Tvundareko brings together price data, trading volumes and market indicators from multiple exchanges in one dashboard and continuously adapts forecasts to new data - as a comprehensible basis for the long-term financial protection of your family.
Request a free demoAnyone who spreads savings across several trading venues usually juggles a variety of applications: an app for the securities account, another for crypto exchanges, plus their own tables for evaluation. Prices, reports and analyzes appear with a time delay and in varying quality.
Tvundareko brings these data streams together in a central view. A forecast model filters out short-term market noise and highlights developments that are relevant for longer-term wealth planning.
Result: a uniform reference point for decisions – regardless of how many exchanges a portfolio is spread across.
Tvundareko combines data integration, forecast models and risk assessment into a continuous analysis process.
Depot and account data from different trading venues are transferred into a uniform format. Positions, movements and fees can be compared directly instead of looking them up individually in different apps.
Historical and current market data is incorporated into statistical models that recognize patterns in price trends. Each forecast is issued with an assessment of reliability rather than being presented as a fixed prediction.
Fluctuations, cluster risks and market correlations are continually recalculated. This gives families an up-to-date assessment of how much their wealth depends on individual market developments.
The path from raw data to a concrete assessment follows a fixed, comprehensible process - without hidden automation.
Price and trading data is continuously retrieved from the connected exchanges and checked for completeness and plausibility before it is further processed.
The AI models compare current trends with historical patterns and evaluate which signals are statistically reliable and which represent more random noise.
The analysis results in an assessment relating to the respective portfolio, including reasons for which factors were decisive.
The following examples show the situations in which a merged database provides concrete support.
Savings plans spread over decades can be observed in their overall development instead of looking at individual portfolios separately. This makes it clear whether the distribution still fits the planned retirement date.
For time-bound savings goals, the risk assessment shows whether a portfolio should be increasingly protected against price fluctuations in the years before the planned need.
The platform displays yield developments in relation to the inflation rate, so that real rather than purely nominal changes in value are visible.
Questions about data security are rightly at the forefront of financial applications. The answers below summarize the key points.
All personal data is processed in accordance with the requirements of the GDPR and stored exclusively on servers within the EU. The use of the analysis functions does not require the data to be passed on to third parties for advertising purposes.
The connection to stock exchanges takes place via read-only interfaces that only allow price and portfolio data to be read out. There is no technical provision for automated buying or selling of securities through the platform.
Each forecast is shown with a confidence value and serves as a decision-making aid, not as a guarantee. Tvundareko is a tool to support your own decisions and does not replace individual financial advice.
A consolidated view of all investments shows how individual positions impact the family's overall risk - before market fluctuations require a response.
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