Fondsdam combines AI-driven analytics with strict risk management to manage crypto portfolios based on facts, not emotion.
Discover the strategyHuman emotion leads to inconsistent decisions under pressure. The Fondsdam algorithm has no panic and no euphoria: it processes market data continuously and responds according to predefined rules.
Fondsdam's strategies are not designed on intuition, but tested against years of historical market data. This approach focuses on consistency and risk optimization, not on short-lived outliers.
Each strategy goes through a testing cycle on historical data sets before being deployed live. This looks at behavior during corrections, sideways markets and periods of strong growth.
Past results provide no guarantee for the future, but they do form the mathematical basis on which every adjustment is tested.
Three steps determine the entire process, from raw market data to a monitored position.
Price data, volumes and order book information are continuously collected from multiple liquid markets.
Predictive algorithms analyze patterns and weigh risk against expected returns.
Positions are automatically adjusted as market conditions or risk thresholds change.
For the prudent investor, protection against downside risk is at least as important as return. Automated filters intervene without emotion.
Positions are closed down as soon as volatility moves outside predetermined limits.
Capital is distributed across multiple assets to limit concentration risk.
Predefined exit rules limit losses in the event of unfavorable market developments.
Fondsdam is built for investors who prefer to rely on repeatable, tested processes rather than market sentiment. Each model is first extensively tested before it has any influence on an actual portfolio.
The emphasis is on measurable outcomes: how a strategy behaves in different market phases, and what risk is associated with it. That discipline forms the basis of every recommendation.
Answers to the questions that cautious investors most often ask us.
The models are trained and tested on multi-year historical data and periodically recalibrated. Reliability is expressed in consistency across different market phases, not in a single outcome.
Price, volume and order book data are obtained from multiple liquid crypto exchanges, supplemented with market-wide indicators that are relevant for risk assessment.
Past results provide no guarantee, but form the basis of our mathematical certainty. Each strategy is therefore continuously tested against new market data.
Predetermined thresholds for volatility and position size drive automatic adjustments. This process takes place without human intervention to prevent emotional adjustment.
For investors who prefer a methodical, data-driven approach to daily manual market monitoring, and who value sound risk management.
See how Fondsdam's strategies are structured and what role risk management plays in them.
Start now