What if you could start building an AI trading system before spending thousands of dollars on technology?
The modern trader faces a brutal problem: information is everywhere, but useful information is scarce.
Markets move. Headlines multiply. Data arrives from dozens of sources. AI can process enormous amounts of information-but without the right workflow, it can also produce confident nonsense faster than a human ever could.
$0 AI TRADING SYSTEM takes a different approach.
This book shows you how to build an AI-assisted trading workflow from the ground up, starting with free tools wherever possible.
You will learn how to:
- Build an AI trading stack without starting with institutional infrastructure
- Turn market data and research into structured intelligence
- Build your first AI trading agent
- Transform signals into clearly defined trade hypotheses
- Make AI challenge your trading thesis instead of simply confirming it
- Build a risk engine before putting capital at risk
- Backtest strategies without falling into common testing traps
- Automate repetitive market research and monitoring
- Connect data, AI, Python, APIs, spreadsheets, and automation
- Build a repeatable workflow that can be tested, measured, and improved
The system follows a simple architecture:
DATA → RESEARCH → ANALYSIS → TRADE IDEA → RISK CHECK → TESTING → DECISION
But this is not a book about a magic prompt, a guaranteed strategy, or an AI machine that predicts tomorrow's market.
AI can be wrong. Data can be wrong. Code can be wrong. Backtests can mislead. Markets can change.
The objective is different:
Build the machine. Test the machine. Break the machine. Improve the machine. Then decide whether it deserves your capital.
Whether you trade stocks, crypto, futures, or other liquid markets, this book gives you a practical framework for turning AI from a chatbot into a structured trading research and decision-support system.
Start small. Build with what you have. Test before you trust. Scale only when the evidence justifies it.
Independently Published
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