Acuity’s NLP algorithms, powered by advanced machine learning models, enable the extraction of meaningful information from unstructured data. Through techniques like entity recognition, sentiment analysis, and named entity recognition, our technology identifies and categorises key elements within the text, converting it into a structured format that can be easily analysed and integrated into trading platforms and strategies. This capability not only enhances the efficiency of data processing but also unlocks valuable insights from vast amounts of unstructured information, fostering better decision-making and understanding.
We use different methodologies for analysing financial markets to ensure accuracy, comprehensiveness, and adaptability. This approach allows analysts and investors to extract meaningful insights from the diverse and dynamic landscape of financial data. Examples of our methodologies include:
We ingest content from high-quality sources including licensed, gated content and web and social media sources.
Our comprehensive data characterisation and screening capabilities helps you to surface what matters the most, when you need it.
We have over 45 million data points for analysis. Our research papers, historical archives and data visualisations are available to help you to find your competitive edge.
Data visualisations, real-time APIs and multi-channel distribution options available to reach investors where they want to be.
Explore answers to common questions about our products, services, and policies in this comprehensive Frequently Asked Questions (FAQs) section: