AI-driven data intelligence for private investors
Entry analyses market, portfolio and risk data in real time to produce recommendations built for capital preservation rather than speculation. There is no minimum deposit, so the depth of analysis you receive does not depend on the size of your account.
How it works
Predictive modelling is the process of training statistical models on historical and live market data so that they can estimate, with a stated degree of confidence, how an asset or portfolio is likely to behave under different conditions. Entry's models are retrained continuously against incoming data, rather than relying on a single static forecast produced months earlier.
In practice, this means the platform is constantly re-weighing probabilities across thousands of data points — interest rate movements, volatility indices, sector correlations — and translating that into plain-language guidance on your specific holdings. The computation is the same class of analysis used by institutional asset managers; the difference is that Entry applies it without requiring institutional sums of capital to begin.
No minimum deposit — the same model runs for £50 or £50,000Methodology
Rather than reacting to a market event after it affects your balance, Entry's algorithm is designed to identify the conditions that typically precede volatility, and adjust exposure ahead of that movement. This is a process of continuous measurement, not a one-off risk questionnaire completed at sign-up.
Your holdings and stated capacity for loss are translated into quantifiable risk parameters the model can monitor against.
Each position is scored against current volatility and correlation data, updated as market conditions shift through the day.
When exposure drifts outside your defined tolerance, the system flags a rebalancing recommendation before, not after, drawdown occurs.
Adjustments are made after a loss has already appeared in the account, based on historical statements and manual review.
Adjustments are modelled against leading indicators, so recommendations can be issued ahead of a probable market shift.
Platform capabilities
Positions are checked against live market feeds throughout each trading session. Any deviation from your agreed risk parameters is logged and surfaced immediately, rather than discovered at a quarterly review.
When the model determines that an allocation has drifted from its target risk band, it generates a specific rebalancing recommendation, including the rationale and the data that triggered it.
The algorithm continuously tests correlation between your holdings, identifying concentration risk that is not always visible by looking at asset classes alone, and suggesting adjustments to reduce it.
Getting started
There is no minimum deposit requirement. You set the figure you are comfortable committing, and the platform operates on that basis from day one.
Portfolio and account data is integrated securely, so the model has an accurate, current picture rather than a self-reported estimate.
Within the initial review, Entry produces a baseline risk and diversification assessment specific to your existing holdings.
A first predictive recommendation is generated, with the underlying data and reasoning presented alongside it for your own review.
Questions answered
Account and portfolio data is encrypted both in transit and at rest. Access to the underlying models is restricted internally, and data is used solely to generate your own recommendations — it is not sold or shared with third parties for marketing purposes.
It means the analysis, monitoring and rebalancing logic available to you is identical regardless of your account size. There is no tiered access where smaller accounts receive a reduced version of the model.
Liquidity depends on the underlying assets held within your account rather than on Entry itself. The platform does not impose additional lock-in periods beyond those inherent to the instruments you hold.
Model outputs are reviewed on an ongoing basis against expected performance ranges. Any recommendation that falls outside normal parameters is flagged for review before it is presented to you, rather than being actioned automatically.
Trend-following reacts to price movement that has already happened. Predictive modelling uses a wider set of leading indicators — volatility patterns, correlation shifts, macroeconomic data — to estimate the probability of future movement before it is reflected in price.
Open an account and receive your first data-led risk assessment. No minimum deposit, no obligation to commit further capital.