Algorithmic Stock Trading and Equity Investing with Python — Udemy Coupon 91% OFF

Quick Verdict: Is This Stock Trading Coupon Worth It?

What You'll Learn

Practical takeaways waiting inside this Finance & Accounting course:

• Algorithmic Stock Trading with Python and the Interactive Brokers (IBKR) API.
• Automated ETF & Equity Portfolio Investing.
• Passive (ETF), Semi-Active and Active Investing.
• Stock Trading Strategies with multiple Tickers.
• Equity Portfolio Optimization, Management & Rebalancing.
• Backtesting and Implementation of Trading & Investment Strategies.
• Technical Analysis and Indicators.
• Equity Valuation Methods (DDM and Multiples).
• Fundamental Analysis.
• Stock Indices and Index Tracking/Replication.
• How to measure, benchmark & improve the Performance of your Equity Portfolio.
• Loading and analysing Stock Data from (free) Web Sources.
• API Trading with Interactive Brokers.
• Python Basics & Numpy, Pandas, Matplotlib.
• Truly Data-driven Trading and Investing.
• Asset-Pricing Models (CAPM).
• Black-Litterman Model.

Before you start

• No Python experience needed. This course provides a Python Crash Course.
• No Finance/Investment knowledge required. You will learn everything you need to know.
• 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.
• Some high school level math skills would be great (not mandatory, but it helps).

Is Algorithmic Stock Trading and Equity Investing with Python Still Relevant?

The last update landed October 15, 2025 — and for a Finance & Accounting 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 4.4 rating from 7,265 learners suggests the content holds up in practice — ratings at that level rarely survive contact with outdated material.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 37h 30m

Total runtime is 37h 30m of video, which you work through self-paced with lifetime access. The published syllabus lists 17 outcomes — headlined by algorithmic Stock Trading with Python and the Interactive Brokers (IBKR) API; automated ETF & Equity Portfolio Investing; passive (ETF), Semi-Active and Active Investing.

Is the Price Fair After the Coupon Discount?

This coupon brings it to $10.99 — a 91% cut worth $109.00. $119.99 is the list price, but Udemy courses at this level almost never sell at list. Spread over the runtime, that is about $0.29 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: 4.4★ From 7,265 Learners

4.4 out of 5 from 7,265 learners on Udemy. Estimated split per star below.

* Split estimated from the aggregate score. Source: Udemy. Checked October 15, 2025.

Pros and Cons of This Course

Who Should Enroll (And Who Should Wait)

Enroll now if:

• You want Stock Trading 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 91% 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 · 7,265+ learners here · ★ 4.4

Full Profile ↗

Hands-on, example-driven teaching around real Finance & Accounting workflows — watch, build alongside, then test yourself with quizzes. Expect around 37h 30m of video.