Krishtop Getting Started with Forex Trading Using Python

Beginner's guide to the currency market and development of trading algorithms
1. Auflage 2023
ISBN: 978-1-80461-353-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 384 Seiten

No detailed description available for "Getting Started with Forex Trading Using Python".

Autoren/Hrsg.

Krishtop, Alex

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Digital Lifestyle Online Banking & Finance
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Table of Contents - Developing Trading Strategies – Why They Are Different
- Using Python for Trading Strategies
- FX Market Overview from a Developer's Standpoint
- Trading Application – What's Inside?
- Retrieving and Handling Market Data with Python
- Basics of Fundamental Analysis and Its Possible Use in FX Trading
- Technical Analysis and Its Implementation in Python
- Data Visualization in FX Trading with Python
- Trading Strategies and Their Core Elements
- Types of Orders and Their Simulation in Python
- Backtesting and Theoretical Performance
- Sample Strategy – Trend-Following
- To Trade or Not to Trade – Performance Analysis
- Where to Go Now?

Über Autor(innen)

Krishtop Alex:

Alexey 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 algorithms for FX, commodities, and crypto. He was one of the first traders who started using 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 the worlds of both quantitative models and discretionary approaches.