FinSoftAi - Social Sentiment Insights (SSi)
SSi is an AI and Blockchain powered Equity Research and Trading platform designed for institutional firms. It provides real-time social sentiment insights to help users multiply gains and minimize risk through data-driven investment decisions.
Overview
SSi combines big data, machine learning, and blockchain technology to monitor and analyze sentiment from multiple social media and news sources. It enables investment researchers, traders, and portfolio managers to identify opportunities, manage risk, and optimize portfolios using sentiment-based signals and analytics.
How It Works
- Collects data from diverse sources (social media, news, etc.).
- Applies ML/GenAI and NLP to extract sentiment, trends, and actionable signals.
- Presents sentiment analytics in dashboards (e.g., FAANG Sentiment Dashboard) and integrates signals into trading workflows via APIs.
- Uses a private blockchain architecture to ensure transparent calculations and governed collaboration within trading desks.
- Back-tested results indicate outsized gains (up to 40x over index in some scenarios).
Use Cases
- Investment Research: Build portfolios aligned with sentiment signals and rebalance based on sentiment dynamics.
- Trading: Use sentiment as a leading indicator alongside price-based technicals to enhance return potential.
- ESG and Impact Investing: Leverage sentiment scores to augment ESG analysis where standards are evolving.
- Risk Management: Monitor social buzz and sentiment volatility to manage exposure to high-risk, high-buzz stocks.
Product Suite and Features
- Independent incremental products or an integrated platform solution.
- FAANG Sentiment Dashboard with sentiment analysis, buzz trends, alerts, and Word Clouds.
- GenAI-powered research and sentiment analysis across multiple asset classes.
- Multi-source sentiment framework that integrates news, social media, private data sources, and trends (e.g., Google Trends).
- API access for programmatic consumption and integration with quantitative models.
- Private blockchain for governance, transparent commissions calculation, and compliance.
Key Differentiators
- Patent-pending technology powering real-time social sentiment analytics.
- ML models that outperform benchmarks and easily adapt to new data sources and models.
- Sentiment overlay on trading charts for intuitive decision-making.
- Highly configurable architecture supporting multiple use cases and correlation analyses.
- End-to-end platform covering Investment Research, Trading, ESG, and Risk management.
Features
- Real-time social sentiment analytics across multiple sources
- AI/GenAI-driven insights for stock-level sentiment with leading indicators
- FAANG Sentiment Dashboard with alerts, trends, and word clouds
- Multi-asset sentiment analysis framework with NLP signals
- Private blockchain-based collaboration and governance
- API integrations for quantitative workflows
- ESG and impact sentiment scoring integration
- Cloud and on-premise deployment options (SaaS / white-labeling potential)