Altrix Quantum - investment data analysis panel supported by artificial intelligence

Investment decisions based on data, not on time, which is missing

Altrix Quantum analyzes markets in real time and proposes strategies proven in historical tests, so capital management does not require daily supervision.

Learn the principles of operation
Models tested on historical data Risk minimization mechanisms Full transparency of methodology
Context

The amount of market data is growing faster than the time to analyze it

Parents and professional investors rarely have several hours a day to follow indicators, company reports and market volatility. Manual analysis requires not only time, but also experience in interpreting signals that are often contradictory.

Altrix Quantum takes over this part of the process: it collects data from many sources, organizes it and translates it into specific recommendations that can be evaluated without specialized financial knowledge.

Methodology

How recommendations are made - from data to decisions

Before being entered into the recommendation system, each strategy goes through a process of backtesting on data covering various market cycles, including periods of declines.

Model decision-making process

  1. The model collects market, macroeconomic and sector data from multiple sources in near real time.
  2. The algorithm compares current patterns with historical data covering at least a dozen years of quotations.
  3. The system assesses the risk level of the scenario and adjusts it to the investor's profile.
  4. The recommendation is sent to the user panel along with the justification and confidence level of the forecast.
Sample backtest comparison
2015–2019
2020–2022
2023–2024

Illustrative visualization illustrating how test results are presented in the panel - it does not constitute a forecast of future results.

Transparency

Why we show model assumptions and not just results

In Altrix Quantum, each user has access to a description of the methodology behind the recommendation: what data was taken into account, during what period the strategy was tested and what its limitations were.

This approach allows you to consciously assess whether a particular strategy fits your individual financial situation, rather than relying solely on trusting a black box.

Altrix Quantum - Analytical team working on predictive models
Benefits

Management without daily supervision, but with maintained control

Automation in Altrix Quantum does not mean making decisions without insight into the process. It means transferring repeatable analysis to the system, while maintaining full visibility of activities.

01

Working in the background

The system monitors indicators and market conditions at all times, reporting only situations that require the user's attention.

02

Risk minimization

Each recommendation contains a specific level of risk exposure, tailored to the declared investor profile.

03

A coherent strategy

Decisions are based on a single, tested process, not on ad hoc reactions to individual news stories.

04

Saves time

Analysis that would take hours to complete manually is available in the dashboard, ready for review in minutes.

05

Decision history

A complete record of previous recommendations and their effectiveness allows you to assess the quality of the model over time.

06

Scalability

The same analytical mechanisms support both individual portfolios and more complex multi-asset class strategies.

Applications

Specific situations in which the model works without intervention

Rebalancing your portfolio after a sharp market change

After a sudden increase in volatility, the system compares the current allocation with the assumed risk profile and proposes adjustments to the shares of individual asset classes before the deviation becomes significant.

Expected effect

Maintaining compliance with the risk profile

Correction proposed within hours, not weeks, of a market event.

Evaluating a new investment opportunity against historical patterns

When a new instrument or trending sector emerges, the model examines how similar patterns have performed in the past before recommending it for inclusion in the portfolio.

Expected effect

A decision based on data, not on media trends

The recommendation includes a comparison with at least one analogous historical period.

Limiting exposure in times of increased uncertainty

In response to macroeconomic signals indicating higher systemic risk, the model may propose a temporary increase in the share of lower volatility assets.

Expected effect

Limitation of the maximum capital drawdown

Acting in accordance with the risk parameters established at the beginning of the cooperation.

Questions and answers

FAQs about models and data security

What exactly is backtesting and why does it matter?

Backtesting is the process of checking how a strategy would have performed in the past if it had been applied to historical market data. This allows you to evaluate the model's performance under various conditions, including periods of decline, before the strategy is released to users.

Do historical results guarantee similar results in the future?

NO. Backtesting shows how a model has performed in the past, but is not a guarantee of future performance. Therefore, Altrix Quantum also presents volatility ranges and negative scenarios, not only best cases.

How does the system assess the level of risk for a specific user?

The risk profile is determined based on the declared investment horizon, tolerance for fluctuations in the portfolio value and financial goal. Recommendations are adjusted to these parameters and can be updated as the user's situation changes.

Is your financial data processed securely?

The data used for analysis are processed in accordance with applicable personal data protection regulations. Detailed information on the scope of processing can be found in the regulations and privacy policy available in the footer of the website.

Is it possible to check why the system issued a given recommendation?

Yes. Each recommendation contains a description of the main factors that influenced its generation and a reference to the previously tested historical scenario.

Check what the analysis based on backtesting looks like

The introductory conversation lasts approximately thirty minutes and allows you to assess whether the Altrix Quantum approach suits your financial situation and investment horizon, without obligations.