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Dorobkizna - AI-powered investment analysis panel
Predictive analysis for individual investors

Don't predict the market. Let the algorithms find the optimal moment

Dorobkizna analyzes market data in real time and automatically divides your capital into tranches, selecting entry points according to the cost averaging (DCA) model. Decisions are based on data, not emotions.

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Panel preview: deposit schedule, portfolio risk indicator and recommended entry windows updated based on current market data.

Strategy comparison 12 months
Emotional inputs Algorithmic inputs
Problem and solution

Most losses result from the timing of entry, not the selection of the asset

Beginner investors often buy on a rally and panic when it falls. This pattern, known as emotional investing, systematically lowers the average purchase cost compared to systematic methods.

Dorobkizna replaces intuition with a statistical model. The system spreads payments over time and adjusts the tranche size based on volatility indicators, rather than reacting to headlines or fluctuations in market sentiment.

  • Automatic deposit schedule based on DCA rule
  • Dynamic adjustment of tranche size at high volatility
  • Full decision history available for viewing at any time
About the platform

One place to analyze data and make investment decisions

Dorobkizna was created as a tool combining the analysis of large sets of market data with a simple decision-making interface. The platform does not promise above-average profits - it only reports what results from the model and historical data.

Each recommendation includes justification: volatility level, medium-term trend and portfolio risk indicator, so you see not only the result, but also the logic that led to it.

Learn about the methodology
Dorobkizna - a team of analysts working on predictive models
Technology

Three layers of analysis behind every decision

Models do not work in isolation. The data goes through three stages of processing before the system generates a specific tranche recommendation.

01

Predictive analysis

Statistical models analyze historical price, volume and volatility data to estimate the likely price range over the short term. The result is a range, not a point forecast.

02

Risk assessment

The system assigns a risk rating to each tranche based on correlation with the rest of the portfolio and current market volatility, limiting exposure during periods of increased uncertainty.

03

Real-time optimization

The payment schedule is recalculated on an ongoing basis. If market conditions change significantly, the next tranche is adjusted instead of being implemented according to a fixed, rigid calendar.

How it works

From linking your account to the first automatic tranche

The commissioning process does not require technical knowledge. Below are three steps that separate you from your first automated investment decision.

Step 1

Account integration

You connect your brokerage account or investment portfolio using a secure API connection, without transmitting your login details in plain sight.

Step 2

Data analysis

The algorithm assesses the risk profile, investment objectives and selected instruments, and then proposes a cost averaging schedule tailored to market volatility.

Step 3

Execution of tranches

The system automatically executes orders within designated time windows, and each decision is recorded in the history with a description of the reasons that led to it.

Security and transparency

Technical fundamentals you can verify

Data encryption

Connections to external accounts and APIs use TLS encryption, and authentication data is stored in an encrypted form, separated from analytical data.

Algorithm integrity

The model does not modify its decision logic based on individual user transactions. Parameters are updated periodically, based on aggregated market data.

API calls

Integration with a brokerage account takes place through an authorized connection with a limited scope of permissions - the platform does not have access to withdraw funds to external accounts.

Frequently asked questions

Technical and financial questions from Polish users

How does the deposit automation logic work?

The system divides the committed capital into tranches according to the cost averaging (DCA) rule, and then adjusts the size and timing of each tranche based on the current volatility analysis. The schedule is visible in the panel before each implementation.

Are my funds safe?

Dorobkizna does not store investment funds - they are handled by your brokerage account or wallet to which the platform is connected. Integration takes place via API with a limited scope of permissions, without the possibility of withdrawal to other accounts.

What technical requirements must my account meet?

You need a brokerage account or wallet that supports an API connection consistent with the standard used by the platform. The list of currently supported providers is available after logging in, in the integration section.

Start by testing the model on your own data

Connecting your account takes a few minutes, and you receive the first tranche schedule immediately, along with a full justification of the adopted risk parameters.

Run the analysis

Account configuration does not require providing payment card details.