market data

The Zipline engine, integrated within TQuant Lab, offers a high-quality and realistic backtesting framework. It leverages four core functions—initialize、handle_data、analyze、run_algorithm——to construct a comprehensive simulation environment. These components enable trading strategies to dynamically adjust to market conditions, incorporating elements such as slippage and transaction costs to ensure that backtest results closely reflect real-world performance. This article begins with a brief overview of the four key components and their applications. It then focuses in detail on the initialize function, exploring its specific configurations and role within the backtesting process.

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.

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.

In Taiwan, where trades exceeding NT$15 million or 500 units are classified as block trades, they include both matched trades and continuous trading. TEJ offers detailed information on each block trade, such as transaction prices and share volumes, providing investors with a comprehensive view of these significant market activities. Block trade data provides insights into high-value transactions, revealing market liquidity, institutional behavior, and volatility impacts.

SBL information offers insights into securities borrowing activities, providing data on loan balances, fee rates, and volumes that reflect market demand and short-selling trends. Unlike margin trading data, which primarily captures retail investors leveraging funds, SBL data emphasizes institutional activities involving direct securities borrowing, offering a clearer view of their strategies and market impact.

SBL information offers insights into securities borrowing activities, providing data on loan balances, fee rates, and volumes that reflect market demand and short-selling trends. Unlike margin trading data, which primarily captures retail investors leveraging funds, SBL data emphasizes institutional activities involving direct securities borrowing, offering a clearer view of their strategies and market impact.

SBL information offers insights into securities borrowing activities, providing data on loan balances, fee rates, and volumes that reflect market demand and short-selling trends. Unlike margin trading data, which primarily captures retail investors leveraging funds, SBL data emphasizes institutional activities involving direct securities borrowing, offering a clearer view of their strategies and market impact.

Broker trading data captures stock transactions by brokerage firms, including volumes, net positions, and specific stock details. It also provides transaction data for each broker branch, reflecting the buying and selling concentration and trading strategies of specific brokers or branches.

The TEJ Database provides detailed daily stock prices and financial ratios, offering a robust foundation for analyzing stock performance and market trends. With coverage spanning all Taiwanese listed companies.

In Taiwan, institutional investors  (foreign capital, professional dealers, and mutual funds) account for about 40% of the overall Taiwan stock market, significantly influencing the financial markets through their large-scale trades.

What is market data? Learn about its definition, types, sources, and applications to leverage it for informed decision-making in trading and investment.

Have you ever heard friends excitedly discuss: "Today is perfect for day trading! Stock prices will have big intraday swings, hurry and jump in to make a profit!" Such enthusiasm might tempt you, but also leave you wondering: What exactly is day trading? Is it really that easy to make money, or is there hidden risk behind it? Don't worry, this article will unveil the mystery of day trading. TEJ will take you through the mechanisms and risks of day trading, and explain why this “buy and sell within a day” strategy attracts so many eager traders.