{"product_id":"python-for-stock-and-crypto-automation-build-trading-bots-backtest-strategies-and-learn-ai-driven-market-automation-9798195945626","title":"Python for Stock and Crypto Automation: Build Trading Bots, Backtest Strategies, and Learn AI-Driven Market Automation","description":"\u003cp\u003e • Author(s): Malte Eisenberg\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: E-Commerce - Online Trading\u003c\/p\u003e\u003cp\u003eThe honest guide to algorithmic trading in Python - without the hype.\u003c\/p\u003e\u003cp\u003eMost books on trading bots promise easy returns. This one promises something more useful: \u003cb\u003ethe engineering skill to build, test, and operate a real trading system in Python\u003c\/b\u003e - and the discipline to know whether to run it with real money at all.\u003c\/p\u003e\u003cp\u003eAcross \u003cb\u003e313 pages and 29 hands-on chapters\u003c\/b\u003e, you go from your first strategy to a working bot connected to a live exchange - with the risk controls and operational rigor that separate serious operators from those who blow up in their first month.\u003c\/p\u003eWhat you will build\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eA complete crypto trading bot\u003c\/b\u003e - Binance via ccxt, idempotent orders, ATR stops, SQLite, Telegram alerts, graceful shutdown\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eA stock trading system\u003c\/b\u003e using the Alpaca API and a cron-driven architecture\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eA backtester\u003c\/b\u003e that handles fees, slippage, and look-ahead bias correctly\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eStrategies\u003c\/b\u003e in momentum, mean reversion, arbitrage, and portfolio allocation\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAn ML pipeline\u003c\/b\u003e with LightGBM and walk-forward validation\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAn RL environment\u003c\/b\u003e for trading research with Gymnasium\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eA paper-trading framework\u003c\/b\u003e for catching the bugs backtests miss\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eA Streamlit dashboard\u003c\/b\u003e for P\u0026amp;L, drawdown, and strategy attribution\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eProduction deployment\u003c\/b\u003e - Docker, systemd, watchdogs, crash recovery\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003eWhy this book is different\u003cp\u003e\u003cb\u003eIt treats algorithmic trading as engineering, not a path to riches.\u003c\/b\u003e Every project ships with the safety controls real operators use - kill switches, idempotency keys, structured logging, drawdown halts. Every code example is runnable. Every backtest models real frictions.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIt is honest about what works and what doesn't.\u003c\/b\u003e Entire chapters cover the mistakes that recur in every operator's first year, the legal and tax terrain, and the realistic returns of retail-bot trading. It does not promise profits - it teaches Python, automation, and quantitative thinking.\u003c\/p\u003e\u003cb\u003eInside the book\u003c\/b\u003e\u003cp\u003e\u003cb\u003ePart I - Foundations: \u003c\/b\u003e Markets, order books, the strategy landscape, and the risk discipline that does most of the work.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart II - Setup: \u003c\/b\u003e A clean Python environment, market data with yfinance and ccxt, financial data in pandas.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart III - First Strategies: \u003c\/b\u003e A working moving-average crossover, an honest backtester, and how to improve a strategy without overfitting.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart IV - Real Bots: \u003c\/b\u003e Connecting to live exchanges, executing orders safely, running 24\/7 with monitoring and crash recovery.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart V - Advanced Strategies: \u003c\/b\u003e Momentum, mean reversion, arbitrage, and multi-strategy portfolios.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart VI - AI and Machine Learning: \u003c\/b\u003e What ML can and cannot do, feature engineering, a complete LightGBM pipeline, and reinforcement learning.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart VII - Real Projects: \u003c\/b\u003e Four complete project bots with source code, setup, and safety controls.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart VIII - Going Live: \u003c\/b\u003e The pre-flight checklist, common operator mistakes, the legal and tax terrain, and realistic retail-bot returns.\u003cbr\u003e \u003c\/p\u003eWho this book is for\u003cul\u003e\n\u003cli\u003eProgrammers applying Python to real-world automation\u003c\/li\u003e\n\u003cli\u003eAnalysts and quants who want to understand markets at the level of someone who has actually built a bot\u003c\/li\u003e\n\u003cli\u003eDevelopers comfortable with basic Python - no finance background required\u003c\/li\u003e\n\u003cli\u003eAnyone who prefers detailed technical treatments to marketing copy\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat this book is not\u003c\/b\u003e\u003cp\u003eIt is not financial advice. It does not promise returns, beat-the-market strategies, or passive income. The strategies are educational examples, not investment recommendations. The reader who takes the warnings seriously is most likely to come out ahead - whether or not they ever go live.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eEducational only. Not financial, legal, or tax advice.\u003c\/i\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47882565288087,"sku":"9798195945626","price":2510.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798195945626.webp?v=1781095922","url":"https:\/\/atlanticbooks.com\/products\/python-for-stock-and-crypto-automation-build-trading-bots-backtest-strategies-and-learn-ai-driven-market-automation-9798195945626","provider":"Atlantic Books","version":"1.0","type":"link"}