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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

Strategy performance in backtester versus live markets

In this section, let's first tackle a very common problem encountered by a lot of algorithmic trading participants that lack sophistication in their backtesters/simulators. Since backtesters are a cornerstone in building, analyzing, and comparing algorithmic trading strategies irrespective of position holding times, if backtested results are not realized in live trading markets, it's difficult to get off the ground or continue trading. Typically, the shorter the position holding period and the larger the trading sizes, the greater the chance that simulation results are different from results actually achieved in live trading markets. Backtesters are often the most complex software component in a lot of high frequency trading (HFT) business because of the need to simulate very accurately. Also, the more complex or...

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