All success stories
Capital markets/Quantitative systems/SC-27

Quantitative Trading & Market Microstructure System

What this system is for

A research stack for order-book events, microstructure signals, backtesting and strategy evaluation.

Reference economics

€1M notional → 10 bps cost → €1k equivalent execution impact.

Reference arithmetic, not a measured client result.

€1M

Reference scenario

10 bps

Illustrative improvement

€1k

Decision value

The success story in 30 seconds

Business problem

Research becomes misleading when order-book events, execution assumptions and strategy metrics are mixed together.

What changed

Persist raw events before deriving signals.

Business utility

The point is reproducible research, cost-aware evaluation and a clear boundary between market observation and trading action.

Decision

Quantitative systems

System

Quantitative Trading & Market Microstructure System

Validation

Replay events · Signal families

Core stack

Python · TypeScript · Vite