Predictive Modelling
Historical price patterns, macroeconomic indicators, and sector trends are weighted to project a range of likely outcomes for each asset, rather than a single fixed forecast.
Hyrvantis processes market data continuously and converts it into clear, risk-adjusted recommendations. Because the analysis is automated, we remove the trading commissions that typically erode a household's compounded returns.
Traditional brokerages price trades to cover human advisory time, branch infrastructure, and manual compliance checks. Hyrvantis replaces those layers with a single automated pipeline that ingests data, applies predictive models, and surfaces a recommendation without a person re-keying figures at each stage.
The operational cost of running that pipeline does not scale with the number of trades you place, so we do not need to charge per transaction. Our revenue comes from optional advisory tiers, not from clipping each trade you make.
For a middle-income household investing modest, regular amounts, removing a 0.5% commission on every trade has a measurable effect on long-term growth, which we quantify in the comparison below.
Market feeds, account holdings, and risk tolerance data are ingested in real time.
Predictive models score each asset against your stated time horizon and risk limits.
A ranked recommendation is returned, with the reasoning behind it shown in plain terms.
No commission is applied at execution, regardless of trade size or frequency.
Each capability operates independently but feeds a shared decision layer, so the output you see is the product of several checks rather than a single signal.
Historical price patterns, macroeconomic indicators, and sector trends are weighted to project a range of likely outcomes for each asset, rather than a single fixed forecast.
Market data is reprocessed continuously, so a recommendation reflects current conditions rather than a static snapshot taken at the start of the day.
Every suggested position is checked against your declared risk tolerance and existing portfolio concentration before it is surfaced to you.
Portfolio weightings are periodically rebalanced in line with your goals, reducing the manual effort typically required to keep an allocation on target.
The process below runs for every asset under review, whether it is a single fund or a diversified household portfolio.
Price history, trading volume, corporate filings, and macroeconomic indicators are pulled from multiple sources and normalised into a consistent format.
The predictive model cross-references current conditions against historical patterns, producing a probability-weighted view of likely outcomes for each asset.
A ranked, plain-language recommendation is presented alongside the key factors that informed it, so the reasoning remains visible rather than hidden.
Hyrvantis was designed around a simple observation: long-term outcomes are shaped more by consistent, fee-free contributions than by short-term market timing. Our platform is built to support regular, modest investing rather than high-frequency trading.
We publish the logic behind each recommendation so that families can understand the reasoning, not just the result. Every feature on this page exists to support that principle of technical clarity over black-box forecasting.
The table below illustrates the effect of a typical 0.5% per-trade commission on a household investing £250 a month over different time horizons, assuming identical market returns in both scenarios.
| Time Horizon | With 0.5% Per-Trade Fee | With Hyrvantis (Zero Fee) | Difference |
|---|---|---|---|
| 10 years | £38,900 | £40,100 | £1,200 |
| 20 years | £101,200 | £105,600 | £4,400 |
| 30 years | £198,700 | £209,300 | £10,600 |
Projections assume a constant 6% average annual return and consistent monthly contributions, before inflation. They are illustrative only and do not account for market volatility, tax treatment, or changes in contribution levels. Past performance of any market index is not a reliable indicator of future results.
Account data and trading instructions are encrypted in transit and at rest. Access to the underlying infrastructure is restricted and logged, and no personal financial data is used to train models shared across other accounts.
Each recommendation is accompanied by the primary factors that influenced it, such as volatility trends, sector exposure, or valuation signals. We do not present a recommendation without also showing the basis for it in plain terms.
Revenue comes from optional advisory subscriptions and account management tiers, not from per-trade commissions. This means our incentives are aligned with the size and performance of your long-term portfolio rather than your trading frequency.
Yes. Because there is no per-trade fee, smaller and less frequent contributions are not penalised proportionally, which is one of the main practical advantages for middle-income households building savings gradually.
Setting up an account takes a few minutes. You can review the first recommendation before committing any funds, and there is no obligation to trade immediately.