Technical Analysis with Python for Algorithmic Trading — 90% OFF Discount Coupon

Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python

★4.3 out of 5
15,981 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 Technical Analysis with Python for Algorithmic Trading before you enroll:

•Course Name: Technical Analysis with Python for Algorithmic Trading
•Platform: Udemy
•Instructor: Alexander Hagmann
•Coupon Last Verified: January 4, 2026
•Level: All Levels
•Topic: Programming Languages
•Subtopic: Python
•Total Time: 13h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Make proper use of Technical Analysis and Technical Indicators. · Use Technical Analysis for (Day) Trading and Algorithmic Trading. · Convert Technical Indictors into sound Trading Strategies with Python.
•Requirements: 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.
•Current Price: $11.99 (was $119.99). You save $108.00 with 90% 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 Technical Analysis with Python for Algorithmic Trading, you'll have these practical skills:

✓Make proper use of Technical Analysis and Technical Indicators. .
✓Use Technical Analysis for (Day) Trading and Algorithmic Trading. .
✓Convert Technical Indictors into sound Trading Strategies with Python. .
✓Backtest and Forward Test Trading Strategies that are based on Technical Analysis/Indicators. .
✓Create and backtest combined Strategies with two or many Technical Indicators. .
✓Create interactive Charts (Line, Volume, OHLC, etc.) with Python and Plotly. .
✓Visualize Technical Indicators and Trend/Support/Resistance Lines with Python .
✓Use Pandas, Numpy and Object Oriented Programming (OOP) for Technical Analysis and Trading. .
✓Load Financial Data from local files and the web. .
✓Simple Moving Average (SMA) strategies .
✓Exponential Moving Average (EMA) strategies .
✓Moving Average Convergence Divergence (MACD) strategies .
✓Relative Strength Index (RSI) strategies .
✓Stochastic Oscillator strategies .
✓Bollinger Bands strategies .
✓Pivot Point strategies .
✓Fibonacci Retracement strategies .
✓mixed strategies (combining two or many indicators).

What You Need Before Starting

Before enrolling in Technical Analysis with Python for Algorithmic Trading, make sure you have:

•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.
•Basic Python Coding Skills (Variables, Data Types, Lists, For Loops, Functions) -> This is not a Course for complete Python Beginners.
•Basic Coding Skills in Pandas, Numpy and Matplotlib
•Basic Knowledge of Trading / Investing would be great (not mandatory, but it helps)

About This Udemy Course

The following is the full official course description for Technical Analysis with Python for Algorithmic Trading as published on Udemy by instructor Alexander Hagmann:

Fully revised and updated in 2026

"(How) Can I use Technical Analysis and Technical Indicators for Trading and Investing?" - This is one of the most frequently asked questions in trading and investing.

This course clearly goes beyond rules, theories, vague forecasts, and nice-looking charts. (These are useful but traders need more than that.) This is the first 100% data-driven course on Technical Analysis. We´ll use rigorous Backtesting / Forward Testing to identify and optimize proper Trading Strategies that are based on Technical Analysis / Indicators.

This Technical Analysis with Python for Algorithmic Trading course will allow you to test and challenge your trading ideas and hypothesis. It provides Python Coding Frameworks and Templates that will enable you to code and test thousands of trading strategies within minutes. Identify the profitable strategies and scrap the unprofitable ones!

The course covers the following Technical Analysis Tools and Indicators:

  • Interactive Line Charts and Candlestick Charts
  • Interactive Volume Charts
  • Trend, Support and Resistance Lines
  • Simple Moving Average (SMA)
  • Exponential Moving Average (EMA)
  • Moving Average Convergence Divergence (MACD)
  • Relative Strength Index (RSI)
  • Stochastic Oscillator
  • Bollinger Bands
  • Pivot Point (Price Action)
  • Fibonacci Retracement (Price Action)
  • combined/mixed Strategies and more.

This is not only a course on Technical Analysis and Trading. It´s an in-depth coding course on Python and its Data Science Libraries Numpy, Pandas, Matplotlib, Plotly, and more. You will learn how to use and master these Libraries for (Financial) Data Analysis, Technical Analysis, and Trading.

Please note: This is not a course for complete Python Beginners (check out my other courses!)

What are you waiting for? Join now and start making proper use of Technical Analysis!

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!

Compare Similar Courses

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Is the Technical Analysis with Python for Algorithmic Trading 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, Technical Analysis with Python for Algorithmic Trading is a high-value resource for learners seeking to build skills inProgramming Languages. Taught by Alexander Hagmann on Udemy, the 13h 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 90%, from $119.99 to $11.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 90% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.3 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 15,981 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 Technical Analysis with Python for Algorithmic Trading:

  • The depth of Programming Languages 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

Technical Analysis with Python for Algorithmic Trading Course holds an aggregate rating of 4.3 out of 5 based on 15,981 student reviews on Udemy.

4.3
★★★★★
15,981 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 Technical Analysis with Python for Algorithmic Trading on Udemy.

Technical Analysis with Python for Algorithmic Trading is taught by Alexander Hagmann, a Udemy instructor specializing in Programming Languages. 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: Programming Languages
•Teaching Approach: Practical, project-based instruction focused on real-world application of Programming Languages skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Technical Analysis with Python for Algorithmic Trading, 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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