Purpose

AlgoNotes documents algorithmic trading systems through operational notes, configuration examples and tested procedures. The material reflects working deployments rather than theoretical models.

Scope

This desk covers open-source trading bots (FreqTrade, Jesse, Hummingbot), exchange API integration, strategy development patterns, backtesting methods, risk management frameworks, and infrastructure setup. Advanced topics include machine learning integration, high-frequency approaches, and multi-exchange architectures.

Approach

Each topic page follows a consistent structure: overview, implementation details, configuration examples, testing procedures, risk considerations, and production notes. Code samples use realistic parameters. Performance metrics cite actual backtest ranges rather than cherry-picked results.