How do we make buying and selling decisions:

  1. Evaluate company and product features to find intrinsic value (aka fundamental analysis)
  2. Look for price fit, price movement, discounts, offers etc. (aka technical analysis)
  3. Search online for the right product – just Google it! (aka search analysis)
  4. Look for reviews, blogs, tweets, news items, research reports to read what experts and common people are saying about the product (aka sentiment analysis)

Objective


Social Sentiment Trader (SST): Artificial Intelligence (AI) & blockchain powered Equity Research & Trading platform that empowers institutional investors to gain real time and unique insights that multiply trading gains, manage risk and improve compliance.

The platform enables transparency and improved collaboration across Traders, Research Analysts, and Portfolio Managers while ensuring that trading actions & strategies stay aligned with the firm’s objectives. SST’s blockchain powered consortium fosters collaboration across like-minded firms using the SST product. Creating a win-win ecosystem!

SST leverages FinSoftAi’s unique patent pending technology.

Product Vision

For equity research and trading there is an explosion of content from a multitude of sources that needs to be searched and analysed in real time.

Fundamental and Technical analysis is formally defined with a large number of mathematical and statistical indicators. No formal and recognized definition of indicators for sentiment and search analysis.

Getting this huge and diverse content together in one place to search, analyze, and collaborate to discern insights in real time.

Social Sentiment Trader (SST) endeavors to solve the above problems!


Target Market

SST functions across the front, middle and back office departments. It enhances trading gains, manages portfolio risk, and improves compliance by ensuring that trades align with the firms objectives

The target market consists of both buy side & sell side firms including:

  • Hedge Funds
  • Asset Managers
  • Investment Banks
  • Boutique Research firms
  • Broker Dealers
  • Retail Brokers
  • Financial News Portals

Solution Overview

Product Suite

Market Sentiment Vs. Price – daily, weekly, fortnightly, monthly charts.

InstitutionalRetail

Try SST Beat

Standalone Research Terminal, Historical data only, NLP Query, Sentiment Vs. Price, and Sentiment Volume Vs. Trading Volume charts, Search Analytics

InstitutionalRetail

Real-time & historical data, API Interface, Trading signals, SST Research

InstitutionalRetail

  • Research, Trading Signals, API Interface, Real-time, and historical data
  • Research, Trader, Portfolio Manager, and Product Admin: Roles and Workflow
  • Performance Dashboards, Portfolio Sentiment heat map
  • Audit feature to confirm that trading actions are aligned with the firm’s objectives

The Desk Solution is available both as a centralized database version and a decentralized private permissioned blockchain version.

Institutional

Query Marketplace, fostering collaboration across like-minded research and trading firms

Customized views for the Query Marketplace –  depending on the trust level between the consortium participants.

Leverages private permissioned blockchain technology.

Institutional

User Roles

Query Marketplace

Stock, Sector and Market wise list of currently trending queries along with their rating and cost structure will be displayed by each publishing organization (trading firms that are members of the consortium).
Each consortium member will have a customized view based on the firms relationship with the publishing firm.
Firms can purchase queries visible to them. The publishing firm (seller organization) will receive a one-time NLP query fee and will also receive commissions every time the purchasing firm makes a successful trade using this NLP query.
Queries once purchased can be modified and resold to other firms in the consortium. Smart contracts will be executed to ensure that fees and commissions are received by all organizations that have created direct ancestor versions of this NLP query.

Modular & Configurable

  • SST is architected as a set of loosely coupled components. Customers can pick and choose what they want now. Buy what they need in the medium/long term later
  • Available with its own UI or headless. SST API’s enable integration with third party trading applications.
  • Can be configured to meet every users needs:
    • Various Data sources for qualitative and quantitative sentiment can be configured
    • Select news feeds can be configured
    • Choice of multiple sentiment engines – third party and custom FinSoftAI engine
    • Sentiment weights can be configured
    • Technical indicators can be selected/configured to the users liking
    • Heatmap can be configured based on different parameters
    • NLP Query elements can be configured (future offering for a configurable NLP query)
    • Commission rules can be configured
    • Custom Audits can be configured and scheduled

Next Generation Solutions

Inspirations

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