QuantInsti in 2025: 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 2025 so far!

Table of Contents

INDUSTRY EVENTS

QuantInsti's industry events in 2025 so far showcased innovation and expertise in algorithmic trading, bringing together professionals, institutions, and market leaders to discuss advancements and real-world applications of trading strategies.

Rajib at Mumbai Financial Markets Forum

Rajib Ranjan Borah, Co-Founder and CEO of iRage, participated in the Mumbai Financial Markets Forum at The Indus Club on April 1st, speaking on the Alpha Panel: Leading Traders on Market Trends and the Future of Trading.

The unique, moderator-free session saw lively cross-examinations and direct exchanges between panelists and an engaged international audience. Rajib shared perspectives on how evolving regulations, market structures, and business models are reshaping trading strategies.

Read the detailed insights here.

Rage participated in Asia Pacific’s premier trading infrastructure event, the FIX Trading Conference

April 2, Mumbai | Organized by the FIX Trading Community Asia Pacific, the FIX Conference 2025 in Mumbai brought together more than 500 professionals from 200+ organizations across major global financial hubs. Since its inception in 2008, the FIX Conference has served as one of the most influential platforms for stakeholders in exchange-traded products.

Rajib Ranjan Borah, CEO & Co-Founder of iRage and QuantInsti, contributed to the high-impact panel discussion on "Infrastructure & High-Frequency Trading – The Next Frontier." The session explored the impact of market structure shifts and regulatory developments on the future of high-frequency trading and trading infrastructure in India and beyond. Read More

Participation in FIA Mumbai: Sustainability of Market Liquidity in the Indian Market

20 February 2025 | At the FIA, Inc. Forum in Mumbai, Rajib Ranjan Borah, CEO of iRage, Director at QuantInsti, participated in a panel discussion on the sustainability of market liquidity in India and refining margin rules—issues that continue to shape the future of trading. Dive deeper into his take on this discussion here → FIA Mumbai Discussion

QuantInsti at QUANT EDGE - VII by PhillipCapital India

18th Jan 2025 | We had the privilege of participating in QUANT EDGE - VII, a specialized seminar for options traders. Our very own Rekhit P , Senior Quant Associate, QuantInsti, delivered a session on Backtesting an Options Trading Strategy. This collaboration with PhillipCapital aligns perfectly with our mission to make algorithmic trading knowledge and technology accessible to all.

Lambda Quant x QuantInsti: Indian Institutional Quant Conference 2025

17 January 2025 | We were proud to join forces with Lambda Quant at the Indian Institutional Quant Conference 2025 hosted at St. Regis, Mumbai.
Our Vice President, Prodipta Ghosh, spoke on a panel discussing “Backtesting Methods and Drawbacks.” He was joined by a stellar lineup of industry experts, Kusal Kansara (Nuvama PCG), and Kannan Singaravelu (CQF, Fitch Learning). The session was moderated by Sonam Srivastava (Wright Research).

WEBINARS & WORKSHOPS

To reach our vision of making algorithmic trading accessible to all, QuantInsti hosts Free Learning Sessions featuring prominent industry leaders who share their insights and expertise.

These sessions often attract thousands of registrations, helping us bring our mission to life by reaching a wide audience. While some events are exclusively available to EPAT alumni, the majority are open to everyone, ensuring broad access to cutting-edge knowledge in algorithmic trading.

Build Your Quant Portfolio: First Steps into Algorithmic Trading

24 June 2025 | QuantInsti hosted a live session that demystified how professionals craft data-driven quant portfolios and chart rewarding careers in algorithmic trading. Designed for finance practitioners, developers, students, and career-switchers, the webinar served as a practical gateway into the quantitative world—pairing real-world examples with clear, step-by-step guidance from seasoned mentors.

Joining the discussion were Jay Parmar (Quantitative Researcher, iRage; EPAT® faculty), Mrinall Mahajan (Vice President, BlackRock; EPAT® alumnus), Tomás V. García-Purriños, CFA, CAIA (Senior Asset Allocation Strategist, Santander Asset Management; EPAT® alumnus), and Rohan Mathews (Global Business Head, QuantInsti). Together, they blended hands-on market-microstructure insight, machine-learning-driven asset allocation, macro-quant research, and career-transition guidance into one cohesive roadmap for aspiring quants.

Gen AI and Automated Trading Summit: Algo Trading on MT5 and Trading View

10 April 2025 | This was a power-packed webinar on AI-driven trading and automation, bringing together leading experts and a community of over 6000+ traders, analysts, developers, and students from 110+ Countries.

Check out the complete recording of the webinar here:

In the webinar video above, you will hear from Dr. Ernest P. Chan how Gen AI is not just about LLM, especially for trading applications. Also, you will understand the various applications of GenAI (as opposed to discriminative and unsupervised learning) in finance.

Speakers:

• Dr Ernest Chan, Founder and Chief Scientist, PredictNow.ai
• Varun Pothula, Quantitative Analyst, QuantInsti
• Akshay Chaudhary, Quantitative Analyst, QuantInsti

Key highlights:

• Session 1: GenAI in Finance & Trading
  Dr. Ernest P. Chan explained how Gen AI is not just about LLM, especially for trading applications. Understand the various applications of GenAI (as opposed to discriminative and unsupervised learning) in finance.
  You can access Dr Chan's presentation here: Evolving role of Generative AI in finance
  
  
• Session 2:  Algorithmic Trading on MT5 & TradingView
  Live demonstrations on creating trading bots using Python and Pine Script on MetaTrader5 and TradingView.
  You can access the presentations here Code a Strategy on Pine Script With the Help of ChatGPT by Akshay Chaudhary and Why Use Python to Automate Your Trading? by Varun Pothula

You can download the Python Notebook shared by Varun by clicking the button below:

Download

If you have any questions or feedback related to the webinar, You can drop a comment on our post on our community forum.

MasterClass: High-Frequency Trading, Algo Desk Setup and Quant Career Growth

9 January 2025 | In this webinar, industry experts explored the world of high-frequency trading, shared detailed guidance on setting up an algorithmic trading desk, and provided actionable insights to fast-track careers in quantitative trading.

Check out a snippet of the webinar where Rajib Ranjan Borah explains different roles in a High Frequency Trading Firm:

Speakers

• Rajib Ranjan Borah, Co Founder & CEO, iRage
• Richard Harrison, EPAT Alumni, Quant Trader & Fund Manager
• Rohan Mathews, Head - Global Business, QuantInsti

Key Highlights:

• Essential skills and strengths HFT firms seek in new talent.
• Practical steps to establish your own algorithmic trading desk.
• EPAT program overview: Your roadmap to success in quantitative trading.
• Insightful Q&A session addressing common career growth questions.

Ideal For:

• Finance professionals in India
• International quant traders and entrepreneurs

Watch the Full Webinar Recording here:

Check out the esteemed guest speakers who've shared their insights at QuantInsti's webinars and workshops. Explore insightful sessions from leading industry experts, offering invaluable knowledge in algorithmic trading.

ACADEMIC COLLABS & CONTRIBUTIONS

QuantInsti's collaborations with educational institutions in 2025 so far focused on bridging the gap between theoretical concepts and practical trading applications, empowering the next generation of quantitative analysts and enthusiasts with actionable skills.

IIT Patna | ICTC & Quant-a-thon

March 29, 2025 | QuantInsti proudly partnered as a knowledge partner for the Intra College Tech Championship (ICTC) at IIT Patna, powering the second edition of the Quant-a-thon competition. The event brought together over 400 students for a highly competitive and engaging experience.

Akshay Choudhary, Quantitative Analyst at QuantInsti, conducted a live session on Momentum-Based Strategies, giving students practical exposure to quantitative analysis and its relevance in real market scenarios. The competition encouraged participants to think critically and apply technical concepts to solve trading challenges.

IIT Mandi | Xpecto 2025 Hackathon

March 24, 2025 | As the Knowledge Partner for Xpecto 2025—IIT Mandi’s flagship tech festival—QuantInsti engaged over 5,000 students, researchers, and industry professionals during the last week of March. The hackathon segment featured a QuantInsti-curated problem statement designed to test applied quant thinking and coding skills.

Mahavir Bhattacharya, EPAT faculty at QuantInsti, conducted a foundational session on Introduction to Algorithmic Trading. The competition encouraged application-based problem-solving, and winners were awarded internship opportunities at QuantInsti, providing a pathway into the world of algorithmic trading.

IICPC CODEFEST: India’s Biggest Coding Fest

12 February 2025 | QuantInsti is committed to bridging academic learning with industry-ready skills. As a knowledge partner for IICPC (Inter IIT Competitive Programming Conclave) CODEFEST, we are awarding a 100% EPAT Scholarship to the winner. The event so far has drawn over 45,000 participants from 32 countries and 250+ universities. The top 400 will advance to regionals at eight IITs, while the top 2,000 will receive Certificates of Merit.

Trading Challenge, Indian Institute of Technology, Madras

30 January 2025 | Mahavir Bhattacharya, EPAT faculty led a session on Momentum Trading with Machine Learning, as a beginning of a trading challenge at IIT, Madras. Winners of the challenge received special Quantra pricing and the opportunity to intern at QuantInsti, further bridging academic learning with practical experience in quantitative trading.

Collaborative Workshop with IIT Guwahati - Finance and Economics Club

21st January 2025 | We recently hosted an engaging session on Introductory Options: Trading Strategies Using Combinations in partnership with the Finance & Economics Club – IIT Guwahati. A big thank you to Varun Kumar Pothula (Quantitative Analyst, QuantInsti) for leading an interactive discussion around non-directional options trading, volatility-based strategies (like straddles and strangles), risk management, and market conditions.

“Events like these are critical for sharing knowledge and fostering a better understanding of financial concepts.”
– Varun Kumar Pothula

Our collaborations with academic institutions continue to be a cornerstone of our commitment to advance financial education globally.

Want to know more? Check out our past Academic Collaborations.

Research Spotlight: Trade Informativeness of Foreign Investors in India by Dr Gaurav Raizada

We are proud to highlight the research of Dr. Gaurav Raizada, whose paper "Trade Informativeness of Foreign Investors in India," co-authored with Samarpan Nawn, CFA, was recently published in the Journal of Asset Management.

The study presents he performance of foreign investors’ (FI) portfolio alphas in the Indian stock market. It adopt calendar-time portfolio approaches on a dataset spanning the period 2003-2019. Holdings-based portfolios do not generate abnormal performance, while transactions-based portfolios show buys of foreign investors underperform sells. It investigate whether Direct Market Access (DMA) can help decrease the underperformance of FI. Though DMA reduces the underperformance of FI portfolios on shorter holding periods, trade informativeness remains negative across all trading holding periods, from one day to one year. The trading behavior continues to be positive feedback, indicating informational disadvantage to FI.
Read the Full Paper: https://link.springer.com/article/10.1057/s41260-024-00387-8

PARTNERSHIPS

Cornell Financial Engineering Manhattan presents the Future of Finance AI Conference 2025

September 19, New York | Organized by Cornell Financial Engineering Manhattan, the Future of Finance AI Conference 2025 brought together leading professionals and innovators in quantitative research, AI, and financial technology. The full-day event featured discussions on large language models, predictive analytics, AI infrastructure, and practical strategies reshaping global capital flows.

Since its inception, the conference has served as a platform for pioneering dialogue on the future of finance, connecting industry leaders, academics, and practitioners to explore emerging trends and transformative technologies.

Collaboration with Quantpedia

2025 Quantpedia Research Award | 1st Place

The paper “The Unintended Consequences of Rebalancing” by Campbell R. Harvey, Michele G. Mazzoleni, and Alessandro Melone examined how predictable month-end rebalancing by 60/40 funds can reduce equity prices by approximately 17 bps the following day, resulting in an estimated annual cost of $16 billion for investors. The research also highlighted how informed traders may gain an advantage by positioning ahead of these institutional flows.

Along with other awards, one of the authors received a fully sponsored EPAT® scholarship (worth $9,499) from QuantInsti, supporting excellence in quantitative finance and algorithmic trading.

IN THE NEWS

India’s Systematic Awakening: Nitesh Khandelwal on the Rise of Retail Algo Trading

In this featured interview with BusinessWorld, QuantInsti CEO and Co-founder Nitesh Khandelwal reflects on the changing face of India’s trading landscape. The piece highlights how retail investors are increasingly adopting algorithmic trading, fueled by improved, read more on BW Businessworld.

India Today NE – “Why Algo Trading Is Vital for an Efficient Capital Market”

A macro look at how algorithmic execution boosts transparency and lowers costs, echoing our mission to strengthen markets through technology and education. Read the full article here.

Conclusion

QuantInsti’s 2025 collaborations encapsulated the latest trends, strategies, and technologies in algorithmic and quantitative trading. Stay Tuned as we get you more excited webinars

Next Steps

Explore 2024 Webinars: https://blog.quantinsti.com/collaborations-impact-quantinsti-2024/

Learn with EPAT: https://www.quantinsti.com/epat

Explore Quantra (self-paced trading courses): https://quantra.quantinsti.com/

Try Blueshift (algo trading platform): https://www.quantinsti.com/blueshift