Getting Started with Forex Trading Using Python
This is the code repository for Getting Started with Forex Trading Using Python, published by Packt.
Beginner’s guide to the currency market and development of trading algorithms
What is this book about?
This book covers the following exciting features: Explore the forex market organization and operations Understand the sources of alpha and the concept of algo trading Get a grasp on typical risks and ways to mitigate them Understand fundamental and technical analysis Connect to data sources and check the integrity of market data Use API and FIX protocol to send orders Translate trading ideas into code Run reliable backtesting emulating real-world market conditions
If you feel this book is for you, get your copy today!
Instructions and Navigations
All of the code is organized into folders. For example, Chapter04.
The code will look like the following:
class OHLC:
def __init__(self, O, H, L, C):
self.open = O
self.high = H
self.low = L
self.close = C
Following is what you need for this book: This book is for financial traders and python developers who are interested in forex trading. Academic researchers looking to focus on practical applications will find this book useful. This book can also help established fx market professionals who want to take the first steps in algo trading. Familiarity with Python and object-oriented programming within the scope of an online course or self-study is a must. Knowledge of network protocols and interfaces is a plus but not a prerequisite, as is specific knowledge about markets and trading.
With the following software and hardware list you can run all code files present in the book (Chapter 4-14).
Software and Hardware List
| Chapter | Software required | OS required |
|---|---|---|
| 4-14 | Python 3.10 or above | Windows, MacOS,or Linux |
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Get to Know the Author
Alex Krishtop is a quantitative trader and researcher with 20 years of experience in developing automated trading solutions. He is currently the head of trading and research at Edgesense Technologies and CTO at ForexVox Ltd. He develops market models and trading algos for FX, commodities, and crypto. He was one of the first traders who started to use Python as the ultimate environment for quantitative trading and suggested a few approaches to developing trading apps that, today, have become standard among many quant traders. He has worked as a director of education with the Algorithmic Traders Association where he developed an exhaustive course in systematic and algo trading which covers both worlds of quantitative models and discretionary approaches
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