| Field | Details |
|---|---|
| Strategy Type | Trend Following |
| Platform | Binance IBKR |
| Asset Classes | Crypto Perps US Stocks |
| Max Drawdown | ≤ 12% total portfolio |
| Target Sharpe | > 1.8 annualised |
| Delivery | 8–10 weeks · Full deployment |
Every quant system starts with rigorous requirements gathering — defining the strategy edge, constraints, platforms, risk limits, and success criteria before any design begins.
We design the full trading system architecture before writing code — defining every component, data flow, and integration point to ensure a robust, scalable production system.
Institutional-grade data pipelines — real-time ingestion, clean storage, and fast retrieval. TimescaleDB optimised for time-series trading data at high frequency.
Clean, modular Python code built to institutional standards — accelerated by Claude AI and ChatGPT for faster delivery, fewer bugs, and comprehensive documentation.
Rigorous walk-forward backtesting with realistic assumptions — slippage, maker/taker fees, funding costs. No lookahead bias. Paper trading validation before any live capital is deployed.
Production deployment across all platforms simultaneously — 24/7 cloud operation, real-time Grafana monitoring dashboard, Telegram alerts, and emergency stop controls.
Priority bug fixes, hotpatching, and API change handling as platforms update.
Ongoing parameter tuning, signal refinement, and strategy evolution as markets change.
Monthly P&L reports, attribution analysis, and drawdown review with recommendations.
Add new instruments, strategies, or platform integrations as your needs evolve.
Our relationship doesn't end at deployment. We provide ongoing support — monitoring, optimisation, reporting, and new feature development as your trading operation grows.