Algorithmic Trading A-Z with Python, Machine Learning & AWS92% OFF Discount Coupon

Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.

4.4 out of 5
46,646 students
Created by Alexander Hagmann
English
Updated January 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Algorithmic Trading A-Z with Python, Machine Learning & AWS before you enroll:

Course Name: Algorithmic Trading A-Z with Python, Machine Learning & AWS
Platform: Udemy
Instructor: Alexander Hagmann
Coupon Last Verified: January 4, 2026
Level: All Levels
Topic: Finance & Accounting
Subtopic: Python
Total Time: 44h 30m of video content
Language: English
Access Type: Unlimited lifetime access + updates
Certificate: Included upon completion from Udemy
Main Skills: Build automated Trading Bots with Python and Amazon Web Services (AWS) · Create powerful and unique Trading Strategies based on Technical Indicators and Machine Learning / Deep Learning. · Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing with paper money.
Requirements: No prior Python knowledge required. This course provides a Python Crash Course. · No prior Finance/Trading knowledge required. This course explains the Basics.
Current Price: $9.99 (was $119.99). You save $110.00 with 92% discount.
How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Algorithmic Trading A-Z with Python, Machine Learning & AWS, you'll have these practical skills:

Build automated Trading Bots with Python and Amazon Web Services (AWS) .
Create powerful and unique Trading Strategies based on Technical Indicators and Machine Learning / Deep Learning. .
Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing with paper money. .
Fully automate and schedule your Trades on a virtual Server in the AWS Cloud. .
Truly Data-driven Trading and Investing. .
Python Coding and Object Oriented Programming (OOP) in a way that everybody understands it. .
Coding with Numpy, Pandas, Matplotlib, scikit-learn, Keras and Tensorflow. .
Understand Day Trading A-Z: Spread, Pips, Margin, Leverage, Bid and Ask Price, Order Types, Charts & more. .
Day Trading with Brokers OANDA, Interactive Brokers (IBKR) and FXCM. .
Stream high-frequency real-time Data. .
Understand, analyze, control and limit Trading Costs. .
Use powerful Broker APIs and connect with Python.

What You Need Before Starting

Before enrolling in Algorithmic Trading A-Z with Python, Machine Learning & AWS, make sure you have:

No prior Python knowledge required. This course provides a Python Crash Course.
No prior Finance/Trading knowledge required. This course explains the Basics.
A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
An internet connection capable of streaming HD videos.
Some high school level math skills would be great (not mandatory, but it helps)

About This Udemy Course

The following is the full official course description for Algorithmic Trading A-Z with Python, Machine Learning & AWS as published on Udemy by instructor Alexander Hagmann:

Welcome to the most comprehensive Algorithmic Trading Course. It´s the first 100% Data-driven Trading Course!

Algorithmic Trading A-Z with Python, Machine Learning & AWS Course fully revised and updated in October 2025 with 100+ new or updated Lectures

Did you know that 75% of retail Traders lose money with Day Trading? (some sources say >95%)

For me as a Data Scientist and experienced Finance Professional this is not a surprise. Day Traders typically do not know/follow the five fundamental rules of (Day) Trading. This Course covers them all in detail!

1. Know and understand the Day Trading Business

Don´t start Trading if you are not familiar with terms like Bid-Ask Spread, Pips, Leverage, Margin Requirement, Half-Spread Costs, etc.

Part 1 of this course is all about Day Trading A-Z with the Brokers Oanda, Interactive Brokers, and FXCM. It deeply explains the mechanics, terms, and rules of Day Trading (covering Forex, Stocks, Indices, Commodities, Baskets, and more).

2. Use powerful and unique Trading Strategies

You need to have a Trading Strategy. Intuition or gut feeling is not a successful strategy in the long run (at least in 99.9% of all cases). Relying on simple Technical Rules doesn´t work either because everyone uses them.

You will learn how to develop more complex and unique Trading Strategies with Python. We will combine simple and also more complex Technical Indicators and we will also create Machine Learning- and Deep Learning- powered Strategies. The course covers all required coding skills (Python, Numpy, Pandas, Matplotlib, scikit-learn, Keras, Tensorflow) from scratch in a very practical manner.

3. Test your Strategies before you invest real money (Backtesting / Forward Testing)

Is your Trading Strategy profitable? You should rigorously test your strategy before 'going live'.

This course is the most comprehensive and rigorous Backtesting / Forward Testing course that you can find.

You will learn how to apply Vectorized Backtesting techniques, Iterative Backtesting techniques (event-driven), live Testing with play money, and more. And I will explain the difference between Backtesting and Forward Testing and show you what to use when. The backtesting techniques and frameworks covered in the course can be applied to long-term investment strategies as well!

4. Take into account Trading Costs - it´s all about Trading Costs!

"Trading with zero commissions? Great!" ... Well, there is still the Bid-Ask-Spread and even if 2 Pips seem to be very low, it isn´t!

The course demonstrates that finding profitable Trading Strategies before Trading Costs is simple. It´s way more challenging to find profitable Strategies after Trading Costs! Learn how to include Trading Costs into your Strategy and into Strategy Backtesting / Forward Testing. And most important: Learn how you can control and reduce Trading Costs.

5. Automate your Trades

Manual Trading is error-prone, time-consuming, and leaves room for emotional decision-making.

This course teaches how to implement and automate your Trading Strategies with Python, powerful Broker APIs, and Amazon Web Services (AWS). Create your own Trading Bot and fully automate/schedule your trading sessions in the AWS Cloud!

Finally... this is more than just a course on automated Day Trading:

  • the techniques and frameworks covered can be applied to long-term investing as well.
  • it´s an in-depth Python Course that goes beyond what you can typically see in other courses. Create Software with Python and run it in real-time on a virtual Server (AWS)!
  • we will feed Machine Learning & Deep Learning Algorithms with real-time data and take ML/DL-based actions in real-time!

What are you waiting for? Join now. As always, there is no risk for you as I provide a 30-Days-Money-Back Guarantee!

Thanks and looking forward to seeing you in the Course!

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Is the Algorithmic Trading A-Z with Python, Machine Learning & AWS Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.Last updated: January 4, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Algorithmic Trading A-Z with Python, Machine Learning & AWS is a high-value resource for learners seeking to build skills inFinance & Accounting. Taught by Alexander Hagmann on Udemy, the 44h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 92%, from $119.99 to $9.99, removing the primary financial barrier to enrollment.

What We Like (Pros)

  • Verified 92% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.4 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 46,646 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Algorithmic Trading A-Z with Python, Machine Learning & AWS:

  • The depth of Finance & Accounting coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing

Course Rating Summary

Algorithmic Trading A-Z with Python, Machine Learning & AWS Course holds an aggregate rating of 4.4 out of 5 based on 46,646 student reviews on Udemy.

4.4
★★★★★
46,646 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Alexander Hagmann, the instructor responsible for creating and maintaining Algorithmic Trading A-Z with Python, Machine Learning & AWS on Udemy.

Algorithmic Trading A-Z with Python, Machine Learning & AWS is taught by Alexander Hagmann, a Udemy instructor specializing in Finance & Accounting. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

Instructor Name: Alexander Hagmann
Subject Area: Finance & Accounting
Teaching Approach: Practical, project-based instruction focused on real-world application of Finance & Accounting skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Algorithmic Trading A-Z with Python, Machine Learning & AWS, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

4.8/5 Rating
Trusted by 10K+ Students

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