Python

Joseph Piotroski's F-score strategy, based on evaluating 9 financial conditions, helps investors gain insights into a company's profitability, safety, and growth potential. This article uses TQuant Lab to construct the F-score strategy, helping investors gain deeper insights into the investment benefits that the F-score can offer.

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.

Over the past two decades, trend-following has been a successful trading strategy used by many fund managers, professional traders, and global macro hedge funds to profit in global futures markets. Recently, the application of trend following strategies to stocks has gained significant attention, with a surge in published research and articles. Increasingly, literature suggests that the trend effects observed in futures markets can similarly apply to stock markets.

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.

This time, the Williams %R strategy was used for backtesting. The Williams indicator is also called the Williams index, wmsr, or W%R. Its English name is The Williams Percent Range. It was created by the famous American trader Larry Williams in 1973. It is a standard indicator in technical analysis. One. The KD line and other indicators commonly used by investors to judge overbought or oversold are developed based on the William indicator.

The Ichimoku Kinko Hyo strategy employed in this simulation utilizes the concept of the three-line conversion in the Ichimoku Cloud chart for backtesting, coupled with trailing stop-loss testing for profitability. Under the pen name Ichimoku Sanjin (いちもくさんじん / Ichimoku Sanjin), Goichi Hosoda authored seven series of works detailing the philosophy behind this indicator and its trading system.

ESG is an important indicator for evaluating a company's sustainable development and is also one of the important issues that investors pay attention to. Environmental risks are an issue that the world must pay attention to. Both investors and social groups have begun to supervise companies' or governments' response measures to environmental risks. This article will buy-and-hold ESG ETF and backtest risk and performance.

The KD Indicator is a practical and widely used tool in technical analysis. It's primarily used to determine the short-term strength of stock prices and potential reversal timing.

This article selects disposal stocks as investment targets and uses TQuant Lab to conduct backtest performance analysis of buy, sell, and hold targets to confirm whether the investment strategy of popular stocks is a profitable and well-performing target.

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.

This momentum factor strategy utilizes the concept of momentum factor: "stocks with good past performance are likely to perform well in the future, and vice versa" to simulate backtesting and to verify the profitability of "the strong get stronger, and the weak get weaker" in the Taiwan stock market.

This article selects five critical stock selection criteria from Buffett’s Business Investment Rules. From utilizing TejToolAPI to fetch financial data and screen targets to using TQuant Lab to backtest investment risks and performance, we will explore Buffett’s investment style and appreciate the ability of Business Investment Rules to generate excess returns.