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07. 12. 2023

2 min read

Strategic Alpha Opportunities through Advanced Media Sentiment Analysis



Welcome to the cutting-edge of data analytics! AltHub presents a new white paper, offering a comprehensive exploration into reshaping the future of data-driven decision-making with Semantic Visions’ data.

Key Insights:

1/ Comprehensive Media Sentiment Analysis:

• Dive into AltHub’s analysis of Semantic Visions’ vast dataset. We process and analyze over 1.1 million news articles daily, covering global media in 12 languages.

• Witness how this collaboration uncovers untapped alpha opportunities for investors through nuanced media sentiment analysis.

2/ Backtesting Triumphs:

• Explore the backtesting results showcasing the combined prowess of AltHub’s QuantLab module and Semantic Visions’ data.

• Learn how daily aggregated media sentiment data provides a powerful tool for investors to navigate S&P 500 and NASDAQ 100 indices.

3/ AltHub’s Impact:

• Understand the role of AltHub’s purpose-built data analytics platform in transforming raw alternative data into actionable insights.

• See how machine learning models on AltLab360 generate statistical alpha, reaching 15.6% over NASDAQ 100 and 15.4% over S&P 500 indices.

4/ Real-World Portfolio Outcomes:

• Delve into the performance of investment portfolios, showcasing the ability to minimize losses during market rallies and yield substantial returns during downturns.

• Uncover the uncorrelated nature of these portfolios, providing a reliable approach for market-neutral and absolute returns.

Ready to reshape your approach to data-driven decision-making? Download the white paper for an in-depth exploration of AltHub’s perspective on Semantic Visions’ dataset. Empower your decisions, stay ahead of the curve, and redefine success in today’s information-packed world.

Download our White Paper: Strategic Alpha Opportunities through Advanced Media Sentiment Analysis

    Mandatory field

    For inquiries, a demo, or more information, contact sales@semantic-visions.com.

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