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Financial Information Analysis, Search, and Transformation

An Integrated Intelligent Platform for Financial Information Retrieval and Analysis

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Pain Points addressed by FinFAST

  1. 1
    Financial market research, monitoring, and analysis have not yet been fully automated, nor have they completely leveraged the potential of IT and data science.
  2. 2
    Both institutions and individuals tend to depend significantly on non-intelligent information retrieval and subjective text analysis.
  3. 3
    These prevailing practices are time-consuming, inefficient, expensive, and error-prone.

Major Functions & Services

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POWERFUL SEARCH
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    Faster
    Save time for complicated tasks.
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    Reliable
    Track and verify sources. Tailor-made for the financial industry.
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    Flexible
    Allow various forms of input.
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AUTOMATED ANALYSIS
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    Entity recognition, real-time sentiment analysis.
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    Topical analysis, source tracking.
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    Text summarization, translation.
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    Visualization of everything important via dynamic dashboard.
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    More to come...
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VALUE-ADDED SERVICES
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    Build customized databases and functions.
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    Deliver detailed and comprehensive market research on targeted topics of interest.

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.

FinFAST
Bringing Frontier Technology
to the Everyday Lives of Professionals and Individuals.

Related Papers & Patents

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“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

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“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

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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.
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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.
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Awards & Recognition

X-Pitch Global Top 100

Nov 2023

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BOCHK Challenge 2023 Silver Award of Innovative Design & Greatest Tech Solution Award

Jul 2023

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Alibaba Jumpstarter 2023 Top-100

Jun 2023

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2022 Qianhai-Guangdong-Hong Kong-Macao-Taiwan Youth Innovation and Entrepreneurship Competition (Hong Kong) Semi-Finalist

Nov 2023

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HK Tech 300 Seed Fund - 7th Cohort

Dec 2022 - Dec 2023

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HKAI Lab Accelerator Program - 8th Cohort

Dec 2022 – Dec 2023

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Cyberport Incubation Program

Feb 2022 - Feb 2024

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