Research tools and open-source infrastructure.
Selected tools from our quantitative and AI engineering practice. The proprietary strategy research and analytics behind them remain confidential — these are the components we’re able to share publicly.
github.com/SignalSenseUKOpen source
ibkr-mcp
Read-only MCP server exposing Interactive Brokers account and market data to AI agents.
Positions, Greeks, option chains, historical data, order status — all queryable, none mutable. Designed for safe agentic access to live trading infrastructure.
backtest-report
Standalone Python package generating standardised, reproducible PDF backtest tear sheets.
Works from persisted backtester objects or plain DataFrames. Uses QuantStats for metrics and matplotlib for charts.
finance-data-download
Downloader for financial data from various sources.
chart-service
Self-hosted, modular rendering service for interactive financial charts and static images.
Retrieves data via extensible provider adapters, calculates server-side indicators, and outputs interactive web charts or high-fidelity static images using FastAPI and TradingView Lightweight Charts.
Live demos and dashboards
A space for hosted tools, interactive dashboards, and public research artefacts. Watch this section.