FinFAST | Oxbridge Economics

Financial Information Analysis, Search, and Transformation

AI-Powered Economic and Policy Analyst

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Pain Points addressed by FinFAST

1
Time-consuming to search, digest, and analyze information.
2
Limited & unreliable data sources.
3
Industry practice and technology frontier disconnected.
4
Advanced analytical methods and tools underutilized.

Major Functions & Services

Domain-Specific Vertical Search

Comprehensive databases
Long-text search query capability
Citation map for tracking sources

Market Sentiment Tracking Dashboard

Automated entity recognition
Sentiment analysis
Risk warnings at macro and micro levels

Value-added Services

Includes all features of FinFAST
Development and enhancement of new and specialized features
Assurance of data security through local deployment

AI-Powered
Financial Analysis

FinFAST offers intelligent solutions for inquiry and analysis, and empower users to navigate finance confidently and effortlessly

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FinBot

Intelligent Financial Chatbot

Specializations in economics, finance, and policy
Accurate answers without hallucinations
Capabilities for suggestions and teaching

FinAnalyticsComing Soon

One-click analytical tool

AI-powered conversation-based data analysis, modeling, visualization, and prediction
100+ analytical methods and models
No requirement for coding skills

Underlying Technology

Search-by-Example
- A disruptive approach compared to Search-by-keyword (i.e., traditional search engines) invented by our partners.
- Three features: Topic Similarity, Text Similarity, CrowdRank.
Fine-tuned Large Language Models (LLM)
- Utilize LLM to foster efficient text summarization and interactive functionality.
Machine Learning (ML)
- Use various ML algorithms for entity recognition, sentiment analysis, index construction, and financial forecast.
Econometrical Modeling
- Leverage panel data and time series analysis models to examine correlation and casualties and make predictions.

AI-Powered Economic and Policy Analyst.

Launched as a sub-product of FinFAST, utilizing a subset of the FinFAST database
Focuses on the Chinese macroeconomy
Includes all features of FinFAST

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Related Papers & Patents

“Searching Electronic Documents Based on Example-based Search Query”.

Patent No. US11,386,164B2:

Inventors: Ruiyun Xu, Hailiang Chen, J. Leon Zhao

Year Granted: 2022

“System and Method for Conducting a Textual Data Search”.

Patent No. US10,747,759B2:

Inventors: Ruiyun Xu, Hailiang Chen, J. Leon Zhao

Year Granted: 2020

Xu, R., Chen, H., & Zhao, J. L. (2017). A Fast and Comprehensive Literature Search Tool for Information Systems Researchers. In 38th International Conference on Information Systems (ICIS 2017): Transforming Society with Digital Innovation (Vol. 6, pp. 4210-4217). Association for Information Systems.

Xu, R., Chen, H., & Zhao, J. L. (2016). Topic associations in document models for ad hoc information retrieval. In Proceeding of the 20th Pacific Asia Conference on Information Systems (PACIS 2016) Pacific Asia Conference on Information Systems.