Vrijedovana uses predictive AI analysis to process large amounts of market data in real-time and offer clear recommendations, giving individual investors tools similar to those of institutional players.
Get started for freeRemote workers rarely have time to monitor the markets during the day. News, forums and highlighted prices on the screen create an impression of urgency that often leads to entering a position at the wrong time or exiting it too quickly.
Vrijedovana filters that noise by separating the signal from the market's reaction to short-term news, and shows the user only what is statistically relevant to his strategy.
An example of signal filtering: the highlighted segments represent periods that the algorithm recognizes as relevant to the decision, while the rest of the data is temporarily ignored.
Each function solves a specific problem faced by an investor who does not have time to monitor the market all day.
Instead of a fixed investment schedule, Vrijedovana adjusts the size and timing of each transaction according to current market volatility, thereby optimizing the average entry price without the need for daily decision making.
The model assesses the portfolio's exposure according to historical patterns and current market conditions, and shows the user where the concentration of risk is increasing before it becomes visible in the price.
When the system recognizes a deviation relevant to the set strategy, the user receives a concise notification with an explanation of the context, instead of an endless series of raw data alerts.
The process is divided into three steps so that the user can always understand why the system has reached a certain conclusion.
The platform aggregates price series, trading volume and other publicly available market indicators, and checks them to exclude incomplete or obviously wrong entries.
The model estimates which patterns are statistically significant for the user's chosen strategy, while the rest of the data remains recorded, but not displayed as a priority.
The result is a concrete recommendation — for example, adjusting the size of the next payment — that the user can accept, postpone, or manually change before confirmation.
The user sets the target amount and investment rhythm, and the Smart DCA mechanism adjusts the execution daily according to market conditions. The focus remains on the primary job, while the system records each transaction and the reason for its execution.
Instead of checking prices during the working day, the user receives a notification only when the risk assessment exceeds the set threshold. The decision about the reaction always remains with the user, and the system only shortens the time needed to notice the problem.
Your portfolio and strategy settings information is used solely to generate referrals within your account. The transparency of data processing is described in detail in the terms of use before registration.
Not. The interface is designed so that the recommendations are clearly explained in plain language, without the need for technical background in machine learning or statistics.
Not. The platform provides analysis and suggestions, but each transaction and final decision is confirmed by the user. The system is intended as a decision aid, not as a substitute for your own judgement.
Registration takes a few minutes, and you get the first recommendations after connecting an existing strategy or entering basic investment parameters.