Trading Algorithms
Offered by Indian School of Business. This course covers two of the seven trading strategies that work in emerging markets.
Trading Algorithms is an intermediate-level online course from Coursera in Trading. It is structured in 4 modules, over 12h 27m. Learners rate it 4.5/5 from 1.1K ratings on Coursera.
Part of our Trading courses collection, where we compare it against 24 other courses. See all Trading courses on Coursera.
Course highlights
| Provider | Coursera |
| Duration | 12h 27m |
| Level | Intermediate |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.5★ (1.1K reviews) |
| Price | Check price |
About this course
Trading Algorithms is a beginner-level course offered by the Indian School of Business on Coursera. It introduces two practical trading strategies designed for emerging markets: the F Score and PEAD (Post-Earnings Announcement Drift). The course runs for 12 hours and 27 minutes and is self-paced, so learners can complete it on their own schedule.
The syllabus begins with Module 1, which covers Introduction to Trading Strategies and Benchmarks, and includes guidance on How to read an academic paper. Module 3 then walks through Trading Strategy 1 - F Score, a method that uses financial ratios to identify potentially undervalued companies. Module 4 covers Trading Strategy 2 - PEAD, which focuses on profiting from the tendency for stock prices to drift after earnings announcements.
By the end of the course, a learner can apply the F Score framework to screen stocks based on profitability and accruals quality, and interpret PEAD signals to time entry and exit points around earnings dates. These are concrete, testable techniques rather than abstract theory.
The course is best suited for beginners who want a structured introduction to algorithmic thinking in trading. Learners who already have experience building trading models in Python may find the content introductory. Those seeking deeper Python implementation should look at the Algorithmic Trading & Quantitative Analysis Using Python course on Udemy, which offers hands-on coding projects.
Free options include the Trading Master 101 - Introduction To Technical Analysis course on Udemy and the Trading Algorithms course on Coursera itself, both of which are free to audit. The Trading Algorithms course provides a certificate for a fee; the Udemy alternatives listed are free to audit and offer a certificate upon completion.
Level and time commitment
Skills you’ll gain
What this course covers
4 modulesThe 4-part outline Coursera publishes for this course, across 12h 27m.
Module 1 · Module 1 - Introduction to Trading Strategies and Benchmarks
Module 2 · How to read an academic paper
Module 3 · Module 3 - Trading Strategy 1 - F Score
Module 4 · Module 4 - Trading Strategy 2 - PEAD
What learners rate it
Rated 4.5/5 by 1.1K learners on Coursera (checked 6 Nov 2026).
This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →
Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 6 November 2026.
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Compare with alternatives
Same topic, different trade-offs — here's who runs each one and what it's best at.
| Course | Provider | Rating | Price | Duration | Why pick this one | |
|---|---|---|---|---|---|---|
| Trading Algorithms This |
 Coursera
|
4.5★ | Check price | 12h 27m | For learners past the basics · 12h 27m | |
| Algorithmic Trading using Angel One's Smartapi |
 Udemy
|
4.7★ | ₹509 | 11.5 hours | Most popular — 3.5K learners | View ↗ |
| ChatGPT for Stock Trading: Boost Your Investments with AI |
Udemy
|
4.7★ | ₹449 | 6 hours | Highest rated (4.7★ from 550 reviews) | View ↗ |
| How to be a Profitable Trader - Best Forex Trading Strategy |
Udemy
|
4.6★ | ₹609 | 3 hours | Quickest to finish (3 hours) | View ↗ |
Common questions
How much does Trading Algorithms cost?
Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.
Does Trading Algorithms come with a certificate?
Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
How long does Trading Algorithms take?
Coursera lists it at 12h 27m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.
Is Trading Algorithms suitable for beginners?
Coursera lists it at Intermediate level, so it assumes some grounding in the subject already. If you are starting from zero, a beginner-level course in the same topic is the better entry point.
What does Trading Algorithms cover?
It is organised into 4 modules, starting with Module 1 - Introduction to Trading Strategies and Benchmarks and going on to How to read an academic paper, Module 3 - Trading Strategy 1 - F Score, Module 4 - Trading Strategy 2 - PEAD. The full outline is on this page.