Beginners Guide

Alternative data are powerful tools for financial decisions. Learn about the different types of alternative data and how they offer valuable insight.

Learn about the basics of long-short equity investing, from its core concepts and the common strategies, as well as the benefits and risks involved.

Odd lot trading is all about buying and selling smaller amounts of stock that don’t add up to a full trading unit (usually 1,000 shares). So, instead of needing a lot of money to buy a full unit at once, you can start with a smaller amount of shares. This is super handy for anyone with a limited budget who still wants to get into stock investing!

Alternative data refers to information from non-traditional sources. This article will explore its advantages and how it can optimize financial decisions.

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.

Data analytics in the stock market plays a vital role in understanding market dynamics, making informed decisions, and optimizing investment strategies. This process involves deep analysis of extensive datasets to extract market trends, actionable insights, and predictive indicators. It's the key to forecasting market movements, identifying investment opportunities, and managing risks with a data-driven approach.

By analyzing the stock price performance of the market and related industries during the past three Olympic Games, we can reveal the Olympic market trends of the stock market during the events.

By analyzing the motives behind insider block trades, we aim to explore the relationship between stock prices and insider transfers.

In the realm of financial analysis, understanding the sources of investment information is paramount. Discover where creditors and investors obtain crucial data to make informed decisions about a company. Explore the significant role of investment information sources in quantitative investment analysis, shaping the landscape of informed financial decisions.

The Average True Range (ATR) is designed to assess the extent of price fluctuations within a specific period. ATR is commonly utilized as a tool in technical analysis, assisting traders to determine entry points, exit points, and stop-loss levels for loss aversion purpose.

During the election period, the internet is full of election-related news; some even make relevant expectations on the stock market, affecting investor's sentiment. However, does the so-called "election market trend" really exist? In this article, we will conduct a quantitative analysis on Taiwan stock index in previous presidential elections using TEJ API.

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.