Latest Partnership & Events News

Live Session by Dr Ernest P Chan: Insights into the various applications of GenAI in finance, as opposed to discriminative and unsupervised learning.

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Live Session: Automated Trading Using MetaTrader, TradingView & Zerodha

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B3 launched Quantra’s Portuguese course on “Momentum Trading in Python” to expand the knowledge of Quant Trading to Brazil on 29th October 2024

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Paul Bilokon shared a brief history of AI in financial markets, along with a treasure cove of resources in an event hosted by QuantInsti in Sep 2024. Read Reinforcement Learning in Finance: Resources and Expert Advice from Paul Bilokon

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Yashas Khoday, founder of FYERs, a leading stock trading platform, shared challenges for retail traders in the domain of Algorithmic trading in Algo trading conference hosted by QuantInsti in Sep 2024

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Course Partnerships

Python Interactive Learning Platform

Our courses on Quantra, co-authored by industry experts and institutions, provide the practical expertise needed to facilitate the future of algorithmic trading. QuantInsti’s commitment to quality education is reflected in the depth of experience and insights provided by our contributors.

Bridging Academia and Practice: These courses help to bridge the gap between academic theory and real-world financial applications, making the learning practical and directly applicable.

Interactive Brokers NSE Academy FXCM Quantpedia MCX IBridgePy

Co-Authors at Quantra

Dr Ernest P. Chan

Dr Ernest P. Chan

CEO, Predictnow.ai

Dr Thomas Starke

Dr Thomas Starke

CEO, AAAQuants

Andreas F. Clenow

Andreas F. Clenow

Principal & CIO, ACIES Asset Management AG

Dr Terry Benzschawel

Dr Terry Benzschawel

Founder and Principal at Benzschawel Scientific, LLC

Laurent Bernut

Laurent Bernut

Published Author and CEO, ASC

Dr Roger Hunter

Dr Roger Hunter

Chief Technology Officer at QTS Capital Management, LLC

QuantInsti Contributions

At QuantInsti, we deliver quality education and empower technology through collaborations with leading institutions and industry experts. Strategic alliances and impactful events drive the future of algorithmic trading, making learning accessible and fostering knowledge-sharing. These contributions align with our vision to empower individuals and institutions in financial markets by making algorithmic trading knowledge and technology accessible to all.

QuantInsti’s Participation

Industry Events

QI & the faculty members are often invited to participate in events in the following domains.

  • Algorithmic Trading
  • High Frequency Trading
  • Regulatory Environment
  • Systematic Trading

Academic Events

Types of partnerships include:

  • On Campus Workshops
  • Online webinars
  • 6-month learning partnerships
  • Algorithmic trading Competitions
  • Project Mentorship
  • Credit courses in Algo Trading & more
NTU Logo

Nanyang Technological University invited QuantInsti to share industry knowledge on algorithmic trading with MFE students. Led by CEO Nitesh Khandelwal and VP Prodipta Ghosh, the session offered real-world experiences, giving future quants an inside look at modern trading practices.

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NUS Logo

At NUS Business School, QuantInsti conducted a session on ‘Setting Up Your Algorithmic Trading Desk,’ as part of the Quantitative Finance 101 series by the NUS Investment Society. Students explored the crucial steps in establishing a robust, technology-driven trading framework.

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IIM Lucknow Logo

During the Algo Trading Challenge 2021, Alpaca and QuantInsti conducted a workshop at IIM Lucknow's Manfest-Varchasva 2020-21. This session focused on imparting practical algorithmic trading insights, showcasing live coding and backtesting demonstrations.

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Finance Economic Club IIT Logo

QuantInsti collaborated with the Finance & Economics Club, IIT Guwahati, to introduce students to the foundations of options trading using combinations. The workshop offered a hands-on look at options strategies, inspiring young finance enthusiasts to delve deeper into data-driven trading.

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AIMS Logo

QuantInsti joined hands with AIMS-DTU as the official knowledge partner for brAInwave 2024, focusing on the intersection of finance and technology. Through webinars on momentum trading and autocorrelation, QuantInsti showcased practical machine-learning applications, underscoring its commitment to nurturing future quantitative analysts.

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Quant Comm Logo

The Quant Community at IIT Bombay hosted a session featuring Rekhit P. on Momentum Trading, including discussions on Autocorrelation and Market Inefficiencies. The enthusiastic audience engaged with insightful questions, reflecting a strong appetite for learning. Organised with QuantInsti, the event emphasised bridging theory and practice in algorithmic trading, reinforcing QuantInsti’s mission to make advanced trading knowledge widely accessible.

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Strath Union Logo

The Strathclyde Trading & Portfolio Management Society hosted an online Algorithmic Trading in Python Workshop in collaboration with QuantInsti. The session provided a comprehensive overview of factor investing and algorithmic trading, explaining how to merge both approaches. Participants learned about factor investing principles, the fundamentals of algorithmic trading, and how to create and backtest a factor-based trading model.

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Finance Club IIT Logo

IIT Madras invited QuantInsti for a session on “Systematic Trading Strategies and Factor Modelling.” Led by our industry experts, it demonstrated how budding quants could conceptualise, build, and test robust algorithmic trading strategies on platforms like Quantra Blueshift.

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  • Ecole Polytechnique
  • FIX Conference
  • HEC Paris
  • IIM Ahmedabad
  • IIM Kashipur
  • IIM Lucknow
  • IIM Ranchi
  • IIT Bombay
  • IIT Delhi
  • IIT Guwahati
  • IIT Kanpur
  • IIT KGP
  • IIT Madras
  • IIT Roorkee
  • Jagdish Sheth School of Management
  • Kenanga
  • LAQSA IIQC
  • Le High University
  • MoneyControl
  • MSCI
  • NMIMS
  • Princeton UChicago Conference
  • PyData
  • QuantCon
  • Quantiacs
  • Running River Investment LLC
  • Symphony Fintech
  • Thomson Reuters
  • Trading Technologies
  • Tradologics
  • WorldQuant
  • Yale University
  • Zerodha

Guest Speakers

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 around 10,000 registrations and 5,000 attendees, 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.

Dr. Larry Harris

Dr. Larry Harris

Year: 2022

Webinar: EPAT Convocation Speech

Nithin Kamath

Nithin Kamath

Year: 2016

Webinar: Programmatic Trading in Indian Markets using Python with Kite Connect API

Rajib Ranjan Borah

Rajib Ranjan Borah

Year: 2024

Webinar: Webinar : Skills HFT Firms Are Searching For in New Talent

Stefan Jansen

Stefan Jansen

Year: 2024

Webinar: Trading in the Age of AI: How to Stay Ahead! | AI-Powered Trading Workshop 2024 [Panel Discussion]

Peter Hafez

Peter Hafez

Year: 2024

Webinar: Algorithmic Trading Conference 2024

Paul Bilokon

Paul Bilokon

Year: 2024

Webinar: Reinforcement Learning in Finance: Unlocking AI-Driven Trading Strategies with Dr. Paul Bilokon

Yashas Khodey

Yashas Khodey

Year: 2024

Webinar: Algorithmic Trading Conference 2024

Dr. Cristiano Arbex Valle

Dr. Cristiano Arbex Valle

Year: 2021

Webinar: Using sentiment and alternative data in trading [Panel Discussion]

Deepak Shenoy

Deepak Shenoy

Year: 2017

Webinar: How to Use Financial Market Data for Fundamental and Quantitative Analysis

Nicolas Rabener

Nicolas Rabener

Year: 2020

Webinar: What impacts a Quant Strategy? [PANEL DISCUSSION]

Dr Xiao

Dr Xiao

Year: 2020

Webinar: Application of AI & News Sentiment in Finance [Research Presentations]

Michael Harris

Michael Harris

Year: 2020

Webinar: Regime Changes and Their Impact on Quant Strategy by Michael Harris [WEBINAR]

Binni Ong

Binni Ong

Year: 2022

Webinar: Education in financial markets: Structured approach & emerging trends

Karthik Rangappa

Karthik Rangappa

Year: 2022

Webinar: Education in financial markets: Structured approach & emerging trends

Vivek Bajaj

Vivek Bajaj

Year: 2022

Webinar: Education in financial markets: Structured approach & emerging trends

Late Prof. Gautam Mitra

Late Prof. Gautam Mitra

Year: 2022

Webinar: [FREE WEBINAR] Ask Me Anything On Sentiment Analysis In Trading

Dr. Matteo Campellone

Dr. Matteo Campellone

Year: 2021

Webinar: Using sentiment and alternative data in trading [Panel Discussion]

Dr. Ravi Kashyap

Dr. Ravi Kashyap

Year: 2021

Webinar: Using sentiment and alternative data in trading [Panel Discussion]

David Jessop

David Jessop

Year: 2021

Webinar: Current trends in quant finance [Panel Discussion]

Dr. Debashis Guha

Dr. Debashis Guha

Year: 2021

Webinar: Current trends in quant finance [Panel Discussion]

Richard Rothenberg

Richard Rothenberg

Year: 2021

Webinar: Current trends in quant finance [Panel Discussion]

Evgeny Tishkin

Evgeny Tishkin

Year: 2021

Webinar: Implementing Pricing Model and Dynamic Asset Allocation [Webinar]

Mrinal Mahajan

Mrinal Mahajan

Year: 2021

Webinar: Implementing Pricing Model and Dynamic Asset Allocation [Webinar]

Richard Harrisonn

Richard Harrisonn

Year: 2024

Webinar: Webinar Journey to Set Up Your Own Algo Trading Desk

Partnership with Market Data Providers

The Users can consume Market data across multiple asset classes and geographies on our Blueshift Platform

Datasets available:

  • Indian Equities
  • Forex
  • US Equities

Our Market Data Partners / Vendors include:

AlgoSeek Logo Quandl Logo Sharadar Logo

Other Association

Quantiacs WSH Logo
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