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

Interactive Brokers (IBKR) for Algorithmic Trading & Portfolio Investing | Stock Market Analysis, ETF Trading & Theory

⭐ 4.4 out of 5 Rating (7,265 students) Created by Alexander Hagmann Updated: October 15, 2025 🌐 English

Key Takeaways

A summarized snapshot of the essential course data, author credentials, and live coupon verification statistics from our manual technical audit.

Course Title: Algorithmic Stock Trading and Equity Investing with Python

Provider: Udemy (Listed via CoursesWyn)

Instructor: Alexander Hagmann

Coupon Verified On: October 15, 2025

Difficulty Level: All Levels

Category: Finance & Accounting

Subcategory: Stock Trading

Duration: 37h 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: Algorithmic Stock Trading with Python and the Interactive Brokers (IBKR) API · Automated ETF & Equity Portfolio Investing · Passive (ETF), Semi-Active and Active Investing

Prerequisites: 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).

Price: $10.99 with coupon / Regular Udemy price: $119.99. Applying this coupon saves you $109.00 (91% 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.

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

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Requirements

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

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).

About This Course

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

Welcome to the most comprehensive and complete course on (automated) Stock Trading and Equity Investing! **This Algorithmic Stock Trading and Equity Investing with Python course covers** - Automated Stock Trading for Income Generation (Algo Trading, Day Trading & more) - Automated ETF & Equity Portfolio Investing for long-term Wealth Accumulation (passive, semi-active, and active Investing) with Python and Interactive Brokers (IBKR). At the end of the course, you´ll have mastered all four aspects required for long-term success: - Theory (Finance & Investing 101): What you really need to know before you trade/invest in stocks. - Data: Successful Investment and Trading Strategies are data-driven. - API Trading with Interactive Brokers: Automated Paper Trading and Live Trading with low Spreads and Commissions (no inactivity fees) - Python: The right tool that integrates Theory, Data, and API Trading. This course explains the code and covers everything you need to know in a Python Crash Course (for beginners). Some Highlights: - Load and analyze Stock Market Data (historical prices, financial statements, ratios, valuation multiples) for thousands of stocks - Trade stocks on various exchanges and from various world regions (North America, Europe, India, Australia, etc.) - Fundamental Analysis, Equity Valuation Methods, Technical Indicators, and Optimization Techniques explained. - Trading Strategies with multiple Tickers/Instruments at once - Test and improve your skills in various Keystone Projects (new concept) What else should you know about me and the course? The *Algorithmic Stock Trading and Equity Investing with Python course* shows how to do things right. But equally important, it highlights the most commonly made mistakes in Trading & Investing. There is hardly any other business where beginners make so many mistakes. Why is that? A lack of skills, expertise, and experience. And: Overconfidence and overreliance on intuition. As a finance professional with an extensive academic background (MSc in Finance, CFA) my clear message is: For Trading and Investing, intuition and common sense are not your best friends. Very often, the most intuitive solution is not the correct solution! This course is "not only" a Stock trading and Equity investing course but also an in-depth Python Course that goes beyond what you can typically see in other courses. Create hands-on Applications with Python and use it for your Trading & Investing Business! What are you waiting for? Join now! 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 Finance & Accounting. 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

AD
Andrew Derek
Lead Course Analyst, CoursesWyn

"After auditing the curriculum depth and verifying the live access protocol, Algorithmic Stock Trading and Equity Investing with Python 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.

4.4
★★★★★
Verified Excellence
5 Stars
88%
4 Stars
7%
3 Stars
3%
2 Stars
1%
1 Stars
1%

Frequently Asked Questions

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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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