Reading List
The books we recommend for building agentic AI trading agents — covering algorithmic trading, machine learning for markets, and working effectively with AI. We update the shelf as new standouts appear.
Quant & Algorithmic Trading
The reference on applying ML to markets the right way — labelling, cross-validation that respects time, and the backtest pitfalls that sink most strategies. Dense but essential.
A practical, code-heavy walk from data to backtest in Python. The closest thing to a hands-on companion for the kind of agent harness we write about.
A readable intro to systematic strategy design, mean reversion vs momentum, and realistic expectations for the retail quant. Good before you automate anything.
Working with AI & Agents
An accessible look at where LLMs genuinely help and where they fail — useful grounding before you trust an agent with any decision, financial or otherwise.
Mindset & Risk
A vital antidote to backtest euphoria — how easily we mistake luck for skill in markets. Read it before you believe your equity curve.
Recommendations are editorial opinion and for education only — not financial advice. Book links may be affiliate links; see our disclosure.