Python for Algorithmic Trading Cookbook (Paperback)
Idioma: inglés
Editorial: Packt Publishing Limited, Birmingham, 2026
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de AbeBooks desde 12 de octubre de 2005
Condición: Nuevo
EUR 55,29
Cantidad disponible: 1 disponibles
Añadir al carritoDescripción del artículo del vendedor
Paperback. Transform financial market data into algorithmic trading strategies and deploy them into a live trading environment with recipes leveraging modern Python libraries like pandas, Polars, and DuckDBKey FeaturesBacktest Python trading strategies with VectorBT and Zipline Reloaded using walk-forward analysisMeasure risk, performance, and alpha quality with Alphalens Reloaded and PyFolioAutomate strategy execution with the Interactive Brokers API for live tradingBook DescriptionGet practical Python code for algorithmic trading from Jason Strimpel, founder of PyQuant News and a veteran of global trading, risk management, and machine learning. This hands-on guide shows you how to turn market data into tested, automated trading strategies using modern Python tools.Youll source equities, options, and futures data with OpenBB and FMP, then accelerate Python for data analysis workflows with Pandas, Polars, Parquet, DuckDB, and ArcticDB. Youll visualize market data with Matplotlib, Seaborn, and Plotly Dash before moving into alpha research and quantitative trading techniques.Detailed recipes help you engineer alpha factors with PCA, regression, Fama-French models, SciPy, and statsmodels. Youll design and evaluate quantitative trading strategies using VectorBT, Zipline Reloaded, Alphalens Reloaded, and PyFolio, including walk-forward analysis and risk-aware performance review.For execution, youll connect to the Interactive Brokers API to stream ticks, manage orders, retrieve portfolio state, and monitor live trading workflows. By the end, youll have reusable Python templates for researching, backtesting, evaluating, and operating algorithmic trading strategies.What you will learnAcquire equities, futures, and options data using OpenBB and FMPProcess and analyze time series data efficiently with pandas and PolarsStore and query massive datasets with ArcticDB, DuckDB, and ParquetVisualize trading data using Matplotlib, Seaborn, and Plotly DashEngineer alpha factors using PCA, regression, and Fama-French modelsBacktest strategies with VectorBT and Zipline Reloaded frameworksEvaluate performance and risk using Alphalens Reloaded and PyFolioDeploy and automate live trades using the Interactive Brokers APIWho this book is forThis book is for traders, investors, and Python enthusiasts who need practical code to acquire, analyze, and automate algorithmic trading strategies using modern, high-performance Python tools. Readers should have some exposure to investing or trading, a basic familiarity with Python syntax, and a basic knowledge of libraries such as Pandas and NumPy. This book is ideal for discretionary traders who want to adopt a systematic approach and apply professional techniques, such as factor modeling, backtesting, and execution automation, to trading workflows using Python. Explore Python code recipes to use market data for designing and deploying algorithmic trading strategies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …
N° de ref. del artículo 9781806662036
- Título
- Python for Algorithmic Trading Cookbook (Paperback)
- Autor
- Jason Strimpel
- Editorial
- Packt Publishing Limited, Birmingham
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 1806662035
- ISBN 13
- 9781806662036
- Edición
- 2ª Edición
Transform financial market data into algorithmic trading strategies and deploy them into a live trading environment with recipes leveraging modern Python libraries like pandas, Polars, and DuckDB
Key Features
- Backtest Python trading strategies with VectorBT and Zipline Reloaded using walk-forward analysis
- Measure risk, performance, and alpha quality with Alphalens Reloaded and PyFolio
- Automate strategy execution with the Interactive Brokers API for live trading
Book Description
Get practical Python code for algorithmic trading from Jason Strimpel, founder of PyQuant News and a veteran of global trading, risk management, and machine learning. This hands-on guide shows you how to turn market data into tested, automated trading strategies using modern Python tools.
You’ll source equities, options, and futures data with OpenBB and FMP, then accelerate Python for data analysis workflows with Pandas, Polars, Parquet, DuckDB, and ArcticDB. You’ll visualize market data with Matplotlib, Seaborn, and Plotly Dash before moving into alpha research and quantitative trading techniques.
Detailed recipes help you engineer alpha factors with PCA, regression, Fama-French models, SciPy, and statsmodels. You’ll design and evaluate quantitative trading strategies using VectorBT, Zipline Reloaded, Alphalens Reloaded, and PyFolio, including walk-forward analysis and risk-aware performance review.
For execution, you’ll connect to the Interactive Brokers API to stream ticks, manage orders, retrieve portfolio state, and monitor live trading workflows. By the end, you’ll have reusable Python templates for researching, backtesting, evaluating, and operating algorithmic trading strategies.
What you will learn
- Acquire equities, futures, and options data using OpenBB and FMP
- Process and analyze time series data efficiently with pandas and Polars
- Store and query massive datasets with ArcticDB, DuckDB, and Parquet
- Visualize trading data using Matplotlib, Seaborn, and Plotly Dash
- Engineer alpha factors using PCA, regression, and Fama-French models
- Backtest strategies with VectorBT and Zipline Reloaded frameworks
- Evaluate performance and risk using Alphalens Reloaded and PyFolio
- Deploy and automate live trades using the Interactive Brokers API
Who this book is for
This book is for traders, investors, and Python enthusiasts who need practical code to acquire, analyze, and automate algorithmic trading strategies using modern, high-performance Python tools. Readers should have some exposure to investing or trading, a basic familiarity with Python syntax, and a basic knowledge of libraries such as Pandas and NumPy. This book is ideal for discretionary traders who want to adopt a systematic approach and apply professional techniques, such as factor modeling, backtesting, and execution automation, to trading workflows using Python.
Table of Contents
- Acquire Free Financial Market Data with Cutting-Edge Python Libraries
- Analyze and Transform Financial Market Data with pandas
- Accelerate Financial Market Data Analysis with Polars and DuckDB
- Visualize Financial Market Data with Matplotlib, Seaborn, and Plotly Dash
- Build a Quantamental Research Database with Hedge Fund Tools
- Conduct Market Research with Advanced AI and Agentic Workflows
- Build Alpha Factors for Stock Portfolios
- Vector-Based Backtesting with VectorBT
- Event-Based Backtesting Factor Portfolios with Zipline Reloaded
- Evaluate Factor Risk and Performance with Alphalens Reloaded
- Assess Backtest Risk and Performance Metrics with Pyfolio
(N.B. Please use the Read Sample option to see further chapters)
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Jason Strimpel is the founder of PyQuant News, co-founder of Quant Science, and Managing Director of Global AI and Advanced Analytics at a top-tier consulting firm. His 20+ year career spans trading, quant risk, ML, and enterprise data across Chicago, London, and Singapore. At BP, he managed $20B in counterparty credit exposure, then led quant engineering globally for BP's derivatives book. In Singapore, he led engineering, data science, and analytics at Rio Tinto Commercial, scaling the team behind its $60B commodities trading business. At AWS, he joined the firm's GenAI operations organization, building internally facing GenAI tools. He holds a Master's in Quantitative Finance from Illinois Institute of Technology.
“Acerca de” puede pertenecer a otra edición de este título.
Grand Eagle Retail
Bensenville, IL, Estados Unidos de America
Vendedor de AbeBooks desde 12 de octubre de 2005
Tarifas de envío en Estados Unidos de America
| Artículo | De 6 a 14 días hábiles | De 6 a 16 días hábiles |
|---|---|---|
| Primer artículo | EUR 0,00 | EUR 0,00 |
Métodos de pago
Información empresarial del vendedor
APOLLO ONLINE CORP.
605 Geddes Street
Wilmington, DE Estados Unidos de America 19805
Condiciones de venta
We guarantee the condition of every book as it¿s described on the Abebooks web sites. If you¿ve changed
your mind about a book that you¿ve ordered, please use the Ask bookseller a question link to contact us
and we¿ll respond within 2 business days.
Books ship from California and Michigan.
Derecho al desistimiento
Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona física que actúe con fines ajenos a su actividad comercial, empresarial, oficio o profesión.
Información sobre el derecho de desistimiento
Derecho legal de desistimiento
Tiene derecho a rescindir este contrato en un plazo de 14 días sin dar ningún motivo.
El periodo de desistimiento vencerá a los 14 días desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesión física del último bien o del último lote o pieza.
Para ejercer el derecho de desistimiento, complete de forma electrónica y envíe una declaración clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a través de un soporte duradero (por ejemplo, por correo electrónico).
Para cumplir con el plazo de desistimiento, basta con que envíe su comunicación relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.
Efectos del desistimiento
Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de envío (excepto los gastos adicionales que surjan si elige un tipo de envío que no sea el tipo de envío estándar más económico que ofrecemos).
Podemos hacer una deducción del reembolso por la pérdida de valor de cualquier bien suministrado, si la pérdida es el resultado de una manipulación innecesaria por su parte.
Efectuaremos el reembolso sin demoras indebidas y, a más tardar, 14 días después de que se nos informe de su decisión de rescindir este contrato.
Efectuaremos el reembolso utilizando el mismo medio de pago que utilizó para la transacción inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrirá en ningún cargo como resultado de dicho reembolso.
Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.
Deberá devolver los bienes o entregarlos a Grand Eagle Retail, Bensenville, Illinois, U.S.A., sin demoras indebidas y, en cualquier caso, en un plazo máximo de 14 días a partir del día en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercancía antes de que venza el periodo de 14 días. Tendrá que asumir los gastos directos de devolución de los bienes. Usted solo es responsable de la disminución del valor de los bienes como resultado de una manipulación distinta a la necesaria para establecer la naturaleza, las características y el funcionamiento de los bienes.
Excepciones al derecho de desistimiento
El derecho de desistimiento no se aplica a lo siguiente:
- La entrega de periódicos, diarios o revistas, con la excepción de los contratos de suscripción; y
- El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, aceptó que podíamos empezar a entregarlo y que no podría desistir una vez iniciada la entrega.
Condiciones de envío
Orders usually ship within 2 business days. All books within the US ship free of charge. Delivery is 4-14 business days anywhere in the United States.
Books ship from California and Michigan.
If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.