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Learn Algorithmic Trading

You're reading from  Learn Algorithmic Trading

Product type Book
Published in Nov 2019
Publisher Packt
ISBN-13 9781789348347
Pages 394 pages
Edition 1st Edition
Languages
Authors (2):
Sebastien Donadio Sebastien Donadio
Profile icon Sebastien Donadio
Sourav Ghosh Sourav Ghosh
Profile icon Sourav Ghosh
View More author details

Table of Contents (16) Chapters

Title Page
Copyright and Credits About Packt Contributors Preface 1. Algorithmic Trading Fundamentals 2. Deciphering the Markets with Technical Analysis 3. Predicting the Markets with Basic Machine Learning 4. Classical Trading Strategies Driven by Human Intuition 5. Sophisticated Algorithmic Strategies 6. Managing the Risk of Algorithmic Strategies 7. Building a Trading System in Python 8. Connecting to Trading Exchanges 9. Creating a Backtester in Python 10. Adapting to Market Participants and Conditions 1. Other Books You May Enjoy

Creating a trading strategy based on momentum and trend following

Momentum strategy uses the trend to predict the future of a price. For instance, if the price of an asset has increased for the last 20 days, it is likely that this price will continue rising. The moving average strategy is one example of momentum strategy.

Momentum strategies assume that the future will follow the past by following an upward or a downward trend (divergence or trend trading). Momentum investment has been used for decades: buying low, selling high, buying high, and selling higher, selling the losers and letting the winners ride; all these techniques are the origin of momentum trading. Momentum investing adopts short-term positions in relation to financial products going up and sells them when they go down. When we use a momentum strategy, we try to be ahead of the market; we trade fast...

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