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AI-Powered Algorithmic Trading with Python: A Practical Machine Learning Playbook to Build Leak-Proof Signals, Backtest Realistically, Manage Portfolio Risk and Deploy AI Agents - Couverture souple

Everly, Liam

 
9798189196713: AI-Powered Algorithmic Trading with Python: A Practical Machine Learning Playbook to Build Leak-Proof Signals, Backtest Realistically, Manage Portfolio Risk and Deploy AI Agents
Couverture souple
ISBN 13 : 9798189196713
Editeur : Independently published, 2026

Synopsis

A profitable-looking model can still be a dangerous trading system.

AI-Powered Algorithmic Trading with Python gives you a disciplined path from idea to controlled execution through the eight-gate Evidence-to-Execution Framework: Thesis, Clock, Target, Evidence, Portfolio, Reality, Launch, and Lifecycle.

Inside, you will learn how to:

  • Build point-in-time datasets without future leakage, survivor bias, or revision errors

  • Define tradeable regression, classification, ranking, and policy-learning targets

  • Compare gradient boosting, deep learning, causal methods, and reinforcement learning with honest baselines

  • Use walk-forward validation, purging, nested search, experiment accounting, and a governed final holdout

  • Translate forecasts into positions under risk, liquidity, turnover, and uncertainty constraints

  • Model spread, impact, delay, borrow, partial fills, and strategy capacity

  • Move from research to shadow mode, paper trading, monitoring, and controlled live execution

  • Build cited RAG research copilots and bounded AI agents with human approval and audit trails


Nine compact case studies cover momentum, earnings-call text, causal events, mean reversion, execution costs, volatility targeting, regime-aware allocation, paper trading, and point-in-time RAG.

This is not a promise of easy profits. It is a practical playbook for building research that is realistic, reproducible, auditable, and designed to protect capital when the model is wrong.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2026
Langue
anglais
ISBN 13 
9798189196713
Reliure
Broché
Nombre de pages
178
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
https://www.amazon.fr/hz/contact-us

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Luxembourg