This hub covers AI-assisted, algorithmic and agentic trading workflows, including data, model decisions, risk controls, execution architecture, testing and production reliability. AI is treated as one component inside a governed trading system rather than as a source of guaranteed signals.
This hub is generated from the controlled subject metadata of the public books library. It connects closely related titles with descriptive internal links and a stable crawlable URL.
A practical engineering guide to AI trading agents and bots covering data pipelines, decision engines, risk, execution, testing, production architecture, security, autonomy, five end-to-end builds and failure discipline.
Trading bots vs AI agents, Agentic trading loops, Market data and provenance, Feature engineering and regimes
AI Trading with Chatbots by Faramarz Kowsari explores AI Trading with Chatbots with a practical, structured approach.
AI Trading with Chatbots