ZSE AI platforma consolidates data from multiple exchanges into a single dashboard and, with the help of predictive models, provides concrete recommendations for more optimal liquidity, without the need for in-depth trading knowledge.
For many small and medium-sized companies in Croatia, free funds are sitting in current accounts or spread over several platforms, without a clear insight into how much the missed returns actually cost.
Positions and balances are spread over several exchanges and platforms, so the overall picture can only be obtained by manually combining the reports.
Changes in market conditions are often noticed only after they have already affected the value of the portfolio.
Company owners are focused on their core business, so detailed liquidity analysis remains on the back burner.
When data from all stock exchanges is combined in one place, and the analysis is performed automatically, capital allocation decisions become clearer and more timely.
ZSE AI platforma is not an active trading tool nor does it promise quick profits. The purpose of the platform is to provide company owners with a structured, documented overview of the liquidity situation and possible reinvestment scenarios, based on the data they approve for connection.
The recommendations generated by the system are based on historical and current market data and predefined risk parameters set by the user, and not on guesswork or promises of future returns.
Instead of collecting data from several sources separately, ZSE AI platforma combines them into a single system that constantly monitors changes and signals deviations.
Balances, transactions and exposure on all connected exchanges are displayed in one interface, with the possibility of comparison by currency, instrument and time period.
Algorithms process market data in real time and estimate likely movement scenarios, with an indication of the confidence level of the estimate.
Each recommendation comes with an associated risk assessment, calculated based on volatility, market liquidity and set user limits.
The process is divided into three steps, so that each recommendation has a clear and verifiable sequence of creation.
The platform connects to selected exchanges through secure API interfaces and regularly imports data on balances, prices and market conditions.
The models analyze historical patterns and current indicators of liquidity, volatility and correlation between instruments and asset classes.
The result of the processing is displayed as a reviewed report with recommendations and associated risk, while the company owner makes the final decision.
The three most common business scenarios in which small and medium-sized companies use insights from the platform.
The system recognizes amounts that have been inactive for a long time and suggests allocation to instruments aligned with the set availability deadlines.
When a yield is realized or capital is released from overdue positions, the platform proposes an allocation according to a predefined company risk profile.
In case of increased volatility on the connected stock exchanges, the system warns of the concentration of risk and suggests measures for its distribution.
Answers to the most common questions business owners ask before linking their accounts.
The connection to the exchanges takes place via API access with limited authority, without the possibility of withdrawing funds. Data is transmitted encrypted, and access within the platform is limited to authorized company users.
ZSE AI platforma supports connecting to multiple leading exchanges simultaneously, and the list of supported platforms is expanding according to the technical documentation available in the Features section.
The data is used solely to generate analytics within the company's user account and is not shared with third parties for marketing purposes. Processing details are described in the privacy policy.
Request a demo of the platform and check on your own data an example of what a unified overview of multiple exchanges and AI recommendations tailored to your company's risk profile looks like.