Hello everyone,

We’ve noticed that people who reach out to us generally fall into two distinct groups.

The first group consists of traders and market participants who are interested in improving their understanding of the data we publish and exploring how it may be applied in their own workflows. Most of our public communication is designed with this audience in mind.

There is also a second, much smaller group — individuals who approach us with a deeper technical curiosity, trying to understand the underlying structure, logic, or methodology behind the system.

We respect that perspective.

Those who belong to this group usually don’t need explanations in the traditional sense. They recognize patterns, consistency, and statistical behavior directly from observed results. For them, numbers are not marketing — they are signals of structure.

At the same time, we want to be clear about one important point.

All publicly available materials — whether on this website, forums, or social platforms — are intentionally structured and selectively disclosed. They are designed to help interpret observable results, not to expose internal architecture or proprietary mechanisms.

For this reason, requests aimed at uncovering “how it works internally” will remain unanswered in that context.

However, there is a meaningful distinction between curiosity and collaboration.

Such conversations are approached differently: directly, respectfully, and with a clear understanding of mutual value.

We believe that real collaboration is built not on extracted information, but on aligned incentives and complementary expertise.

It is also worth noting that any evaluation of the system should be based on independently verifiable data and observed behavior over time, rather than isolated outcomes or short-term fluctuations.

If you see potential for cooperation — we are open to proposals.

You can reach out through the contact channels listed on the website.

We genuinely value communication with those who approach the subject thoughtfully and professionally.

One final note.

Interpreting structured data, performance tables, and statistical outputs is not always straightforward. Different observers draw different conclusions.

But for those who are used to working with data at a deeper level, the implications are usually clear.

If you are among them, we believe there is room for a meaningful conversation.

Thank you.