Python Algorithmic Trading Cookbook : All the Recipes You Need to Implement Your Own Algorithmic Trading Strategies in Python

Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using Python Key Features Build a strong foundation in algorithmic trading by becoming well-versed with the basics of financial markets Demystify jargon related to understanding and placing multiple types of trading orders Devise trading strategies and increase your odds of making a profit without human intervention Book Description If you want to find out how you can build a solid foundation in algorithmic trading using Python, 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, 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 learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. 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 libraries to conduct key tasks in the algorithmic trading ecosystem. Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice. What you will learn Use Python to set up connectivity with brokers Handle and manipulate time series data using Python Fetch a list of exchanges, segments, financial instruments, and historical data to interact with the real market Understand, fetch, and calculate various types of candles and use them to compute and plot diverse types of technical indicators Develop and improve the performance of algorithmic trading strategies Perform backtesting and paper trading on algorithmic trading strategies Implement real trading in the live hours of stock markets Who this book is for If 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. Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using Python Key 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 without human interventionBook DescriptionIf you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help. Starting by setting up the Python environment for trading and connectivity with brokers, youll then learn the important aspects of financial markets. As you progress, youll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, youll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. Youll 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, youll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem. For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice. 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 BBuild a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using Python/b h4Key Features/h4 ulliBuild a strong foundation in algorithmic trading by becoming well-versed with the basics of financial markets/li liDemystify jargon related to understanding and placing multiple types of trading orders/li liDevise trading strategies and increase your odds of making a profit in stock markets without human intervention/li/ul h4Book Description/h4 Python 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. h4What you will learn/h4 ulliUse Python to set up connectivity with brokers/li liHandle and manipulate time series data using Python/li liFetch a list of exchanges, segments, financial instruments, and historical data to interact with the real market/li liUnderstand, fetch, and calculate various types of candles and use them to compute and plot diverse types of technical indicators/li liDevelop and improve the performance of algorithmic trading strategies/li liPerform backtesting and paper trading on algorithmic trading strategies/li liImplement real trading in the live hours of stock markets/li/ul h4Who this book is for/h4 If 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 Ever wondered what it takes to be an algorithmic trading professional? Look no further, this recipe-based guide will help you uncover various common and not-so-common challenges faced while devising efficient and powerful algo trading strategies. You will implement various Python libraries to conduct key tasks in the algorithmic trading ecosystem.