Python Algorithmic Trading Cookbook Book [PDF] Download

Download the fantastic book titled Python Algorithmic Trading Cookbook written by Pushpak Dagade, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Python Algorithmic Trading Cookbook", which was released on 28 August 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Python Algorithmic Trading Cookbook by Pushpak Dagade PDF

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 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 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 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.


Detail About Python Algorithmic Trading Cookbook PDF

  • Author : Pushpak Dagade
  • Publisher : Packt Publishing Ltd
  • Genre : Computers
  • Total Pages : 528 pages
  • ISBN : 1838982515
  • PDF File Size : 48,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Python Algorithmic Trading Cookbook

Python Algorithmic Trading Cookbook
  • Publisher : Packt Publishing Ltd
  • File Size : 41,7 Mb
  • Release Date : 28 August 2020
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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

Python for Algorithmic Trading

Python for Algorithmic Trading
  • Publisher : O'Reilly Media
  • File Size : 20,5 Mb
  • Release Date : 12 November 2020
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Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is

Python for Finance Cookbook

Python for Finance Cookbook
  • Publisher : Packt Publishing Ltd
  • File Size : 45,5 Mb
  • Release Date : 31 January 2020
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Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial

Hands-On Financial Trading with Python

Hands-On Financial Trading with Python
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  • File Size : 52,6 Mb
  • Release Date : 29 April 2021
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Build and backtest your algorithmic trading strategies to gain a true advantage in the market Key FeaturesGet quality insights from market data, stock analysis, and create your own data visualisationsLearn

Machine Learning for Algorithmic Trading

Machine Learning for Algorithmic Trading
  • Publisher : Packt Publishing Ltd
  • File Size : 27,9 Mb
  • Release Date : 31 July 2020
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Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print

Python for Algorithmic Trading

Python for Algorithmic Trading
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 50,5 Mb
  • Release Date : 12 November 2020
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Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is

Hands-On Machine Learning for Algorithmic Trading

Hands-On Machine Learning for Algorithmic Trading
  • Publisher : Packt Publishing Ltd
  • File Size : 48,9 Mb
  • Release Date : 31 December 2018
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Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras Key FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design

Learn Algorithmic Trading

Learn Algorithmic Trading
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  • File Size : 53,5 Mb
  • Release Date : 07 November 2019
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Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategies Key Features Understand the power of algorithmic trading in

Python for Finance

Python for Finance
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 36,6 Mb
  • Release Date : 05 December 2018
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The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management

Getting Started with Forex Trading Using Python

Getting Started with Forex Trading Using Python
  • Publisher : Packt Publishing Ltd
  • File Size : 49,5 Mb
  • Release Date : 17 March 2023
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Discover the inner workings of today's forex market, the essential risks in forex algo trading, and how to mitigate them Key FeaturesBuild trading applications with research and without advanced Python