View performance log

AI analysis platform for capital markets

Automated decision optimization based on verified market data

Natrovex continuously evaluates market data and translates the results into understandable recommendations. Every analysis is logged and publicly documented so that you can check the quality of the models yourself before making a decision.

View performance log now View analysis method
Validation levels per signal 3
Protocol update daily
Access to performance log public
Natrovex analysis team checking validation protocols

About the platform

Designed for traceability rather than promises

Natrovex was developed with the aim of making every analysis decision documentable. Instead of individual buy signals, users get access to the complete derivation, including the models that contributed to a recommendation.

The interface is aimed at people with no prior experience in programming or quantitative analysis. Technical complexity is reduced to the key figures relevant to a decision.

Initial situation

Complexity as a barrier to access

Private investors without prior technical knowledge typically face three hurdles: The amount of available market data exceeds the capacity of manual analysis. Suitable analysis tools are usually reserved for institutional teams. Additionally, emotional decisions also distort carefully planned strategies.

Natrovex shifts data evaluation to an automated system and makes the results usable regardless of previous technical knowledge - through structured protocols instead of individual recommendations without derivation.

24/7 Continuous market observation without additional manual effort
  • Lack of time for permanent market observation
  • No access to institutional analysis tools
  • Unclear traceability of one's own decisions
  • Emotional bias in manually made strategies

Methodology

How the analysis engine comes to a recommendation

The process is divided into four steps. Every step is recorded so that the derivation of a recommendation can be verified afterwards.

  1. 01

    Data collection

    Price, volume and volatility data from publicly available market sources are continuously imported and checked for consistency.

  2. 02

    Model analysis

    Several independent models evaluate the data in parallel and each generate a preliminary assessment of direction and risk.

  3. 03

    Validation protocol

    Differing assessments between the models lead to a recalculation. Only matching results are released.

  4. 04

    Logging

    The approved recommendation is published in the performance log with a time stamp, justification and risk range.

Verification protocol

Each published recommendation is compared against historical pattern comparisons before it becomes visible in the performance log. The community can subsequently compare each entry with the actual market development. Deviations are not removed, but marked with status.

Performance log

Publicly viewable and community-audited logs

Every signal that passes the validation stage is recorded in the log - regardless of the result. The following illustration shows the structure as an example.

Example representation of the protocol format
DateModulesignalResultstatus
04.03.Trend model ALong+1.8%Verified
07.03.Volatility Model BNeutral0.0%Verified
11.03.Trend model AShort−0.6%Deviation checked
03/15Pattern Recognition CLong+2.3%Verified

Hit rate by module (example visualization)

The values presented serve to illustrate the protocol format and do not represent a promise of future results. Historical data does not allow any conclusions to be drawn about future developments. The complete, continuously updated protocol can be viewed after registration.

Benefit

What logging means for your decision

Traceability

Each recommendation is documented with a time stamp and justification and remains visible in the log - even in the event of a deviation.

Time saving

Continuous market monitoring is no longer necessary. Recommendations only appear after validation has been completed.

Risk limitation

Each signal contains a risk range that can be transferred to position size and stop levels.

Scalability

The analysis works independently of the capital used and remains consistent as the data volume grows.

Risk management as a basic principle

Each recommendation is published together with a risk range, not as an isolated buy or sell statement. Users determine position size and stop level independently; the protocol provides the basis for analysis, not the execution.

Frequently asked questions

Decision support before registration

Do I need programming or financial knowledge?

No. The interface shows recommendations including reasons in an understandable form. No prior technical knowledge is required for use.

What costs arise when using it?

Viewing the performance log is possible without investing any capital. Costs for individual functional levels are shown transparently before registration.

How frequently are the logs updated?

New entries are automatically added after the respective validation level has been completed. Existing entries will not be subsequently removed.

Can I adapt the analysis to my own strategy?

The risk range per recommendation can be transferred to the individual position size. Automated order execution is not part of the platform.

What happens if a recommendation differs from the actual market trend?

Deviations are marked in the log with the appropriate status and remain visible. The affected model is checked based on this deviation.

We will answer further questions via the Contact page.

Check the protocols before deciding

Access to the performance log does not require any capital commitment or technical preparation. Registration is completed in just a few minutes.

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