ARTIFICIAL
INTELLIGENCE!

Learn more here about the use of artificial intelligence!

TRANSPARENCY

We value transparency a lot! That's why we publish parts of our source code and thus create trust. You can find out more here!

The use of AI in our analyses!

As part of our analytical endeavors, we apply advanced Machine Learning methods to process historical financial data and create forecasts based on it. Our approach includes the development and continuous refinement of regression models, decision tree methods, ensemble methods such as Random Forests, as well as complex neural networks.

Each of these models is dynamically updated with new datasets to increase their predictive accuracy and ensure the models' adaptability. The iterative optimization of the models enables a successive refinement of our analytical instruments.

TRENDS

However, it must be emphasized that despite the advances in artificial intelligence and the application of sophisticated algorithms, no absolute guarantee can be given for the accuracy of the predictions. Artificial intelligence is unable to predict future events with absolute certainty. However, it does offer valuable insights into potential trend patterns and the generation of moving averages, which can serve as significant indicators of support and resistance in technical analysis.

In summary, our analytical practice is based on the use of state-of-the-art Machine Learning techniques, where we always strive to optimize their performance and generate relevant market insights, while always considering the inherent limitations of these technologies. As can be clearly seen, the trend channel in the image for Ethereum has been reached.

TECHNOLOGY

For the development and operation of our AI trading robots, we rely on the programming language Python and use specific libraries such as TA-LIB, Tensorflow, XGBoost, Pandas, NumPy, and Scikit-Learn. These tools were selected for their performance and adaptability and have proven their worth in practice. The AI applications are not limited to generating market forecasts but are also used to support trading algorithms and generate action recommendations.

Our experience shows that the targeted use of AI technologies improves the accuracy of analysis and thus creates added value for our trading strategies. We strive to fully exploit the potential of AI and thereby achieve a sustainable competitive advantage.

Artificial intelligence is the mirror that humanity has created not only to look into its own soul, but also beyond that into the immeasurable potential of the universe.

Erik Wimmer

How does AI protect Quantum?

Our digital platforms are protected by advanced AI-supported security systems that are aimed at the proactive detection and defense against a variety of cyber threats. The artificial intelligence is specially trained to identify malware and automated bot networks in order to immediately initiate appropriate defense measures. Furthermore, it is able to effectively detect and block brute-force attacks.

The integrated Web Application Firewall (WAF) forms an additional layer of protection against targeted attack attempts at the application level. Our Intrusion Detection System (IDS) is designed to monitor and analyze suspicious activities and anomalies in network traffic to identify security breaches early.

Customer Portal

For user authentication, we also use AI-based technologies. These check the login data for irregularities and confirm the integrity of email addresses by verifying their origin for seriousness. After a successful verification of the login information, the customer account is activated by the AI system and the user is granted access.

Through the continuous further development of our AI algorithms, we ensure that our security infrastructure reacts dynamically to new threat scenarios and guarantees reliable protection of our digital ecosystems.

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