Guy Gentile Releases AI Trading Edge, A 25-Chapter Guide To Building Machine-Learning Systems For Real Markets

FOR IMMEDIATE RELEASE

Aug. 10, 2026 — Trader and financial-technology founder Guy Gentile has released AI Trading Edge: Building Machine-Learning Systems For Real Markets, a 25-chapter technical guide to constructing a quantitative trading stack. The book is available now on Amazon in paperback and Kindle editions, and ships alongside a free companion Python repository hosted on guygentile.com.

The book follows the order in which such a system is actually built: from raw market data through feature construction, validation, execution and news processing. It contains no signal service, no proprietary strategy to copy and no performance claims.

The first section addresses data: ingestion, point-in-time storage, corporate-action handling, and the way a survivorship-biased universe flatters every model fitted to it. The second covers feature engineering on order flow and market microstructure — imbalance, spread and depth dynamics, volatility regimes — and the distinction between a feature that describes the past and one that carries information forward.

The middle section is devoted to validation: walk-forward and purged cross-validation, embargo windows, label leakage, and multiple-testing inflation, including how to state a result honestly after hundreds of experiments on the same history.

The final section covers execution and language models. Reinforcement learning is applied to order placement and child-order scheduling rather than to full-position discretion. LLM news triage covers classification, deduplication, materiality scoring, and the guardrails that prevent a headline model from acting on the same rumor twice.

Every framework in the book is backed by working Python. The companion repository ships production-shaped modules — data loaders, feature transformers, validation harnesses and execution simulators — with unit tests, so a reader can inspect the implementation behind a chapter rather than reconstruct it from prose.

It is hosted on guygentile.com at /repository, free of charge, with no email gate and no purchase verification. The intended workflow is to read a chapter, open the matching module, run the tests, and then stress it against the reader's own data.

The book is written for three audiences: discretionary traders who want to systematize part of an existing workflow, engineers who write competent Python but have not yet had a live P&L punish a subtle look-ahead bug, and quants who want a practitioner-oriented account of where research pipelines fail on a working desk.

Readers need comfort with Python and basic statistics. No doctorate is assumed, and nothing in the book requires infrastructure beyond what a serious individual trader or small fund can stand up.

“Machine learning does not repeal the old trading problems — overfitting, bad data, ignored costs and regime risk. It industrializes them,” Gentile said. “AI Trading Edge is about building the stack and then trying to break it before the market does.”

Gentile has traded for more than thirty years and spent most of them building software for traders, founding DAS Trader in 2001 and later the direct-access brokerages SpeedTrader and SureTrader. The book reflects that operating perspective: as much attention is paid to measurement and discipline as to model architecture.

Rogue Alpha is the introductory discretionary framework — setups, triggers and risk rules. The Stock Operator is the full trading playbook drawn from thirty years on the tape and on the broker side of the wire. AI Trading Edge is the technical volume: the machinery.

The titles are independent. There is no required reading order and no series arc; this book stands alone.

Guy Gentile is a day trader and financial-technology founder with more than thirty years in the markets. He founded DAS Trader in 2001, along with the direct-access brokerages SpeedTrader and SureTrader, and is the author of The Stock Operator, Rogue Alpha, AI Trading Edge, The Rogue Code and the memoir Bro, I'm Going Rogue. He publishes market commentary, trading guides and primary-source documents at guygentile.com.

AI Trading Edge is published for informational and educational purposes. It is not investment advice, contains no signals or strategy to copy, and makes no promise or projection of trading returns. Trading involves substantial risk, including the risk of total loss.