Fantomtally analyses market data continuously and filters out short-term noise, so you and your adviser can make calmer, better-informed decisions about pension and retirement savings.
Fantomtally was built on a simple premise: most poor investment decisions come from reacting to noise rather than signal. Our models process market, economic and portfolio data continuously, flagging only the changes that meet a defined threshold of relevance.
The system does not replace judgement. It narrows the field of information down to what is statistically significant, leaving the final decision with you or your financial adviser.
Rather than asking you to take our word for it, Fantomtally publishes a running log of model outputs and outcomes. Members of the community can review timestamps, compare them against public market data, and flag discrepancies.
| Date logged | Model flag | Status |
|---|---|---|
| 03 Jan | Allocation variance flagged | Verified |
| 11 Jan | Volatility threshold reached | Verified |
| 22 Jan | Exposure review suggested | Verified |
Our transparency statement: Fantomtally does not curate which entries are shown. Outcomes that underperform expectations remain in the public log alongside those that do not, because a selective record would defeat the purpose of verification.
Growth matters less at this stage than protecting what has already been built. The following features are designed with that priority in mind.
The system continuously measures portfolio concentration and correlation risk, highlighting where holdings are more exposed to a single sector or event than intended. For retirees relying on steady income, catching this early matters more than chasing an extra percentage point of growth.
Traditional reviews happen on a fixed schedule, which can leave weeks between meaningful checks. Fantomtally monitors relevant data continuously, so a material shift in market conditions is surfaced promptly rather than discovered at the next scheduled review.
Recommendations are calibrated to the scale of the portfolio in question, avoiding changes that would be disproportionate relative to typical trading costs or tax implications. The aim is measured, suitable adjustment rather than frequent repositioning.
No. The purpose of the model is the opposite: to filter day-to-day market noise so that only statistically meaningful changes reach you or your adviser. It is designed to reduce reactive decision-making, not encourage frequent trading.
You do, or your adviser does. Fantomtally presents analysis and flagged observations. It does not execute trades or make binding decisions on your behalf.
Account and portfolio data is encrypted in transit and at rest, and access is restricted to what is strictly needed to generate your analysis. We do not sell or share personal financial data with third parties for marketing purposes.
Every output remains in the public log, including cases where the outcome did not meet expectations. We believe a complete record is more useful than one that only shows favourable results.
No specialist knowledge is required. Outputs are presented in plain language, with the underlying data available to review for those who want more detail.
There is no obligation attached to looking. Review the published performance logs, read how entries are verified, and take as long as you need.