IN FOCUS
OF TIME

Time series analyses are the systematic examination of time-ordered data in order to identify patterns, trends and seasonal effects and to predict future developments.
Analyses

TIMESERIES!

Time series analyses enable the development and application of quantitative models that support precise predictions and automated trading strategies.

Ahead of the times!

Cyclical seasonalities are important in order to obtain a uniform picture of current developments on the market for digital assets.

We analyse the seasonalities and divide them into the general trend, the weekly rhythm and the course of the year. This information is based on quantitative averages that summarise the most likely developments. Deviations can occur depending on the market environment and can also be viewed in reverse. Nevertheless, they provide valuable indications of how the average development in a technical environment may develop.

Regression Analyses
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We analyse seasonality based on quantitative averages to provide valuable indications of the most likely developments in the technical environment.

Erik Wimmer

1

Trend Channel

With its forecasting tool, the trend development provides valuable insights into potential market interest. This projection is based on comprehensive analyses of historical data and takes their average development into account. By applying proven statistical methods and state-of-the-art analysis tools, our approach enables a well-founded forecast that is as reliable as possible.

Analyses

 

1

Trend Channel

With its forecasting tool, the trend development provides valuable insights into potential market interest. This projection is based on comprehensive analyses of historical data and takes their average development into account. By applying proven statistical methods and state-of-the-art analysis tools, our approach enables a well-founded forecast that is as reliable as possible.

Analyses

 

2

Weekly

The weekly cycle illustrates the course of trading activity from Monday to Sunday and its impact on price trends. This chart can be used to identify both bullish and bearish trading days, which are characterised by rising or falling prices on average. The possibility of developing targeted trading strategies and better understanding market events by analysing this cycle is particularly noteworthy. This detailed analysis makes it possible to make well-founded decisions and thus to act successfully in the long term.

Analyses

3

Annual

On an annual basis, we analyze the average monthly movements from January to December along with their cyclical patterns. This helps us identify months characterized by strong sales as well as periods when the market tends to be weaker. These fluctuations stem from various factors and can be examined from multiple perspectives. Understanding the influence of seasonal effects and external factors is crucial. By strategically analyzing these cycles, we gain valuable insights to make well-informed decisions. This approach allows us to respond strategically to market dynamics, ensuring long-term success.

Analyses

 

3

Annual

On an annual basis, we analyze the average monthly movements from January to December along with their cyclical patterns. This helps us identify months characterized by strong sales as well as periods when the market tends to be weaker. These fluctuations stem from various factors and can be examined from multiple perspectives. Understanding the influence of seasonal effects and external factors is crucial. By strategically analyzing these cycles, we gain valuable insights to make well-informed decisions. This approach allows us to respond strategically to market dynamics, ensuring long-term success.

Analyses

 

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