{"product_id":"hands-on-financial-trading-with-python-a-practical-guide-to-using-zipline-and-other-python-libraries-for-backtesting-trading-strategies-9781838982881","title":"Hands-On Financial Trading with Python: A practical guide to using Zipline and other Python libraries for backtesting trading strategies","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eBuild and backtest your algorithmic trading strategies to gain a true advantage in the market\u003c\/b\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eGet quality insights from market data, stock analysis, and create your own data visualisations\u003c\/li\u003e\n\u003cli\u003eLearn how to navigate the different features in Python’s data analysis libraries\u003c\/li\u003e\n\u003cli\u003eStart systematically approaching quantitative research and strategy generation\/backtesting in algorithmic trading\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eCreating 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.\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003eUsing 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.\u003c\/p\u003e\u003cp\u003eAs you progress, you’ll pick up lots of skills like time series forecasting, covering pmdarima and Facebook Prophet.\u003c\/p\u003e\u003cp\u003eBy 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.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eDiscover how quantitative analysis works by covering financial statistics and ARIMA\u003c\/li\u003e\n\u003cli\u003eUse core Python libraries to perform quantitative research and strategy development using real datasets\u003c\/li\u003e\n\u003cli\u003eUnderstand how to access financial and economic data in Python\u003c\/li\u003e\n\u003cli\u003eImplement effective data visualization with Matplotlib\u003c\/li\u003e\n\u003cli\u003eApply scientific computing and data visualization with popular Python libraries\u003c\/li\u003e\n\u003cli\u003eBuild and deploy backtesting algorithmic trading strategies\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eIf 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eTable of Contents\u003col\u003e\n\u003cli\u003eIntroduction to algorithmic trading\u003c\/li\u003e\n\u003cli\u003eExploratory Data Analysis in Python\u003c\/li\u003e\n\u003cli\u003eHigh-speed Scientific Computing using NumPy\u003c\/li\u003e\n\u003cli\u003eData Manipulation and Analysis with Pandas\u003c\/li\u003e\n\u003cli\u003eData Visualization using Matplotlib\u003c\/li\u003e\n\u003cli\u003eStatistical Estimation, Inference, and Prediction\u003c\/li\u003e\n\u003cli\u003eFinancial Market Data Access in Python\u003c\/li\u003e\n\u003cli\u003eIntroduction to Zipline and PyFolio\u003c\/li\u003e\n\u003cli\u003eFundamental algorithmic trading strategies\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Packt Publishing Limited","offers":[{"title":"Default Title","offer_id":52195385606487,"sku":"9781838982881","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781838982881.jpg?v=1763647389","url":"https:\/\/bookcurl.com\/products\/hands-on-financial-trading-with-python-a-practical-guide-to-using-zipline-and-other-python-libraries-for-backtesting-trading-strategies-9781838982881","provider":"Book Curl","version":"1.0","type":"link"}