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Sinopsis
Discover how to build and backtest algorithmic trading strategies with Zipline
Key Features
- Get to grips with market data and stock analysis and visualize data to gain quality insights
- Find out how to systematically approach quantitative research and strategy generation/backtesting in algorithmic trading
- Learn how to navigate the different features in Python's data analysis libraries
Book Description
Algorithmic trading helps you stay ahead of the markets by devising strategies in quantitative analysis to gain profits and cut losses.
The book starts by introducing you to algorithmic trading and explaining why Python is the best platform for developing trading strategies. You'll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics. You'll also focus on time series forecasting, covering pmdarima and Facebook Prophet.
By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strategies, and perform portfolio optimization.
What you will learn
- Discover how quantitative analysis works by covering financial statistics and ARIMA
- Use core Python libraries to perform quantitative research and strategy development using real datasets
- Understand how to access financial and economic data in Python
- Implement effective data visualization with Matplotlib
- Apply scientific computing and data visualization with popular Python libraries
- Build and deploy backtesting algorithmic trading strategies
Who this book is for
This book is for data analysts and financial traders who want to explore how to design algorithmic trading strategies using Python's core libraries. If you are looking for a practical guide to backtesting algorithmic trading strategies and building your own strategies, then this book is for you. Beginner-level working knowledge of Python programming and statistics will be helpful.
Table of Contents
- Introduction to algorithmic trading
- Exploratory Data Analysis in Python
- High-speed Scientific Computing using NumPy
- Data Manipulation and Analysis with Pandas
- Data Visualization using Matplotlib
- Statistical Estimation, Inference, and Prediction
- Financial Market Data Access in Python
- Introduction to Zipline and PyFolio
- Fundamental algorithmic trading strategies
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca de los autores
Jiri Pik is an artificial intelligence architect & strategist who works with major investment banks, hedge funds, and other players. He has architected and delivered breakthrough trading, portfolio, and risk management systems, as well as decision support systems, across numerous industries. Jiri's consulting firm, Jiri Pik-RocketEdge, provides its clients with certified expertise, judgment, and execution at the speed of light.
Sourav Ghosh has worked in several proprietary high-frequency algorithmic trading firms over the last decade. He has built and deployed extremely low latency, high throughput automated trading systems for trading exchanges around the world, across multiple asset classes. He specializes in statistical arbitrage market-making, and pairs trading strategies for the most liquid global futures contracts. He works as a Senior Quantitative Developer at a trading firm in Chicago. He holds a Masters in Computer Science from the University of Southern California. His areas of interest include Computer Architecture, FinTech, Probability Theory and Stochastic Processes, Statistical Learning and Inference Methods, and Natural Language Processing.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies Pik, Jiri and Ghosh, Sourav
Publicado por
Packt Publishing, 2021
ISBN 10: 1838982884
ISBN 13: 9781838982881
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Librería: online-buch-de, Dozwil, Suiza
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Paperback. Condición: gebraucht; wie neu. Nº de ref. del artículo: 301-5-1-23
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Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies
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Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies
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Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies (Paperback or Softback)
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Packt Publishing 4/29/2021, 2021
ISBN 10: 1838982884
ISBN 13: 9781838982881
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Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies
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Hands-On Algorithmic Trading with Python: A practical guide to using NumPy, pandas, Matplotlib, and Quantopian for automated trading
Publicado por
Packt Publishing Limited, 2021
ISBN 10: 1838982884
ISBN 13: 9781838982881
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Hands-On Financial Trading with Python
Publicado por
Packt Publishing Limited, GB, 2021
ISBN 10: 1838982884
ISBN 13: 9781838982881
Nuevo
Paperback
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. Build and backtest your algorithmic trading strategies to gain a true advantage in the marketKey FeaturesGet quality insights from market data, stock analysis, and create your own data visualisationsLearn how to navigate the different features in Python's data analysis librariesStart systematically approaching quantitative research and strategy generation/backtesting in algorithmic tradingBook DescriptionCreating an effective system to automate your trading can help you achieve two of every trader's key goals; saving time and making money. But to devise a system that will work for you, you need guidance to show you the ropes around building a system and monitoring its performance. This is where Hands-on Financial Trading with Python can give you the advantage.This practical Python book will introduce you to Python and tell you exactly why it's the best platform for developing trading strategies. You'll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources.Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics.As you progress, you'll pick up lots of skills like time series forecasting, covering pmdarima and Facebook Prophet.By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strategies, and perform portfolio optimization to help you get -and stay-ahead of the markets.What you will learnDiscover how quantitative analysis works by covering financial statistics and ARIMAUse core Python libraries to perform quantitative research and strategy development using real datasetsUnderstand how to access financial and economic data in PythonImplement effective data visualization with MatplotlibApply scientific computing and data visualization with popular Python librariesBuild and deploy backtesting algorithmic trading strategiesWho this book is forIf you're a financial trader or a data analyst who wants a hands-on introduction to designing algorithmic trading strategies, then this book is for you. You don't have to be a fully-fledged programmer to dive into this book, but knowing how to use Python's core libraries and a solid grasp on statistics will help you get the most out of this book. Nº de ref. del artículo: LU-9781838982881
Cantidad disponible: Más de 20 disponibles
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Hands-On Financial Trading with Python
Publicado por
Packt Publishing Limited, GB, 2021
ISBN 10: 1838982884
ISBN 13: 9781838982881
Nuevo
Paperback
Librería: Rarewaves.com UK, London, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. Build and backtest your algorithmic trading strategies to gain a true advantage in the marketKey FeaturesGet quality insights from market data, stock analysis, and create your own data visualisationsLearn how to navigate the different features in Python's data analysis librariesStart systematically approaching quantitative research and strategy generation/backtesting in algorithmic tradingBook DescriptionCreating an effective system to automate your trading can help you achieve two of every trader's key goals; saving time and making money. But to devise a system that will work for you, you need guidance to show you the ropes around building a system and monitoring its performance. This is where Hands-on Financial Trading with Python can give you the advantage.This practical Python book will introduce you to Python and tell you exactly why it's the best platform for developing trading strategies. You'll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources.Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics.As you progress, you'll pick up lots of skills like time series forecasting, covering pmdarima and Facebook Prophet.By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strategies, and perform portfolio optimization to help you get -and stay-ahead of the markets.What you will learnDiscover how quantitative analysis works by covering financial statistics and ARIMAUse core Python libraries to perform quantitative research and strategy development using real datasetsUnderstand how to access financial and economic data in PythonImplement effective data visualization with MatplotlibApply scientific computing and data visualization with popular Python librariesBuild and deploy backtesting algorithmic trading strategiesWho this book is forIf you're a financial trader or a data analyst who wants a hands-on introduction to designing algorithmic trading strategies, then this book is for you. You don't have to be a fully-fledged programmer to dive into this book, but knowing how to use Python's core libraries and a solid grasp on statistics will help you get the most out of this book. Nº de ref. del artículo: LU-9781838982881
Cantidad disponible: Más de 20 disponibles
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Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies
Librería: Chiron Media, Wallingford, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9781838982881
Cantidad disponible: 10 disponibles
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Hands-On Financial Trading with Python
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Print on Demand pp. 360. Nº de ref. del artículo: 389387012
Cantidad disponible: 4 disponibles