Our real-time predictive models continuously read market signals and portfolio behaviour, flagging risk before it compounds and giving you a clear, quantified basis for every call you make.
Most people managing a portfolio or a side venture are not short on information. They are short on time to make sense of it before the moment to act has passed.
Štedorix does not remove your judgement from the process. It removes the manual work of gathering and interpreting data, so the judgement you apply is based on a synthesised, current picture rather than a partial one.
Three connected processes, each visible to you rather than hidden inside a black box.
We synthesise historical performance, live market data, and portfolio-specific variables into a forecasting model that is recalibrated as new information arrives. Rather than a single static prediction, you receive a range of likely outcomes with the underlying assumptions stated plainly.
Every recommendation comes with the data trail behind it: which signals triggered it, how the model weighed them, and how the prior day's prediction compared with what actually happened. You do not just get an answer — you get to see how it was reached.
Rather than a general risk label, we quantify exposure across specific factors — concentration, liquidity, and correlated market movement — so you can see precisely where a downside scenario would come from, and size positions accordingly.
The platform is designed for people who want the benefit of continuous analysis without needing to perform it themselves.
You connect the accounts or data sources relevant to your portfolio or venture. We pull in pricing, transaction, and market data continuously, without requiring manual uploads or spreadsheet exports.
The model analyses incoming data against historical patterns and current market conditions, quantifying risk and opportunity while cross-checking its own prior predictions for accuracy.
Each morning, you receive a concise summary of what changed, what the model recommends, and why. Acting on it is optional and remains entirely your decision.
Rather than testimonials, we publish the mechanics of how the model checks itself against reality, day after day.
The accuracy delta is the gap between what the model predicted and what actually occurred. We report it openly, both when it is small and when it is not, because a model that never publishes its misses is not one you can reasonably rely on.
When the delta widens, the system treats it as a learning input: the underlying weightings are adjusted, and the change is reflected in the following day's report. This is a continuous, visible process rather than a one-time back-test result.
Štedorix was designed around a simple observation: most investors and side-hustle operators do not lack ambition, they lack the hours in a day to process market data properly. Our role is to do that processing continuously, and to be transparent about how the resulting recommendations were reached.
We report accuracy honestly, including the instances where our models missed the mark, because a platform you can audit is one you can actually trust with your decisions.
All data in transit and at rest is protected with end-to-end encryption. Access to raw account data is restricted to the automated processing pipeline; no analyst manually reviews your individual transactions.
Our models are back-tested against historical market data before deployment, and their live performance is measured daily against actual outcomes, with the resulting accuracy delta published in your report. No predictive model is correct every time, and we do not present ours as an exception.
You connect the relevant data sources, confirm the scope of what should be analysed, and the platform begins generating reports from the following processing cycle. Our data handling follows applicable EU and Croatian data protection standards throughout.