Course Overview
This program is for learners who have completed the Beginner/Individual Level and want to build professional Python-based trading systems for multi-client use in Indian markets. You will develop advanced skills in strategy design, multi-broker integration, database-driven performance tracking, and AI-assisted market analysis.
Duration: 10 weeks, 6-8 hours per week.
Who can Enroll: Only learners who have completed the Individual Level
Learning Outcome: Master advanced skills to design, deploy, monitor, and maintain scalable, multi-strategy Python trading systems for multi-client use, with a focus on reliability, monitoring, and responsible implementation.
Curriculum
Advanced Strategy Development (Patterns & Wave Concepts)
- Chart pattern detection (breakouts, ranges, reversals)
- Elliott Wave concepts (theory + programmatic modeling)
- Strategy validation with historical data
- Rule-based encoding of pattern strategies for NSE-listed instruments
Basics of MySQL
- Create Database, Tables, Views
- MySQL operations like insert, modify, and delete
- Structured queries for complex operations
Advanced Python Trading Infrastructure
- Designing scalable Python project architecture for Indian and Crypto market strategies
- Strategy engine & signal router for Equity, Futures & Options
- Asynchronous processing for live Indian market data
- Build Logic in one broker and place order in another Broker
- Build Logic in One Script and Trade on another Script
Develop Strategies for Multiple Clients
- Client-specific strategy design
- Secure client data management
AI-Assisted Market Analysis
- Overview of AI techniques for Indian market data analysis
- Feature engineering from price, volume, and Open Interest (OI)
- Backtesting AI-assisted signals on NSE historical data