{"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":"\u003cp\u003e\u003cstrong\u003eDiscover how to build and backtest algorithmic trading strategies with Zipline\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGet to grips with market data and stock analysis and visualize data to gain quality insights\u003c\/li\u003e\n\u003cli\u003eFind out how to systematically approach quantitative research and strategy generation\/backtesting in algorithmic trading\u003c\/li\u003e\n\u003cli\u003eLearn how to navigate the different features in Python's data analysis libraries\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eAlgorithmic trading helps you stay ahead of the markets by devising strategies in quantitative analysis to gain profits and cut losses.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e \u003c\/p\u003e\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\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003ci\u003ePik, Jiri:\u003c\/i\u003e\u003c\/b\u003e - Jiri Pik is an artificial intelligence architect \u0026amp; 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.\u003cb\u003e\u003ci\u003eGhosh, Sourav:\u003c\/i\u003e\u003c\/b\u003e - 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.\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50448809296146,"sku":"9781838982881","price":43.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_d7bf19df-1be8-4c0e-99a7-eace565a699e.jpg?v=1729738413","url":"https:\/\/surprise-castle.myshopify.com\/products\/hands-on-financial-trading-with-python-a-practical-guide-to-using-zipline-and-other-python-libraries-for-backtesting-trading-strategies-9781838982881","provider":"Surprise Castle","version":"1.0","type":"link"}