Social Sentiment Insights (SSi) is an AI and blockchain-powered equity research and trading platform that aggregates and analyzes data from social media and news sources to provide real-time sentiment insights for institutional investors. By leveraging machine learning, SSi enables firms to make informed investment decisions, maximizing gains and minimizing risks associated with social trading dynamics.
Funding
Funding not disclosed
Founders
Product
Problem
Institutional investors often struggle to incorporate real-time public sentiment into their decision-making processes, missing critical insights from social media and news sources that can impact stock performance. The rise of social trading and meme stocks highlights the need for tools that can effectively analyze and interpret the vast amounts of unstructured data available online.
Solution
Social Sentiment Insights (SSi) is an AI-powered platform designed to provide institutional firms with real-time sentiment analysis derived from social media and news sources. By leveraging machine learning and natural language processing, SSi aggregates and analyzes data to generate actionable insights for investment research and trading strategies. The platform helps investors identify opportunities, manage social risk, and create portfolios aligned with market sentiment. SSi's technology enables firms to monitor social buzz, assess ESG sentiment, and integrate sentiment-based technical analysis into their workflows.
Target Audience
The primary customers are asset managers, hedge funds, investment banks, broker-dealers, boutique research firms, financial media outlets, and fintech companies.
Features
- AI-powered sentiment analysis of social media and news data
- FAANG Sentiment Dashboard providing insights for Facebook/Meta, Amazon, Apple, Netflix, and Google/Alphabet stocks
- Customizable alerts and trending word clouds for timely information
- Sentiment-based technical analysis tools for enhanced trading strategies
- ESG sentiment scoring for impact investing
- API interface for integration with quantitative models
- Private blockchain architecture for collaboration and compliance