10 Best Algorithmic Trading Courses and Certifications Online

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Close up iPhone showing Udemy application and laptop with notebookThere are thousands of online courses and classes that will help you enhance your Algorithmic Trading skills and earn your Algorithmic Trading certificate.

In this post, our specialists have put together a curated list of the 10 Best of the Best Algorithmic Trading courses, tutorials, training programs, classes and certifications that are available online right now.

We have included just those courses that satisfy our top quality standards. We have actually put a lot of time and effort into gathering these all for you. These courses are suitable for all levels, beginners, intermediate learners, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Algorithmic Trading Courses and Certifications Online

1. Algorithmic Trading & Quantitative Analysis Using Python by Mayank Rasu Udemy Course Our Best Pick

Build fully automated trading system and Implement quantitative trading strategies using Python

As of right now, more than 25151+ people have enrolled in this course and there are over 3108+ reviews.

Course Content
Introduction
Getting Data
Web Scraping to Extract Financial Data
Basic Data Handling and Operations
Technical Indicators
Performance Measurement – KPIs
Backtest Your Strategies
Value Investing
Building Automated Trading System on a Shoestring Budget
Bonus Section: Running Your Algorithms in Cloud
Bonus Section: Sentiment Analysis
Archived Lectures

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2. Algorithmic Trading In Forex: Create Your First Forex Robot! by “Kirill Eremenko, ForexBoat Team” Udemy Course

Trading With Forex Robots: Learn MQL4 Programming By Doing! Create Your First Algorithmic Trading System in MetaTrader 4

As of right now, more than 23760+ people have enrolled in this course and there are over 3526+ reviews.

Course Content
Introduction
Programming Core MQL4
System design and trading functions
Putting it all together
Course summary

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3. “Algorithmic Trading A-Z with Python, Machine Learning & AWS” by Alexander Hagmann Udemy Course

“Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.”

As of right now, more than 17060+ people have enrolled in this course and there are over 1468+ reviews.

Course Content
“Getting Started
+++ PART 1: Day Trading, Online Brokers and APIs +++
Day Trading with OANDA A-Z: a Deep Dive
FOREX Day Trading with FXCM
Installing Python and Jupyter Notebooks
Excursus: How to avoid and debug Coding Errors (don´t skip!)
Trading with Python and OANDA/FXCM – an Introduction
Conclusion and Outlook
+++ PART 2: Pandas for Financial Data Analysis and Introduction to OOP +++
Introduction to Time Series Data in Pandas
Financial Data Analysis with Pandas – an Introduction
Advanced Topics
Object Oriented Programming (OOP): Creating a Financial Analysis Class
+++ PART 3: Defining and Testing Trading Strategies +++
Defining and Backtesting SMA Strategies
Defining and Backtesting simple Momentum/Contrarian Strategies
Defining and Backtesting Mean-Reversion Strategies (Bollinger)
Trading Strategies powered by Machine Learning – Regression
Trading Strategies powered by Machine Learning – Classification
Advanced Backtesting Techniques
+++ PART 4: Real-time Implementation and Automation of Strategies +++
Implementation and Automation with OANDA (UPDATED!)
Implementation and Automation with FXCM (Updated!)
Cloud Deployment (AWS) | Scheduling Trading Sessions | Full Automation
+++ PART 5: Expert Tips & Tricks, Case Studies and more +++
Trading Hours, Spreads and Granularity – control and limit Trading Costs!
Working with two or many Strategies (Combination)
A Machine Learning-powered Strategy A-Z (DNN)
Error Handling: How to make your Trading Bot more stable and reliable
+++ APPENDIX: Python Crash Course +++
Appendix 1: Python (& Finance) Basics
Appendix 2: User-defined Functions (required for OOP)
Appendix 3: Numpy, Pandas, Matplotlib and Seaborn Crash Course
What´s next? (outlook and additional resources)”

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4. “Algorithmic Trading: Backtest, Optimize & Automate in Python” by “Mohsen Hassan, Ilyass Tabiai, bloom team” Udemy Course

Learn How to Use and Manipulate Open Source Code in Python so You can Fully Automate a Cryptocurrency Trading Strategy.

As of right now, more than 16920+ people have enrolled in this course and there are over 2403+ reviews.

Course Content
“Welcome: Your Instructors, Course Content and the End Product
About Algorithmic Trading
Installations
Virtual Machine: Linux Environment
Python Primer
Installing Freqtrade
Configure And Run
Strategy Implementation
In Sample And Out Of Sample Testing
Assignment
Updates
Thank you
Bonus Lecture”

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5. Forex Algorithmic Trading Course: Code a Forex Robot! by “Mohsen Hassan, bloom team” Udemy Course

Build a Completely Automated Trading Robot (Expert Advisor) from scratch using MQL4 (MetaQuotes Language 4)!

As of right now, more than 16152+ people have enrolled in this course and there are over 3973+ reviews.

Course Content
“Introduction
MetaQuotes and Expert Advisors
Programming Basics
Control Flow (Conditional Operators)
Functions, Preprocessor & Storage Classes
Arrays & For Loops
MQL4 Technical Indicators
Order Execution Functions
Risk Management
Expert Advisor
Backtesting
Coding Our Trading Strategy
Bonus Lecture”

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6. Quantitative Finance & Algorithmic Trading in Python by Holczer Balazs Udemy Course

“Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations”

As of right now, more than 10768+ people have enrolled in this course and there are over 1201+ reviews.

Course Content
Introduction
Environment Setup
Stock Market Basics
Bonds Theory
Bonds Implementation
Modern Portfolio Theory (Markowitz-Model)
Markowitz-Model Implementation
Capital Asset Pricing Model (CAPM) Theory
Capital Asset Pricing Model (CAPM) Implementation
Derivatives Basics
Random Behavior in Finance
Black-Scholes Model
Black-Scholes Model Implementation
Value at Risk (VaR)
Collateralized Debt Obligations (CDOs) and the Financial Crisis
Interest Rate Modeling (Vasicek Model)
Pricing Bonds with Vasicek Model
Long-Term Investing
NEXT STEPS
APPENDIX – PYTHON PROGRAMMING CRASH COURSE
Appendix #1 – Python Basics
Appendix #2 – Functions
Appendix #3 – Data Structures in Python
Appendix #4 – Object Oriented Programming (OOP)
Appendix #5 – NumPy
Course Materials (DOWNLOADS)

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7. Python for Finance and Algorithmic Trading with QuantConnect by Jose Portilla Udemy Course

“Learn to use Python, Pandas, Matplotlib, and the QuantConnect Lean Engine to perform financial analysis and trading”

As of right now, more than 10116+ people have enrolled in this course and there are over 921+ reviews.

Course Content
“Course Welcome and Overview
Python Crash Course
NumPy
Core Pandas
Matplotlib
Pandas and Finance
Financial Concepts with Python
Stock Market Analysis Capstone Project
Algorithmic Trading Basics with QuantConnect
QuantConnect Research, Plotting, Universe Selection
Derivative Contracts”

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8. Algorithmic Trading on KiteConnect Platform by Mayank Rasu Udemy Course

Implement algorithmic trading strategies on KiteConnect platform

As of right now, more than 9576+ people have enrolled in this course and there are over 1267+ reviews.

Course Content
Introduction to Zerodha Kiteconnect
Setting up Trading App and Establishing Connection
Key API Calls
Coding Technical Indicators
Price Action Concepts
Building a Candlestick Pattern Scanner
Designing & Deploying Strategy on Zerodha Platform
Handling Streaming Tick Data
Streaming Tick Data Based Strategies
Deploying Strategies on Cloud

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9. Algorithmic Cryptocurrency Trading + Top 5 Robots in 2022 by Petko Zhivkov Aleksandrov Udemy Course

Learn the Top 5 Strategies for Algorithmic Cryptocurrency Trading in 2021 + 5 Robots Included

As of right now, more than 6293+ people have enrolled in this course and there are over 623+ reviews.

Course Content
Introduction
Section For The Beginner Traders
The Trading Strategies
Automated Trading With The Same Strategies
Results From The Trading
Conclusion

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10. Algorithmic Trading using Interactive Broker’s Python API by “Mayank Rasu, RASUQUANT LTD” Udemy Course

Implement algorithmic trading strategies on Interactive Broker’s platform

As of right now, more than 6021+ people have enrolled in this course and there are over 902+ reviews.

Course Content
Introduction to Interactive Brokers & its API
Advanced Python Concepts
Understanding IB API Python Wrapper
Historical Data
Order Management
Other Important API Calls
Technical Indicators in IB
Backtesting Strategies
Designing & Deploying Strategies on IB
Streaming Market Data
Extracting Fundamental Data

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Here are some frequently asked questions about learning Algorithmic Trading

How Long Does It Take to Learn Algorithmic Trading?

The answer to the question “How long does it ttake to learn Algorithmic Trading” is … it depends. Everyone has different requirements, and everyone is working in different situations, so the answer for one person may be totally different than for someone else.

Think about these questions: What are you trying to Learn Algorithmic Trading for? Where is your starting point? Are you a novice or do you have experience with Algorithmic Trading? How much can you practice? 1 hour each day? 40 hours weekly? Check out this course about Algorithmic Trading.

Is Algorithmic Trading Easy Or Hard to Learn?

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How to Learn Algorithmic Trading Fast?

The fastest way to Learn Algorithmic Trading is to first get this Algorithmic Trading course, then practice whatever you learn whenever you can. Even if its simply 15 minutes a day of practice. Consistency is crucial.

Where to Learn Algorithmic Trading?

If you want to explore and learn Algorithmic Trading, then Udemy offers you the best platform to learn the Algorithmic Trading. Check this course on how to Learn Algorithmic Trading in no time!