Python for Algorithmic Trading – From Idea to Cloud Deployment

Python for Algorithmic Trading – From Idea to Cloud Deployment

Description

epub / 18.77 MB | English
Author: Yves Hilpisch / PAge: 586 / Year:2020

Algorithmic trading, which was once the exclusive domain of institutional actors, is now open to small organizations and individual traders using online platforms. The tool of choice for many merchants today is Python and its powerful package ecosystem. In this practical book, author Yves Hilpisch shows students, academics and professionals how to use Python in the fascinating field of algorithmic trading.
You will learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the largest buying and selling institutions make heavy use of Python. By exploring options for systematically building and implementing automated algorithmic trading strategies, this book will help you level the playing field.

Configure a Python environment suitable for algorithmic trading
Learn how to retrieve financial data from public and proprietary data sources
Explore vectorization for financial analysis with NumPy and pandas
Vectorized master backtesting of different algorithmic trading strategies
Generate market predictions using machine learning and deep learning
Address real-time processing of streaming data with socket scheduling tools
Implement automated algorithmic trading strategies with OANDA and FXCM trading platforms

Category: personal finance Software, algorithm programming, personal finance Software

Trading

So what is trade?

Trade involves the transfer of goods or services from one person or entity to another, often in exchange for money.
Economists refer to a system or network that allows trading as a market.

An early form of trade, barter, saw the direct exchange of goods and services for other goods and services.
Barter involves trading things without the use of money. When either party of barter began to involve precious metals,
these acquired symbolic and practical importance.[citation needed] modern traders usually trade through a medium of exchange,
like money. As a result, the purchase can be separated from selling or earning. The invention of money (and later credit,
paper money and non-physical money) greatly simplified and promoted trade.
Trade between two traders is called bilateral trade, while trade involving more than two traders is called multilateral trade.

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