Schild Vaultaris converts large amounts of market data into a strategic advantage for the prudent investor. Our models are continuously validated against historical market cycles, so decisions are based on data rather than market sentiment.
Discover the strategyAt the core of Schild Vaultaris are predictive models that recognize market patterns before they fully unfold. Each strategy is first subjected to extensive backtesting on several years of historical data to determine how it would have behaved under varying market conditions.
Only after this historical validation is a model used for active portfolio management. The algorithm continuously monitors positions and recalibrates risk exposure based on volatility, liquidity and correlations between assets — not emotion or market noise.
Past results are no guarantee for the future. However, they do show the consistency of the underlying data models, measured over longer periods and various market conditions.
Backtest period per strategy model, tested against historical market data
Continuous monitoring of market movements and risk indicators
Every adjustment can be traced back to a measurable data signal
Disclaimer: Historical returns and backtest results are not a guarantee of future performance. Crypto markets have their own risk profile and value fluctuations can be significant.
Three pillars form the basis of the service: personal coordination, active risk management and permanent market analysis.
Your risk profile and investment horizon are the starting point. The recommended allocation is tailored to this, rather than a standard strategy for all investors.
The algorithm identifies increased market tension and adjusts positioning to limit exposure to sudden price fluctuations.
The models continuously analyze large amounts of market data, even outside regular trading hours, so that relevant developments do not go unnoticed.
From initial introduction to continuous optimization: every step is transparent and clearly explained.
We map out your current situation, objectives and risk appetite. This data forms the basis for the initial data analysis of appropriate strategies.
Based on the analysis, we put together a strategy that matches your risk profile, with clear frameworks for allocation and maximum exposure.
The AI algorithm continues to monitor the portfolio and makes adjustments based on current market data, within the pre-agreed risk limits.
A number of questions that cautious investors often ask before getting acquainted with Schild Vaultaris.
Positions are held through regulated infrastructure and risk management aims to limit exposure to extreme market movements. We share the risk frameworks used in advance, so that you know within which limits the algorithm operates.
The liquidity of a position depends on the underlying market and the chosen instrument. For most strategies, entry and exit is possible within the foreseeable future; We will discuss the exact terms during the introduction.
The algorithm responds to predefined data signals, such as volatility levels and liquidity shifts. These signals are based on historical validation, ensuring decisions remain consistent even when the market is under pressure.