FARAMARZ KOWSARI · TRADING BOOKS

Algorithmic, AI & Systematic Trading Books

Systematic and AI-assisted trading moves discretion into rules, data definitions, models, testing assumptions and production controls. These books cover AI trading agents, trading bots, chatbot-assisted workflows, multi-timeframe evidence, strategy specification and controlled automation. The central standard is reproducibility: an idea should be clear enough to test, costs should be included, leakage and overfitting should be challenged, and automation should never bypass independent risk controls.

3 books in this collection. Every cover links directly to Google Books, and each title includes a free-preview link when available.

Book cover of AI Trading Agents & AI Trading Bots by Faramarz Kowsari
AI, Algorithmic & Systematic Trading

AI Trading Agents & AI Trading Bots

Building Smarter Trading Workflows

AI Trading Agents & AI Trading Bots treats an AI trading system as a governed workflow rather than a model attached directly to execution. It follows the path from evidence and market state through models, policy, abstention and independent risk to order-state reconciliation, portfolio constraints, testing, production architecture, security, graded autonomy and five end-to-end builds. The final sections study failure chains, backtest overfitting, uncertainty and controlled deployment, supported by implementation templates, checklists and incident dossiers.

Trading bots vs AI agentsAgentic trading loopsMarket data and provenanceFeature engineering and regimesNews and LLM inputs
Book cover of AI-Assisted Crypto Futures by Faramarz Kowsari
AI, Algorithmic & Systematic Trading

AI-Assisted Crypto Futures

The Smart Three-Screenshot Method for Multi-Timeframe Futures Trading

AI-Assisted Crypto Futures builds a disciplined workflow around three clean screenshots: 1H for direction, 15M for the working zone and 5M for timing. Screenshots are treated as evidence rather than decoration, so each one must show the timeframe, recent swing points, active price area and enough history for the AI assistant to evaluate whether price is extended, balanced or structurally unclear. The prompt must ask for visible evidence, invalidation, risk and a reason to stand aside.

Crypto futuresThree-screenshot methodMulti-timeframe analysisMarket structureLiquidity and FVGs

Where this category fits in a trading education

AI-assisted, algorithmic and reproducible trading workflows that turn ideas into rules, tests, data pipelines and controlled decision systems. Use this page when this subject matches a real weakness in your process; use the complete library when you need to compare several approaches before choosing what to study next.

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