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

Algorithmic Trading & Options Risk Management | April 9, 2026

Free Live Workshop on Python for Trading Using AI

Move from discretionary ideas to systematic, rule-based decision-making. Explore how Python, AI, and professional risk management come together in real-world trading. Learn from iwith Dr Gaurav Raizada co-founder, iRage, Kelvin Foo, founder of Elemen79 and Vivek Krishnamoorthy, Head of Research, QuantInsti and gain a practical introduction to algorithmic trading and options risk management, core to QuantInsti’s flagship EPAT programme.
Register Now

How AI is Reshaping the EPAT Learning Experience?

AI is helping make the EPAT learning journey more practical, interactive, and aligned with how modern traders and quants actually work.

• Accelerated Coding and Analysis: AI-powered tools significantly speed up the process of writing, debugging, and analysing code for participants.
• Instant query resolution inside the LMS: Learners can get immediate answers, with references drawn directly from EPAT course content, through AI support available on the EPAT LMS desktop version.
• Advanced Project Work: Participants are moving beyond basic models, focusing on sophisticated quantitative techniques and leveraging diverse data sources, including market news and price action, to achieve a market edge.
• AI-enabled live trading workflows: Strategies can be deployed across multiple platforms using languages such as MQL5 and Pine Script, and integrated with broker APIs, including IB API, Kite API, and Alpaca API.
• Exploration of Emerging Trading Tech: The curriculum includes experimenting with LLM use cases in trading and multi-agent AI orchestration,

pushing the boundaries of technology-driven trading strategy development.

Explore EPAT’s AI-enhanced learning experience in the upcoming batch. Explore EPAT!

AI WhatsApp agent for personalised assistance

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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

AI AlgoTrader Bootcamp

From Zero to Quantitative Trading Strategist

QuantInsti’s AI Algo Trader Bootcamp is now underway as a live, hands-on programme built around AI-driven strategy development, backtesting, automation, and broker API workflows. With speakers including Stefan Jansen, Rajib Borah, Ishan Shah, Satoshi Ido of Alpaca, and Nivas K of Zerodha, the bootcamp also signals strong relevance across both the learning and brokerage ecosystem.

Packt x QuantInsti - GenAI and LLMs for Futures Trading

QuantInsti collaborated with Packt on GenAI and LLMs for Futures Trading, a learning bundle designed to make AI more practical and relevant for real trading workflows. From a branding perspective, this collaboration strengthens QuantInsti’s positioning at the intersection of trading education, applied AI, and industry-led learning. With a live virtual workshop by Dr Paul Bilokon and Quantra’s Agentic AI for Trading course as part of the bundle, the initiative helped reinforce the brand’s role in bringing structured, real-world AI use cases closer to traders and market learners.

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 and Industry Collaborations

Face2Face Multi-Asset Trading Conclave 2026

12th March 2026 | Nitesh Khandelwal spoke on “Algo Trading: Why Not!”, while Ishan Shah covered demystifying algo trading, from discretionary chaos to AI-powered automation.

“As AI becomes a bigger part of trading, these discussions matter because they help traders move beyond hype and understand where technology can genuinely add structure, speed, and better decision-making.”- Nitesh Khandelwal

Zerodha Varsity

28th Feb 2026 | Our collaboration with Zerodha Varsity brought algo trading learning to a wider audience through a practical 2-day programme focused on fundamentals, backtesting, and AI-assisted workflows.

IIT Mandi

At Xpecto 2026, IIT Mandi, QuantInsti came on board as a Knowledge Partner for the Quant Hackathon, while also contributing an educational session on algorithmic trading led by Mahavir B. The collaboration helped position QuantInsti within a high-potential student and innovation-led environment, while further reinforcing the brand’s focus on practical learning, market relevance, and academic engagement.

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 Update

Moneycontrol | Risk, Speed and Fairness in Derivatives

At the Moneycontrol Global Wealth Summit 2026, Nitesh Khandelwal shared his perspective on risk, market access, and fairness in derivatives trading. The mention places QuantInsti within a wider market conversation around informed participation and responsible trading.
Read here.

Moneycontrol | Retail Traders and Options Losses

In Moneycontrol’s coverage of retail participation in options markets, Nitesh Khandelwal highlighted how unrealistic return expectations can push smaller traders toward high-risk behaviour. The article adds to QuantInsti’s voice in discussions around trading behaviour, market structure, and risk awareness.
Read her.

India Market Update:

The NSE’s shift to nanosecond-level response times from April 11 marks a major infrastructure upgrade that puts even greater focus on execution quality and market plumbing in intraday trading. Meanwhile, the RBI’s tighter credit rules for capital market intermediaries from April 1 are expected to push the ecosystem toward more disciplined leverage and collateral practices.

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.