Invest with AI: Make Exponential Returns Using AI-Powered Trading at IIT Delhi

Learn to use AI Tools & Strategies to Build Smart Portfolios and Maximize Returns

This hands-on workshop is for investors, traders, finance students, and working professionals who want to use AI-powered tools and data-driven strategies to make better trading and investment decisions.

Whether you’re into stock markets, crypto, or long-term investing, you’ll learn how to analyze trends, manage risk, and build strategies using modern AI platforms and indicators.

This workshop is for those who want to:

1) Learn how AI is reshaping investing and trading decisions.

2) Explore how hedge funds and retail investors use machine learning.

3) Discover tools that use AI for chart analysis, signals, and automation.

4) Get a clear understanding of risk, entry/exit points, and technical indicators.

5) Build your first AI-assisted trading strategy live during the session.

6) Learn how to avoid emotional trading using AI-based discipline.

What You’ll Learn:

Introduction: AI in Investing & Trading

Timing (10:30 AM to 11:00 AM)

- AI vs traditional investing – what’s changed

- Use cases in equity, crypto, intraday, and swing trading

- Risks, limitations, and how to use AI responsibly

Market Analysis with AI Tools

Module 1

Timing (11:00 AM to 1:00 PM)

- Learn how to decode charts, trends, and patterns using AI-powered platforms.

Topics Covered:

- AI tools overview: TradingView AI, StockEdge, AI-based screeners

- Interpreting signals: RSI, MACD, EMA with AI suggestions

- AI for price prediction & sentiment analysis (NLP-based)

- Crypto & stock use cases

Skills Acquired:

- AI-assisted technical analysis

- Understanding indicators & market sentiment

- Pattern recognition with tools

- Real-time market scanning

Strategy Building + Risk Management

Module 2

Timing (2:00 PM to 3:30 PM)

- Build and test your own strategy using AI for decision-making and risk control.

Topics Covered:

- Backtesting your ideas using AI platforms

- Risk-reward ratio, stop loss, position sizing

- Portfolio optimization using robo-advisors

- Introduction to algo-based trading logic

Skills Acquired:

- Smart decision-making under risk

- AI-based risk management

- Trading system mindset

- Strategy refinement using feedback

Hands-On Simulation + Future of AI in Finance

Module 3

Timing (3:30 PM to 4:30 PM)

- Apply what you’ve learned in a live simulation and prepare for what’s next.

Topics Covered:

- Live activity: Build and test a simple AI-based trading system

- Exploring platforms: Tradetron, Jarvis Invest, Sensibull

- Future trends: Autonomous trading, GPT agents in finance

- Final Q&A and feedback session

Skills Acquired:

- Practical AI strategy application

- Financial tool navigation

- AI trend awareness

- Critical thinking for smart investing