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Monte-Carlo Backtesting for Algorithmic Trading Strategies 2025-1

Updated October 13, 2025

Udemy — Monte-Carlo Backtesting for Algorithmic Trading Strategies 2025-1

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Description

Monte-Carlo Backtesting for Algorithmic Trading Strategies 2025-1 is a Udemy course taught by Dr Ziad Francis. Language: English; Duration: 5 hours; 49 lessons.

What you will learn

  • The material covers probability.
  • The material covers management.

Course specifications

Publisher
Udemy
Instructors
Dr Ziad Francis
Language
English
Level
Beginner to Advanced
Duration
5 hours
Lecture count
49
Subtitle
None
Quality
720p
Edition
2025-1

Course topics

Video Tutorial
View course topics
Course topics · Monte-Carlo Backtesting for Algorithmic Trading Strategies 2025-1

Prerequisites

  • Prerequisite topics include Python.
  • Prerequisite topics include statistics and probability.
Pictures
Pictures · Monte-Carlo Backtesting for Algorithmic Trading Strategies 2025-1

Introduction video

How to open the files

Extract the files and play the included course media with a compatible player.

Download resources

Choose one edition and keep its parts together. Alternate providers are available when listed.

2025-1 · 720p

Direct downloads

2025-1 · 720p

Archive password

Size

3 GB

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