AI Trading with Chatbots: A Practical Guide to Prompt-Driven Trading Research, Backtesting, Broker APIs, and Risk Management

This book shows how prompt-driven AI tools such as ChatGPT can support trading research, strategy design, backtesting, broker API planning, trade journaling, risk management, and human-in-the-loop decision processes. It does not promise guaranteed profits or push-button trading systems. Instead, it teaches readers how to turn vague trading ideas into structured rules, testable workflows, safer automation plans, and repeatable prompt libraries.

Inside the book, readers learn how to use AI chatbots to clarify market ideas, design prompts for trading analysis, translate strategy concepts into implementation-ready logic, draft Pine Script, MQL5, and Python backtesting templates, understand broker API architectures, design JSON-based trade approval flows, monitor trading systems, and build stronger risk controls.

The book covers AI-assisted trading, ChatGPT trading workflows, prompt engineering for traders, algorithmic trading research, backtesting, paper trading, broker APIs, MetaTrader, cTrader, TradingView Pine Script, Python trading bots, position sizing, drawdown control, trading journals, and responsible trading automation.

AI Trading with Chatbots is written for readers who want to use AI as a supervised assistant, not as an oracle. The central message is simple: AI can make traders faster, more organized, and more systematic, but it does not replace market knowledge, testing, risk management, or human responsibility.