The problem
The capital market is flooded with information, not insights
- 01 The noise of information from dozens of sources that change daily and is difficult to filter without technical knowledge.
- 02 Emotional decision-making under the pressure of short-term news, often at the expense of long-term strategy.
- 03 Signals that arrive late, when the favorable moment for reaction has already passed.
The solution
Predictive models turn noise into precise signals
Algoris Dobitak uses predictive analytics to process price movements, trading volume and macroeconomic indicators in real time. Instead of raw data, the user receives a concrete proposal with an explanation of the basis for that proposal.
Portfolio optimization is carried out continuously, taking into account the ratio of expected return to assumed risk, and not just the past performance of an individual stock.
A model that adapts
Algorithms are regularly calibrated based on new market data, thus reducing signal obsolescence typical of static analyses.
How it works
Transparency starts with the process, not just the results
Each recommendation the user sees has a clear path from data to conclusion. There is no step that is based on a guess or intuition.
Aggregation of data
The system collects real-time data on prices, volume, liquidity and relevant macroeconomic factors from multiple market sources in parallel.
AI processing
Predictive models analyze patterns in data and estimate the likelihood of different price movement scenarios, continuously checking for accuracy.
Actionable insight
The result of the processing is translated into a specific action proposal, with an explanation of the key factors that influenced that recommendation.
Daily reports
You never have an unclear picture of the state of your portfolio
Each trading day, the user receives a summary report showing the change in the value of the portfolio, the rationale for each new recommendation and the level of risk that the model took into account on that day.
- Insight into the logic behind each recommendation, not just the final proposal.
- Comparison of daily performance with the relevant market index.
- Archive of previous reports to monitor model consistency over time.
Risk management
Capital preservation is a priority, not a consequence
Before each recommendation, the model estimates not only the potential return, but also the possible loss in an unfavorable scenario. The goal is not maximum return at any cost, but a stable risk-return ratio adapted to the user's profile.
Exposure control
The system limits exposure to an individual stock or sector when volatility exceeds defined limits.
Risk distribution
The recommendations take into account the existing structure of the portfolio, in order to avoid overconcentration on one side of the position.
Continuous audit
Risk parameters are re-evaluated every day, not just during the initial portfolio setup.
For users just starting out, the model applies a more conservative risk profile by default, which can be adjusted only after the user gains experience with the reports and recommendation logic.
Frequently asked questions
Answer before you start
How reliable is AI analysis?
Models are tested against historical data and recalibrated regularly, but no predictive system guarantees the accuracy of future price movements. Reports always show the level of confidence in a particular recommendation.
Can I start with a smaller amount?
Yes. The platform is designed to work with smaller portfolios, with proportional application of the same principles of diversification and risk control.
How often are reports updated?
Reports are generated every trading day, based on data collected until market close.
Is prior stock market experience required?
No. The explanations in the reports are written in such a way that they are comprehensible even to users without previous experience, with definitions of technical terms where necessary.
The next step
Start your analysis today
Sign up for access to the platform and you will receive the first daily report after connecting the portfolio or defining the initial parameters for the analysis.