Introduction

What is algo trading

How to install the required software

Python scripts & other resources

API Integration

Zerodha codebase

XTS codebase

Dhan codebase

Basics of Python

Python basics - I

Python basics - II

Python basics - III

Debugging

Build Your Own Algo

Building algo for equity

Building algo for options

Option trading strategy

Building algo for option selling

Building algo for option buying

Mentorship Program

Introduction to mentorship program

Enroll for the next batch:​<a target="_blank" href="https://www.upsurge.club/live-mentorship/algo-trading-mentorship-program-2/?invite=USRG-COMM">Algo Trading Mentorship Program</a>​

Enroll for the program here

Imran Ali is the Co-Founder of Tradehull and a seasoned expert in Algorithmic Trading with over 7 years of experience. He has helped many institutional traders build automated systems and has trained thousands of traders to understand and use algo trading effectively. He specializes in backtesting strategies, managing trading risks, and turning ideas into fully automated trading systems. Imran simplifies complex algo concepts so that even beginners can learn to trade smarter using Algo Trading.

This course is a step-by-step guide to algorithmic trading using Python. It covers everything from setting up software and learning Python basics to building and automating trading strategies for equities and options using platforms like Zerodha, XTS, and Dhan. It also includes real-world option strategies and debugging techniques. In Lesson 1, Introduction, you will understand the basics and importance of algo trading and learn how to install Python and essential tools needed to start building your own trading algorithms. In Lesson 2, API Integration, you will learn to connect broker APIs like Dhan, Zerodha, or XTS with Python to fetch data and place orders. In Lesson 3, Basics of Python, you will start with Python basics—understanding strings, performing basic operations like addition, subtraction, and multiplication, and learning how to fix common errors. You will then move on to tracking the market in real time, placing conditions to get desired outputs, and running your code in a loop. Finally, you will explore concepts like dictionaries and while loops, and get introduced to basic market scanning techniques. In Lesson 4, Build Your Own Algo, you will learn to build and run live trading algorithms for equities and options. You will understand how to create indicators, set entry and exit conditions, place intraday orders, and ensure the algo runs continuously without duplicating trades. For options, you will explore a high-probability option selling strategy using Implied Volatility (IV), along with proper entry, exit, stop-loss, and adjustment techniques. In Lesson 5, Mentorship Program, you will understand the importance of backtesting and get introduced to the mentorship program. Course Highlights : - Importance of algo trading - Step-by-step guide to installing Python and essential libraries for algorithmic trading - How to connect Python with popular brokers like Dhan, Zerodha, and others using their APIs - Basic Python functions and coding skills needed to build trading algorithms - To design, code, and execute your own equity trading strategies using automation - How to automate options buying and selling strategies Who is this course for : - Aspiring Traders who want to automate their strategies and trade more efficiently - Beginners in Python who are interested in using programming for real-world applications in the stock market - Manual Traders looking to transition into algorithmic trading to reduce emotional bias - Part-time traders who can’t track markets live but want to run predefined trading systems

Algo Trading using Python

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