backtesting

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.

The SuperTrend Indicator is a technical analysis tool used to identify trends in financial markets. It assists investors in determining relative high and low points during market swings, helping them make buy and sell decisions. However, one drawback of the SuperTrend Indicator is its tendency to be less effective during consolidation phases. To address this, we will use the Average Directional Index (ADX) to optimize the SuperTrend strategy in this article.

When market efficiency is low or inefficient, stock prices tend to overreact or underreact to new information. This phenomenon allows investors to achieve significant positive average returns by buying stocks that have performed well in the past or short-selling stocks that have performed poorly (Jegadeesh and Titman, 1993). From a behavioral finance perspective, George and Hwang (2004) pointed out that traders might be reluctant to buy even if there is favorable news when stock prices approach a new high within the past year. This reluctance leads to stock prices reaching new highs driven by positive news, indicating that even professional investors might underreact to new information. Zhang (2006) found from an information asymmetry perspective that in markets with a higher degree of information asymmetry, future returns of stocks following bad or good news tend to be lower or higher, respectively. Momentum strategies perform better in stocks with higher levels of information asymmetry. This study attempts to use the daily reports of brokers branches trading provided by the Taiwan Stock Exchange to derive relevant indicators from an information asymmetry perspective, combining these with momentum factors to identify stocks that have yet to catch the market's attention but are gradually rising in price. The study will conduct overlapping period tests, IC/IR value tests, and factor portfolio backtesting on this composite factor.

In recent times, there has been a global surge in AI, with Taiwan's electronics industry attracting a lot of interest from institutional investors due to its comprehensive supply chain. In addition to trading stocks through conventional methods on stock exchange markets, investors can also utilize block trading offered by exchanges for transactions exceeding a fixed amount.

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.

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 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.

Quantitative Investing requires historical data to perform backtesting, examining the feasibility of our investing strategy. Therefore, it is pivotal to ensure that the data used for analyzing always aligns with the information the investors have when making their decisions. For instance, in order to pursue correctness, accounting databases update new numbers when financial restatements occur. However, using the data after financial restatement for backtesting will prevent investors from accurately reconstructing the actual market conditions at that time, and will lead to information bias, reducing the credibility of the backtesting result.

Use common technical indicators to backtesting Highlights Preface Relative strength index (RSI) is the momentum technical indicator. It is usually used as an oscillator interval to evaluate overbought or oversold condition by measuring recent trend of price movements. Following is the way to calculate this indicator: Criterion of RSI: RSI’s Deactivation: Gain and loss is […]