Data Analysis

How to Gain Insight into Stock Price Movements from Quarterly Reports? This article will use quarterly reports stock selection to filter the top 20% of listed companies in Taiwan by quarterly revenue and implement long positions. Through this revenue-based backtesting approach, we can identify potential strong stocks in the market and verify the effectiveness of this quarterly stock selection strategy with accurate data. It is simple and provides investors with a stable and systematic basis for stock picking, uncovering the hidden signals behind stock price movements.

This guide will introduce the types of data analysis used in quantitative research, then discuss relevant examples and applications in the finance industry.

This article uses the LSTM time series model for deep learning-based LSTM stock price prediction, utilizing the opening, high, low, and closing prices of the past five days, quarterly ROE, MOM (indicating the magnitude of price trend changes, and the direction of market trends), and RSI indicators to predict the next day's closing price.

In recent years, as the stock prices of popular AI companies continue to reach new highs, investors are increasingly focused not only on these companies' operational status but also on the trading behavior of their insiders. Company insiders have more information compared to external investors, giving them an informational advantage when trading the company's stock.

During Jensen Huang's speech at National Taiwan University, he revealed a list of NVIDIA's business partners in Taiwan, which led to the viral spread of the term "the world's strongest AI ETF". What impact did this announcement have on the stocks of these business partners? We will use TEJAPI to calculate the Sharpe ratio to determine whether the effect was positive or negative. Additionally, we will visualize the observed results.

For students who want to use TQuant Lab, in addition to the original GitHub installation tutorial, we now offer a faster and simpler way to use it directly on Google Colab. The tutorial on running TQuant Lab in Google Colab eliminates the need to set up a virtual environment, significantly lowering the barrier to entry.

This article will utilize the Stock Exchange's provided 7 financial information indicators and explore their correlation with stock price counter-indicators using the TEJ API.

As the name suggests, high dividends refer to companies distributing higher profits to investors in the form of cash dividends. There is no specific definition of how much dividend constitutes a high dividend. This article will utilize TQuant Lab to conduct a backtesting performance analysis of buying and holding High Dividend ETF.

The insider transfer strategy was constructed by adding the RSI indicator to the timing of insider transfers, aiming to explore whether following insiders into the market in a constantly rising stock market has good timing capabilities. The performance of insider transfer strategy is also backtested in this article.