QuantInsti in 2026: A Summary of our Contributions, Collaborations, Events & Updates

Introduction

At QuantInsti, our commitment to delivering quality education and empowering technology is reflected in our collaborations with renowned institutions and industry leaders. Together, we drive the future of algorithmic trading by fostering innovation and knowledge-sharing through strategic alliances and impactful events.

Here is a list of Announcements, Webinars and Workshops by QuantInsti, Industry Events, and Academic Collaborations, in 2026 so far!

Announcements

New on Quantra: Agentic AI for Trading

If you have ever wished your trading workflow could run like a disciplined research desk, that is what agents help you build. In trading, that usually means faster iteration without losing rigor.

“Fantastic course. Really enjoyed building my own agentic quant team and already have plans to expand.”
Jackie Pineda, EDI Specialist, United States

With an agentic setup, you can:

• Split complex work into roles: researcher, data checker, strategist, risk reviewer, execution planner
• Reduce blind spots by having agents cross check logic, data quality, and bias in your assumptions
• Turn “ideas” into a workflow: prompts become reusable steps, not one-off chats
• Improve consistency with guardrails, checkpoints, and structured outputs you can audit later
• Scale experimentation: test more variations while keeping your reasoning organised

Ready to explore? Start for free Agentic AI for Trading

Want to learn this in a live classroom?

AI AlgoTrader Bootcamp

From Zero to Quantitative Trading Strategist

A 16-hour live, interactive bootcamp that takes you from trading intuition to AI-driven, backtested, and automated strategies using Python, Machine Learning, and broker APIs. Stop staring at charts. Start building a real trading edge.

What you will learn

• Build real algos
• Use Agentic AI like a pro
• Eliminate hidden biases
• Manage risk like institutions
• Use ML responsibly
• Learn live, stay supported

Learn More: The AI Algo Trader Bootcamp

What’s new in EPAT?

EPAT Placements: Recent graduates secured roles such as Quant Analyst, Quant Trader, Quant Strategist, Quant Developer, Junior Trader, and Algo Trading Specialist at firms including COFCO International, ProAlpha Capital, NeoTrader Research LLP, and Alpha Alternatives.

Curriculum Updates: The curriculum now expanded with two new additions: a dedicated module for options backtesting and a foundational track covering Quant & HFT Systems.

EPAT Learning Portal Enhancements: Easier, uninterrupted learning with cross-module search, AskAI, auto-captioned videos, and organised, timely session recordings.

Alumni Meet-Up in Singapore

21 January 2026, The EPAT Alumni Meet-Up in Singapore was built around a simple idea: the programme ends, but the connections should not.

“The meet-up in Singapore reflected the shared dreams, challenges and strength of the quant/trader community. We stayed back to continue chatting late in the evening. EPAT is designed to go beyond the classroom and we are happy to be on the right track. ”
- Rohan Mathews , Global Head of Business, QuantInsti

More EPAT alumni meet-ups and community sessions are planned soon. Write to us at collaborate@quantisnti.com and help us plan the next EPAT Meetup in your city.

Academic collaborations & college events

Knowledge Session at SGX

23 January 2026, SGX hosted a learning session for its employees, conducted by QuantInsti. The online session focused on Agentic AI, showing how AI agents can support the trading workflow from idea to backtest.

SPARQ at Integration 2026 | ISI Kolkata (Knowledge Partner)

We partnered as a knowledge partner for SPARQ, a quantitative reasoning event under Integration 2026, organised by students at ISI Kolkata.

This collaboration brings together strong quantitative foundations and industry-relevant exposure, supporting the next generation of analysts, quants, and problem-solvers.

Finance Club IIT Madras: Machine Learning in Trading

A session with Finance Club IIT Madras focused on introducing systematic trading, quantitative strategies, and how algorithms are shaping modern markets, with “Machine Learning in Trading” as the theme.

News & press coverage

Algorithmic trading market to reach $1.55 billion by 2033  The Hindu BusinessLine

16 Jan 2026, A market-size outlook story shared by BusinessLine, citing IMARC Group. Their LinkedIn post mentions the market rising from ~$562M (2024) to ~$1.27B (2033) (the headline uses $1.55B by 2033).
Read More

Conclusion

2026 has already been a strong start for QuantInsti, shaped by one clear focus: making algorithmic trading education more practical, more current, and more connected to real industry workflows. From launching Agentic AI for Trading and bringing live learning to the forefront through the AI AlgoTrader Bootcamp, to strengthening EPAT with curriculum additions, learning portal enhancements, and visible career outcomes, our priority remains building capability, not just curiosity.

Alongside this, our academic collaborations and knowledge sessions with institutions such as SGX and leading campuses reflect our commitment to supporting the next generation of quants and problem-solvers. And as the broader market conversation around algorithmic trading continues to grow, we aim to contribute with grounded insights, credible education, and a community that keeps learning together.

More sessions, partnerships, and community meet-ups are on the way. If you would like to collaborate, host a session, or help us bring an EPAT alumni meet-up to your city, write to us at collaborate@quantinsti.com.

Next Steps

• Explore Announcements, Webinars and Workshops by QuantInsti, Industry Events, and Academic Collaborations from 2025: QuantInsti in 2025
• Explore 2024 webinars: Review key collaborations and takeaways from the year’s sessions: 2024 QuantInsti Webinars.
• Learn with EPAT: A career-oriented programme in quantitative & algorithmic trading: EPAT.
• Explore Quantra: Self-paced, hands-on Quantitative Finance Courses. Try Blueshift: Research, backtest, and deploy strategies: Blueshift.