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AI in symbiosis with humans!

AI supports well-founded decision-making processes and minimises the risk of wrong decisions by providing sound, data-based insights.

Artificial Intelligence

AI can analyse huge amounts of data and recognise patterns that are difficult for human analysts to access, leading to more accurate market forecasts.

What AI can and cannot do!

AI is currently a crucial topic and is expected to remain so for the foreseeable future. Our work is heavily focused on applying AI in both data analysis and retail, giving us deep insight into its potential as well as its limitations.

Artificial Intelligence(AI) is not yet capable of precisely predicting tomorrow’s prices, let alone those of next week or the coming years. The markets are too complex and often too unpredictable for such exact forecasts. The computing power required is immense, and managing the necessary data remains challenging. However, AI can forecast potential price ranges with a high degree of probability by analyzing trend channels, trend strength, and moving averages. Drawing on past data, it can suggest the likely direction in which the market may technically evolve in the near term. Moreover, AI is constantly enhancing its capabilities. All of the AIs we use have been independently developed by our team.

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AI is forcing the continuous monitoring and analysis of market data in real time, which enables us to react more quickly to market changes.

Erik Wimmer

1

Trendchannel

Machine learning can be applied to predict trend channels, which indicate the price ranges where prices are likely to move in the near future. The AI analyzes all available data from recent years to calculate the expected range for the upcoming weeks. We regularly incorporate these models into our analyses, as they offer valuable insights for optimizing our trading robots moving forward.

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Trend Strength

Machine learning empowers artificial intelligence not only to generate trend channels but also to predict trend strength. It achieves this by analyzing the relationship between trading volumes and price movements. These trends are often cyclical and follow seasonal patterns. By identifying these cycles, the AI can project potential strength within the channels, aiding in the detection of possible trend reversals.

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Trendline

Trend lines are a crucial element in stock market trading. It is often said that prices eventually revert to their mean. By leveraging Artificial Intelligence (AI), we can generate forecasts that are cross-referenced with traditional moving averages, allowing us to more precisely identify bull and bear markets. This provides us with a significant advantage, as we can detect early shifts in market cycles.

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