Marmer Borgschap tests investment strategies against decades of market data. In this way, risk becomes visible before it occurs, and returns remain substantiated rather than assumed.
View the resultsThe model goes through three fixed steps. Every step is reproducible and controllable, without black boxes.
The system collects market data, macroeconomic indicators and historical price series from public and licensed sources on a daily basis. Millions of data points are merged into one consistent data set.
Algorithms search this dataset for recurring patterns in volatility, correlation and liquidity. Deviations from historical standards are immediately flagged for further review.
Based on recognized patterns, the model calculates scenarios for the coming period. Each scenario is given a risk rating, not a price prediction.
The model does not predict prices. It recognizes patterns that have historically been associated with stability and adjusts positions accordingly. The outcome is a risk assessment, not a promise.
Marmer Borgschap is designed for investors who value security over short-term returns. The platform combines data aggregation, statistical analysis and scenario calculation in one continuous process.
Each recommendation can be traced back to underlying data. Nothing is presented without substantiation, and no scenario is presented as a certainty.
Strategies are tested against the market, not against an assumption. Below is an illustrative representation of the structure that follows from that assessment.
Indicative representation of return accrual during backtesting. No prediction of future results.
The strategy is designed for consistency across multiple market cycles, not outliers in one period.
Positions are reduced as soon as volatility deviates from the historical pattern underlying the strategy.
Each adjustment to the model is first back-tested on previous market data, before being applied to current positions.
The system is built to limit loss, not maximize opportunity.
Positions are continuously monitored. Deviations from the expected risk profile are immediately identified.
Positions are automatically reduced as volatility increases. No manual delay, no emotion in the decision.
Growth is secondary to conservation. The model chooses the most stable route, even if that means a lower return.
Positions are held in liquid instruments. Withdrawal of capital takes place via the regular settlement period of the linked account, usually a few working days.
The model is periodically recalibrated based on new market data. Each recalibration is first tested back on historical periods before being applied to current strategies.
Data storage and processing take place within encrypted environments with separate access levels. Access to analysis models is limited to authorized systems.
The risk model responds to deviations in volatility, not to price movements alone. Positions are adjusted based on predetermined threshold values.
No. Backtesting shows historical consistency, not a guarantee. Each scenario is presented with the associated uncertainty.
An initial conversation provides insight into your current risk profile and the results of relevant backtests.