SwissNews Aktuell evaluates market data in real time and provides evidence-based recommendations for action for investors and self-employed people who want to plan additional income in a structured manner.
Each recommendation is based on a traceable chain of data collection, modeling and risk assessment.
Market and demand data is continuously recorded and evaluated so that shifts can be identified without delay.
Statistical models project possible developments based on historical and current patterns, not on assumptions.
Each recommendation is provided with an assessment of its susceptibility to fluctuations so that decisions can be made in the context of your own risk profile.
The process follows a fixed pattern: data collection, model comparison, plausibility check and only then is a concrete recommendation issued.
SwissNews Aktuell's decision engine processes structured and unstructured data from multiple sources. Before a recommendation is issued, each record goes through cleansing, model mapping, and automated consistency testing.
This does not result in a blanket forecast, but rather an assessment based on the individual parameters of the respective user - such as capital availability, time horizon and preferred risk tolerance.
The following examples describe typical application situations, not guaranteed results.
Based on fluctuating incoming orders, the system creates an overview of realistic investment windows for excess liquidity.
Based on income fluctuations in the gig sector, the platform suggests suitable investment horizons with an adapted risk profile.
Seasonal sales data is cross-referenced with market indicators to support timing of investment decisions.
After submitting your request via the contact form, you will receive verification and then access to the dashboard. The entire process is limited to just a few steps.
No. Data will only be used to create your personal analysis and will not be passed on to third parties for marketing purposes.
Yes. The models take into account fluctuating income trends, as is common in the gig sector, and adapt recommendations accordingly.
Each recommendation is documented with the underlying data points and the modeling approach used so that the derivation remains comprehensible.
Further questions? Contact our team.
Request system access and gain insight into SwissNews Aktuell's analysis tools before making a decision.
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