Make decisions with data, not intuition
Magyarorszag collects data from multiple exchanges into one dashboard and uses AI-based analysis to help assess risk before investing.
Magyarorszag collects data from multiple exchanges into one dashboard and uses AI-based analysis to help assess risk before investing.
As a first-time investor, who opens several stock exchange platforms at the same time, he is soon faced with the fact that the format, update speed and reliability of the data are different.
Each exchange has a separate account, a separate chart and a separate alert logic, which increases the chance of making a mistake.
The amount of news feeds, metrics and analyst opinions is beyond what a human can process in real time.
By the time the user compares the data manually, the market situation has often already changed.
Magyarorszag doesn't give you more data, but a single, organized view — the extract you need to make a decision, not all the noise.
We keep technical complexity in the background: the user sees a single, clean interface, while the system monitors several markets at the same time.
The system connects the data stream of the selected exchanges at the same time, so there is no need to switch between platforms.
AI identifies trend patterns based on historical and real-time data and uses them to make short-term forecasts.
The system filters out irrelevant news and fluctuations, highlighting only signals relevant to the decision.
The recommendations are tailored to the specified risk profile and investment horizon, not general advice.
The prediction layer runs machine learning models on price, volume and sentiment data. The user interface only displays the essence of this — direction, confidence level and justification — the models are run in the background, automatically.
On a single screen, broken down by stock exchange:
Our goal is not to put another analytical tool in your hands, but to provide a single, understandable view instead of existing tools.
The layout of the dashboard follows the decision process: first the risk, then the opportunity, and finally the recommended action. You don't need a degree in finance to understand the output.
The system does not replace the decision, but structures it. The following steps are executed in each analysis cycle.
The platform collects exchange rate, volume and news feed data of selected exchanges in a uniform format.
The model looks for patterns similar to previous movements and assigns a confidence level to them.
All positions and proposals are rated based on the specified risk tolerance before being displayed.
The final output is a concrete proposal with a short, verifiable rationale — not a black box.
The aim of the system is not to highlight the highest return, but to make the relationship between risk and return transparent. Next to each proposal, we indicate under which market conditions it is valid and under which factors it is worth revising.
Three typical situations where a unified dashboard makes a measurable difference compared to manual data collection.
A new user specifies their risk tolerance and time horizon. Based on this, the system provides a ranked asset list and entry proposal, broken down by stock exchange.
For a user who holds positions on three different exchanges, the dashboard shows aggregate exposure and overlaps in a single view.
In the event of a sudden price drop, the system distinguishes between short-term fluctuations and long-term trend changes, and gives a corresponding, specific reaction proposal.
Set your risk profile, link your stock accounts and see your first analysis in a single dashboard.