Python & Quant

Python Quantitative Trading Development

Python engineering for research, backtesting and live trading.

Research code and production code have different requirements, and most trading projects stall at the gap between them. We build both, and the bridge in between: notebooks that become services, scripts that become tested libraries.

What this covers

Python trading systems built as maintainable packages, not scripts
Broker and data APIs wrapped behind clean, testable interfaces
Research notebooks refactored into deployable production code
Test coverage, logging and error handling appropriate to live capital

Services in this area

14 pages

Python Quant Development

Quantitative development in Python, from research through to production.

Python Forex Trading Systems

A complete FX trading system in Python: data, signals, risk and execution.

Python Algorithmic Trading

Algorithmic trading built in Python with production engineering standards.

Python Trading Bot Development

Unattended bots that recover from disconnects rather than dying quietly.

Python Backtesting Development

Backtesting code you can trust, because its assumptions are explicit.

Python Broker API Development

Broker APIs wrapped behind an interface your strategy code can be tested against.

Trading Workflow Automation

The daily manual routine around trading, automated and monitored.

Python Trading Dashboards

Live views of positions, risk and performance for you or your team.

Trading Data Analysis

Analysis of your trade history to establish what is actually driving results.

Custom Quant Libraries

A tested internal library so every project stops starting from zero.

Jupyter Model to Production

Notebook research turned into a deployable, tested, monitored service.

Excel to Python Trading System

Spreadsheet models rebuilt in Python, with the logic verified against the original.

MQL to Python Conversion

MQL strategies ported to Python with behaviour reconciled trade by trade.

Quant Code Refactoring

Existing trading code made testable, readable and safe to change.

Tell us what you are trying to build

Describe the problem and we will tell you plainly whether we can help, roughly what it would take, and what it would cost. If it is not a fit, we will say so.

Discuss My Python Project