NITIN JOSHI / QUANT LAB

Quant Trading Systems with Coding

Learn to Code for Trading | Backtesting | Deployment | Career

Learn to Code for Trading

Course Description β€” Not a Typical Coding Course

This is not a traditional coding course where I talk and you silently listen. This is a live, interactive, hands-on learning experience where we build, test, break, fix, and improve things together in real time.

You won’t just learn what to code, you will learn how to think, how to build logic, and how to turn ideas into real working systems.

We will go deep into every concept, step-by-step, ensuring everyone gets full clarity and real practical benefits whether you are a beginner or already have some experience.

What Makes This Course Different?

What You’ll Be Able to Do by the End of This Course

Course Modules

1. Understanding the Basics of Coding
  • How code works behind the scenes
  • Installing and setting up required software
  • Writing your first basic program to understand logic and problem-solving
2. Gathering Market Data
  • Exploring various free market data sources
  • Downloading and storing stock market data on your local machine
  • Basic understanding of CSV files and structured datasets
3. Creating a Flowchart & Strategy Blueprint
  • Designing a visual flowchart for trading logic
  • Structuring strategy ideas into clear, executable steps
  • Documenting strategy workflows for future development
4. Building Our First Pine Script Program
  • Fetching historical candle data from charts
  • Creating multiple strategy logic conditions
  • Storing and managing generated trading data
5. Understanding Backtesting Tools & APIs
  • How to obtain historical derivatives data
  • What an API is and how it works
  • Exploring free API and data resources for retail traders
  • Building a structured roadmap for backtesting strategies
6. Understanding the Complete Backtesting Workflow
  • Strategy logic creation
  • Testing and validating strategy rules
  • Generating trading signals
  • Running a backtesting engine
  • Exporting trading performance reports
  • Building personal tools for data filtering & analysis
  • Creating a personal dashboard to evaluate strategy performance
7. Creating Multiple Personal Trading Apps
  • Developing custom tools for strategy tracking
  • Building automation-focused utilities
  • Improving productivity through personalized trading apps
8. Automating Strategy Backtesting
  • Running automated batch backtests
  • Optimizing strategy parameters programmatically
  • Scaling testing across multiple assets and timeframes
9. Automating Strategy Execution
  • Connecting strategies to live markets
  • Executing trades automatically based on signals
  • Risk management and execution monitoring
10. Opportunities with Coding in Trading & Finance
  • Career opportunities using coding in trading
  • Building your own tools, software, and fintech products
  • Freelancing, consulting, and monetizing your trading systems
  • Long-term growth paths as a quantitative trader or developer

Live Class Schedule

πŸ“… Batch Duration: 21 February 2026 – 21 March 2026
Saturday
7:30 PM – 9:00 PM IST
Sunday
7:30 PM – 9:00 PM IST
Wednesday
7:30 PM – 9:00 PM IST

FAQs

Mode of Learning?
Live interactive online sessions
Language?
Hindi
Need prior coding experience?
No, This course is for Beginners only
Will recordings be provided?
Yes
Enroll Now