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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

Summary

In this chapter, we explored concepts of generating trading signals, such as support and resistance, based on the intuitive ideas of supply and demand that are fundamental forces that drive market prices. We also briefly explored how you might use support and resistance to implement a simple trading strategy. Then, we looked into a variety of technical analysis indicators, explained the intuition behind them, and implemented and visualized their behavior during different price movements. We also introduced and implemented the ideas behind advanced mathematical approaches, such as Autoregressive (AR), Moving Average (MA), Differentiation (D), AutoCorrelation Function (ACF), and Partial Autocorrelation Function (PACF) for dealing with non-stationary time series datasets. Finally, we briefly introduced an advanced concept such as seasonality, which explains how there...

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