Quantitative Trading Strategies Using Python

English, Peng Liu, 2023
Delivered between Sat, 17.5. and Wed, 21.5.
More than 10 items in stock at supplier

Product details

The book "Quantitative Trading Strategies Using Python" offers a comprehensive introduction to the world of quantitative trading and demonstrates how to develop trading models and strategies from scratch using Python and popular libraries. It covers fundamental trading concepts, including electronic markets, risk management, and the use of futures. Readers are guided through practical strategies and step-by-step implementations that encompass a variety of topics, including data analysis, algorithmic trading, backtesting, and machine learning. The clear and concise writing style makes it easier to understand complex topics and provides numerous examples and exercises to deepen the key concepts. This book is a valuable resource for both experienced traders looking to automate their strategies and beginners interested in quantitative trading.

Key specifications

Language
English
topic
Economy & Law
Subtopic
Programming
Author
Peng Liu
Number of pages
352
Book cover
Paperback
Year
2023
Item number
47985780

General information

Publisher
Apress
Category
Reference books
Release date
10.9.2023

Book properties

topic
Economy & Law
Subtopic
Programming
Language
English
Author
Peng Liu
Year
2023
Number of pages
352
Edition
1
Book cover
Paperback
Year
2023

Voluntary climate contribution

CO₂-Emission
Climate contribution

Product dimensions

Height
250 mm
Width
170 mm

30-day right of return if unopened
24 Months Warranty (Bring-in)

Compare products

Goes with

Reviews & Ratings

Warranty score

How often does a product of this brand in the «Reference books» category have a defect within the first 24 months?

Source: Digitec Galaxus
  • Apress
    Not enough data
  • 1.Anaconda
    0 %
  • 1.Ariston
    0 %
  • 1.Avery Publishing Group
    0 %
  • 1.Beltz
    0 %

Warranty case duration

How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?

Source: Digitec Galaxus
  • Apress
    Not enough data
  • Anaconda
    Not enough data
  • Ariston
    Not enough data
  • Avery Publishing Group
    Not enough data
  • Beck C.H.
    Not enough data

Unfortunately, we don't have enough data for this category yet.

Return rate

How often is a product of this brand in the «Reference books» category returned?

Source: Digitec Galaxus
  • Apress
    Not enough data
  • 1.Ariston
    0 %
  • 1.Beltz
    0 %
  • 1.Econ
    0 %
  • 1.Eulogia
    0 %
Source: Digitec Galaxus