Social Sentiment Insights (SSi) is an AI and blockchain-powered equity research and trading platform designed for institutional investors. It collects, aggregates, analyzes, organizes, and visualizes data from multiple social media and news sources to deliver actionable sentiment insights. The platform helps users multiply gains and minimize risk by providing real-time sentiment analysis, social buzz monitoring, and customizable alerts.
Key Features
- Sentiment analysis using large-scale data and machine learning, including GenAI and Transformers, for accurate natural language understanding.
- FAANG Sentiment Dashboard with sentiment trends, social buzz, and word clouds for key tech stocks.
- Superimposition of sentiment data on trading charts to combine sentiment-based technical analysis with price-based indicators.
- Highly configurable architecture supporting multiple use cases, correlation analysis, and API access for quantitative models.
- Private blockchain architecture for collaboration, transparent commissions, and compliance.
Use Cases
- Investment Research: Create and rebalance portfolios based on sentiment correlation and sentiment-driven technical analysis.
- Trading: Use sentiment as a leading indicator to enhance trading signals and gains.
- Managing Social Risk: Monitor social buzz and sentiment volatility to manage exposure to high-risk stocks.
- Impact Investing (ESG): Automate ESG sentiment scoring from unstructured data to improve socially responsible investing.
Who It’s For
- Research Analysts, Traders, Market Risk Analysts, and Portfolio Managers at asset managers, hedge funds, investment banks, broker-dealers, and financial media firms.
Key Benefits
- ML models outperform industry benchmarks by 60%
- Easy integration of new data sources and ML models
- Superimposes sentiment data on trading charts for enhanced analysis
