Rübenquarz transfers the analytical models of major financial institutions to an accessible format. Self-employed and gig workers gain access to automated, risk-adjusted strategies without having to evaluate market data in real time themselves.
Choose your strategy nowLarge trading houses process millions of data points per second. Anyone who invests on a part-time basis has neither the time nor the infrastructure to keep up with this speed.
The volatility of the gig economy further exacerbates this problem: income from platform work fluctuates weekly, while traditional financial analyzes are designed for stable salary structures. Rübenquarz was developed to address exactly this gap.
Our systems continuously process market and sentiment data and translate it into understandable recommendations for action. This creates a balance between the computing power of institutional players and the capabilities of individual users.
Rübenquarz replaces speculation with a three-step process based on historical patterns and ongoing market data.
Market, news and sentiment data are continuously imported and structured to create an up-to-date situation picture.
Predictive analytics models evaluate scenarios and adapt position sizes to the selected risk profile.
Users automatically reflect the decisions of the selected AI model instead of planning individual trades independently.
Each model uses the same analysis infrastructure but differs in response speed and volatility tolerance.
Prioritizes low volatility. Positions are weighted conservatively and signals are only implemented when there is a high level of statistical certainty.
Combines short-term signals with medium-term trend indicators to balance fluctuations and profit opportunities.
Reacts more quickly to market movements and accepts larger fluctuations in favor of a higher reaction frequency.
Instead of field reports, we show what the models are actually based on.
Each model is tested against historical market phases, including volatile periods, before being released to users.
Price data and sentiment indicators are continually updated, so recommendations are based on the current market condition.
Data transmission is encrypted, server infrastructure is located within the EU and is subject to the applicable data protection regulations.
The models reduce decision-making errors, but not the fundamental market risk. Price losses are still possible, especially with more dynamic profiles. Rübenquarz is a tool for more informed decision making, not a guarantee of positive results.
Income initially remains in the respective strategy account and, depending on the model chosen, can be regularly transferred to a deposited account. Exact deadlines depend on the individual account profile.
The models combine historical price patterns with current market and sentiment data. Decisions are based on statistical probabilities, not on individual opinions or speculation.
Setup takes just a few minutes and can be managed independently of shift schedules or peak orders. You choose a model, Rübenquarz takes over the ongoing analysis.