beralyxinvest combines historical backtests with ongoing market observation to place investment decisions on a comprehensible, quantitative basis - instead of on gut feeling.
Strategies are tested using multiple years of historical market data and continually validated using new data.
Price movements in digital assets are often overshadowed by short-term news noise. For investors who value capital preservation and traceability, it is difficult to distinguish which signals are structurally relevant and which are just noise.
beralyxinvest reduces this uncertainty by basing decisions not on individual opinions, but on systematically evaluated data patterns. Models are mirrored on historical market phases before being applied to current data.
Illustrative representation of typical market conditions - no live data or forecast values.
Each strategy goes through the same three-step process before being used in practice.
Each strategy is tested on multiple full market cycles, including periods of sharp declines. This makes it possible to assess how an approach would have performed under different conditions before capital is deployed.
The evaluation includes drawdown behavior, recovery time and consistency across different time windows.
Price data, liquidity indicators and market structure are continuously processed in order to identify deviations from established patterns at an early stage.
Position sizes and hedging rules are adjusted to the measured risk instead of being rigidly prescribed.
Technical note: Backtests are based on historical data and take into account transaction costs and slippage assumptions. They are not a guarantee of future results.
The path from market data to a concrete recommendation follows a fixed, verifiable process.
On-chain metrics, order book data and macroeconomic indicators are brought together from multiple sources and checked for consistency before being incorporated into modeling.
Statistical models identify recurring patterns in the relationship between market conditions and subsequent price movements and weight them according to their historical reliability.
Recommendations are translated into concrete, actionable steps, taking into account liquidity, costs and portfolio context.
The underlying analysis remains the same, the design differs depending on the scope and objectives.
For asset managers and family offices, beralyxinvest provides structured evaluations of the weighting of digital assets within a diversified portfolio, including correlation analyzes to classic asset classes.
Text-based and market-related signals are evaluated to detect shifts in sentiment, which often occur before major price movements without interpreting them as a firm prediction.
Existing positions are checked for concentration risks and correlation dependencies with the aim of limiting the potential for losses in strongly fluctuating market phases.
beralyxinvest was developed with the aim of making quantitative methods from institutional asset management accessible to a wider audience without sacrificing methodological rigor.
Each model version is documented and compared against previous versions. This keeps track of which adjustments led to which results, and gives investors insight into the logic behind each recommendation rather than just an end result.
Only market data, publicly available on-chain information and, with the user's express consent, portfolio-related key figures are processed. Personal identification data is stored separately from analysis processes.
Retention periods are based on the legal requirements for financial services in the EU and are disclosed in the contract documents.
A strategy is considered backtested when its rules have been applied to historical price data and the hypothetical results have been calculated taking costs and slippage into account. This shows how an approach would have performed in the past.
No. Historical results are an indicator of the robustness of a method, not a guarantee for the future. Markets change, which is why models are continually monitored and adjusted as necessary.
Each recommendation contains information on position size and risk framework, derived from the historical fluctuation range of the respective asset. Users continue to decide for themselves about the actual implementation.
Get access to an initial evaluation of your investment horizon as well as the historical key figures of the underlying strategies.
Start analysisDigital assets are subject to significant price fluctuations. Historical backtest results are not a reliable indicator of future performance. beralyxinvest does not offer individual investment advice within the meaning of the Securities Trading Act.