Phundektris applies predictive modelling to the Australian market so your portfolio keeps working long after you've closed the laptop. Set your parameters once, and our models handle the ongoing analysis — no spreadsheets, no daily monitoring.
Price movements, volume shifts and macro releases now arrive faster than any individual investor can reasonably absorb. The gap isn't intelligence — it's bandwidth. Most retail investors are left choosing between surface-level app notifications and the steep learning curve of institutional tools.
Phundektris was built to sit in that gap. We aggregate the same categories of data used by professional desks, run it through models designed for risk mitigation rather than speculation, and translate the output into plain recommendations. You don't need to learn data science to benefit from it.
We collect pricing, volume and macroeconomic data from global and domestic sources, continuously, and normalise it into a single structure our models can reason over.
Our models assess risk exposure and historical pattern consistency, flagging scenarios that fall outside expected volatility ranges before they affect your position.
Recommendations are tailored to the risk tolerance and time horizon you set, with position sizing adjusted to maintain consistency across market cycles.
Each stage exists to reduce the chance of acting on noise. We'd rather deliver a steady, explainable result than chase a short-term spike that can't be reproduced.
Every recommendation we publish is logged with a timestamp, and the outcomes are reviewed by members of our investor community before being archived. This log format favours long-term stability over headline numbers.
Illustrative layout of our standard monthly log format
Highlighted months reflect periods where volatility triggers prompted a reduced position size rather than a loss event.
| Month | Model Status | Risk Flags | Community Review |
|---|---|---|---|
| January | Within target range | None | Confirmed |
| February | Within target range | One flagged, mitigated | Confirmed |
| March | Position reduced | Volatility above threshold | Confirmed |
Designed for members managing a self-managed super fund who want steady, long-horizon growth without taking on active trading responsibilities. Parameters are set around capital preservation, and the model rebalances recommendations quarterly in line with retirement timelines.
Conservative · Long HorizonSuited to members seeking a supplementary monthly income stream alongside existing investments. These members typically review recommendations more frequently and allow for a wider range in return, in exchange for additional AUD cash flow each month.
Moderate · Income FocusedNo. Phundektris is built for investors without a technical background. You set your risk tolerance and investment horizon through a plain-language form, and the platform handles the modelling and reporting from there.
Account and portfolio data is encrypted both in transit and at rest, and access is limited to the systems required to generate your recommendations. We do not sell personal data to third parties.
Our models are designed to flag conditions that fall outside expected volatility ranges and adjust position sizing accordingly, rather than attempting to predict short-term price spikes. The goal is consistency across a full market cycle, not reaction to any single event.
Set up your account in a few steps, define your risk tolerance, and review your first set of recommendations alongside our community-verified logs.
Start Your Account Setup