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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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Quant Research
“Block Trades” as Warning Signals? Analyzing Insider Transfers and Changes in Stock Prices Using TEJ API
By analyzing the motives behind insider block trades, we aim to explore the relationship between stock prices and insider transfers.
Quant Research
Stagnant Panel Price, AUO and Innolux Improve Product Portfolio to Navigate Challenges!
Amid the dim prospects of the panel industry and stagnant panel prices, how are Taiwan’s panel industry leaders, AUO and Innolux, navigating the challenges by enhancing their product portfolios?
Quant Research
Aroon Up Down Strategy
Oscillator Technical Indicator is a technical indicator used in the financial market analysis for assessing the over-bought/over-sold of a given asset in a given period. It can assist investors in identifying trends and potential trend reversals. Oscillator Technical Indicator processes and converts specific price indicators (e.g., opening, closing, highest, and lowest price) in a limited range. Some may include a negative range. Oscillator Technical Indicators are normally presented in a linear format. Today, we are going to introduce an Oscillator Technical Indicator — Aroon Up Down.
Quant Research
【Quant】PE ratio Analyzing
Using PE ratio to assess current stock price Keywords: PE ratio, EPS, visualization Highlights: Preface: The PE ratio is a typical indicator that evaluates the reasonability of the stock’s price. The formula is PE ratio = (Price Per Share) / (Earning Per Share). The higher PE ratio indicates the overestimated price of the stock, which […]
Quant Research
Comparison of the fund’s similarity
Investments always come with risks, and not all are inevitable. Through risk diversification, the distribution of different asset types could help investors efficiently manage risk and reduce the influence of market volatility on their portfolios. Today’s article will mainly discuss how to use data, comparing the similarity of funds from a scientific point of view.
Quant Research
Bollinger Bands Trading Strategy
Highlights Difficulties：★☆☆☆☆ Using the Moving Average and standard deviation to construct a Bollinger Band, determine when to buy and sell. Preface Bollinger Band is a technical indicator that John Bollinger invents in the 1980s. Bollinger Bands consist of the concepts of statistics and moving averages. The moving Average(MA) is the average closing price of […]
Quant Research
Price Deviation Ratio Trading Strategy
Create a price deviation ratio trading strategy using python and perform historical backtesting. Summary of Key Points in This Article Article Difficulty: ★☆☆☆☆ Calculate the N-day Price Deviation Ratio Indicator using unadjusted closing prices of individual stocks and use the N-day previous low and high prices as entry and exit signals. Reading Recommendation: This article […]
Quant Research
LSTM Trading Signal Detection
In the previous article, we used an LSTM model to predict stock price trends by using the past 10 days’ opening prices, highest prices, lowest prices, closing prices, and trading volumes to predict the closing price for the next day. However, we observed that the model’s performance was not very satisfactory when relying solely on yesterday’s stock price to predict tomorrow’s price. Therefore, we have decided to change our approach. This time, we aim to use the model to help us identify buy and sell points and formulate a trading strategy. We have also incorporated eight new feature indicators, with four being technical indicators and four being macroeconomic indicators, in the hope of improving our prediction results using these two facets of feature values.
Quant Research
Analysis of the chip concentration
Taiwan’s stock market is a shallow dish market. A shallow dish means it has no depth and is susceptible to external shocks. In contrast, the stock market is easily disturbed by external forces. It has significant ups and downs, such as being influenced by news or large purchases of a single stock by large investors, which can significantly affect stock price performance. This article uses several chip data to explore the impact on stock prices when chips are concentrated in stock and presents them in an interactive chart.
Quant Research
National Stabilization Fund Performances
An Introduction to National Stabilization Fund and its hot stocks’ performances Keyword：Quant analysis、National Stabilization Fund、Protection Performance Highlights Difficulty: ★☆☆☆☆ Preface In 2022, under the unstable background caused by the Ukrainian-Russian War and high inflation, rising prices suppressed consumers’ purchasing power, which made a great influence on companies’ profits. As a result of this, people were […]
Quant Research
Kenneth L. Fisher Growth Stocks Strategy
We use Python to backtest Kenneth L. Fisher’s growth stocks strategy on the Taiwan stock market. Keyword： Kenneth L. Fisher、Growth Stocks、Strategy Backtest What is Kenneth Fisher’s Growth Stocks Strategy? Kenneth L. Fisher, founder and president of Fisher Investments, and his father Philip A. Fisher, a representative of Qualitative Investment in the United States. Warren Buffett […]
Quant Research
Monthly sales growth rate application strategy
We use yoy and mom of monthly sales of Taiwan listed companies to establish strategies and observe the win rate and return. Keyword：Application、Monthly sales、Backtesting Highlights Difficulties: ★★☆☆☆We use yoy and mom as our buy&sell point for trading strategy.Advice: The backtesting framework in this paper can refer to 【Quant】 Market strength indicator trade. For readers who are […]