Dagrulven combines automated dollar-cost averaging with algorithmic entry signals to systematically address market volatility and reduce emotional bad decisions.
Crypto markets move more strongly in short time frames than most traditional asset classes. This creates a structural problem for investors: decisions are often made under time pressure and under the influence of short-term price movements.
Dagrulven combines rules-based dollar-cost averaging with a forecast model that prioritizes market entries within specified time windows. The logic remains comprehensible and can be viewed at any time.
Fixed interval investments reduce the dependence on the time of entry and smooth the average acquisition costs over time.
Within defined DCA windows, the model identifies statistically more favorable points in time without deviating from the overarching investment plan.
Position sizes are adjusted to current market volatility in order to limit concentration risks in individual market phases.
The setup process is deliberately kept lean. Every step is documented and can be traced at any time.
Connection to the existing trading infrastructure via read-only or limited API access. No passing on of access data to third parties.
The system evaluates historical and current market data and calibrates the DCA parameters to the stored risk profile.
Ongoing adjustment of entry signals based on current market conditions, with full logging of all decisions.
Dagrulven's models make no assumptions about future price levels. They evaluate relative probabilities within a defined investment horizon and derive weighting decisions that always remain within predetermined risk bands.
Every allocation decision is documented and can be subsequently traced based on the underlying market data. This means the strategy remains testable, even if market conditions change.
The connection is made via API keys with limited permissions. Access to payout functions is not technically provided; control of the funds remains entirely with you.
Within a fixed DCA interval, the model evaluates short-term volatility and liquidity metrics to prioritize execution timing within the window. The total investment amount and the interval itself remain unaffected.
All applicable fees will be disclosed prior to activating a strategy. There are no performance-related additional costs that were not communicated in advance.
Data processing takes place on an infrastructure located in Switzerland, in compliance with the applicable data protection regulations.
The platform is designed for structured, recurring investment amounts and is aimed at investors and asset managers who prefer predictable, rule-based allocation to selective trading.
Start a non-binding analysis of your current investment approach or arrange a conversation with our team to discuss the integration in detail.