Passive portfolio monitoring
Open positions on multiple exchanges are automatically observed; the notifications only report the changes deemed relevant by the model, avoiding constant manual control.
Reduction of time dedicated to daily checks
Multi-exchange predictive analytics for more precise investment decisions
Zinrin Kelnis collects and normalizes data from multiple connected exchanges and processes it with predictive models, returning operational indications in a single dashboard. No spreadsheets to manually update, no tabs open in parallel.
The main view shows connected exchanges, data synchronization status and a summary of the recommendations generated by the predictive engine, sorted by model confidence level.
Unified dashboard
Single point of access for data from different exchanges
Those who manage positions on multiple platforms know the problem: fragmented data, different formats, unsynchronized updates. Zinrin Kelnis connects accounts via read-only API and reports each information flow in a common data structure, so the comparison between markets takes place on a homogeneous basis.
- Connection of multiple exchanges with limited permissions to read data, without access to funds or withdrawals.
- Automatic format normalization, to compare assets and currencies without manual conversions.
- Continuous update of the synchronization status, visible at any time from the dashboard.
Connected exchanges
Exchange ASynchronized
Exchange BSynchronized
Exchange CUpdating
Predictive engine
Statistical models applied to time series and real-time market data
Active model — last processing completed
The engine analyzes historical series, volumes and price changes on connected exchanges, identifying recurring patterns and significant deviations compared to the average behavior of an asset. Predictions are expressed with a level of confidence, not as absolute certainties.
The goal is not to anticipate every market movement, but to reduce exposure to decisions made with partial information or with delays compared to available data. This translates into risk optimization based on evidence, not intuition.
Model indicators
Average confidence signalsHigh
Processed dataReal time
Model reviewPeriodic
Practical applications
Designed for those who manage investments alongside a main business
Zinrin Kelnis is designed for those who cannot follow the markets throughout the working day, but still want to base their choices on continuous and coherent analyses.
Comparison of allocations
The dashboard compares the distribution of capital between different exchanges and asset classes, highlighting concentrations of risk that are not always visible when looking at a single account.
Consolidated view of overall risk
Pre-operation evaluation
Before making changes to a position, you can consult the model confidence indicator for that asset, as an additional reference to your own analysis.
Decisions supported by updated data
Who we are
An analytical approach, without promises of guaranteed earnings
Zinrin Kelnis was created to make quantitative analysis tools usually reserved for professional desks accessible, maintaining a clear language on what the platform can and cannot do.
We do not predict market trends with certainty and do not replace the investor's personal evaluation. We provide calculations based on verifiable data, leaving the final decision on each operation to those who use the platform.
Discover our method
Methodology
How data is collected, processed and returned
Transparency on the process, not testimonies: here is the path that a piece of data follows from the moment it enters the system to when it becomes an operational indication.
1
Connection
Connection to exchanges via read-only API, with limited permissions that can be revoked at any time.
2
Normalization
The data is cleaned and converted into a common format, to ensure consistent comparisons between different sources.
3
Predictive analytics
The models process time series and current data, calculating a confidence level for each signal generated.
4
Recommendation
The indications are shown in the dashboard with the relevant context, without automatic execution of operations.
5
Review
The user evaluates the indication and decides independently whether to act, modify or ignore the received signal.
Data security
The API keys used to connect to the exchanges are configured with read-only permissions: Zinrin Kelnis does not have the ability to move funds or make withdrawals.
Note on transparency
The generated signals always report the confidence level of the model. We do not present past performance as a guarantee of future returns.
Frequently asked questions
Clarifications on the use of the platform
Do you need technical experience to use Zinrin Kelnis?
No. The exchanges are connected via a guided procedure and the dashboard presents the results in a readable form, without requiring knowledge of programming or advanced statistical analysis.
In what sense are earnings "passive"?
The platform automates the collection and processing of data, not the execution of operations. The activity required of the user is reduced to the periodic review of the indications, not to the continuous manual analysis of the markets.
Does Zinrin Kelnis trade on my behalf?
No. The recommendations generated by the model remain informative recommendations. Every operation on connected exchanges is decided and executed by the user.
Which exchanges are supported?
Support concerns the main exchanges with public APIs available for reading data. The updated list of integrations can be found in the features section.
Can I revoke access to my data at any time?
Yes. API keys can be deactivated directly from the exchange panel or from the Zinrin Kelnis dashboard, immediately stopping data synchronization.
For questions not covered here, you can write to our support via contact page.