Top Algorithmic Trading courses in 2025

Algorithmic trading is a trading strategy that uses algorithms to trade in markets. These algorithms are designed to execute trades in a way that is more efficient than human traders. Algorithmic trading can be used in any market and in most cases, it is designed to be used in the stock market. Algorithmic trading has become a standard for traders and has allowed them to execute trades in a more efficient and timely manner.

The best Algorithmic Trading course of 2025

This is a course that will teach you how to create profitable algorithmic trading strategies. It will teach you how to use various software and programming languages to implement your strategies. The course will also teach you how to create algorithms for your strategies.

Among the main topics of the course, you will learn:

• Functions, Preprocessor & Storage Classes
• Backtesting
• Introduction
• Risk Management
• Arrays & For Loops
• Bonus Lecture
• MQL4 Technical Indicators
• MetaQuotes and Expert Advisors
• Coding Our Trading Strategy
• Control Flow (Conditional Operators)

BEST SELLER Forex Algorithmic Trading Course: Code a Forex Robot! Mohsen Hassan, bloom team Build a Completely Automated Trading Robot (Expert Advisor) from scratch using MQL4 (MetaQuotes Language 4)! 4.70 (3334 ratings)

The best Algorithmic Trading Complete course of 2025

Algorithmic trading is a method of executing a large order (too large to fill all at once) using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. Algorithmic trading is a strategy that uses computers to trade with a set of predefined rules based on mathematical formulas. This course will teach you how to use these formulas to create a profitable trading strategy.

Among the main topics of the course, you will learn:

• +++ PART 2: Algorithmic Trading: Spot Trading +++
• Trading with Python and the Binance API – an Introduction
• Installing Python and Jupyter Notebooks
• Strategy Optimization and Forward Testing
• Implementing and automating Futures Trading on Binance
• Appendix 5: Object Oriented Programming (OOP): Creating a Finance Class
• Futures Trading on Binance A-Z
• Appendix 1: Python (& Finance) Basics
• Introduction to (Algorithmic) Trading, Cryptocurrencies and Binance
• Appendix 4: Advanced Pandas Time Series Topics

Cryptocurrency Algorithmic Trading with Python and Binance Alexander Hagmann Create powerful Trading Strategies and fully automated AWS Trading Bots for Bitcoin & co. | Spot and Futures Trading 4.66 (185 ratings)

The best Algorithmic Trading Rapid course of 2025

It’s never too late to learn about Algorithmic Trading. This short course will teach you the basics of Algorithmic Trading in just a few hours.

Among the main topics of the course, you will learn:

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

Python for Finance and Algorithmic Trading with QuantConnect Jose Portilla Learn to use Python, Pandas, Matplotlib, and the QuantConnect Lean Engine to perform financial analysis and trading 4.65 (465 ratings)

The best Algorithmic Trading Practical course of 2025

Do you want to get your feet wet in Algorithmic Trading? This course will take you through the basics of Algorithmic Trading in a practical way. It will cover the various types of Algorithmic Trading. You will learn how to design and code your own Algorithmic Trading system in Python. You will also learn how to backtest an Algorithmic Trading system. All of this will be done in a practical way. We will analyze real-world data sets to test the performance of the algorithms.

Among the main topics of the course, you will learn:

• Technical Indicators
• Backtest Your Strategies
• Building Automated Trading System on a Shoestring Budget
• Introduction
• Getting Data
• Performance Measurement – KPIs
• Basic Data Handling and Operations
• Bonus Section: Sentiment Analysis
• Bonus Section: Running Your Algorithms in Cloud
• Value Investing

Algorithmic Trading & Quantitative Analysis Using Python Mayank Rasu Build fully automated trading system and Implement quantitative trading strategies using Python 4.46 (2771 ratings)

The best Algorithmic Trading course for Beginners in 2025

In this Algorithmic Trading course you will be taught from scratch, and become an expert. You will be taught the basics of algorithmic trading, how to make a backtesting system, and the theory behind the algorithms.

Among the main topics of the course, you will learn:

• Bollinger Bands
• Stochastic Oscillator
• Simple Moving Averages (SMA) and Introduction to Backtesting
• Fibonacci Retracement Strategies
• Technical Analysis – Theory and Use Cases
• Relative Strength Index (RSI)
• Moving Average Convergence Divergence (MACD)
• Getting Started
• SMA / EMA Crossover Strategies (Coding Challenge)
• Working with two or many Indicators – MACD & RSI

Technical Analysis with Python for Algorithmic Trading Alexander Hagmann Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python 4.69 (273 ratings)