Insights
In-depth research and data-driven insights on quantitative finance, factor investing, risk, and ESG from the TEJ research team.
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Fundamental Factor Research: Monthly Revenue Information – part1
The Taiwan equity market possesses a rare institutional advantage globally: under the Securities and Exchange Act, listed companies are required to announce and report their operational results for the preceding month by the 10th of each month (Exception: starting from FY2026, insurance companies and entities with insurance subsidiaries may extend their disclosure deadline to the 15th of each month). This is commonly referred to in the market as "Monthly Revenue".
Factor Research – Tracking Smart Money Footprints via Foreign Institutional Concentration – QFII Part 1
Track QFII ‘smart money’ footprints in Taiwan large-cap stocks! Learn how the Foreign-Institutional Trading Concentration (conc_qfii) factor predicts returns.
Empirical Research on Behavioral Factors in the Taiwan Stock Market: A Case Study of the Share Distribution
In an AI-driven Taiwan stock market, mastering chip distribution (ownership structure) is the key to profitability. This study delves into the Share Distribution data from the TDCC, transforming 15 tiers of shareholding data into behavioral finance factors such as investor attention, opinion dispersion, and retail speculation. By utilizing Fama–MacBeth two-stage regression and the alphalens-tej quantitative tool, we precisely validate the predictive power of psychological biases on stock returns, providing investors with actionable Alpha strategies and robust risk management solutions.
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Quant Data Science
Django and TEJ API (Part 1)
Use Python Django to create a website Highlights Preface Django is a Python-based application framework of web. Since it has advantages such as fixed framework and abundant libraries, users can develop a website in a more straightforward and efficient way. In this series, we’ll cover the topics including the setting of Django, framework introduction, connection […]
Quant Data Science
Build Your Own Company Dashboard
Use radar chart to present company’s performance Highlights Preface Dashboard is a simple page that coveys valuable information with proper visualization and informative chart. The users can quickly identify a certain trend or make some inferences. Therefore, a well-designed dashboard not only requires simple and clean user interface, but also has to reveal the most […]
Quant Data Science
KD Indicator
KD indicator is one of the commonly-used indicators in technical analysis. It’s mainly used for judging the current strength of stock price or possible timing of reversing. Following is the way to calculate this indicator
Quant Data Science
XGBoost Algorithm Predicts Returns (Part 1)
Use algorithm to learn the investment factors and predict returns. Highlights Preface Recently, a lot of algorithms have emerged, and various mathematical models have been developed to solve problems. The classic model is “regression”. With the advancement of technology, algorithms now been developed which can improve and learn by themselves (Machine Learning). Nowaday has developed […]
Quant Data Science
The Difference between REST API and TEJ API
All roads lead to Rome Highlights Preface TEJ offers different ways to access to TEJ database through programming languages, such as Python-based REST API and TEJ API, R-based R API or NET-based .Net API. Even though the mechanisms behind these are a bit different, the logic of getting data and the way to set input parameter share many similarities, which enable […]
Quant Data Science
Efficient Frontier
Use trial database to determine the weight of your portfolio. Highlights Preface Most people often have hard time to determine the weight of portfolio. However, Harry Markowitz, the Nobel Prize winner in economics, gives us a theory based on the volatility and correlation of stocks. Simulated by different weights on portfolio, we can put the […]
Quant Data Science
Obtain Financial Data
Demonstrate how to get data from TEJ API financial database Preface Financial data is the information firms disclose each season, or financial indicators based on that information. Common financial data mainly comes from balance sheets, income statements or cash flow statements. Besides, TEJ API financial database also includes more comprehensive information such as financial ratios, related […]
Quant Data Science
Modular Backtesting System
Use TEJ API to construct our own backtest system. Preface Trade Backtest is a more scientific approach to test strategy nowadays. Although the past cannot represent the future. The result of backtest can provide us some information about the strategy. However, if we have to run different strategy, we need to build a new system. […]
Quant Data Science
Starting Using TEJ Trial Database
The application and usage of TEJ API trial database Preface With the increase of the calculation power of chips, Big Data has become more and more important, especially in the field of the financial markets. How to analyze a specific industry or company precisely? It always comes bias if we analyze by our intuition. Therefore, […]
Quant Data Science
When TEJ API meets Line Notify
Sending the important data information to your phone through Line Notify After building our own database through TEJ API and understanding how to use Window Task Scheduler to update the database regularly a few weeks ago. Today we are going to teach you how to make it more convenient. That is through the Line Notify to automatically […]
Quant Data Science
TEJ Rest API Document
Using the document to have a deep understanding of TEJ Rest API. Preface TEJ has official packages which are specialized for R, Python users to make data collection more convenient. (Python API document) TEJ also cares about the programmers of other language users(C, C#, Java), so we have developed Rest API to extract data from […]
Quant Data Science
TEJ API Document
Using the document to have a deeper understanding of TEJ API. After previous financial data applications we have introduced to you, we have received some messages about how to use the API properly. Therefore, to make users use our TEJ API more comfortably, we will spend one to two weeks to make a clear description of […]