Equity Clock

Arithmetic Average Seasonal Chart

Geometric Average Seasonal Chart

GDC Relative to the S&P 500

GDC Relative to the Sector

% of Revenue Generated in Each Quarter

% of Free Cash Flow Generated in Each Quarter

% of Net Income Generated in Each Quarter

Seasonal Chart Analysis

Analysis of the GD Culture Group Limited (NASD:GDC) seasonal charts above shows that a Buy Date of December 29 and a Sell Date of March 22 has resulted in a geometric average return of 9.54% above the benchmark rate of the S&P 500 Total Return Index over the past 8 years. This seasonal timeframe has shown positive results compared to the benchmark in 6 of those periods. This is a good rate of success and the return strongly outperforms the relative buy-and-hold performance of the stock over the past 8 years by an average of 59.55% per year.

The seasonal timeframe is Inline with the period of seasonal strength for the Industrials sector, which runs from October 29 to May 10. The seasonal chart for the broad sector is available via the following link: Industrials Sector Seasonal Chart.

A word of caution: Only 8 years of data is available for shares of GDC, perhaps insufficient to create a seasonal profile that accurately gauges the seasonal tendencies influencing the investment. Ideally, while 20 years is preferred, at least 10 years of data is required to perform a seasonal analysis that is considered to be reliable for future seasonal periods.

GD Culture Group Ltd focuses its business on three segments mainly through the Company and two subsidiaries. 1) AI-driven digital human creation and customization; 2) Live streaming and e-commerce and 3) Live streaming interactive game. The company has relentlessly been focusing on serving its customers and creating value for them through the continual innovation and optimization of its products and services. For the AI-driven digital human creation and customization sector, the Company uses AI algorithms and software to generate realistic 3D or 2D digital human models. AI algorithms and machine learning models are used to simulate human characteristics, such as facial expressions, body movements, and even speech patterns.

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Stocks mentioned in this post: GDC