Glibbs

Algorithmic trading research

A personal project for designing, backtesting and forward-testing systematic trading strategies against real market data.

What this is

A self-hosted research tool. Trading strategies are written as code, measured against historical prices, then paper-traded forward on live market data to see whether any apparent edge survives contact with data it has never seen. Most do not — which is the point of measuring.

Components

Strategy library

Trend, mean-reversion and breakout systems with documented rules and parameters.

Backtesting

Historical scoring with out-of-sample validation and parameter sweeps.

Forward testing

Paper trading on live prices — the honest test, on data no strategy has seen.

Risk management

Position sizing from account equity and stop distance, with margin tracking.

Important

This is a private research project, not a business and not a financial service. Nothing here is investment advice, and no product, signal or managed service is offered to anyone.

No client funds are accepted or handled, and no third-party accounts are managed. Any trading is done solely by the site owner, on their own account, at their own risk.

Trading leveraged instruments carries substantial risk of loss. Past performance does not indicate future results.

Open dashboard →

The dashboard is private and requires credentials.