AI & AutomationPaper-research system

Court Lab

A tennis-data research dashboard with auditable signals, replay and paper-market experiments.

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Discipline
AI & Automation
Build
Paper-research system
Core stack
Python / FastAPI
Write-up
Project notes
The challenge

The problem behind the build

Live sports research needs timestamps, conservative market mappings and a record of how a hypothetical decision was produced.

The approach

How the pieces fit together

Python collectors, storage and an evaluation engine share SQLite audit history. A dashboard exposes observations and paper experiments.

Capabilities

Inside the implementation

Tennis and public-market data collection

Signal history, replay and settlement tracking

Responsive research dashboard

Technology

The stack behind this project

PythonFastAPISQLiteWebSockets

Project scope

A read-only research and paper sandbox with no transaction client. It does not establish trading profitability.

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