Technical Analysis with Python for Algorithmic Trading

Name: Technical Analysis with Python for Algorithmic Trading
Price: 11.99 USD
Availability: InStock
Rating: 4.3 (15981 reviews)

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

4.3 ★★★★★15,981 studentsCreated by Alexander HagmannPublished/Updated on: January 4, 2026🌐 English

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Key Takeaways

Course Essentials

Course overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes.

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Course Title

Technical Analysis with Python for Algorithmic Trading

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Provider

Udemy (via CourseSpeak listing)

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Instructor

Alexander Hagmann

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Last Updated

January 4, 2026

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Difficulty Level

All Levels

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Course Focus

programming languages fundamentals to advanced concepts

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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.

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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. , 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)

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Target Audience

Beginners to advanced programmers

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What you'll learn

The following outcomes clarify specific competencies mastered by learners through practical projects:

✓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).

Requirements

This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.

•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)

Course Description

A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive programming languages courses.

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About the Instructor

Course Expert

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Alexander Hagmann

Senior Instructor

View Instructor Profile

Experience

12+ years developing large-scale systems in Python.

Specialization

programming languages education and applied programming expertise.

Institution

Professional Academy - Leading provider of quality programming languages education and professional development.

Review - Technical Analysis with Python for Algorithmic Trading course on Udemy worth it?

This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.

Complete Review: Technical Analysis with Python for Algorithmic Trading by Alexander Hagmann

Technical Analysis with Python for Algorithmic Trading is a comprehensive online course designed to help students master Programming Languages skills. Created by Alexander Hagmann, this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.

The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.

Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in Python and take their career to the next level.

Our Recommendation

Course recommendation: Technical Analysis with Python for Algorithmic Trading excels in programming languages development based on verified student reviews and curriculum analysis.

Student Feedback

This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.

4.3

★★★★★

Course Rating

Based on 15,981 student reviews as of January 2026

Rating Breakdown:

5 stars:

75% (11,986)

4 stars:

15% (2,397)

3 stars:

5% (799)

2 stars:

5% (799)

1 star:

5% (799)

Sarah Johnson

★★★★★2 weeks ago

This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.

Michael Torres

★★★★★3 weeks ago

Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.

David Kim

★★★★★1 month ago

Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.

Frequently Asked Questions

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