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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

Creating trading signals based on fundamental technical analysis

This section will show you how to use technical analysis to build trading signals. We will start with one of the most common methods, the simple moving average, and we will discuss more advanced techniques along the way. Here is a list of the signals we will cover:

  • Simple Moving Average (SMA)
  • Exponential Moving Average (EMA)
  • Absolute Price Oscillator (APO)
  • Moving Average Convergence Divergence (MACD)
  • Bollinger Bands (BBANDS)
  • Relative Strength Indicator (RSI)
  • Standard Deviation (STDEV)
  • Momentum (MOM)

Simple moving average

Simple moving average, which we will refer to as SMA, is a basic technical analysis indicator. The simple moving average, as you may have...

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