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Bootcamp Details

Live Virtual Sessions

4 Days | 2 Weekends

21 March - 29 March

Projects

6 In-class Projects

Hands-on Practical Learning

Add-Ons

3 Courses

Access to Quantra courses worth $599

Price

$999 $1299

20% OFF till 28 Feb, 2026

Timings

8:30 AM – 12:30 PM EST

6:00 PM – 10:00 PM IST

Seats

Limited Seats

Interactive Sessions

Why Join This Bootcamp

Build Real Algos

Turn trading ideas into backtested, automated strategies; not just signals.

Use AI Like a Pro

Work with Agentic AI (Coder, Critic, Backtester) to build and backtest strategies.

Eliminate Hidden Biases

Spot and remove look-ahead bias, overfitting, and false edges.

Manage Risk Like Institutions

Apply professional position sizing and drawdown control.

Use ML Responsibly

Know when ML adds value and when to avoid it.

Learn Live, Stay Supported

4 live virtual sessions, recordings, portal access, and AI support bot.

Speakers & Faculty

A team of quants and traders with 100+ years of combined experience in algo trading education are involved in creation and delivery of course material.

Stefan Jansen
Stefan Jansen

Author of 'Machine Learning for
Algorithmic Trading'

Rajib Borah
Rajib Borah

Co-Founder & CEO at iRage

Ishan Shah
Ishan Shah

Lead, Research & Content, Quantra

Who This Bootcamp Is For

Discretionary traders

Learn to remove emotion and bias

Beginners

Get a structured path into algo trading

Techies & Analysts

Learn to apply AI to markets

Professionals

Automate ideas into real strategies

Curriculum Overview

Curriculum Overview

After Enrollment

Access to Algo Trading Courses on Quantra
  • Course 1: Agentic AI for Trading
  • Course 2: Algo Trading with Zerodha Kite Connect and Python
  • Course 3: Automated Trading with IBridgePy using Interactive Brokers Platform

Day 1

Sat, 21 March

SESSION 1
The Quantitative Landscape & Data-Driven Decisions
  • Understanding the shift from intuition-based trading to data-driven decision making
  • Comparing quant trading, HFT, and AI-driven approaches
  • Identifying market regimes: trends, mean reversion, and volatility
  • Translating raw market data into actionable trade decisions
  • Project 1: Validate Trading Gut Feelings Using Real Market Data
SESSION 2
The Alpha Hunt: Sourcing & Validating Ideas
  • Where profitable trading ideas actually come from
  • Exploring alpha sources: academic research, anomalies, and market observations
  • Framing ideas using the scientific method
  • Why backtesting is non-negotiable before risking capital
  • Project 2: Identify and Define Repeatable Alpha Patterns

Day 2

Sun, 22 March

SESSION 3
Introduction to Agentic AI for Trading
  • Moving beyond single-prompt AI usage
  • Understanding single-agent vs multi-agent AI systems
  • Defining AI roles: hypothesis refiner, coder, and critic
  • Identifying common backtesting biases, such as look-ahead and survivorship bias
  • Project 3: Detect Hidden Look-Ahead Bias in AI-Generated Strategies
SESSION 4
The Art of Survival: Risk Management
  • The difference between gambling and professional trading
  • Position sizing techniques: Kelly Criterion, fixed fractional, and volatility targeting
  • Effective stop-loss placement and why mental stops fail
  • Portfolio construction using correlation and diversification principles
  • Lessons from famous trading blow-ups
  • Project 4: Simulate Risk of Ruin Through Position Sizing Experiments

Day 3

Sat, 28 March

SESSION 5
Financial Data Engineering & Machine Learning Basics
  • Why and when machine learning is useful in trading
  • Preparing financial data for ML models
  • Feature engineering using indicators like RSI, volatility, and moving averages
  • Introduction to core ML algorithms used in trading
  • Project 5: Explore and Visualize Predictive Trading Features
SESSION 6
Training, Testing & Real-World ML Challenges
  • Properly splitting training and testing data
  • Avoiding overfitting and false confidence
  • Choosing the right model for a trading problem
  • Understanding model drift and when retraining is required
  • Practitioner insights on ML failures and limitations in live markets
  • Project 6: Train, Test, and Stress-Test a Simple Prediction Model

Day 4

Sun, 29 March

SESSION 7
Automated Trading using Broker API
  • Details to be announced later
SESSION 8
Putting it all together & Next Steps
  • Connecting strategy design, AI validation, risk management, and automation
  • Review of key learnings across all modules
  • Guidance on next steps for building and scaling trading systems
  • Closing discussion and wrap-up
Enroll Now

6 In-class Projects

6 In-class Projects

Project 1

The Data Detective
Participants test a common trading belief (e.g., “Mondays are bullish”) using real market data by converting intuition into a measurable rule and evaluating performance after costs using a simple pre-written Python script or Excel. As an optional extension, they compare alternative definitions of the same idea to see how results change, showing how many “obvious” ideas fail under objective testing.

Project 2

Alpha Scavenger Hunt
In this project, participants learn to turn vague visual patterns into precise, testable trading rules. Using instructor-provided charts and datasets, they identify a repeatable market behavior and define clear entry, exit, stop-loss, and holding-period rules with assumptions. As an optional extension, they specify regimes where the strategy should not trade, producing an unambiguous blueprint ready for AI-assisted testing.

Gain access to the new Quantra course

Agentic AI for Trading

Self-Paced Course|8 Hours

Learn to build agentic AI systems that reason, collaborate, and backtest trading ideas using Python. Design multi-agent workflows to analyze data, run experiments, and validate ideas.
Explore Course

Bootcamp Fees

Early Bird Discount

Standard Fees

20% OFF till 28 Feb

For New Participants

Early Bird Discount

999 (valid till 28th Feb 2026)

Standard Fees

1299

30% OFF till 28 Feb

For EPATians

Early Bird Discount

699 (valid till 28th Feb 2026)

Standard Fees

909

Ready to Build Real

Trading System?

Enroll Now Connect with Us
Connect with us

What is EPAT?

The Executive Programme in Algorithmic Trading (EPAT®) by QuantInsti is a 6-month online comprehensive certification programme with 120+ hours of live lectures and 150+ hours of recorded content, led by 20+ industry experts to provide hands-on experience for aspiring professional traders.

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Bootcamp 2025 Reviews

Bootcamp 2025 Reviews

Jun Nakajima

Jun Nakajima

Options Trader | United States

After the bootcamp, I was able to broaden my research beyond short-dated options and build a more diversified, cross-asset workflow. By leveraging multi-agent AI effectively, separating roles like data ingestion, hypothesis generation, backtesting, risk checks, and reporting, I could iterate on strategies faster and with more structure across multiple markets. That shift helped me extend my portfolio and strategy set from primarily options income trading to include systematic approaches in stocks and bonds, using the same agent-based process to test ideas, compare regimes, and refine execution with much higher leverage than a single-assistant workflow.

Kanishka Tiwary

Kanishka Tiwary

Derivatives & Algo Trading | Singapore

The bootcamp wasn’t about shortcuts; it was about better thinking. Listening to seasoned professionals talk through their thought processes was far more valuable than just learning tools. The "best takeaway" was hearing successful industry practitioners like Dr Ernest Chan and Thomas Starke acknowledge where models and strategies fail. It helped me reflect on my own decision-making and sharpen the way I evaluate ideas, especially in uncertain market conditions.

Madhavan Jagannathan

Madhavan Jagannathan

Engineering Leader at Velocloud | India

The bootcamp really helped me understand how GenAI can actually be used in trading, not just in theory. What stood out most was the depth of real-world experience the instructors brought in. The format of the bootcamp encourages preparation, self-study, and active engagement during live sessions. The group project and mentor interactions also helped connect the dots. Working through a real problem, discussing approaches with peers, and getting mentor input were very helpful.

Certification of Participation

Participants with 100% attendance in live sessions will be eligible for a Certificate of Participation.

Certificate of Participation

Have Any Doubts?

Ready to join the next wave of AI-driven trading?
Limited Seats Available.

Enroll Now

FAQs

Most trading education focuses on:
  • Indicators
  • Predictions
  • Isolated techniques

This bootcamp focuses on:
  • End-to-end workflow
  • Decision discipline
  • Automation and execution
  • Bias awareness and risk control
You’ll learn how quants and algo traders think, not just what they code.
Absolutely. This bootcamp is built to give traders a powerful head-start into algorithmic trading, even if you’re starting with zero programming experience. You’ll learn how to transform your market intuition into structured, testable trading strategies using guided workflows, pre-built frameworks, and AI-assisted coding support.
To unlock the full potential of algo trading and accelerate your career growth, we strongly recommend learning basic Python concepts such as reading code, understanding functions, and applying logical thinking. These fundamentals will help you move faster, think more independently, and confidently build strategies long after the bootcamp ends.
Yes. The bootcamp provides a structured introduction to trading concepts such as market regimes, alpha generation, risk management, and backtesting. It helps engineers understand how trading ideas are formed, tested, and deployed, and how AI and machine learning are applied responsibly in real trading systems.
You will need a laptop or desktop computer with a stable internet connection. No specific prior software setup or advanced tools are required before the bootcamp; all required platforms, workflows, and access details will be provided during the sessions.
During the bootcamp, the learning portal would have an AI chatbot to get your queries answered. After the bootcamp, you can continue using the portal and AI chatbot for one month. You can also post your queries on the community platform.
Yes. A certificate of participation will be provided, subject to 100% attendance in the online classes.
Yes. Session recordings will be available 24 hours after each session and can be accessed until 30 April 2026.
You will receive an email confirmation. Please reply to the email to receive the invoice. You will also receive access to 3 Quantra courses, allowing you to start learning right away: ‘Agentic AI for Trading’, ‘Algo Trading with Zerodha Kite Connect and Python’, and ‘Automated Trading with IBridgePy using the Interactive Brokers’. The live sessions' joining link will be shared one week before the first lecture.
All course materials will be available through the Quantra learning portal and can be accessed until 30 April 2026.
There is no refund. We recommend speaking to our counsellors to make an informed decision before enrolling.
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