Riznačnik — display AI analysis of market data on the desktop
AI Analysis · 0% Fees

Your profit remains yours.

Riznačnik analyzes market data in real time and suggests concrete steps for portfolio management, with no commission on transactions. Aimed at freelancers who want to make smart decisions between projects.

How the analysis works

Data without ballast, conclusions without guesswork.

  • Real-time processing The model monitors market signals continuously and updates the risk assessment every few minutes instead of once a day.
  • Adjusted risk threshold Recommendations are matched to your capital and time horizon, not a generic investor profile.
  • Explainable recommendations Each recommendation comes with a brief explanation of the variables that shaped it, without a black box.
  • Background check The model is tested on historical data before the recommendation is displayed, to check for consistency.
The visual display within the app shows the movement of the selected asset, the volatility range and the current model recommendation on a single graph line, without additional layers that make it difficult to read.
Financial advantage

0% fees. 100% yield.

Most platforms retain a portion of the profits through transaction, management or exit fees. Riznačnik does not charge for any of them. What you earn in the market stays in your account.

For a freelancer who invests between projects, the difference is not measured in percentages on paper, but in the actual amount that accumulates month after month.

About access

Built for those without a financial team behind them.

Riznačnik was born from a simple observation: independent investors and freelancers do not have access to the same analytical tools as institutional funds, and they pay more for less transparency.

The platform brings together market data, predictive models and a clear rationale for each recommendation in one place, so that investment decisions are based on data, not guesswork.

Riznačnik team in data analysis and development of predictive models
Methodology

Three steps from data to recommendation.

Data collection

The model aggregates market prices, volatility and liquidity from publicly available sources, without accessing third-party data unrelated to the market.

Analysis and modeling

The predictive model identifies movement patterns and estimates the probability of scenarios based on historical and current data, with continuous recalibration.

Portfolio optimization

Based on your risk threshold, the system suggests specific position adjustments and indicates the confidence level of each recommendation.

Note on methodology: the model does not guarantee returns. Estimates are based on statistical analysis of historical data and may deviate from actual market movements, especially in periods of high volatility.

Application

Three concrete use cases.

01

Portfolio protection

The model recognizes the concentration of risk in the portfolio and suggests an allocation that reduces exposure to one type of asset before periods of increased volatility.

02

Entry time

Instead of guessing at the right moment, the system marks periods of more favorable risk-return ratio based on current market signals.

03

Risk assessment

Each position receives a risk rating aligned with your capital, so the decision to increase or decrease investment has a clear basis.

Questions and risks

Transparent about model boundaries.

How Riznačnik earns without transaction fees

The platform's income does not come from fees on individual transactions, but from subscriptions to access analytical tools. Transactions you make through the linked account remain without additional commission.

Does the model guarantee a certain yield?

No. Recommendations are derived from statistical analysis of data and probability assessment, not from a guarantee of outcome. Market conditions can change faster than the model predicts.

What data is included in the analysis

Publicly available market data are used: prices, volume, volatility and liquidity. Personal financial information is used solely to adjust the risk threshold, not to trade on your behalf.

Can I manually decline a referral?

Yes. Each recommendation requires user confirmation before implementation. The system does not execute transactions automatically without your approval.

What happens in periods of high volatility

The model reduces the confidence level of recommendations and clearly indicates this in the interface, instead of displaying recommendations with the same certainty as in stable conditions.

Note on risk: investing in financial instruments carries the risk of losing the invested capital. Riznačnik provides analytical support, not financial advice or asset management on behalf of users.

Join the waiting list for early access.

Leave a contact and we will contact you when the platform opens up a place for a new group of users in Croatia.