Dobitura dashboard for real-time portfolio monitoring and risk analysis

Keep 100% of your yield

Dobitura combines real-time data analysis with proven risk assessment algorithms to make retirement savings more stable without management or transaction execution fees.

Fee math

Why a 2% annual fee is not a small item

Management fees seem negligible when expressed as a percentage, but their effect is cumulative each year on an ever-increasing capital base. The table shows the difference between the usual fee of 2% and the model without fees, on a hypothetical example of savings of EUR 50,000 with an assumed gross return of 5% per year.

Illustrative example — not actual or promised yield
Period Value without fee (0%) Value with fee (2%) The difference
The beginning 50,000 EUR 50,000 EUR 0 EUR
5 years EUR 63,814 EUR 57,964 5,850 EUR
10 years EUR 81,445 EUR 67,196 14,249 EUR
15 years 103,946 EUR 77,898 EUR 26,048 EUR
20 years 132,665 EUR EUR 90,305 42,360 EUR

The calculation assumes a constant gross yield of 5% per year and a fee calculated on total assets. Actual returns depend on market conditions and may be lower or higher than the stated assumptions.

Dobitura team overseeing data analysis and risk management models
About the platform

A decision-making tool, not a promise of high returns

Dobitura was developed as an analytical layer between the user and the market. The platform processes portfolio data, market movements and volatility and generates recommendations based on risk assessment models rather than price direction predictions.

The goal of the system is not the maximization of short-term returns, but the stability of capital over a long period of savings, with a transparent presentation of each recommendation and the reason behind it.

Technology

How the system makes recommendations without unnecessary jargon

The algorithm does not try to guess the direction of the market. Instead, it continuously assesses the level of risk in the portfolio and suggests adjustments that reduce exposure before volatility becomes a problem.

  • Predictive risk reduction The model analyzes historical volatility patterns and current market signals to estimate the likelihood of sudden declines in portfolio value, before they occur.
  • Real-time portfolio optimization Resource allocation is reviewed continuously rather than at fixed intervals, thus reducing the delay in reacting to changing conditions.
  • Proven algorithms Decisions are based on models tested on historical market data, with an emphasis on consistency of behavior in different market conditions, rather than one-off results.

The sequence of processing one recommendation

  1. Collection of data on the current state of the portfolio and relevant market indicators.
  2. Real-time risk analysis and comparison with defined stability thresholds.
  3. Generation of a recommendation for alignment, with a clear explanation of the change.
  4. The user reviews and confirms the recommendation before execution.
Methodology

Transparency instead of user recommendations

Instead of ratings and testimonials, we explain what the decision consists of. Each recommendation can be traced back to the specific input data and the rule that triggered it.

Data sources

  • Market indicators of volatility and liquidity
  • Historical data on price movements of instruments in the portfolio
  • Macroeconomic indicators relevant to the assigned asset class
  • Parameters that the user enters when setting up a risk profile

Decision logic

  • Each recommendation contains a stated reason and level of assessed risk
  • The model compares the current allocation with a defined stability goal
  • Deviations above the threshold automatically generate a reconciliation proposal

Security protocols

  • The priority is to preserve capital, not to aggressively seek excess returns
  • All allocation changes are limited by the upper daily exposure threshold
  • The user always confirms the execution before the transaction is executed
Using the platform

Three steps, without technical obstacles

The interface is deliberately simplified. Each decision remains under the control of the user, with a clear insight into the reason for each recommendation.

01

Profile setup

The user enters the existing portfolio, the time horizon of savings and the level of acceptable risk. The procedure takes a few minutes and does not require technical knowledge.

02

Algorithm analysis

The system processes the data and proposes portfolio adjustments with a clear explanation, presented in simple language, without financial jargon.

03

Execution without compensation

After confirmation by the user, the transaction is executed without charging a management or execution fee, with a record of the change available in the account history.

Questions and answers

How a fee-free platform actually works

The fee-free model often raises doubts, so here we directly explain the business model and platform limitations.

If the platform does not charge fees, how is it funded?

Operating costs are covered through a high degree of process automation and contractual relationships with partner brokerage houses that execute transactions, which makes the cost per user significantly lower than traditional portfolio management with human supervision of each position.

Does zero fee mean lower security or less attention to the portfolio?

Not. The algorithm assesses risk continuously, in real time, while traditional portfolio management typically involves periodic, less frequent review. The absence of a fee refers to the billing model, not the level of analysis.

Can an algorithm make the wrong recommendation?

That. Each risk model works on the basis of historical and current data and cannot exclude the possibility of error or an unexpected market event. That is why the user always confirms the execution before the change is implemented.

Is investing through Dobitura risk-free?

Not. Any investment involves the risk of loss of value. The system is designed to reduce exposure to sudden falls, but does not eliminate investment risk entirely.

Who is the platform primarily intended for?

Users who want to manage retirement savings at a low cost and clear insight into the logic of decisions, without the need for daily market monitoring.

Formal note: Dobitura is not an investment advisor in the sense of providing individualized recommendations outside the framework of an algorithmic model. Investment involves the risk of losing part or all of the invested capital. Past model results are not a reliable indicator of future returns. All numerical examples on this page are illustrative and serve only to explain the methodology.

Secure your pension today

Time spent out of the market or under high fees is not recoverable — every year of delay means a smaller base for future interest returns.

No hidden fees The charging model is publicly explained and does not include fees for managing or executing transactions.
Data stored in the EU Infrastructure and data processing take place in accordance with the European regulatory framework for data protection.
User supervision over execution Each recommendation of the algorithm requires user confirmation before the transaction is executed.