Protection of savings against inflation
The platform continuously evaluates the rate at which the real value of your savings is falling or growing and suggests adjustments to the allocation to stay in line with your time horizon.
Noviny Dnes's AI platform analyzes market trends and risks so you can make decisions based on facts, not guesswork. You receive the results clearly, daily and without unnecessary jargon.
Time from data collection to model evaluation, without waiting for manual analysis.
The volume of data processed across markets that the platform evaluates every day.
Predictive models are continuously tested against real market developments, not just historical data.
Noviny Dnes was not created as another investment tool with promises of high returns. It's an analytics layer that processes public market data, economic indicators and risk factors, and presents the results in an understandable form — without hidden fees for information you should have had right from the start.
The goal is to reduce the information noise that families and individual investors face when making savings decisions and replace it with one reliable source of daily feedback.
Each function solves a specific problem — noise in data, uncertainty about risk and lack of insight into one's own portfolio.
Algorithms continuously compare thousands of variables — from macroeconomic indicators to sector trends — and identify patterns that manual analysis would reveal only with a long delay. The output is not a black box, but a concrete estimate of the probable development with the indicated degree of uncertainty.
The platform continuously monitors the concentration of risk in your portfolio — for example, excessive dependence on one sector or currency — and warns you before the deviation affects the result. The decision of what to do with the notification is always up to you.
Instead of logging into multiple tools, you'll receive a daily summary by email — portfolio status, risks captured, and recommendations sorted by urgency. The report is designed in such a way that it can be understood even by someone without a financial education.
The process is divided into three steps so that it is always clear where the recommendation comes from and on what basis it was created.
The platform continuously collects publicly available market data, economic indicators and data about your portfolio, which you provide yourself. All inputs are recorded and traceable.
The data is run through predictive models that look for patterns and deviations from expected trends. The output is a numerical assessment of risk and opportunity, not a subjective estimate.
The result is converted into understandable text and included in the daily report along with an explanation of why the given recommendation was generated.
The following scenarios are based on the common needs of families and individual investors when planning a long-term financial future.
The platform continuously evaluates the rate at which the real value of your savings is falling or growing and suggests adjustments to the allocation to stay in line with your time horizon.
When analyzing the technology sector, the model compares current valuations with historical patterns and warns if the portfolio is too concentrated in one industry.
If the volatility of a position increases above the normal level, you will be notified before it manifests itself in a significant loss of portfolio value.
All data transmitted between your device and the platform is encrypted. Only the systems necessary to calculate recommendations, not third parties, have access to sensitive portfolio data.
The platform uses publicly available market and economic data in combination with data you provide yourself about your portfolio. The source of each input is always indicated in the report.
Risks and opportunities in the market change faster than a monthly statement can capture. The daily report allows you to react to deviations before they translate into a bigger loss or a missed opportunity.
Free initial consultation on data integration options.