We process 1 billion data points daily arriving from news, social media, and other public sources related to financial markets, equities, commodities, digital assets, and other investment instruments.

This comprehensive analysis offers insights into sentiment dynamics, emerging trends, risk factors, and key stakeholders.

Reduce the time spent by your analysts by up to 90% and benefit from truly data-driven investment decisions.

Build Your Private or Public Assets Portfolio in PUMP to:

Our unique datasets track and quantify the impact of social media on thousands of assets and generate ALPHA providing a detailed analysis of activities of influencers, financial professionals, retail investors, and bots across social media platforms.

By combining quantitative data with fundamental analysis, this tool offers deep insights and actionable trade ideas to enhance your trading strategy.

Pulse Sentiment

This dataset offers sentiment scores from the complete asset universe-related social media, enabling tracking of sentiment over time and analysis of its correlation with market movements, with insights into how influencers, financial professionals, investors, and bots impact sentiment.

This dataset analyzes sentiment from social media, tracking trends over time and correlations with market movements. Metrics like Dominating sentiment provide nuanced views of overall sentiment direction, considering bullish, bearish, and neutral mentions.

This dataset analyzes the impact of key opinion-makers on retail investors and sentiment. It gathers data from over 10 million social media accounts, offering insights into topics covered by influencers, including topic popularity within specific influencer groups.

This dataset focuses on trending financial articles among influencers and professional investors, capturing social media momentum and providing early market signals. With a 99% data accuracy rate and specialized financial asset focus, it offers comprehensive insights through news sentiment and social media reactions. The dataset includes news text, source, sentiment, and labels like virality and popularity among professionals.

This dataset provides detailed sentiment analysis and classifying mentions into facts, opinions, or predictions. It offers comprehensive insights including sentiment scores (neutral, bullish, bearish), asset codes, and fact_level labels indicating mention nature (fact, opinion, prediction) from different data sources.

This dataset includes post text and AI-generated labels indicating sentiment (bullish, bearish, neutral), authenticity (bot or non-bot), fact level (opinion, prediction, fact), and spam classification.

This dataset evaluates the sentiment of mentions related to bank stocks providing insights into prevailing market sentiment and the level of public belief in potential mass deposit withdrawal.

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