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 out of 5(15,981 students enrolled)Created by Alexander HagmannLast updated: 🌐 English

Course Overview - Key Takeaways

The following summarizes all verified data points for this course, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

Course Title: Technical Analysis with Python for Algorithmic Trading
Provider: Udemy (listed via CourseSpeak)
Instructor: Alexander Hagmann
Coupon Verified On: January 5, 2026
Difficulty Level: All Levels
Category: Programming Languages
Subcategory: Python
Duration: 13h 30m of on-demand video
Language: English
Access: Lifetime access to all course lectures and updates
Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
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.
Price: $11.99 with coupon / Regular Udemy price: $119.99. Applying this coupon saves you $108.00 (90% OFF).
Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

This course gives you the following verified skills and competencies in Programming Languages:

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

The following background knowledge and tools are recommended before starting this course. Students without these prerequisites may still enroll but should expect a steeper learning curve:

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 as published on Udemy by instructor Alexander Hagmann. It covers the curriculum structure, teaching methodology, and topic scope for this Programming Languages course:

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Course Comparison

Compare features side by side to find the best course for your needs.

FeatureCURRENT
ProviderUdemyUdemy
Price
$11.99$119.99-90%
$9.99$159.99-94%
Rating
4.3(16k)
4.6(71.4k)
Duration13h 30m17h 30m
CouponTA_JAN...INDEPE...
View DealCompare

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

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated Jan 5, 2026

The short answer is yes — provided the Programming Languages skills this course teaches actually line up with what you want to build. The regular price for Technical Analysis with Python for Algorithmic Trading on Udemy is $119.99. The coupon code listed on this page drops that to $11.99 — a saving of $108.00, or 90% off the standard rate. Spread across 13h 30m of on-demand video, that works out to roughly $0.89 per hour of content — less than the cost of a single chapter of most printed programming languages textbooks.

A discount is only worth something if the material delivers, and the curriculum here is built around practical outcomes. Alexander Hagmann walks you through make proper use of Technical Analysis and Technical Indicators., use Technical Analysis for (Day) Trading and Algorithmic Trading., and convert Technical Indictors into sound Trading Strategies with Python. — concrete skills you can apply, not abstract theory. It has already been taken by 15,981 students and holds a 4.3-star average from verified reviews, which is a reasonable sign the content holds up in practice.

The bar to entry is low: 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.. That makes it a realistic choice even if Programming Languages is unfamiliar territory. In practical terms, expect around 13h 30m of on-demand video to work through at your own pace. The material is presented in English.

Pros

  • Verified 90% price reduction.
  • High learner satisfaction (4.3/5).
  • Trusted by 15,981 students.
  • Certificate + lifetime access.

Cons

  • !The coupon is time-limited — once it expires, the price tends to revert toward the standard $119.99.
  • !Lifetime access is tied to Udemy staying online; the platform can change its policies.
  • !Budget for the exercises and quizzes too — they add real time on top of the 13h 30m of video.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"At roughly $0.89 an hour of video, Technical Analysis with Python for Algorithmic Trading is priced sensibly for what it actually covers — make proper use of Technical Analysis and Technical Indicators. and beyond. If Programming Languages is on your roadmap and you value the 4.3-star track record, this coupon is worth using while it's still valid."

Final Verdict: Worth It
Saves you $108.00 against the standard Udemy price
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified January 5, 2026.At $11.99 you save $108.00 compared to the standard $119.99 price, and Udemy coupons are time-limited — redeem as soon as possible.

Course Rating Summary

This course holds an aggregate rating of 4.3 out of 5 based on 15,981 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

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. Last verified: January 5, 2026.

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Instructor Profile

Background information on Alexander Hagmann, the instructor responsible for this course on Udemy.

AH
Alexander Hagmann
Udemy Instructor
Full Profile ↗
Subject Area
Programming Languages
Total Students
15,981+ enrolled
Rating
4.3 / 5.0
Course Duration
13h 30m
Teaching Approach
Practical, project-based instruction built around real-world application of Programming Languages skills, with hands-on exercises and quizzes to reinforce each section.

Frequently Asked Questions

The following questions and answers cover the most common queries about this course, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of January 5, 2026.

About the Author

Josh Smith
Josh Smith
Udemy Coupon Specialist

8+ years finding and verifying the best Udemy deals. Helped thousands of students save on premium courses through curated coupon codes and exclusive discounts.

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