Dunelshove monitors market data continuously and applies a predictive stop-loss layer to your portfolio, built to reduce capital drawdown during sudden volatility, without requiring you to watch the markets yourself.
Example only, not historical performance. Shows how exposure may reduce as volatility rises, then stabilise.
Most first-time investors are not worried about long-term growth. They are worried about the moment a correction appears on screen and they have to decide, quickly, whether to sell. That decision, made under stress, is often where avoidable losses happen.
Dunelshove's approach is "Protection First". Rather than trying to predict market direction, our stop-loss layer applies fixed, rule-based thresholds that adjust with volatility conditions, so a defensive action can be taken automatically, consistently, and without emotion.
Simplified comparison for illustration. Actual outcomes depend on market conditions, portfolio composition, and the thresholds configured for each account.
The platform does not rely on a single signal. Predictive analytics, a dynamic stop-loss mechanism, and real-time processing operate as one pipeline, re-evaluating your risk profile with every meaningful change in market data.
Statistical models assess price movement, trading volume, and volatility indices to estimate the near-term probability of an accelerating drawdown, rather than reacting only after a loss has occurred.
Stop levels are not fixed percentages. They tighten automatically when volatility rises and relax when conditions calm, aiming for volatility dampening without exiting positions unnecessarily during normal fluctuation.
Market data is processed around the clock. Every decision is logged against the rules that triggered it, giving you a record of algorithmic oversight you can review at any time.
We avoid describing this as a "black box". Each stage below is a defined, auditable step, so you can understand why a position was adjusted, not just that it was.
Pricing, trading volume, and relevant macro indicators are pulled in at short, regular intervals from market data feeds, forming the raw input for every subsequent calculation.
Current conditions are compared against historical volatility regimes. The model estimates how closely present behaviour resembles periods that preceded sharp capital drawdown.
When a defined threshold is crossed, the stop-loss rule executes a partial reduction in exposure. The action, its trigger, and the time it occurred are recorded in your account log.
When volatility spikes sharply, the dynamic stop level tightens in response. Exposure is reduced in stages rather than all at once, which is intended to limit how much of a fast drop compounds into your portfolio before the market stabilises.
Deciding when to re-enter a position is often as stressful as deciding when to exit. Once conditions normalise against pre-set criteria, exposure is reinstated gradually according to fixed rules, removing the guesswork around timing.
We report performance alongside the drawdown it was exposed to, not in isolation. The aim is steady participation in long-term market growth with a narrower range of outcomes, rather than competing for the fastest possible gain.
Grey bars represent reduced exposure during stress; teal bars represent gradual reinstatement. Example only.
Account access is protected with encrypted authentication, and portfolio data is encrypted both in transit and at rest. Algorithmic oversight operates within fixed rule boundaries that you can configure and review, rather than making unconstrained decisions on your behalf.
Dunelshove connects to supported brokerage accounts through standard read and trade-permission interfaces, so your assets remain held with your existing custodian. The platform issues instructions based on your configured stop-loss rules; it does not take custody of your funds.
Stop-loss actions are executed as standard market or limit orders through your connected brokerage, subject to the same liquidity conditions as any manual trade. Holdings in less liquid instruments may experience wider price movement between the trigger and execution of an order, which is disclosed in your account settings.
Setting up a dashboard view takes a few minutes. You can review proposed stop-loss thresholds before connecting any account or depositing funds.