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Python Algorithmic Trading Cookbook: All the recipes you need to implement your own algorithmic trading strategies in Python

товар №: 37071692

Python Algorithmic Trading Cookbook: All the recipes you need to implement your own algorithmic trading strategies in Python

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товар №: 37071692

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Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using PythonKey FeaturesBuild a strong foundation in algorithmic trading by becoming well-versed with the basics of financial marketsDemystify jargon related to understanding and placing multiple types of trading ordersDevise trading strategies and increase your odds of making a profit in stock markets without human interventionBook DescriptionPython is a very popular language used to build and execute algorithmic trading strategies. If you want to find out how you can build a solid foundation in algorithmic trading using the language, this cookbook is here to help.Starting by setting up the Python environment for trading and connectivity with brokers, you'll then learn the important aspects of financial markets. As you progress through this algorithmic trading book, you'll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you'll discover how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. You'll also uncover challenges faced while devising and executing powerful algorithmic trading strategies from scratch. Later chapters will take you through backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created from the ground up. You'll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders.By the end of this book, you'll be able to use Python for algorithmic trading by implementing Python libraries to conduct key tasks in the algorithmic trading ecosystem.What you will learnUse Python to set up connectivity with brokersHandle and manipulate time series data using PythonFetch a list of exchanges, segments, financial instruments, and historical data to interact with the real marketUnderstand, fetch, and calculate various types of candles and use them to compute and plot diverse types of technical indicatorsDevelop and improve the performance of algorithmic trading strategiesPerform backtesting and paper trading on algorithmic trading strategiesImplement real trading in the live hours of stock marketsWho this book is forIf you are a financial analyst, financial trader, data analyst, algorithmic trader, trading enthusiast or anyone who wants to learn algorithmic trading with Python and important techniques to address challenges faced in the finance domain, this book is for you. Basic working knowledge of the Python programming language is expected. Although fundamental knowledge of trade-related terminologies will be helpful, it is not mandatory.Table of ContentsHandling and Manipulating Date, Time, and Time Series DataStock Markets - Primer on TradingFetching Financial DataComputing Candlesticks and Historical DataComputing and Plotting of Technical IndicatorsPlacing Trading Orders on the ExchangePlacing Bracket and Cover Orders on the ExchangeAlgorithmic Trading Strategies - Code Step-by-StepAlgorithmic Trading - BacktestingAlgorithmic Trading - Paper TradingAlgorithmic Trading - Real TradingAppendix IAppendix IIAppendix III

Publisher	Packt Publishing
Publication date	August 28, 2020
Language	English
Print length	542 pages
ISBN-10	1838989358
ISBN-13	978-1838989354
Item Weight	2.03 pounds (920 grams)
Dimensions	7.5 x 1.23 x 9.25 inches (19.1 x 3.1 x 23.5 cm)

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Python Algorithmic Trading Cookbook: All the recipes you need to implement your own algorithmic trading strategies in Python

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Python Algorithmic Trading Cookbook: All the recipes you need to implement your own algorithmic trading strategies in Python