At Permutable, we’ve just returned from an exciting debut at Eagle Alpha’s New York Alternative Data Conference. We’re thrilled to report that our attendance at this event exceeded all expectations, providing an excellent opportunity to showcase our advanced sentiment analytics capabilities to quants and alternative data buyers across the institutional investment landscape. The response from hedge funds and quantitative firms was overwhelmingly positive, confirming how hedge funds are using alternative data in 2025 and the strong market appetite for sophisticated sentiment-driven trading solutions of the kind we provide.
Key highlights
CEO pitch generates significant market interest
The highlight of our participation was undoubtedly when our CEO and founder delivered a compelling presentation on our advanced sentiment analytics capabilities. During his slow, he explored how sophisticated our predictive sentiment models are reshaping quantitative trading and systematic trading strategies, generated significant interest amongst attendees and positioning Permutable as one of the best up and coming alternative data providers for institutional investors. Following the presentation, we experienced a plethora of interest from quants and alternative data buyers and portfolio managers seeking to understand how our advanced sentiment analytics could enhance their trading strategies.
Strong response from quants and data buyers
Throughout the conference, we were delighted by the keen interest shown in our alternative data for hedge funds and institutional trading solutions. We engaged with numerous systematic trading firms, quantitative investment managers, and institutional investors seeking alternative data who were particularly keen to explore our advanced sentiment analytics for equity and fixed income markets, predictive sentiment analysis for commodities and macro trading strategies, and real-time sentiment monitoring capabilities. The response from quants was particularly encouraging, with many expressing strong interest in incorporating our systematic trading sentiment signals into their algorithmic decision-making processes and comprehensive risk management frameworks.
One-to-ones in the Explorer Hub
Our presence in the Explorer Hub proved to be the perfect platform for demonstrating our cutting-edge data intelligence capabilities on a one-to-one basis to a highly targeted audience of alternative data professionals. Our pre-booked visitors were consistently impressed by our innovative approach to natural language processing for financial markets, multi-source sentiment aggregation across news, and predictive sentiment modelling for forward-looking market insights. Our live demon of our sentiment indices tailored to specific investment mandates and real-time sentiment monitoring capabilities for tactical trading opportunities generated considerable interest and numerous follow-up requests.
Strategic partnership opportunities
The conference facilitated numerous productive conversations with potential data buyers and strategic partners across the alternative investment ecosystem. We’re now actively following up on several promising opportunities that emerged from these discussions, including potential collaborations with multi-strategy hedge funds seeking enhanced sentiment signals and quantitative asset managers looking to incorporate alternative sentiment data into their models.
Building on conference success
We’re immensely grateful to everyone who took the time to visit us, engage with our team, and share their insights about the evolving needs of the alternative data market. A big thanks to the team at Eagle Alpha for providing us with the opportunity to debut our best-in-class sentiment analysis solutions that truly address the challenges faced by modern investment professionals. For those who expressed interest in our market sentiment analysis solutions, our team will be in touch soon to further discuss the tangible value our data intelligence platform can deliver.
Explore our advanced sentiment analytics
If you’re reading this and would like to find out more about how our advanced sentiment analytics can transform your systematic or quantitative trading approach, we’d love to hear from you. Whether you’re a hedge fund seeking systematic trading sentiment signals, a quant looking for predictive sentiment model inputs, or an institutional investor exploring alternative data solutions, our team is ready to demonstrate the power of AI-driven market intelligence.
Get in touch today to:
- Schedule a personalised demonstration of our advanced sentiment analytics platform
- Explore how our alternative datasets for trading can enhance your existing models
- Learn about our real-time sentiment monitoring capabilities for systematic trading
Contact our Head of Client Solutions and Partnerships Michael Brisley to arrange a consultation at enquiries@permutable.ai and discover why leading institutional investors are choosing Permutable as their preferred alternative data provider for sophisticated sentiment analysis.
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Q&A: Market Sentiment Analysis
Q: What exactly is market sentiment analysis and how does it differ from traditional fundamental analysis?
A: Market sentiment analysis is the process of quantifying and interpreting the collective emotions, opinions, and attitudes of market participants towards specific assets, sectors, or markets. Unlike traditional fundamental analysis which focuses on financial statements, economic indicators, and company metrics, sentiment analysis leverages natural language processing and machine learning to extract insights from news articles, social media posts, analyst reports, and other textual data sources. This approach provides a real-time pulse of market psychology that can often predict price movements before they’re reflected in traditional financial metrics.
Q: How accurate is sentiment analysis in predicting market movements?
A: The accuracy of sentiment analysis depends heavily on the sophistication of the underlying models, data quality, and the specific market conditions being analysed. Our advanced sentiment models typically demonstrate predictive accuracy rates of 65-75% for short-term market movements, with higher accuracy achievable when combined with traditional quantitative signals. However, sentiment analysis is most powerful when used as part of a comprehensive investment strategy rather than as a standalone predictor, particularly for risk management and timing optimisation.
Q: How quickly can sentiment analysis identify market-moving events?
A: Our real-time sentiment monitoring capabilities can identify significant sentiment shifts within minutes of news breaking or social media trending. This speed advantage is crucial for quantitative trading strategies and risk management, as sentiment often moves markets before the underlying news is fully digested by traditional analysis methods. Our alert systems can notify portfolio managers of material sentiment changes as they occur.
Q: Can sentiment analysis be applied to all asset classes?
A: Yes, our sentiment analysis models are designed to work across equities, fixed income, commodities, currencies, and alternative assets. However, the effectiveness varies by asset class, with equity markets typically showing the strongest sentiment-price correlations. We’ve developed specialised models for each asset class that account for the unique characteristics and information flows relevant to that market.