Predictive analysis
Forecast models continuously evaluate historical and current market data to identify risk patterns before they result in actual losses.
Data intelligence for asset protection
Norkenwald combines predictive analysis models with an automated stop-loss system. This reacts to market fluctuations before losses endanger the assets a family has built up over the years.
Start analysisMarket volatility
Classic buy-and-hold strategies assume that markets will recover in the long term. However, this poses a real problem for family assets that have been built up over decades: a break-in at the wrong time, for example shortly before a planned withdrawal, can put years of building work into perspective.
Added to this is the emotional risk. In phases of high market volatility, many investors make decisions under pressure and sell in losing phases instead of reacting in a structured manner. Norkenwald replaces this response with predefined, data-driven logic.
The platform
Forecast models continuously evaluate historical and current market data to identify risk patterns before they result in actual losses.
The stop-loss system calculates individual drawdown thresholds for each asset class and portfolio structure and implements protective measures without manual intervention.
Data pipelines continually update risk assessments so protections reflect current market conditions rather than based on outdated averages.
The Norkenwald logic
Market data, portfolio structures and historical volatility patterns form the foundation of every analysis. Without reliable data, there is no reliable decision.
Each asset is weighted within the overall structure. This makes concentration risks and dependencies between asset classes visible.
The risk assessment results in concrete hedging measures: adjusted thresholds, rebalancing suggestions and documented justifications.
For families with a long-term horizon
Many families manage assets not as a single portfolio, but as the sum of multiple accounts, goals and time horizons. Norkenwald scales the analysis accordingly: from individual investments to family-wide asset overviews.
The goal is calm, which comes from comprehensibility, not from chance. Every hedging decision is based on documented data that remains understandable for future generations.
Questions & Answers
Norkenwald processes portfolio data in accordance with the requirements of the GDPR. The analysis is carried out on a non-custodial basis: Norkenwald never manages or stores assets itself, but only evaluates data that is read-accessed.
The models work rule-based and comprehensible. Thresholds for the stop loss system are derived and documented from historical and current market data; it is not an opaque black box logic.
The connection takes place via reading interfaces to the respective depository institutions. Since Norkenwald does not assume a custody function, the existing custody structure remains unchanged.
Responsibility for a family wealth means making decisions based on data rather than chance. Request an initial analysis to see how Norkenwald values your portfolio.
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