Balance Labs Ebook Library
Deep-dive ebooks on AI trading systems and research workflows.
Launch-priced titles with limited seats. Unlocks are linked to your Balance Labs account.
Each ebook includes runnable code examples, downloadable datasets, and lifetime updates. No subscription required — buy once, read forever.
The Python Trading Systems handbook covers the full workflow: market data pipelines, signal design, backtesting frameworks, risk management, and live deployment patterns. Over 200 pages with working code.
Includes complete data pipeline examples: WebSocket ingestion from major exchanges, feature engineering for time-series models, walk-forward validation splits, and Monte Carlo drawdown simulation.
The execution chapter covers order routing, slippage modeling, commission optimization, and deploying to paper trading environments with real-time monitoring dashboards.
Written for intermediate Python developers. Every chapter builds on the last, ending with a complete trading system you can run locally. No prior finance knowledge required.
Buying the ebook also includes lifetime updates and access to the example datasets used throughout the book.
Current title: Python Trading Systems With AI — a backtest handbook.
- Python Trading Systems With AI Ebook
Backtest handbook: data, signals, risk, and execution.
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