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.
Register Here >Live Session: Automated Trading Using MetaTrader, TradingView & Zerodha
Register Here >B3 launched Quantra’s Portuguese course on “Momentum Trading in Python” to expand the knowledge of Quant Trading to Brazil on 29th October 2024
Read More >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
Read More >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
Watch Here >
Course Partnerships
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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.
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
QuantInsti collaborated with ICE, HKML, and HKUST to unite the Hong Kong quantitative community. Rajib Ranjan Borah, Co-founder of iRage Capital, shared expert insights on risk management and portfolio optimization, fostering innovation and discussion around global finance trends in an ever-evolving marketplace.
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The CMT Association has served the financial industry for nearly five decades, granting the Chartered Market Technician® designation—recognized worldwide as the pinnacle of technical analysis education. QuantInsti has partnered with CMT on multiple events, facilitating knowledge-sharing in the realm of trading and technical analysis.
Read about an event collaboration:
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Hosted by the Stock Exchange of Thailand (SET), Thailand Futures Exchange (TFEX), FlexTrade, and QuantInsti, the Bangkok conference on Options Trading Techniques drew over 150 traders. QuantInsti’s co-founders shared their expertise on options market fundamentals, risk management, algorithmic trading, and automation opportunities in Thailand’s emerging options derivatives market.
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At the Price Outlook Conference and Exhibition, QuantInsti conducted an educational workshop on using futures and options for commodity risk management. This session provided physical traders with the knowledge to effectively deploy derivatives for hedging and trading.
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QuantInsti and Goldman Sachs Asset Management co-hosted a seminar aimed at educating traders, investors, and wealth managers on cutting-edge trading technologies, strategies driven by news analytics, and market microstructure. The event highlighted the expanding opportunities in Exchange-Traded Funds (ETFs).
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UNICOM organized a series of online panel discussions to tackle the disruptions caused by COVID-19 in the finance industry. QuantInsti joined as a panel contributor, offering insights on technological advancements, algorithmic trading, and strategic pivots for traders facing volatile markets.
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QuantInsti, in partnership with the Singapore Exchange (SGX), presented quant strategy-building techniques for equity and currency derivatives. The workshop provided a practical roadmap for designing, implementing, and risk-managing end-to-end trading strategies, catering to both beginners and seasoned traders.
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QuantInsti served as the official knowledge partner at TradeTech FX Europe 2017, the premier gathering for Europe’s top buy-side heads of FX Trading and Portfolio Management. Through interactive sessions, QuantInsti helped traders benchmark their strategies, people, and technology with other market leaders.
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QuantInsti partnered with PhillipCapital India for the Quant Edge IV Seminar, featuring Mahavir Bhattacharya’s insights into NIFTY price range forecasting, strategy creation, and volatility analysis using India VIX. This event showcased how quantitative methods can significantly enhance trading performance.
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As a knowledge partner to QuantConvention, QuantInsti helped shape the focus on algorithmic trading and quantitative strategies. Pre-event webinars by QuantInsti experts, including Akshay Choudhary, laid the groundwork for advanced discussions, demonstrating the transformative potential of programs like EPAT in cultivating skilled professionals.
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QuantInsti joined forces with StockEdge for an interactive webinar on “Options Backtesting Using Python,” led by Akshay Choudhary. The session offered hands-on guidance in leveraging Python for algorithmic trading and bridging the gap between programming and practical market applications.
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Wall Street Horizon specializes in corporate event data, informing traders about market-moving announcements and activities. QuantInsti leverages their data in various quant trading courses, covering data engineering and feature creation for algorithmic models.
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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
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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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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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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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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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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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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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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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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All Past Events
- 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.
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:
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Other Association
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