
How do we make buying and selling decisions:
- Evaluate company and product features to find intrinsic value (aka fundamental analysis)
- Look for price fit, price movement, discounts, offers etc. (aka technical analysis)
- Search online for the right product – just Google it! (aka search analysis)
- 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
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!
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.
How do we get this huge and diverse content together in one place to search, analyze, and collaborate to discern insights in real time?
Stock 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
Solution Overview

User Roles
Query Marketplace

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.
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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
- Query elements can be configured (future offering for a configurable query)
- Commission rules can be configured
- Custom Audits can be configured and scheduled
Next Generation Solutions
