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Python for Finance Cookbook – Second Edition

You're reading from Python for Finance Cookbook – Second Edition Over 80 powerful recipes for effective financial data analysis

Product type Paperback

Published in Dec 2022

Publisher Packt

ISBN-13 9781803243191

Length 740 pages

Edition 2nd Edition

Languages

Python

Tools

Prophet

Concepts

Data Analysis

Author (1):

Eryk Lewinson

View More author details

Table of Contents (18) Chapters

Preface

1. Acquiring Financial Data

2. Data Preprocessing FREE CHAPTER

3. Visualizing Financial Time Series

4. Exploring Financial Time Series Data

5. Technical Analysis and Building Interactive Dashboards

6. Time Series Analysis and Forecasting

7. Machine Learning-Based Approaches to Time Series Forecasting

8. Multi-Factor Models

9. Modeling Volatility with GARCH Class Models

10. Monte Carlo Simulations in Finance

11. Asset Allocation

12. Backtesting Trading Strategies

13. Applied Machine Learning: Identifying Credit Default

14. Advanced Concepts for Machine Learning Projects

15. Deep Learning in Finance

16. Other Books You May Enjoy

17. Index

Summary

In this chapter, we have learned about technical analysis. We started by calculating some of the most popular technical indicators (and downloading precalculated ones): the SMA, the RSI, and the MACD. We have also explored identifying patterns in candlesticks. Lastly, we learned how to create and deploy an interactive app for technical analysis.

In further chapters, we will put this knowledge into practice by creating and backtesting trading strategies based on the technical indicators we have already covered.

The rest of the chapter is locked

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Authors (1)

Eryk Lewinson

Eryk Lewinson

Eryk Lewinson received his master's degree in Quantitative Finance from Erasmus University Rotterdam. In his professional career, he has gained experience in the practical application of data science methods while working in risk management and data science departments of two "big 4" companies, a Dutch neo-broker and most recently the Netherlands' largest online retailer. Outside of work, he has written over a hundred articles about topics related to data science, which have been viewed more than 3 million times. In his free time, he enjoys playing video games, reading books, and traveling with his girlfriend.

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