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 Rating (15,981 students) Created by Alexander Hagmann Updated: January 4, 2026 🌐 English

Key Takeaways

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Course Title: Technical Analysis with Python for Algorithmic Trading

Provider: Udemy (Listed via CoursesWyn)

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 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. · 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)

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

The following technical skills represent the core curriculum targets for learners enrolling in this verified program today.

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)

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Requirements

Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.

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 Course

Comprehensive curriculum analysis and educational value proposition from the official provider library hubs.

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!

Meet Your Instructor

Academic background and professional track record of the subject matter expert responsible for this curriculum.

A

Alexander Hagmann

Verified Architect

A global leader with specialized excellence in Programming Languages. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.

4.8 / 5.0
Instructor Rating
94% +
Success Rate

Course Comparison

Market-relative value analysis comparing this verified instructor deal against professional subscription and retail averages.

Feature Benchmarks This Verified Offer Global Standard
Cost Verification FREE (100% Validated) Fixed Subscription Fee
Enrollment Type Professional Lifetime Access Limited Time Ownership
Certification Award Included with Access Code Required Add-on Fee

Expert Review

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Andrew Derek
Lead Course Analyst, CoursesWyn

"After auditing the curriculum depth and verifying the live access protocol, Technical Analysis with Python for Algorithmic Trading stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."

Strategic Advantages

  • Official Certificate: Credential generated at no cost.

  • Mobile Friendly: Full access via smart TV & mobile.

  • Expert Pacing: Modular design for professional schedules.

Considerations

  • Technical Depth: Requires focused 10+ hours study.

  • Tool Prep: Certain labs require proprietary software setups.

Verification Outcome: Exceptional Academic Value

Course Rating

Collective learner data and performance analytics based on verified alumni feedback loops and technical graduation audits.

4.3
★★★★★
Verified Excellence
5 Stars
88%
4 Stars
7%
3 Stars
3%
2 Stars
1%
1 Stars
1%

Frequently Asked Questions

Curated answers to the most frequent learner inquiries regarding availability, certification, and enrollment logic protocols.

Andrew Derek

Andrew Derek

Expert Reviewer

Andrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.

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