Merrivexa applies predictive modelling to actively managed crypto allocations while keeping capital accessible around the clock. Positions are reviewed continuously, and funds can be withdrawn without a notice period or lock-up window.
Allocation decisions are produced by models trained on historical and live market data, then constrained by explicit risk limits before execution. No single model output is applied without passing through these constraints.
On-chain data, exchange order books and macro indicators are collected on a rolling basis and normalised into a consistent format before analysis.
Multiple predictive signals are scored for reliability under current market conditions, and weighted accordingly rather than treated equally.
Position sizing accounts for volatility and correlation across assets, with maximum exposure thresholds applied per asset and per sector.
Allocations are not fixed for a holding period. Models reassess conditions at short, regular intervals and adjust positions incrementally.
Risk mitigation statement: No model eliminates volatility. Exposure limits, diversification rules and automated drawdown checks are designed to contain losses within defined boundaries, not to guarantee returns.
Traditional managed funds often impose notice periods or redemption windows that delay access to capital. Merrivexa maintains real-time liquidity by keeping assets in a continuously reconciled custody structure, rather than pooling capital into fixed-term vehicles.
The interface prioritises specific figures over decorative charts. Every allocation decision made by the model is traceable to a data point visible within the account view.
Position data refreshes as trades settle, rather than on a fixed daily schedule. Investors can review individual allocation changes alongside the signal that triggered them, rather than relying on a single aggregated return figure.
The process below is deliberately linear and auditable. Each stage produces a record that can be reviewed independently of the others.
Model outputs, position records and custody reconciliations are reviewed on a scheduled basis by an independent internal function. Findings that affect risk parameters are logged and applied before the next operating cycle, not retrospectively.
These answers address how the system behaves under stress, not only how it performs under favourable conditions.
Allocation is the output of weighted predictive signals, filtered through fixed risk limits on position size, asset concentration and volatility exposure. No allocation is made outside these limits, regardless of model confidence.
Automated drawdown checks can reduce exposure or pause new allocations when volatility exceeds predefined thresholds. This does not prevent losses, but it limits how far a single market event can affect the portfolio before a reassessment occurs.
Yes. There is no lock-up period and no minimum holding duration. Withdrawal requests are processed on the same basis regardless of current market conditions, subject to standard network settlement times.
No. Crypto assets are volatile, and algorithmic management reduces certain risks without eliminating the possibility of loss. Risk controls govern exposure; they do not constitute a guarantee of capital preservation.
Model behaviour and risk parameters are reviewed on a scheduled basis by an independent internal function, with findings used to adjust constraints where necessary.
Risk disclosure: Cryptoasset investments are not covered by the Financial Services Compensation Scheme. Their value can fall as well as rise, and you may not get back the amount you invest. Merrivexa provides access to an algorithmically managed portfolio structure; it does not provide personal financial advice. Please consider whether this type of exposure is suitable for your circumstances before proceeding.