Skip to content
About
News
Solution&DataSets
Fundamental Data
Company Attribute
Director Holding
Shares Structure
Long-term Investment
Financial Data
Monthly Sales
Forward-looking Statement
Financial Statements
Event-Driven Data
Dividend Policy
Shareholders' Meeting
Corporate Actions
Treasury Stock
Market Data
Stock Price
Institution Buy and Sell
Brokers' Trading
Margin Trade
Quantitative Finance Solution
Credit Risk Solution
ESG Sustainability Solution
Valuation Analytics Solution
Product Introduction
Insights
Supports
Service Provide Method
FAQ
Learning Video
Alternative Data Survey
繁體中文
English
Contact Us
Home
>
Insight
>
Page 4
Insights
Provide the latest financial news to help you easily stay informed.
All Categories
All Categories
Data Analysis
Fintech練功坊
Market Research
TQuant Lab
03
/
20
2025
DeepSeek Launches Low-Cost AI — A Game-Changer for the Industry?
Since the launch of ChatGPT, the world has begun to witness the transformative power of AI. While much of the spotlight remains on ChatGPT, a Chinese AI model has quietly emerged on the global stage—DeepSeek. It boasts a training cost of just 1/20 of OpenAI’s and 1/10 of Meta’s. Recently, DeepSeek has even received recognition from tech giants including Apple’s Tim Cook, NVIDIA’s Jensen Huang, Microsoft’s Satya Nadella, Amazon’s Andy Jassy, Alphabet’s Sundar Pichai, and Meta’s Mark Zuckerberg. This article will explore the impact of "DeepSeek" on Taiwan's electronics industry.
03
/
10
2025
How Dividend Policy Affects Investment: An Event Study Analysis of Key Factors
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.
03
/
07
2025
Enhancing Investment Performance of the Ichimoku Cloud with the XGBoost Machine Learning Algorithm
Traditional Ichimoku strategies rely on fixed parameters (9-26-52) and visual interpretation, making them inflexible in adapting to different market conditions. XGBoost learns complex high-dimensional relationships between different data points and enhances the filtering and decision-making process of trading signals. This article use XGBoost to enhance investment performance of Ichimoku Cloud.
02
/
21
2025
Michael Sivy’s 4 Key Income Investing Principles Unveiled
In the world of investing, accurate predictions and systematic analysis are key to achieving long-term success. Strategists who can decipher market trends become sought-after figures for investors eager to learn. Michael Sivy is undoubtedly one of the best. With precise market forecasts and unique investment insights, he has built a stellar reputation in the U.S. investment community. From warning of the 1987 stock market crash to predicting a market turnaround in 1995 and foreseeing the bursting of the tech bubble in 1999, Sivy has demonstrated exceptional market foresight through decades of research and hands-on experience. His book, The Rule of 72, has become a must-read classic, offering systematic analysis and clear guidelines for investors of all types.
02
/
18
2025
Alternative Data Integration: Step-by-Step Guide for Investors
Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.
02
/
18
2025
Investing with Labor Market Alternative Data: Insights & Tips
Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.
02
/
17
2025
Alternative Data in Hedge Funds: Strategies & Success Story
Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.
02
/
17
2025
How to Collect Quantitative Data: Common Methods
Quantitative data collection methods include surveys, interviews, observations, and dataset reviews. Explore the techniques, pros, and cons of each method.
02
/
07
2025
Analyzing Factor Performance with Alphalens: Price and Volume Factors
In investment decision-making, price-volume factors are essential for investors to gain insights into market behavior. The relationship between price and trading volume supply and demand dynamics of an asset also reveals capital flows and shifts in market sentiment. These factors play a crucial role in capturing short-term opportunities and identifying potential risks in asset allocation.
<
1
2
3
4
5
6
…
28
>
Processing...