi-broker order routing (25+ brokers) and an autonomous on-chain prediction-market bot.

25+

broker & API integrations delivered

Common inProprietary trading desksFintech platformsOn-chain / DeFi products

Questions about this service

Do you build trading strategies, or just the infrastructure?

Primarily the infrastructure — connectivity, backtesting, order routing and risk controls. Strategy logic is typically owned by your team; we've also implemented strategies to spec where asked.

Building or hardening a trading system where correctness isn't optional?

Tell us what venues and volumes you're working with.

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