Accurate AI decisions for your portfolio
Use the computing power of top AI strategies. Fully automated, data-based and optimized for passive growth.
Use the computing power of top AI strategies. Fully automated, data-based and optimized for passive growth.
Markets move in milliseconds. While others are still collecting data, our AI has already recognized patterns. We close the gap between complex data floods and profitable decisions.
Human analysis is tied to attention, fatigue and emotion. Algorithmic processing does not recognize these limits and evaluates new data as it arises.
Relative response time when processing new market data, schematic representation.
Xetoont Bqrtont combines data validation, statistical models and automated execution in one platform. Users track which strategy is currently active, which key figures it is based on and how positions develop over time.
The goal is a comprehensible, technically justified basis for decision-making - not a black box that only outputs results.
Each component covers part of the decision-making process, from data collection to ongoing risk control.
Predictive analytics models continually evaluate incoming market data and update forecasts as new information becomes available.
Position sizes and stop criteria are automatically adjusted to the current volatility to limit individual swings.
The underlying infrastructure handles a growing number of instruments without degrading responsiveness.
Users automatically adopt the positions of tested top strategies and can see at any time which data basis a decision was made.
From the raw data stream to the executed position, every decision goes through four clearly defined stages.
Price, volume and news data from global financial flows are continuously brought together.
Neural networks separate relevant patterns from noise and weight signals based on historical reliability.
Strategies with proven stable performance are executed and transferred to linked accounts via copy trading.
The portfolio is continually reassessed so that weights are adjusted to changing market conditions.
Two examples show how automated analysis works in the everyday life of a part-time investor.
The platform continually checks how strongly individual positions in the portfolio correlate with one another. Strategies with similar risk behavior are identified and reduced accordingly so that a market event does not move several positions in the same direction at the same time.
If the volatility of a market increases significantly, the system reduces the affected position or temporarily withdraws from it. The rule applies regardless of whether the user is currently on the screen or not.
Depot and usage data is transmitted encrypted and used exclusively for the functions that are necessary for analysis and execution. It will not be passed on to third parties for advertising purposes.
Statistical forecast models and neural networks are used, which are trained on historical and current market data and regularly checked based on new data.
The connection takes place via a secure interface to the respective broker. Users set limit values for position size and risk in advance, within which the automated execution works.