No prior programming experience is required. The course is specifically designed for beginners and walks you through the entire setup and build process step by step.
ALGO TRADING
Algo Trading Masterclass for Beginners
What You Will Learn
Why algo trading beats manual trading
The 4-step algo framework
How to set up your algo trading workspace
How to build and run your first algo live in the market
A setup guide and build your algo guide for better understanding
Your Course Overview
3 sections • 10 topics • 1 hr 52 mins content
Earn a Certificate
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About The Course
The Algo Trading Masterclass for Beginners is designed to take you from zero to running your first live algorithm in the market in one structured session. If you have ever been curious about algo trading but felt it was too technical, too complex, or only for programmers, this course will change that completely. Siddharth breaks the entire process down into a clear, beginner-friendly framework so that by the end of this course, you will have actually built and run a real algo not just learned about it theoretically. You will understand why algorithms consistently outperform manual trading, set up your workspace using the Dhan API, and run a live algo step by step. You also get access to an exclusive Telegram community for ongoing support as you continue your journey into quantitative trading.
Bonuses included
1. Exclusive Telegram community access: You will get access to a private community where you can get ongoing support, ask questions, and connect with other algo traders as you continue building on what you learn in this course.
2. You will get two practical resources — a Setup Guide to help you build your algo trading environment and a Build Your Algo Guide to help you understand the process of creating and developing your own trading algorithms.
In Lesson 1, Introduction, you will meet your instructor Siddharth and get a clear picture of exactly what you will build by the end of this course — so you know from the very first minute what you are working towards.
In Lesson 2, Algo Trading Foundations, you will understand why algorithmic trading consistently outperforms manual trading and the key advantages it gives you over discretionary approaches. You will then learn the 4-step algo framework that forms the foundation of every algo strategy, and get introduced to the Dhan API which you will use to build and execute your algo.
In Lesson 3, Build Your First Algo, you will set up your complete algo trading workspace step by step, and then run your algo live in the market. This is the most hands-on module in the course — by the end of it, you will have a working, live algorithm running. You will also be onboarded into the exclusive Telegram community for continued guidance and support.
Course highlights:
- Why algo trading beats manual trading and the 4-step framework behind it
- Dhan API setup for algo trading explained from scratch
- Build and run your first live algo by the end of the course
- Exclusive Telegram community for ongoing support
- Clear roadmap to the advanced Quant Architect program
Who is this course for:
- Complete beginners who want to start algo trading but do not know where to begin
- Manual traders who want to automate their strategies
- Anyone curious about algorithmic trading but intimidated by the technical side
- Traders who want to remove emotion from their trading using automation
- Anyone who wants a clear, practical starting point in quantitative trading
5+ Years of Experience
Full Time Trader
Siddharth is an algorithmic trader, developer, and market educator with 5+ years of experience in building automated trading systems. An IIT Madras dropout, he specializes in algorithmic trading, Python-based automation, and developing systematic strategies using data-driven market logic. With 100+ algorithms developed and deployed, Siddharth focuses on simplifying algo trading for retail traders through practical learning, real-world strategies, and hands-on implementation, helping them build a more disciplined and structured approach to markets.