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Learn Algorithmic Trading

You're reading from   Learn Algorithmic Trading Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781789348347
Length 394 pages
Edition 1st Edition
Languages
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Authors (2):
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Sebastien Donadio Sebastien Donadio
Author Profile Icon Sebastien Donadio
Sebastien Donadio
Sourav Ghosh Sourav Ghosh
Author Profile Icon Sourav Ghosh
Sourav Ghosh
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction and Environment Setup FREE CHAPTER
2. Algorithmic Trading Fundamentals 3. Section 2: Trading Signal Generation and Strategies
4. Deciphering the Markets with Technical Analysis 5. Predicting the Markets with Basic Machine Learning 6. Section 3: Algorithmic Trading Strategies
7. Classical Trading Strategies Driven by Human Intuition 8. Sophisticated Algorithmic Strategies 9. Managing the Risk of Algorithmic Strategies 10. Section 4: Building a Trading System
11. Building a Trading System in Python 12. Connecting to Trading Exchanges 13. Creating a Backtester in Python 14. Section 5: Challenges in Algorithmic Trading
15. Adapting to Market Participants and Conditions 16. Other Books You May Enjoy

Why are we trading?

From the Roman era through to the present day, trading is an inherent part of humankind. Buying raw materials when the price is low to resell it when the price is high has been a part of many cultures. In ancient Rome, the rich Romans used the Roman Forum to exchange currencies, bonds, and investments. In the 14th century, traders negotiated government debts in Venice. The earliest form of the stock exchange was created in Antwerp, Belgium, in 1531. Traders used to meet regularly to exchange promissory notes and bonds. The conquests of new worlds entailed a high cost, but also a good return. The Dutch East India Company in 1602 opened their capital for investors to participate in this costly project with a high potential return. During the same time period, a well-known tulip was sold everywhere in the world, creating a profitable market for investors and sellers...

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