Data Analysis for Trading in Shares and Commodity Market

Data Analysis for Trading Course | Learn Market-Moving Economic Indicators

Trading becomes difficult when decisions are based on guesswork, emotions, or confusing technical charts. But the truth is simple: markets move because DATA moves them. Every major rise or fall in stock or commodity prices is triggered by economic reports, global indicators, demand–supply updates, and macroeconomic events.

This course, Data Analysis for Trading in Shares & Commodity Market, is designed to teach you the exact data points that influence stocks, metals, energy commodities, and the overall financial market. Instead of relying solely on technical indicators, you will learn to analyze powerful economic data such as CPI, PMI, GDP, unemployment claims, LME inventory, crude oil inventory, retail sales, and more.

Legal Disclaimer

This course is for educational purposes only and explains how the Indian Stock Market works. It does not provide financial advice, investment recommendations, trading signals, or personalised guidance.

We are not authorised or regulated by the Financial Conduct Authority (FCA) in theUK, U.S.A, Europe and therefore do not offer any regulated financial services. Examples and market references are for illustration only.

Trading and investing involve risk of financial loss. Learners should conduct their own research and seek advice from an FCA-authorised financial adviser before making any investment decisions.

By enrolling, you acknowledge that all trading or investment decisions you make are entirely your own responsibility.

Why This Course Is Perfect for You

•  Learn to trade with real market data, not guesswork
•  Master the most important global and Indian economic indicators
•  Identify high-probability trades using data releases
•  Understand how data affects stocks, crude oil, metals, and indices
•  Learn from an Economist with real-world market experience
•  Perfect for intraday traders, long-term investors & commodity traders
•  Receive a prestigious NIFM Certificate

This is not a technical analysis course.

This is a market intelligence course — the knowledge every successful trader relies on.

Frequently Asked Questions (FAQs)

1. Do I need prior knowledge of economics or trading?

No. Everything is explained in simple Hindi with real examples.

2. Will this help me trade better?

Yes! You will understand why the market moves, which improves your accuracy significantly.

3. Is the course suitable for both equity and commodity traders?

Absolutely. Data affects both markets, and you’ll learn the impact clearly.

4. Can beginners join this course?

Yes. Beginners, students, and working professionals benefit greatly.

5. Will I get a certificate?

Yes — you receive an official NIFM Certification.

6. What language is the course in?

The entire course is in Hindi for easy understanding

What you will get?

Pre-recorded chapter vise videos - Yes(1 Hours)

Language:  HINDI

Book:  Yes

Certification: Certification from NIFM

Faculty: Mr. Arvind Sharma (Economist & Fundamental Analyst)

The Data Analysis for Trading in Shares and Commodity Market course transforms the way you trade by helping you understand the real factors that move markets. Instead of relying only on charts or indicators, this course shows you how to read economic data, identify market sentiment, predict price movements, and make smart, high-probability trades.

Through step-by-step video lessons taught by Economist & Fundamental Analyst Mr. Arvind Sharma, you will learn how to interpret critical global and domestic economic data—such as CPI, GDP, PMI, LME inventory, unemployment claims, crude oil inventory, and more. Each concept is broken down into simple, actionable insights you can apply immediately.

By the end, you’ll know exactly which data points matter, what they mean, where to find them, and how to use them to improve your accuracy and profitability in both the share and commodity markets.

Computer, Laptop, ipad, tab or mobile phone required with broadband or 4G internet.

• Traders
• Investors
• Students
• Analysts
• Bankers
• Researchers
• Employees (Broking/Sub-broking)