Every tool built around one question: what does the data actually show?
Wiener Nachrichten combines AI-driven pattern analysis, historical backtesting, and clear reporting so you can evaluate financial decisions on evidence rather than guesswork.
What Wiener Nachrichten gives you
A structured set of tools designed to turn raw financial data into decisions you can stand behind — for households planning ahead and investors weighing risk.
AI Pattern Detection
Our models scan historical financial datasets to surface patterns and correlations that are difficult to spot through manual review alone.
Historical Backtesting
Every scenario is checked against past market and household-finance data before it's presented, so recommendations are grounded in what has actually occurred.
Clear, Readable Output
Findings are translated into plain-language reports with visual summaries, avoiding jargon that obscures the underlying numbers.
Consultation Support
A scheduled consultation walks through your specific analysis, answering questions and putting the data in context for your situation.
Data first, opinions second
Rather than starting with a product to sell, Wiener Nachrichten starts with your numbers — income, goals, risk tolerance, and time horizon — and runs them through models trained on historical financial data.
The platform then backtests possible strategies against past conditions, showing how each would have performed rather than how it might theoretically perform. This gives you a realistic, testable basis for comparison instead of a projection built on assumptions alone.
The result is a report you can question, revisit, and discuss — not a one-off recommendation you're expected to accept on faith.
A closer look at what's included
Each feature below addresses a specific step in moving from raw data to a decision you understand and trust.
Scenario Comparison
Run multiple financial scenarios side by side — different savings rates, investment allocations, or timelines — and see how each would have performed under historical conditions. This makes trade-offs visible instead of theoretical.
Risk Flagging
The analysis highlights where a plan is more sensitive to market swings or income disruption, based on how similar structures have behaved in past downturns and recoveries.
Progress Tracking
As your situation changes, the platform can re-run the analysis against updated figures, so your plan is revisited against fresh data rather than left static.
Transparent Methodology
Every report notes the data range and assumptions used in the backtest, so you can see exactly what the analysis is — and isn't — accounting for.
How a feature set becomes a plan
Input your figures
You provide the relevant financial details — income, savings, goals, and constraints — which stay specific to your situation.
Run the analysis
The AI models process your inputs against historical datasets, generating backtested scenarios rather than generic projections.
Review together
In a consultation, we walk through the report, explain the reasoning behind each finding, and answer any questions before you decide.
See these features applied to your own numbers
Book a consultation and we'll walk through how Wiener Nachrichten's analysis would look for your specific situation.
Book a Consultation