Hoe snel heb ik toegang tot mijn middelen?

Middelen die niet in een open positie staan, kunnen doorgaans binnen één werkdag worden opgenomen. Middelen in een actieve positie worden eerst afgebouwd volgens het risicoprotocol van het model, voordat uitbetaling plaatsvindt.

Hoe leert het model van veranderende marktcycli?

Het model herijkt zijn risicoparameters periodiek op basis van recente marktdata, zodat het onderscheid kan maken tussen tijdelijke schommelingen en structurele veranderingen in volatiliteit. Deze herijking wordt vastgelegd in het dagrapport.

Welke kosten zijn verbonden aan het gebruik van Vasterbaat?

De kostenstructuur bestaat uit een beheervergoeding en transactiekosten die direct voortvloeien uit de uitvoering van orders. Een volledig overzicht ontvangt u voorafgaand aan het openen van een rekening.

Vasterbaat data platform for AI-driven portfolio analysis

Intelligence beyond intuition

Vasterbaat manages crypto portfolios with models that continuously process market data and substantiate decisions with measurable risk estimates. Every trade and trade-off is reported daily, so you can track exactly how your exposure is achieved.

Discover the strategy

Sample daily report view

BTC/ETH exposure62%

Volatility scoreModerate

Active stop-loss levels4

Final rebalancingToday, 06:12

Illustrative representation of the type of data shown in the daily report.

Methodology

The logic behind the system

Vasterbaat's model goes through three consecutive phases before opening or adjusting a position. Each phase can be traced back in the daily report.

01 — Data ingestion

Real-time data analysis

The system processes order book data, on-chain activity, liquidity flows and macro indicators from multiple sources, together millions of data points per 24 hours, to identify anomalies and patterns at an early stage.

02 — Risk modeling

Predictive modeling

Based on historical volatility and scenario analysis, the model calculates the expected spread of outcomes per asset, thereby determining which entry and exit points optimize the risk-return ratio.

03 — Execution

Risk mitigation during implementation

Orders are executed in phases to limit market impact, with pre-set stop-loss levels that are automatically adjusted as market volatility changes.

Daily report – March 14 Live

09:03 — ETH rebalancing−2.1% exposure

11:47 — Stop-loss BTC adjustedVolatility ↑

15:22 — New position SOLRisk score: low

6:05 PM — No actionModel within margin

Transparency

Daily transparency, without hidden actions

In the dashboard you can see every trade, every rebalance and the underlying motivation of the model, on the day it takes place. Nothing is summarized or omitted afterwards.

Fully traceable trade record, including time and motivation
Daily performance overview per asset and per strategy
Insight into current risk parameters and stop-loss levels
Exportable reporting for your own administration

View a sample report

Risk management

Capital preservation as a starting point

The model is primarily built to limit losses, not to maximize returns. Growth comes from consistent risk management, not from taking on additional exposure.

Volatility protection

Positions are automatically unwound once measured volatility exceeds a preset level, regardless of the direction of market movement.

Algorithmic stop loss

Each position has a dynamic stop-loss level that is recalculated based on current market conditions, not a fixed percentage.

Asset diversification

Exposure is spread across multiple assets and time horizons, limiting the impact of a one-sided market move.

Vasterbaat analysts in monitoring model output and risk parameters

About Vasterbaat

Built for investors who prefer proof over promise

Vasterbaat was founded on the belief that automated portfolio management is only sustainable if it is fully imitable. The team combines quantitative analysis with strict reporting discipline, so that every decision made by the model can be verified afterwards.

We target investors who are accustomed to structured decision-making within traditional markets, and who expect the same level of justification when taking exposure to digital assets.

Applications

Different profiles, one underlying model

Vasterbaat's strategy can be adapted to various objectives without changing the underlying risk logic.

Existing exposure

Portfolio diversification

For investors with existing crypto positions who want to diversify their exposure across multiple assets and strategies, based on ongoing risk measurements.

Systematic structure

Long-term growth

For investors who want to build up capital in phases through periodic contributions, where the model optimizes the entry points within fixed risk limits.

Active management

Active rebalancing

For investors who want to benefit from shorter market cycles, where positions are frequently adjusted based on changing volatility.

Frequently asked questions

Before you continue

How quickly can I access my resources?

Funds that are not in an open position can usually be withdrawn within one business day. Funds in an active position are first reduced according to the model's risk protocol before payment is made.

How does the model learn from changing market cycles?

The model periodically recalibrates its risk parameters based on recent market data, so that it can distinguish between temporary fluctuations and structural changes in volatility. This recalibration is recorded in the daily report.

What costs are associated with using Vasterbaat?

The cost structure consists of a management fee and transaction costs that arise directly from the execution of orders. You will receive a complete overview prior to opening an account.