The Trader’s Prompt Engineering Handbook: A Practical Guide to AI-Assisted Trading with ChatGPT, Broker APIs, Backtesting, and Risk Management
About this ebook
This book explains how prompt engineering can support market research, trading system design, broker API workflows, backtesting, paper trading, trade journaling, risk management, and human-in-the-loop decision processes. Instead of promoting unrealistic “AI trading profits,” it teaches readers how to turn vague trading ideas into structured, testable, auditable workflows.
Inside the book, readers learn how to use ChatGPT and similar AI assistants to draft strategy logic, create checklists, review assumptions, plan backtests, understand broker API requirements, identify failure modes, and build safer trading processes. The book covers topics such as AI-assisted trading, prompt design, Python trading bots, MetaTrader workflows, broker APIs, multi-agent trading systems, fraud awareness, regulation, and responsible automation.
This handbook is written for discretionary traders, systematic beginners, algorithmic trading learners, developers building trading tools, educators, and founders working on AI-assisted financial technology.
The central message is clear: AI can make traders faster and more organized, but it does not replace market knowledge, risk control, backtesting, paper trading, technical verification, or human responsibility.
Topics covered include:
AI-assisted trading, prompt engineering for traders, ChatGPT trading workflows, broker APIs, Python trading bots, MetaTrader MT4 and MT5 expert advisors, backtesting, paper trading, risk management, multi-agent trading systems, responsible AI, trading automation, and investor protection.
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About the author
Faramarz Kowsari is an author and AI workflow designer focused on practical applications of prompt engineering in trading, automation, and financial technology. His work explores how traders, developers, educators, and fintech builders can use AI tools such as ChatGPT responsibly inside structured and verifiable workflows.
His book, The Trader’s Prompt Engineering Handbook, focuses on AI-assisted trading, broker APIs, backtesting, paper trading, risk management, trading automation, and human-in-the-loop decision processes. Rather than presenting AI as a market oracle, his writing emphasizes verification, discipline, risk controls, and responsible use of automation.
Faramarz’s practical approach helps readers turn vague trading ideas into clearer research plans, code drafts, checklists, tests, and safer decision workflows.
