Worthmintery analytical dashboard visual representing AI-driven portfolio data
AI-Managed Crypto Portfolios

Precision in Volatility

Worthmintery combines backtested market data with AI-managed crypto portfolio construction, giving cautious investors a disciplined, volatility-adjusted approach rather than a speculative one.

Live model output tracks drawdown, volatility bands, and signal confidence across rolling 30-day windows, rendered as layered time-series charts rather than a single price line.

How the model separates signal from noise

Crypto markets generate a high volume of short-term price movement that carries little predictive value. Worthmintery's process is built to filter that noise before capital allocation decisions are made.

01 — Data Ingestion

High-frequency data ingestion

Order book depth, on-chain flows, and historical price series are ingested continuously, rather than sampled at fixed intervals, so short-lived structural shifts are not missed.

02 — Predictive Modelling

Predictive modelling against historical regimes

Models are trained and validated against distinct historical market regimes, including prolonged drawdowns, to assess how a strategy would have behaved before it is deployed.

03 — Risk Mitigation

Algorithmic risk-weighting

Position sizing is adjusted according to realised volatility and correlation across holdings, reducing concentration in any single asset during periods of elevated risk.

Backtested results, reported with context

The figures below describe how the current strategy configuration performed against historical data. They are not a projection of future returns and are presented alongside the methodology used to produce them.

Illustrative equity curve, backtested strategy vs. volatility-adjusted benchmark, rebased to 100.
1.4
Backtested Sharpe ratio
-18.6%
Maximum drawdown (backtested)
30d
Rolling rebalancing window
4yr
Historical data range tested

All figures are derived from backtested simulation across multiple market cycles and are denominated for reference in euro terms. Backtested performance does not guarantee future results, and Irish investors should treat these metrics as illustrative of methodology rather than a forecast.

Tools that keep the investor in control

The investor sets the operating boundaries. The AI optimises within them, rather than making unconstrained decisions on the investor's behalf.

Feature

Real-time analysis

Continuous evaluation of market conditions against the model's trained parameters, updated as new data arrives rather than on a fixed daily schedule.

Outcome: earlier identification of regime shifts, before they are reflected in lagging indicators.
Feature

Automated rebalancing

Portfolio weights are adjusted automatically when allocations drift beyond thresholds set by the investor, removing manual timing decisions from routine maintenance.

Outcome: allocations remain aligned with the original risk profile without constant manual oversight.
Feature

Custom risk parameters

Investors define maximum exposure per asset, acceptable drawdown limits, and rebalancing frequency before any automated activity begins.

Outcome: the strategy operates within explicit, investor-defined bounds at all times.

Security and custody, explained plainly

Worthmintery infrastructure and security operations illustrating institutional-grade safeguards
  • Institutional-grade security

    Infrastructure is segmented and access-controlled in line with practices used by regulated financial platforms, with encryption applied to data at rest and in transit.

  • Non-custodial integration

    Worthmintery connects to exchange accounts via permissioned API access and does not take custody of client funds at any stage of the strategy execution process.

  • Data privacy

    Account and strategy data is retained only for the purpose of service delivery and is not shared with third parties for marketing purposes.

  • Infrastructure

    Systems run across redundant, geographically separated environments to reduce the risk of a single point of failure affecting strategy execution.

Bring a more disciplined structure to your crypto allocation

Request access to review methodology detail, backtested data, and current risk parameters before committing any capital.

Cryptoasset investments are not regulated in the same manner as traditional financial instruments in Ireland and carry a significant risk of loss, including total loss of capital. Backtested performance is illustrative only and is not indicative of future results. This material does not constitute investment advice.