Kultapiste combines real-time data analysis and open performance logs into one tool. Decision-making is based on modeled data, not guesswork — and the results can be checked by anyone.
The performance logs are public and the user community confirms their accuracy regularly.
Kultapiste collects and merges data streams automatically, computes predictive models in the background, and logs each recommendation for review by the user community. The analysis continues even if the user is not at the machine at that very moment.
Market and industry data are processed continuously, so the view of the portfolio's status and market environment remains up-to-date without manual updating.
The models identify deviations and risk concentrations in advance, and produce concrete recommendations to balance the exposure.
The results of the analysis are converted into clear, prioritized action proposals that can be applied to a single portfolio as well as to several at the same time.
Each recommendation produced by the collection is logged with a time stamp, background data and final result. The log is open, and members of the user community can compare recorded results with the realized market development.
| The date | Object of analysis | Recommendation | Community verification |
|---|---|---|---|
| 03.03 | Portfolio risk distribution | Exposure balancing | Confirmed |
| 11.03 | Sector-specific volatility | Reassessment of positions | Confirmed |
| 19.03 | Correlation change | Expanding diversification | Under revision |
The entry "Verified" means that at least two independent community members have verified the correspondence between the background data of the log entry and the final result. The review process is fully described on page faq.html.
Portfolio and market data sources are connected to the platform once. After this, data transfer takes place automatically without separate maintenance.
Predictive models go through the incoming data continuously, identify deviations and record observations in the performance log in an up-to-date manner.
The user receives prioritized recommendations for the channel of his choice. Procedures can be approved remotely, regardless of schedule and location.
Kultapiste has been developed to respond to a situation where investment and business decisions are increasingly made remotely and in varying time zones. The starting point has been to combine computational accuracy and verifiable transparency into a single entity.
The models behind the platform are designed to produce repeatable, documented results — not one-time predictions. More information about the methods and the team's operating principles can be found on the page about.html.
Read more about usConnections to data sources are established through encrypted interfaces, and access rights are always limited to only necessary functions. Identification information is not stored in plain language, and the access log can be viewed in the user's own control panel.
The platform combines public market data sources, portfolio data added by the user and industry-specific data inputs. All sources and their update frequency are listed in the metadata of each analysis.
Analysis and risk identification work continuously automatically, but significant action proposals always require the user's approval. Automation does not make final investment decisions on behalf of the user.
Connect data sources, view the first predictive report, and track the evolution of recommendations in an open performance log — regardless of location.
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