AI/NLP-derived market sentiment & media-attention signals

Name: AI/NLP-derived market sentiment & media-attention signals: real-time sentiment and 'awareness' (media coverage intensity) scores across 100-150+ financial market topics (equities, crypto, macro, FX, commodities, bonds), derived from continuous NLP scoring of 50,000+ global news/social sources in 72 languages
Creator: Adalytica

ADALYTICAManage supplier listing

AI/NLP-derived market sentiment & media-attention signals: real-time sentiment and 'awareness' (media coverage intensity) scores across 100-150+ financial market topics (equities, crypto, macro, FX, commodities, bonds), derived from continuous NLP scoring of 50,000+ global news/social sources in 72 languages

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Coverage

Universe, instruments and categories.

Industry: Financial Exchanges & Data
Instruments: equitiescryptocommoditiesfxfixed_income

Dataset card

Type: not stated
Format: Multimodal
Volume: 1M+ news/social stories processed daily across 72 languages from 50,000+ sources; signals span 100-150+ topics across 12 signal domains, with up to 5 years of backtestable history (3 years available to Pro subscribers)
Users: 1-10 employees per company profile (3 co-founders plus a small team); ~632 LinkedIn company-page followers; Pro API client count not disclosed
History: 5 years
Update frequency: not stated
Growth: Active — recent product launches (Sentiment Explorer API Python package on PyPI/GitHub, new 'AI Agents' feature, new News section) through 2026 indicate ongoing active development
Launched: 2022 (company founding year per About page; underlying data collection reportedly began pre-incorporation)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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