Investment Activity Broadcast Stream

The Signal Broadcaster is an info stream designed to visualize AI-generated signals. In this context, a signal is an information carrier that is characterized by various properties and, depending on how the downstream process flows are linked, can represent an element of a trading strategy. The algorithm works autonomously on the basis of a price data feed that takes into account both price and volume information. The system trains itself. A higher-level master algo evaluates the quality of the signals and is intended to optimize the forecasting capability and the hit rate.

The information accessible here does not constitute investment recommendations or invitations to buy or sell specific financial instruments. The trading parameters presented are solely for transparency reasons to enable the traceability of the algorithms. Number, holding period and risk management are limited by static specifications. Within predefined ranges the BOT acts independently. There is no manual intervention.

The stream is updated at short intervals. Provided no information is displayed, the algo pauses. Signals are displayed in the order in which they are generated AI-side. Trigger events that trigger signals are marked with nicknames. This is for quick attribution and distinguishability.

The algo is self-learning. The master takes the role of an additional filter, which should reduce, at best eliminate, the signal accompanying noise or false positives.

The signal broadcaster is an experimental lab feature that is at an early stage of development. Product development is focused on continuous optimization. This includes expanding the range of functions and improving the information content, ease of use and usability. We are happy to incorporate your feedback into further development. If you have ideas and suggestions for improvement, please use this form here to get in touch with us.

Registered users have access to extended histories and can display the respective open/& close transactions or performance of the realized P&L if they are interested.

On 30.05.2024, ESMA published a publication in which the supervisory authority addresses the topic of artificial intelligence. You can access the publication here, and we have compiled a summary in German for you here. We also draw your attention to general recommendations for action in relation to the deployment and use of artificial intelligence.