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 Strategy – Integrating Broker Consensus to Enhance Foreign Concentration Strategies – QFII Part 2
Boost your quantitative strategy with QFII concentration & broker consensus! Discover how the conc_qfii fusion strategy delivers a 30.12% annualized return in the Taiwan large-cap market.
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.
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Industry Insights
CTBC (2891. TW) & CDF Holding (2883. TW): The Gu Brothers Expanding Respective Business!
After the separation in 2002, the CTBC Group reached another moment of division. In this separation, LianSong Gu’s three sons lead the CTBC, KGI, and Chailease groups, respectively…
Quant Data Science
When TEJ API Database Meets Up STREAMLIT Grid Trading App
In previous tutorials, we learned how to create our own STREAMLIT App. For more details, you can refer to this article. In this article, we will use the TEJ API database to connect with the STREAMLIT package and implement a grid trading strategy. We will use tools such as date selection, dropdown menus, and numerical selectors to interact with charts and tables, making the data an interactive app. Grid trading is a trading strategy that selects a range by setting two parameters, the upper bound and the lower bound. We divide the stock price into grid intervals, buying stocks when the price falls and touches the lower grid, and selling stocks when the price rises and exceeds the upper grid. This strategy is a lazy strategy that doesn’t require much manual operation. It can also profit from price fluctuations. However, there are a few points to note which is the efficiency of capital utilization will be lower than manual trading.
Industry Insights
Taiwan Cement (1101.TW): Embark on the Journey of Taiwan’s Cement Empire!
How did LuKang’s Gu family, particularly Taiwan Cement Group, fare after embarking on the path of separation?
Quant Data Science
TQuant Lab Momentum Trade
In recent years, momentum trading has become a frequent topic of discussion in stock market strategies. In the stock market, we often hear discussions about the price-volume relationship, where price is considered a leading indicator of volume, among other concepts. This article aims to explore the back-testing effects of increasing trading volume as an entry strategy.
Industry Insights
2023 Taiwan’s Top 100 Group Corporations Performance
According to TEJ Group Observer data, in 2022, Taiwan’s technology group corporations continued to grow, while traditional industries ones declined the most.
Quant Data Science
TQuant Lab Price Deviation Ratio Trading Strategy
The Price Deviation Ratio is a common technical indicator that compares the current stock price to the N-day moving average price, reflecting whether the current price is relatively high or low compared to its historical values. Generally, when the stock price consistently exceeds the moving average price, it’s called a ‘positive deviation.’ Conversely, it’s called’ negative deviation’ when it consistently falls below the moving average price.’ Therefore, when positive or negative deviation expands, it is interpreted as a sustained overbought or oversold condition in the market, serving as a basis for entry and exit decisions. However, using only the Price Deviation Ratio can generate too many trading signals. Hence, we include the highest and lowest prices over the past N days as a second filter. The actual strategy is as follows:
Industry Insights
NVIDIA Sparks AI Revolution, Do AI Server Supply Chain Keep Up?
As people increasingly embraces AI, NVIDIA’s AI server shipments have soared! However, are Taiwanese manufacturers in the AI server supply chain also witnessing a boost in revenue and profits?
Quant Data Science
TQuant Lab Bollinger Bands Trading Strategy
The Bollinger Bands is a technical indicator invented by John Bollinger in the 1980s. It combines the concepts of moving averages and statistical standard deviation to construct a trading strategy based on statistical analysis. This article will demonstrate how to deploy this strategy on the TQuant Lab back testing platform.
Industry Insights
Hota (1536.TW): Transferring Power and Driving Force Across Subsidiaries
As a leading manufacturer of automotive gears in Taiwan, how did Hota Group expand its business footprint and lead group members to become a world-class factory?
Quant Data Science
TQuant Lab MACD Trading Strategy
MACD, which stands for Moving Average Convergence Divergence, is a commonly used tool in technical analysis for measuring the trend changes and momentum of an asset.
Market Knowledge & Data Guides
Chung Fu’s Delisting Crisis II: Skyrocketing Asset Values and Escalating Ownership Dispute!
Chung Fu has recently been embroiled in multiple governance issues. What secrets lie behind these incidents?
Quant Data Science
TQuant Lab Rookie Manual
TQuant Lab offers a robust quantitative back-testing system with high precision performance and risk calculations, top-quality data sources, and a highly realistic simulated trading environment. It aids users in swiftly deploying a wide range of trading strategies. Feel free to click into the article to learn more information.