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Getting Started with Forex Trading Using Python

You're reading from   Getting Started with Forex Trading Using Python Beginner's guide to the currency market and development of trading algorithms

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781804616857
Length 384 pages
Edition 1st Edition
Languages
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Author (1):
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Alex Krishtop Alex Krishtop
Author Profile Icon Alex Krishtop
Alex Krishtop
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Introduction to FX Trading Strategy Development
2. Chapter 1: Developing Trading Strategies – Why They Are Different FREE CHAPTER 3. Chapter 2: Using Python for Trading Strategies 4. Chapter 3: FX Market Overview from a Developer's Standpoint 5. Part 2: General Architecture of a Trading Application and A Detailed Study of Its Components
6. Chapter 4: Trading Application: What’s Inside? 7. Chapter 5: Retrieving and Handling Market Data with Python 8. Chapter 6: Basics of Fundamental Analysis and Its Possible Use in FX Trading 9. Chapter 7: Technical Analysis and Its Implementation in Python 10. Chapter 8: Data Visualization in FX Trading with Python 11. Part 3: Orders, Trading Strategies, and Their Performance
12. Chapter 9: Trading Strategies and Their Core Elements 13. Chapter 10: Types of Orders and Their Simulation in Python 14. Chapter 11: Backtesting and Theoretical Performance 15. Part 4: Strategies, Performance Analysis, and Vistas
16. Chapter 12: Sample Strategy – Trend-Following 17. Chapter 13: To Trade or Not to Trade – Performance Analysis 18. Chapter 14: Where to Go Now? 19. Index 20. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

active trading 5

aggregation 50, 51

algorithmic (algo) 197

algo trading

pros and cons 345, 346

risks 343

alpha 198-200

in investment and trading 306-308

alpha classics 208

breakouts 214-216

mean reversion 210-214

trend following 208-210

arbitrage 5, 51, 216, 217

arbitrage strategies 37

arbitrageurs 51

asset 4

associated risks

profiting 220

automated trading 7

average trade 298, 299

averaging down 342

B

backends 158

backtesting 22, 23, 260, 261

equity curve 269-276

in Python 23

order execution, emulating 266-269

purpose 23

statistics 269-276

threads, syncing with events 261-263

with historical data feed 264-266

bank indices 202-204

bar charts

creating, with mplfinance 175

creating, with...

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