DegisorETH processes large amounts of data from multiple exchanges in real time. Predictive AI models convert this data into concrete, actionable strategies - systematically and comprehensibly.
Modern markets generate more data points than a human can evaluate in real time. Price movements, order books, trading volumes – spread across multiple exchanges.
Manual methods reach their limits. Spreadsheets and individual observations capture market shifts too late. Decisions are then based on outdated information.
DegisorETH closes this gap through continuous, automated evaluation - without you having to monitor each exchange individually.
DegisorETH was developed for people who do not make investment decisions full-time but still want to proceed systematically. The platform takes over the ongoing monitoring, you retain the decision-making authority.
Instead of maintaining multiple tabs and tools in parallel, you get a consolidated view of your connected accounts - updated as soon as relevant data changes.
Fragmented data from multiple sources is brought together into a single, AI-powered risk view. You don't have to switch between platforms to stay on top of things.
Every position, every open order and every risk metric appears in one place with real-time transparency. This reduces the effort of manually comparing multiple accounts.
Three steps combine data collection with a comprehensible basis for decision-making.
Market and account data from connected exchanges are continuously recorded, normalized and converted into a uniform format.
Probabilistic models detect patterns in historical and current data. Pattern recognition identifies connections that would not be visible when viewed individually.
The model results produce a concrete, well-founded recommendation for action - including the underlying risk assessment.
The platform continually evaluates how positions are weighted across multiple exchanges and displays deviations from your defined target structure. Adjustment suggestions are based on current market data, not static rules.
Models estimate the likelihood of unfavorable market movements and highlight positions with increased risk. This allows decisions to be made before a trend has fully developed.
Anyone who manages several stock exchange accounts in parallel can apply and compare strategies uniformly. This simplifies scaling without losing control of individual positions.
DegisorETH deliberately avoids testimonials. Instead, we explain how the platform handles data and how the recommendations are made.
All processed data is subject to the requirements of the GDPR. Access data to stock exchange accounts is used exclusively for the defined reading and analysis functions.
DegisorETH's models generate recommendations based on market data, not partner interests. The platform is designed as an assistance system - the final decision is always made by the user.
The API connection takes place via standardized interfaces of the respective exchanges. New connections can be added without changing existing configurations.
Connect your stock exchange accounts with DegisorETH and receive a consolidated evaluation of your current positions. You get started via the existing interface, without additional tools.