Pushpak Dagade - Python algorithmic trading cookbook all the recipes you need to implement your own trading strategies in Python

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Pushpak Dagade has been working in the area of algorithmic trading for more than 3 years. He is the co-founder and CEO of AlgoBulls, an algorithmic trading platform. He is also a long-time Pythonista with more than a decade of Python experience. He is a graduate from the Indian Institute of Technology (Delhi) and holds engineering degrees in the fields of computer science, electronics, and physics.

Ratanlal Mahanta is currently working as a quantitative analyst at bittQsrv, a global quantitative research company offering quant models for its investors. He has several years of experience in the modeling and simulation of quantitative trading. Ratanlal holds a master's degree in science in computational finance, and his research areas include quant trading, optimal execution, and high-frequency trading. He has over 9 years' experience in the finance industry and is gifted at solving difficult problems that lie at the intersection of markets, technology, research, and design.

Akhil Jain has a master's degree in computer science from the University of Mumbai. He started his IT career in 2007 in a multi-national company. He worked for 4 years as a Technology Analyst and finally decided to pursue his passion for teaching. He joined his UG alma mater as a lecturer in 2012 and has been teaching ever since. Akhil is using Python in his teachings which spans across the fields of data structures, artificial intelligence, cloud computing, and ethical hacking. He also uses Python extensively to perform stock market analysis and code algorithmic trading strategies. Akhil has also written a book titled Protecting Your Email ID in 2013.

Praxal Shah has a master's degree from IIT Delhi, one of the most reputable universities in India. He has been actively associated with trading derivatives in the Indian stock market for 4 years now and he has been developing a few of his own strategies for options trading, with the help of algo-trading, as a hobby. Praxal believes that this book is a good reference point for anyone who wants to start with algo-trading; this book can help you jump-start your learning as it covers most of the practical aspects of algo-trading.

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Python is a very popular language that is 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 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 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.