Advances in NLP, machine learning, and LLMs now allow asset managers to filter noise and extract actionable insights from platforms like Reddit, YouTube, and TikTok.
On July 29th, we hosted a webinar focused on sentiment analysis across Reddit, YouTube, and TikTok. As investors increasingly turn to social platforms for market insights, understanding sentiment trends has become essential for data-driven investment strategies.
NLP-as-a-Service (NLPaaS) refers to cloud-based platforms that provide natural language processing capabilities through APIs and SDKs, and platform interface. This allows users to integrate language understanding into applications without building and training NLP models from scratch.
In response to the latest developments on trade policy, we’ve curated a dedicated Tariff Collection on the Eagle Alpha platform, featuring 17 high-value datasets across categories such as trade flows, consumer behavior, and supply chain dynamics.
The global automotive industry has faced challenges due to high inflation and rising raw material costs. Despite a slowdown in sales in 2022 caused by a semiconductor shortage, the market has been recovering since COVID-19.
This short report introducing the application of alternative data for investment research, considers two novel methods of analyzing a company using employee perception and customer experience insights.
As part of Eagle Alpha’s January Next Level Conference, on Thursday, January 18th we organized an analyst lunch to discuss interesting data trends for the 'Magnificent Seven’.
News data is a crucial element in investment research, providing real-time information on various factors that can influence financial markets.
In this article, we provide an overview of academic research in sector rotation strategies and discuss how alternative datasets can be used in sector rotation strategies. We highlight news sentiments, ETF flows, employment data, and satellite data.
On April 25th, we were joined by a range of AI and NLP experts to discuss the rise of generative AI and Large Language Models (LLMs). We specifically focused on how alternative data stakeholders have been adapting their operations across infrastructure, modeling, and application.
In this article, we document a timeline of mergers and acquisitions in the alternative data industry over the years and present exclusive commentary from industry leaders.
Natural language processing (NLP) is the branch of computer science concerned with building programs that can process and understand human language. NLP combines computational linguistics with statistical, machine learning, and deep learning models.
