RijksLedger AI combines data from multiple platforms and exchanges into one coherent dashboard, so that you can see more quickly where adjustments are needed and which opportunities you can best focus on.
Anyone who is active on multiple platforms — as an additional earner in the gig economy or as a small-scale investor on various stock exchanges — quickly collects data in too many places. Each source has its own structure, its own export format and its own rhythm of updates.
The result is that important signals are noticed late or not at all, and decisions are often made based on gut feeling rather than a complete picture.
RijksLedger AI connects to the platforms and exchanges you already use and processes that data into actionable, predictive insights. This way, the complexity of multiple systems remains behind the scenes, and you keep an overview.
Connect multiple exchanges and platforms at the same time, without having to switch between separate login environments.
All relevant figures brought together in one view, structured by income, expenses, positions and risk.
Models that recognize patterns in historical and current data and translate them into concrete points of interest.
The analysis process follows a fixed, repeatable structure. This makes the outcome imitable, even when the underlying data is complex.
Data from linked platforms and fairs are collected and read in a standardized way.
Historical patterns and current signals are combined to estimate likely developments.
Each estimate is compared against known risk factors, so that opportunities are not shown separately from possible disadvantages.
The results are translated into a concise recommendation, with the underlying reasoning made clear.
Those who are active on multiple gig platforms often see income coming in at different times and in different overviews. RijksLedger AI brings these flows together, so that it becomes clear which platforms contribute structurally and which mainly cost time.
For investors who hold positions on multiple exchanges, diversification only makes sense if the total risk is visible. The dashboard shows positions per stock exchange next to an aggregated risk picture, so that over-concentration is more quickly noticed.
Data from linked platforms and exchanges is processed encrypted and used exclusively for analysis within your own dashboard. Access to raw source data is limited to the systems required for processing.
Recommendations arise from models that combine historical patterns with current market signals. The underlying factors, such as volatility or income dispersion, are explained with each recommendation.
RijksLedger AI supports a growing number of commonly used exchanges and platforms. When linking a new source, it is first checked whether the data structure is compatible with the analysis models.
Yes, the risk weighting can be adjusted to your own preference, from conservative to more risk-accepting, after which the recommendations are recalculated accordingly.
All analyzes are based on data sources linked by you. RijksLedger AI does not fill in missing data with assumptions that do not follow from your own data.
Connect your platforms and exchanges, and immediately view within the dashboard which patterns are relevant for your next decision.
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