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Mastering Pandas for Finance

You're reading from   Mastering Pandas for Finance Master pandas, an open source Python Data Analysis Library, for financial data analysis

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Product type Paperback
Published in May 2015
Publisher Packt
ISBN-13 9781783985104
Length 298 pages
Edition 1st Edition
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Author (1):
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Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with pandas Using Wakari.io FREE CHAPTER 2. Introducing the Series and DataFrame 3. Reshaping, Reorganizing, and Aggregating 4. Time-series 5. Time-series Stock Data 6. Trading Using Google Trends 7. Algorithmic Trading 8. Working with Options 9. Portfolios and Risk Index

Moving averages


Whether using a momentum or mean-reversion strategy for trading, the analyses will, in one form or another, utilize moving averages of the closing price of stocks. We have seen these before when we looked at calculating a rolling mean. We will now examine several different forms of rolling means and cover several concepts that are important to use in order to make trading decisions based upon how one or more means move over time:

  • Simple moving average

  • Exponential moving average

Simple moving average

A moving average is a technical analysis technique that smooths price data by calculating a constantly updated average price. This average is taken over a specific period of time, ranging from minutes, to days, weeks, and months. The period selected depends on the type of movement of interest, such as making a decision on short-term, medium-term, or long-term investment.

Moving averages give us a means to relate the price data to determine a trend indicator. A moving average does not...

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