Huremu Vexal combines backtested-validated strategies with data-driven decision-making to let project surpluses between mandates work for you in a structured manner rather than randomly.
Freelancers and solo entrepreneurs in Germany know the pattern: peak orders alternate with phases of lower capacity utilization. During this time, liquid project surpluses often lie in business accounts without interest, while at the same time reserves have to be built up for tax payments, investments or lack of orders.
Huremu Vexal translates these surpluses into a structured, AI-powered strategy. Instead of making decisions based on intuition, the system continuously evaluates market data and suggests allocations that fit risk profile and liquidity needs.
Illustrative representation: fluctuating project income (left) compared to a structured, continuous capital allocation (right). No real performance values.
Huremu Vexal was developed for people who want to invest their time in their core business and still make financial decisions on a reliable basis. The platform combines quantitative models with a clearly defined risk framework and makes the underlying logic understandable instead of presenting it as a black box.
Each recommendation is based on historically tested rules, not predictions of individual market events. This difference is crucial for users with limited time budgets.
The platform is divided into analysis, risk control and execution - each component is independently documented and verifiable.
Models evaluate market indicators, volatility patterns and historical price trends at fixed intervals and identify deviations from statistically expected trends.
Position sizes, diversification limits and maximum drawdown thresholds are defined in advance and are enforced independently of individual trading decisions.
Shared strategies are executed based on rules without users having to manually confirm individual transactions. Deviations are recorded and disclosed.
Each recommendation goes through a fixed, three-step process before it is displayed to the user.
Market, price and macro data are continuously brought together from multiple sources and checked for consistency before being incorporated into the modeling.
Each model is backtested against historical market cycles and additionally tested on data not used in training before it is released.
The system adapts the proposal to the risk profile, investment horizon and liquidity needs of the respective user before execution takes place.
Instead of field reports, Huremu Vexal discloses the parameters according to which models are tested and data is processed.
Illustrative comparison of a backtest curve (blue) and a reference value (gray). Values serve to illustrate the form of representation, not as specific performance information.
Each strategy operates within pre-determined limits for position size, diversification and maximum loss of value. These limits are enforced regardless of market conditions. There is no guarantee of specific returns; Capital markets remain subject to uncertainty and the framework aims to limit, not eliminate, this risk.
Data is processed on servers in Germany and used exclusively for analyzing and executing your strategy. It will not be passed on to third parties for marketing purposes. Access is limited to the respective user account.
The setup takes place in three steps: definition of the risk profile, connection of the relevant account and initial analysis of the available funds. The time required depends on the complexity of your individual initial situation and will be presented transparently before approval.
A structured, data-based strategy creates the basis for financial stability between orders - regardless of the current order situation. The first step is a non-binding analysis of your risk profile.