Klarbuch Insights combines data from multiple exchanges in one dashboard and provides structured recommendations for action - regardless of which time zone you are currently working in.
Start analysis nowPreview: A consolidated dashboard shows positions, risk metrics and predictive growth curves across multiple platforms - updated in real-time, accessible from any device.
Anyone who invests across multiple stock exchanges and platforms quickly loses track of things - especially when traveling, between time zones and changing internet access.
Each exchange provides its own reports, its own formats and its own update rhythms. If you manually reconcile multiple accounts, you react too late to risks - or overlook opportunities while you sleep or travel.
Klarbuch Insights aggregates positions, transactions and key figures from connected platforms in a consistent view. The analysis continues in the background even when you are offline.
Klarbuch Insights was designed for users who cannot tie their investments to a fixed location or fixed office hours. The platform runs on the server and automatically synchronizes with the connected exchange accounts.
Instead of individual exports and manual tables, you receive a constantly updated database on which the AI models base their evaluations. Access is via browser and mobile devices, without additional installation.
Three core functions form the technical foundation of Klarbuch Insights - each with a clear, verifiable purpose.
Historical and current market data is incorporated into statistical models that calculate trends and probabilities for defined periods. The output is an estimate, not a guarantee.
Portfolios are continuously checked for volatility, concentration and deviation from defined limits. Exceedances trigger a notification before major damage occurs.
Connected exchange accounts are continuously compared via standardized interfaces. Changes to positions appear in the dashboard without having to manually export or import.
The path from a price data point to a recommendation for action takes place in three comprehensible steps.
Transaction, position and price data are retrieved from all connected exchanges and converted into a uniform format. Missing or contradictory records are marked instead of silently ignored.
The cleaned data goes through pattern recognition and risk assessment models. Correlations between positions and historical volatility patterns are taken into account.
The model results create a prioritized list of concrete suggestions - for example for rebalancing or risk reduction - including the underlying metrics for traceability.
The platform is used by both individual investors and small businesses to secure digital assets.
A location-independent investor distributes capital across three trading platforms to reduce counterparty risks. Klarbuch Insights compares the positions daily and suggests rebalancing as soon as the weighting exceeds defined tolerance limits - regardless of which country the user is currently in.
A small business holds digital assets as part of its cash reserve. The risk module monitors volatility spikes and reports when the proportion of risky positions in the total holdings exceeds a set threshold, allowing the team to react in a timely manner.