Technologies

The Intelligence Engine for Capital Markets - Leveraging ML and AI to Detect Unforeseen Event Risk


Abstract/Technology Overview

Our company is a Capital Markets Intelligence Company, a unique combination of Capital Markets Experts, Leading Academics, and Pioneering Technologists. Synthesizing the latest state of truth around companies through the delivery of machine-generated; data, signals, and strategies. Used by large global institutions to capture asset investment performance and systematically manage Unforeseen Event Risk. Quantitative capabilities on par with highly sophisticated hedge funds and published R&D in AI, which ranked globally #1 in multiple tasks in English and Mandarin.


Technology Features, Specifications and Advantages

Our solution leverage Machine Reading, Machine Learning, Deep Learning, and AI to synthesize the latest state-of-truth surrounding the companies that we monitor. Our word libraries and event extraction engines have been rigorously assist-learned to ensure that our automated sense-making technology extracts information and events that are relevant in a Capital Market context. Our proprietary algorithms efficiently measure the information value of Financial media content. Existing methods in finance literature exploit sentiment signal features, which are limited by not considering factors such as events and context. We address this issue by leveraging deep neural models to extract rich semantic features from news text. In particular, a novel tree-structured LSTM is used to target-specific representations of news text given syntax structures. Empirical results show that neural models outperform sentiment-based models, demonstrating the effectiveness of NLP technology. We have published R&D in NLP and AI and are currently ranked globally #1 in multiple tasks in English and Mandarin.


Potential Applications

Risk Detection:

Our risk engine comprises (4) complimentary elements:

  1. Fundamental analytics – e.g. Growth, Profitability, Cashflow, Debt, Forensics
  2. Behavioural analytics – e.g. Mapping Asset Ownership, Sell-Side Analyst Leader tracking
  3. Market analytics – e.g. Collapse Pattern Recognition, Short Pressure Identification
  4. Event risk extraction – Scaled Machine-Reading and Sense-Making on the World-Wide-Web
  • Systematic Investment Strategies
  • Chinese Equity Investment
  • Portfolio Optimisation
  • Machine Reading Tailored to Capital Markets
  • Predictive Risk Analytics
  • Natural Language Understanding (English and Mandarin)


Customer Benefit

  • Risk Avoidance
  • Scalable
  • Cost-Effective
  • Enhance Human Decision-Making
  • Systematic
  • Sense-Making in English and Mandarin
  • Minimal Workflow Disruption
  • Auditable Signal Creation
  • Minimal IT Integration (Signal Delivery via Existing Social Media Platforms)
  • SaaS Model (no long-term lock-in contracts)

OVERVIEW
Contact Person

David Mcinotsh

Organisation

Blue Fire AI

Technology Category
  • Artificial Intelligence
  • Data Processing
  • Financial Technology
  • Natural Language Processing & Semantic Technology
  • Web Technology
Technology Status
  • Available for Licensing
Technology Readiness Level
  • TRL 9
Keywords

artificial intelligence, bluefireai, machine learning, unforeseen risk detection, risk signals, Access Ashare, automation, natural language understanding, mandarin NLP, capital market, intelligence engine