Stock Sentiment Trader

Stock Sentiment Trader (SST) is an AI and Blockchain powered Equity Research and Trading platform that empowers institutional firms by providing unique and real time Insights that Multiply Gains and Minimize Risk.

Stock Sentiment Trader

Stock Sentiment Trader (SST) is an AI and Blockchain powered Equity Research and Trading platform that empowers institutional firms by providing unique and real time Insights that Multiply Gains and Minimize Risk.

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Leveraging sentiment and search analytics at scale, improving compliance, and fostering collaboration both within and across financial institutions.
Enable enterprises and startups to cross the innovation chasm while reducing innovation leakage (Muda)!

Sentiment Analysis

A unique and multi asset sentiment analysis framework that will:

  • Plug and play across different information sources (news, social media, private data sources, google trends etc.). Research Analysts can refine this universe of information by creating a structured NLP Query
  • Sentiment indicators and alert signals across multiple financial asset classes
  • Render Trading signals through multiple channels including an API interface to enable further processing by our customers using quantitative models.
  • A Private blockchain architecture ensures collaboration within the trading desk, transparent calculation of commissions, and compliance with the firms trading objectives

Innovation Marketplace

We endeavor to positively change the current status that is summarized by the following statements from various sources:

  • According to HBS Professor Clayton Christensen 95% of all product innovations fail and according to the startup genome report 92% of all startups fail
  • According to the Mckinsey Global Innovation Survey, only 6% of executives are satisfied with their innovation performance
  • According to an Accenture Survey, 82% of organizations run innovation in exactly the same way as they would go about achieving an incremental performance gain
  • Venture Capital Firms have long taken a portfolio approach. They know that a vast majority of startups will fail, so they need to get outsized returns from the few that succeed!