Technical Analysis with Python for Algorithmic Trading — 90% Off Coupon

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

4.3 15,981 students enrolledCreated by Alexander HagmannLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: Technical Analysis with Python for Algorithmic Trading
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Alexander Hagmann
•Coupon Verified On: January 4, 2026
•Difficulty Level: All Levels
•Category: Programming Languages
•Subcategory: Python
•Duration: 13h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: 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.
•Prerequisites: 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.
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓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).

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•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

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Alexander Hagmann. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Alexander Hagmann
•Field: Programming Languages
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Technical Analysis with Python for Algorithmic Trading Coupon Worth It?

Technical Analysis with Python for Algorithmic Trading is a programming languages course offered on Udemy by instructor Alexander Hagmann, spanning 13h 30m of on-demand content. It holds a 4.3/5 rating from over 15,981 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on January 4, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.3/5) and enrollment numbers (15,981 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of January 2026. For individual student reviews, visit the course page directly.

4.3
15,981 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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