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

Quick Verdict: Is This Python Coupon Worth It?

What You'll Learn

Practical takeaways waiting inside this Programming Languages 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).

Before you start

• 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)

Is Technical Analysis with Python for Algorithmic Trading Still Relevant?

The last update landed January 5, 2026 — and for a Programming Languages course, freshness is the first thing to verify. An updated date means the instructor still maintains the material; a stale one means you learn last year's version of the tools.

The 4.3 rating from 15,981 learners suggests the content holds up in practice — ratings at that level rarely survive contact with outdated material. The entry bar looks low, which makes this a reasonable first course in the topic rather than a capstone.

What the Course Actually Delivers in 13h 30m

The published syllabus lists 18 outcomes — headlined by 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.. With hands-on labs and real-world projects, self-paced with lifetime access. With 15,981 learners enrolled, the pacing and explanations have been stress-tested at scale.

Is the Price Fair After the Coupon Discount?

This coupon brings it to $11.99 — a 90% cut worth $108.00. $119.99 is the list price, but Udemy courses at this level almost never sell at list. Spread over the runtime, that is about $0.89 per hour of instruction — cheaper than a coffee per study session. The real comparison is not list versus coupon, but coupon versus the next-best course at the same sale price — and on ratings-per-dollar, check the rating box above before deciding.

About This Udemy Course

The official description by Alexander Hagmann:

Learner Ratings: 4.3★ From 15,981 Learners

4.3 out of 5 from 15,981 learners on Udemy. Estimated split per star below.

* Split estimated from the aggregate score. Source: Udemy. Checked January 5, 2026.

Pros and Cons of This Course

Who Should Enroll (And Who Should Wait)

Enroll now if:

• You want Python skills with a certificate at the end
• You're starting from zero — the entry bar on this one is low
• You want maximum cuts — this code takes 90% off
• You'll actually finish — code seats are limited, collectors waste them

Wait or look elsewhere if:

• You already mastered this topic — the first hours will feel like review
• You need a different language — this course is taught in English
• You collect courses without finishing them — let someone else take the seat

Meet the Instructor

Alexander Hagmann

Udemy instructor · 15,981+ learners here · ★ 4.3

Full Profile ↗

Hands-on, example-driven teaching around real Programming Languages workflows — watch, build alongside, then test yourself with quizzes. Expect around 13h 30m of video.