Findbillion's Founding Purpose

Ordinary investors also hope to access analytical information from professional research teams. Therefore, Findbillion's initial purpose was to provide a website that analyzes Taiwan and US stocks using artificial intelligence and data science methods. This allows general investors to use these advanced analytical techniques to increase their chances of investment profitability.


Findbillion.com was established in 2012 and was one of the few platforms at the time that used data science and financial AI to analyze Taiwan and US stocks. In 2017, at the Taiwan AI Conference held at Academia Sinica, we shared our experience of participating in Kaggle competitions and publicly demonstrated our performance and analysis methods at National Kaohsiung University of Science and Technology. Additionally, Findbillion has shared related technologies at various institutions including Taiwan AI Academy, University of Kaohsiung, National Cheng Kung University, National Taiwan University of Science and Technology, COSCUP, Ming Chuan University, and MasterTalks. In 2021, Findbillion officially began providing services to the public, dedicated to researching and developing AI and fintech-related technologies.

Founder's Investment Performance Using Findbillion

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Development History

2012/07
Established FindBillion.com, providing desktop version for Taiwan stock value analysis, one of the few platforms at that time analyzing Taiwan stocks using data science and financial AI methods.
2017/11
Founder shared Kaggle competition experience at the Taiwan AI Conference held at Academia Sinica. News reports covered the investment story.
Related news reports
2017/12
Publicly demonstrated performance and analysis methods at National Kaohsiung University of Science and Technology.
2018/05
Shared how to use AI for value investment analysis at various institutions including Taiwan AI Academy, National Cheng Kung University, COSCUP, Ming Chuan University, and MasterTalk.
2021/04
Launched online version for Taiwan stock analysis, focusing on using data science and AI to analyze leading indicators affecting stock price movements. Selected stocks suitable for revenue, P/E ratio, and cash dividend yield valuation. Test results showed over 13% higher returns compared to random stock selection.
2022/07
Effectively grasped leading indicators of economic cycles, managing risks of high raw material prices, severe inflation, and high inventory. Successfully hedged through financial futures, avoiding the major decline in the first half of 2022.
[November 25, 2021 Live Stream] Data Science Identifies Key Factors Affecting Stock Prices - Leading Indicators and Economic Cycles
2022/12
As predicted in the late 2021 live stream, due to high raw material prices, severe inflation, and high inventory situations, coupled with the impacts of the Russia-Ukraine war, rapid interest rate hikes, and mainland China lockdowns, Taiwan stocks fell about 20% for the year. After July, market panic led to improved leading indicators. With the National Security Fund's multiple market entries at low levels, 2022 remained a profitable year despite turbulent conditions.
[2022 Investment Review] 2023 Investment Direction and Strategy – Using Data Science and Financial AI Leading Indicators to Analyze 2023 Trends
2023/06
Taiwan's economic signal light continued to show blue. Grasping the data science and AI analysis of stock market leading indicators for economic reversal, realized a 124% profit in the first half of 2023, with 8 dividend stocks exceeding 130% returns.
[2023 Second Half Investment Outlook] Review of 124% Realized Returns in First Half of 2023 and Outlook for Second Half
2023/12
In 2023, many friends, relatives, and members achieved good investment results through FindBillion. Investors who correctly grasped macroeconomic and industry cycles had a bountiful year in 2023. Thanks to many loyal members over the years, mostly office workers, who together avoided the decline in the first half of 2022 and captured the rise in 2023.
[2024 First Half Investment Outlook] Reviewing the Profitable 2023 and Looking Ahead to 2024

Financial Technology Related Patents

We have currently obtained three patents:

  • Invention Patent for 《Investment Portfolio Analysis Method and System》: Using artificial intelligence to analyze key factors affecting investment portfolios, such as the common stock-bond allocation failing during inflation periods.

  • Utility Model Patent for 《Stock Price Factor Analysis System》: Using artificial intelligence to analyze key factors affecting macroeconomics, industries, or individual stocks, such as the poorer future returns of Taiwan stocks when copper prices are at their peak.

  • Utility Model Patent for 《Investment Information Provision System》: Using large language models to integrate investment information from different time points, such as integrating the latest revenue reports, financial statements, legal explanations, and news, combining quantitative and qualitative analysis.
  • Obtaining Financial Technology Patents

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