How to Backtest Option Strategies Using Python
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How to Backtest Option Strategies Using Python

FREE

Instructor: Marketcalls
Language: English
Course Overview

About the Course

24th Sep 2026 - Evening Session ( 07.00 pm - 08.00 pm IST)

A practical 1-hour training session on building and backtesting options trading strategies in Python using NautilusTrader.

What We Will Cover

1. Introduction to Options Backtesting

* What makes options backtesting different from equity backtesting
* Understanding option contracts, expiry, strike price and option type
* Challenges with historical options data
* Single-leg vs multi-leg option strategies

2. Understanding NautilusTrader

* What is NautilusTrader?
* Core architecture and components
* Instruments, orders, positions and strategies
* Backtesting engine overview
* How market data flows through the framework

3. Setting Up a Python Options Backtest

* Preparing historical options data
* Creating option instruments
* Loading data into NautilusTrader
* Configuring the backtesting engine
* Creating a basic strategy

4. Building a Single-Leg Options Strategy

Example:

Buy / Sell Call or Put based on a trading signal.

We will explore:

* Selecting the option contract
* Entry conditions
* Order execution
* Stop-loss and target
* Position management
* Trade results

5. Building a Multi-Leg Options Strategy

Example strategies could include:

* Straddle
* Strangle
* Vertical Spread
* Iron Condor

We will understand:

* Managing multiple option legs
* Entry synchronization
* Individual leg P&L
* Combined strategy P&L
* Strategy-level stop-loss and target
* Exiting multiple legs

6. Understanding Backtest Results

* Trade history
* P&L
* Win rate
* Drawdown
* Risk and return metrics
* Identifying problems in the strategy

Requirements

Participants should have:

* Python installed
* VS Code installed
* Basic understanding of Python
* Basic understanding of options trading

No advanced Python knowledge is required.

Objective

By the end of the session, participants should understand how an options backtesting system is structured and how Python and NautilusTrader can be used to implement both single-leg and multi-leg options strategies.

The focus will be on understanding the architecture and building the backtesting workflow rather than simply running a pre-built strategy.

Customer Support : +91 9535133445
Whatsapp : +91 9901867760
Support Timings : 9a.m - 6p.m IST

Curriculum

Course Curriculum

Comprehensive modules designed to take you from beginner to expert

Meet Your Mentor

About the Mentor

Creator of OpenAlgo - OpenSource Algo Trading framework for Indian Traders. Building GenAI Applications. Telecom Engineer turned Full-time Derivative Trader. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade.

Expertise in Algo Solutions, Python, Amibroker AFL Coding and Tradingview Pinescript. Designed and published 100+ open source trading systems on various trading tools.

20+
Years Trading Experience
100+
Trading Systems Published
5000+
Students Trained
Rajandran
Why Choose Us

What We Offer

Everything you need to succeed in your learning journey

Live Learning

Learn live with top educators, chat with teachers and other attendees, and get your doubts cleared.

Structured Learning

Our curriculum is designed by experts to make sure you get the best learning experience.

Community & Networking

Interact and network with like-minded folks from various backgrounds in exclusive chat groups.

Learn with the Best

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Get Certified

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Hands-on Practice

Learn by doing with real coding examples, institutional grade analysis, and data-driven insights.

Testimonials

Reviews and Testimonials

Hear what our students have to say about their learning experience

Customer ratings
4.7
/5
3 reviews
Excellent
"Outstanding course content! The instructor's expertise and teaching methodology made complex concepts easy to understand. Highly recommended for serious learners."
Ramu Gokak
Good
"Great learning experience with practical examples. The course structure is well-organized and covers all essential topics comprehensively."
Ranga Charya Bhattar
Excellent
"Best course I've taken! The depth of knowledge shared and real-world applications make this course stand out. Worth every penny invested."
Venkateswarlu Vuppu
Support

Frequently Asked Questions

Is the session recorded?

All our live sessions are recorded and available for watching the same day.

How long will I have access to the course materials?

Depends on your subscription period. Generally, most of our flagship courses are valid for up to 1 year. However, one can extend the subscription up to 2 years depending upon their subscription period.

What tools or software do I need?

We generally use Amibroker 7.0 version for Amibroker AFL coding, NinjaTrader 8 + Bell TPO Tools for Market Profile and Order Flow tools. We don't do any personal software recommendation or broker recommendation as we are broker-neutral and vendor-neutral.

Do you offer refunds?

We don't offer refunds once the course is purchased. Kindly consider going through the preview videos, talk to the Marketcalls team, connect with us, and clarify your concerns before enrolling in the course.

What do we guarantee in our live training sessions?

Institutional-grade learnings and deeper insights, building curiosity in you, elevating your creativity, and making you understand complex concepts with simple terms.

Do you use AI tools for coding?

Yes, we rely heavily on AI coding tools to code and even to analyze the markets.

What access will I get apart from recorded videos?

You will get access to PDF presentations, course materials, source codes, and resources.

How long will I get access to the Slack Community?

The community access is lifetime and will be available only to the users enrolled in flagship mentorship courses.

Terms and Conditions

  • All the lectures will be valid for the purchased duration with unlimited views from the date of purchase.
  • If you wish to watch the lecture after the expiry of the course, you will have to repurchase the same.

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