Developed by the Center for Business and Social Analytics (CBSA) at HKUST. Check us out!

Developed by the Center for Business and Social Analytics (CBSA) at HKUST. Check us out!

Developed by the Center for Business and Social Analytics (CBSA) at HKUST. Check us out!

AI-Driven Sentiment Analysis for Informed Investments

AI-Driven Sentiment Analysis

for Informed Investments

AI-Driven

Sentiment Analysis

for Informed Investments

Gain a competitive edge in the stock market with our suite of services. Our platform offers sentiment analysis, keyword extraction, and ESG classification from corporate filings and earnings calls of US and HK companies. Make smarter investment decisions and stay ahead of the curve with our powerful tools and insights.

Try for free

AI-Powered Insights

AI-Powered Insights

Key Features

Key Features

  • Daily analysis updates of corporate filings and earnings calls

  • Accurate sentiment and ESG scores backed by HKUST research

  • Top keywords extracted from filings and earnings calls

  • User-friendly dashboard with customizable watchlists

  • Compare companies and industries from the US and Hong Kong

  • Daily analysis updates of corporate filings and earnings calls

  • Accurate sentiment and ESG scores backed by HKUST research

  • Top keywords extracted from filings and earnings calls

  • User-friendly dashboard with customizable watchlists

  • Compare companies and industries from the US and Hong Kong

Explore our features

Why FinSent?

TSLA

Tesla Inc.

37.04%

12.52%

12.52%

Before:

Change:

Change:

13.4%

3.36%

3.36%

AAPL

Apple Inc.

32.41%

22.1%

22.1%

Before:

Change:

Change:

13.4%

Title

Earnings Call Report

Earnings Call Transcript

Earnings Call Transcript

Quarter

2023 Q3

Sentiment

23.4%

Change

10.0%

Daily Insights for Smart Decision-Making

  • Daily updates on the latest corporate filings and earnings calls

  • Daily updates on sentiment scores and ESG classifications

  • Continuous improvements on our language models from HKUST

Advanced Financial Sentiment Analysis

  • Make informed decisions in the stock market

  • Mitigate risks by swiftly identifying positive and negative sentences

  • Easily determine if a company discusses ESG-related topics in their report

93.4%

2.3%

4.3%

Non-ESG

Positive (200)

Negative (140)

Neutral (230)

Our quarterly results demonstrate our commitment to driving gr

We've made significant strides in our digital transformation effor

Despite facing challenging market conditions, we've managed to

86.7 %

94.4%

98.9%

Quarter

2023 Q3

Positive

10.4%

20.05%

20.05%

Sentiment

10.4%

12.52%

12.52%

Change

13.4%

3.36

3.36

Negative

-9.4%

-7.53%

-7.53%

Neutral

0.4%

72.42%

72.42%

Stay Ahead of Market Trends

  • Stay ahead of the market with exclusive access to unique information

  • Compare companies and industries of interest

  • Customize your watchlist to track your portfolio and monitor market indicators

Dashboard

Earning Call Report

2019 Q3

10.4%

10.0%

User-Friendly Dashboard

Experience clear visualizations and customizable features for seamless data analysis.

Empower yourself with advanced tools and take control of your investments through customizable portfolio watchlists.

Customizable Watchlist

Sentiment

+ 32%

Effortlessly browse sentiment, ESG, and keyword information and make well-informed decisions with confidence.

Powerful Data Analysis

Try FinSent

Stay Updated on

US & HK Companies

Stay Updated on US & HK Companies

Unlock insights from 20 years of data. Analyze thousands of reports from publicly listed companies in the US and Hong Kong. Discover trends and make informed decisions using our vast and trusted database of more than 22,000 companies and 230 million analyzed sentences.


* Please note that the current version of our service only supports select companies and their reports, rather than all 22,000 companies. We are actively working on expanding our service capabilities to include more companies in the future.

Unlock insights from 20 years of data. Analyze thousands of reports from publicly listed companies in the US and Hong Kong. Discover trends and make informed decisions using our vast and trusted database of more than 22,000 companies and 230 million analyzed sentences.


* Please note that the current version of our service only supports select companies and their reports, rather than all 22,000 companies. We are actively working on expanding our service capabilities to include more companies in the future.

Up to 3k

Up to 3k

reports processed

each month

reports processed

each month

Up to 22k

Up to 22k

total companies

in the database

total companies

in the database

Up to 230M

Up to 230M

sentences analyzed

sentences analyzed

years of data

years of data

Up to 20

Up to 20

This study compares different types of language models used in finance. We found that while some decoder-only models, like OpenAI's GPT, show good performance in most financial tasks without any specific training, they are generally outperformed by fine-tuned expert models like FinBERT. FinBERT is a financial domain-specific pre-trained language model, created at HKUST Business School.

This study compares different types of language models used in finance. We found that while some decoder-only models, like OpenAI's GPT, show good performance in most financial tasks without any specific training, they are generally outperformed by fine-tuned expert models like FinBERT. FinBERT is a financial domain-specific pre-trained language model, created at HKUST Business School.

Is it better than ChatGPT?

Is it better than

ChatGPT?

Up to 15.2%

better in performance

compared to GPT-4 in the financial domain

Up to 15.2%

better in performance compared to GPT-4 in the financial domain

Up to 15.2%

better in performance compared to GPT-4 in the financial domain

Up to 91%

accuracy on sentiment

analysis

Up to 91%

accuracy on sentiment analysis

Up to 91%

accuracy on sentiment analysis

Up to 96%

accuracy on ESG

classification capabilities

Up to 96%

accuracy on ESG classification capabilities

Up to 96%

accuracy on ESG classification capabilities

HKUST Business School

HKUST has rapidly risen in the global academic arena, ranked among the top-tier universities in Asia. These international recognitions are the result of a concerted effort on the part of all members of the University.

Center for Business and Social Analytics (CBSA)

Center for Business and

Social Analytics (CBSA)

The Center for Business and Social Analytics (CBSA) is set up with the mission to study timely business and social problems by utilizing the big data available on the Internet, led by a team of industry-leading scholars and researchers.

Cutting-Edge Research from

HKUST Business School

Cutting-Edge Research from

HKUST Business School

FinBERT, the powerful NLP language model fueling FinSent, is the result of a groundbreaking collaboration between the esteemed faculty at Hong Kong University of Science and Technology (HKUST) and the Center for Business and Social Analytics (CBSA).


Our cutting-edge technology leverages the expertise of faculties at HKUST Business School, solidifying our position as a world-class financial technology services provider. Experience the future of fintech with FinSent and unlock unparalleled insights for your investments.

Sign Up for Early Beta

Be one of the first to experience the power of FinSent. Sign up today and start navigating the markets with data-driven insights

Legal Disclaimer

Updated: 1 December 2023

  • The material contained in FinSent by CBSA is a compilation of corporate 10-K and 10-Q filings from the SEC and publicly available transcripts of earnings conference calls of public companies. The information provided to you is for reference purposes only and is not intended to be investment advice and should not be construed as investment advice. If investment advice or other professional assistance is required with respect to any issues referenced in the FinSent by CBSA Service, services of a competent investment professional should be immediately sought.

  • Discrepancies between the information presented in this application and other applications, analyses, studies, articles, and publications may exist due to the different methodologies of processing the material in accordance with different purposes.

  • FinSent by CBSA shall assume no liability for any errors, omissions, or inaccuracies in the information provided regardless of their cause. FinSent by CBSA shall assume no liability for any decisions made or actions taken or not taken by the user of this application in reliance upon any information furnished hereunder. Under no circumstances shall FinSent by CBSA be liable for any loss, damage, liability, or expense incurred or suffered that is claimed to have resulted from the use of this application, including, without limitation, any fault, error, omission, interruption, or delay with respect thereto. The use of this application indicates your unconditional acceptance of the above disclaimer.