Quant engineering with applied AI/ML.
Trading systems built and independently verified, and machine learning and AI applications built to the same standard.
Execution systems
Live trading backends and broker integrations for futures, options and equities. OCO brackets, webhook pipelines, multi-leg options routing and state recovery that survives API failures and forced reboots.
Typical engagements
- TradingView and Pine Script strategies turned into live broker execution
- Multi-leg options routing, strike selection and execution dashboards
- Webhook queues and alert pipelines that stay inside API rate limits
- Crash-safe state recovery for entries, stops and order status
- Broker and market-data integrations: Interactive Brokers, Tradovate, Charles Schwab, Angel One, Polygon.io
You get
- A working system with logging, documented milestones and a clean handover
- Source code your team can run and maintain
Backtesting and verification
We remove lookahead bias, repainting and unrealistic fills. We turn TradingView and Pine Script strategies into live systems that use no information from the future. Then we rebuild the results on an independent engine and reconcile them trade by trade.
Typical engagements
- Independent replication of a strategy from its written specification
- Audits for lookahead bias, repainting and unrealistic fills
- Monte Carlo survivability and drawdown stress tests
- Out-of-sample checks on published or sealed results
You get
- A written report with reconciled results, every difference traced to a cause
- Reproducible code, with negative findings reported as clearly as positive ones
AI and machine learning
We build machine learning models and validate them before they ship. We build LLM applications on the OpenAI API, plus the data and automation backends around them. All of it meets the same standard as our trading systems.
Typical engagements
- Feature ranking and rule mining on trading datasets with LightGBM and XGBoost
- LLM applications on the OpenAI API, such as assistants that answer from your own product or business data
- APIs, data pipelines, bots, payment integrations and live dashboards on Python, FastAPI and PostgreSQL
You get
- A validated model or working application, with documentation
- Evaluation results you can inspect, so you know whether it works before it ships
How an engagement runs
Scope
We agree the problem, the deliverable and a fixed price or hourly estimate before any work starts.
Build
Work in milestones with regular updates, so you see progress and can change course early.
Hand over
Documented code and a walkthrough, so your own team can run and maintain it.
Engineering standards
Reliable under failure
Systems keep their state through API outages, restarts and market-open load, and behave live the way they did in testing.
Verified, not assumed
Results are reproduced independently, and every difference is traced to a cause, including the unwelcome ones.
Built to hand over
Documented milestones and clean code that your own team can run and maintain.