Building Trading Strategies in Python
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Building Trading Strategies in Python

FREE

Instructor: Rajandran R
Language: English

About the Course

Why this webinar?

If you are a trader looking to automate your edge, or a developer eager to get into algorithmic trading, this 4-part webinar series is designed to give you a clear, step-by-step approach to building trading strategies in Python.

Using OpenAlgo, a robust open-source trading automation framework, we will take you from concept to execution, covering practical intraday and options strategies along the way.

 

Webinar Outline

Session 1: How to Build a Trading Strategy in Python

  • Key skills required to build trading strategies
     
  • Setting up OpenAlgo on your machine
     
  • Writing your first trading strategy in Python
     
  • Understanding OpenAlgo Python SDK functions
     

Session 2: Intraday Options Strategy and Testing

  • Building an intraday options trading strategy
     
  • Using the API Analyzer to test and debug your strategies
     

Session 3: Multi-Leg Options and GPT Strategy Builder

  • How to structure and execute multi-leg options strategies
     
  • Using OpenAlgo GPT to generate strategy code
     
  • Prompt guidelines for building trading strategies with GPT
     

Session 4: Understanding Model Context Protocol (MCP)

  • A quick introduction to MCP – the open standard for connecting AI models to external tools and data
  • Step-by-step guide to setting up MCP with OpenAlgo for live trading interaction
  • Real-world use cases: placing orders, checking funds, and querying positions via LLM chat
  • Best practices for building secure, AI-accessible trading tools using MCP
  • Security risks like prompt injection and how to mitigate them with MCP Guardian


 

What you will gain

  • Confidence to build, test, and deploy your own trading strategies
     
  • Hands-on familiarity with OpenAlgo, a leading open-source toolkit for Indian markets
     
  • Clear understanding of how to align your strategies with SEBI’s latest norms
     
  • The ability to craft better GPT prompts for generating strategy logic
     

Who should attend

  • Traders who want to automate their strategies
     
  • Data enthusiasts looking to step into algorithmic trading
     
  • Python developers interested in real-world finance applications
     
  • Anyone who wants to build scalable, rule-based trading systems.



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

Course Curriculum

Comprehensive modules designed to take you from beginner to expert

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.

19+
Years Trading Experience
100+
Trading Systems Published
5000+
Students Trained
Rajandran

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

Stuck on something? Discuss it with your peers and the instructors in the inbuilt chat groups.

Get Certified

Flaunt your skills with course certificates. You can showcase the certificates on LinkedIn with a click.

Hands-on Practice

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

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

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.

Still have questions?

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