Python for Stock and Crypto Automation (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 31,15
Cantidad disponible: 1 disponible
Añadir al carritoDescripción del artículo del vendedor
Paperback. The honest guide to algorithmic trading in Python - without the hype.Most books on trading bots promise easy returns. This one promises something more useful: the engineering skill to build, test, and operate a real trading system in Python - and the discipline to know whether to run it with real money at all.Across 313 pages and 29 hands-on chapters, 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.What you will buildA complete crypto trading bot - Binance via ccxt, idempotent orders, ATR stops, SQLite, Telegram alerts, graceful shutdownA stock trading system using the Alpaca API and a cron-driven architectureA backtester that handles fees, slippage, and look-ahead bias correctlyStrategies in momentum, mean reversion, arbitrage, and portfolio allocationAn ML pipeline with LightGBM and walk-forward validationAn RL environment for trading research with GymnasiumA paper-trading framework for catching the bugs backtests missA Streamlit dashboard for P&L, drawdown, and strategy attributionProduction deployment - Docker, systemd, watchdogs, crash recovery Why this book is differentIt treats algorithmic trading as engineering, not a path to riches. 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.It is honest about what works and what doesn't. 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.Inside the bookPart I - Foundations: Markets, order books, the strategy landscape, and the risk discipline that does most of the work.Part II - Setup: A clean Python environment, market data with yfinance and ccxt, financial data in pandas.Part III - First Strategies: A working moving-average crossover, an honest backtester, and how to improve a strategy without overfitting.Part IV - Real Bots: Connecting to live exchanges, executing orders safely, running 24/7 with monitoring and crash recovery.Part V - Advanced Strategies: Momentum, mean reversion, arbitrage, and multi-strategy portfolios.Part VI - AI and Machine Learning: What ML can and cannot do, feature engineering, a complete LightGBM pipeline, and reinforcement learning.Part VII - Real Projects: Four complete project bots with source code, setup, and safety controls.Part VIII - Going Live: The pre-flight checklist, common operator mistakes, the legal and tax terrain, and realistic retail-bot returns. Who this book is forProgrammers applying Python to real-world automationAnalysts and quants who want to understand markets at the level of someone who has actually built a botDevelopers comfortable with basic Python - no finance background requiredAnyone who prefers detailed technical treatments to marketing copy What this book is notIt 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.Educational only. Not financial, legal, or tax advice. Thi Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
N° de ref. del artículo 9798195945626
- Título
- Python for Stock and Crypto Automation (Paperback)
- Autor
- Malte Eisenberg
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798195945626
Most books on trading bots promise easy returns. This one promises something more useful: the engineering skill to build, test, and operate a real trading system in Python — and the discipline to know whether to run it with real money at all.
Across 313 pages and 29 hands-on chapters, 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.
What you will build- A complete crypto trading bot — Binance via ccxt, idempotent orders, ATR stops, SQLite, Telegram alerts, graceful shutdown
- A stock trading system using the Alpaca API and a cron-driven architecture
- A backtester that handles fees, slippage, and look-ahead bias correctly
- Strategies in momentum, mean reversion, arbitrage, and portfolio allocation
- An ML pipeline with LightGBM and walk-forward validation
- An RL environment for trading research with Gymnasium
- A paper-trading framework for catching the bugs backtests miss
- A Streamlit dashboard for P&L, drawdown, and strategy attribution
- Production deployment — Docker, systemd, watchdogs, crash recovery
Why this book is different
It treats algorithmic trading as engineering, not a path to riches. 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.
It is honest about what works and what doesn't. 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.
Inside the bookPart I — Foundations: Markets, order books, the strategy landscape, and the risk discipline that does most of the work.
Part II — Setup: A clean Python environment, market data with yfinance and ccxt, financial data in pandas.
Part III — First Strategies: A working moving-average crossover, an honest backtester, and how to improve a strategy without overfitting.
Part IV — Real Bots: Connecting to live exchanges, executing orders safely, running 24/7 with monitoring and crash recovery.
Part V — Advanced Strategies: Momentum, mean reversion, arbitrage, and multi-strategy portfolios.
Part VI — AI and Machine Learning: What ML can and cannot do, feature engineering, a complete LightGBM pipeline, and reinforcement learning.
Part VII — Real Projects: Four complete project bots with source code, setup, and safety controls.
Part VIII — Going Live: The pre-flight checklist, common operator mistakes, the legal and tax terrain, and realistic retail-bot returns.
- Programmers applying Python to real-world automation
- Analysts and quants who want to understand markets at the level of someone who has actually built a bot
- Developers comfortable with basic Python — no finance background required
- Anyone who prefers detailed technical treatments to marketing copy
What this book is not
It 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.
Educational only. Not financial, legal, or tax advice.
“Sinopsis” puede pertenecer a otra edición de este título.
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Vendedor de IberLibro desde 12 de octubre de 2005
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