CENTIREINGS Zcash Market Segmentation & Comparative Intelligence

Community Grants Applications
1

Hello Zcash community,

We are seeking support to extend an existing quantitative cross-asset research framework into a Zcash-specific market-segmentation and comparative-intelligence resource.

A little context on where CENTIREINGS stands today.

CENTIREINGS has already completed and frozen EXP300-B, a quantitative benchmark covering 20 major cryptoassets under one common methodology, including ZEC. That prior work provides the methodological baseline, reproducibility controls, threshold-level market profiles, recurrence analysis, and comparative structure needed for this proposal.

The grant would not fund EXP300-B retroactively. Instead, we are requesting support for new Zcash-specific work:

  • controlled reproduction and validation of the historical ZEC profile;
  • explicit stability and uncertainty analysis;
  • positioning ZEC within the complete 20-asset comparative universe;
  • testing whether ZEC’s observed classification remains stable using later, post-period evidence;
  • comparison with both privacy-focused and non-privacy-focused assets without assuming beforehand that they should behave alike;
  • publication of a reproducible ZEC Market Segmentation Map, research report, visualizations, methodology, limitations, and public research materials.

One of the central questions is simple:

Where does ZEC sit within a reproducible quantitative segmentation of major cryptoassets, and how stable is that position when tested against later market evidence?

The research is deliberately neutral. A successful project does not require ZEC to rank favorably, form a unique behavioral family, or behave similarly to other privacy-focused assets. A result showing similarity, difference, instability, or inconclusiveness would all be scientifically valid outcomes if supported by the evidence.

We also explicitly distinguish physical market behavior from investment merit. More physical opportunity does not imply greater profitability or operability.

Requested grant amount: USD 22,500
Structure: 3 milestones of USD 7,500

Full Zcash Community Grants application:

We welcome technical, methodological, and community feedback.

1 Like
2

Hi, thanks for sharing this proposal.

I have a question: since the work is mainly analytical and financial, how do you see the results being used within the Zcash ecosystem, and by whom?

Also, is EXP300-B publicly available? It would be interesting to see the existing results.

3

Thanks for the question.

We see the results being useful as a comparative evidence layer for several groups within the Zcash ecosystem.

Researchers and analysts could use the ZEC Market Segmentation Map and documented methodology to understand where ZEC sits relative to a broader set of major cryptoassets under one common framework, and to test whether that position is stable over time.

Zcash ecosystem builders and community members could use the results as a neutral reference when discussing ZEC’s market behavior, especially when comparing privacy-focused and non-privacy-focused assets without assuming in advance that they should behave alike.

Education, strategy, and communications contributors could use the public visualizations and documented findings to distinguish observed market behavior from broader narratives or assumptions about ZEC.

Future researchers could reuse the methodology and reproducibility materials to test later periods, additional venues, or other market dimensions.

We do not see this as a trading-signal or investment-recommendation tool. The main value is to provide a reproducible comparative evidence base for the Zcash ecosystem.

Regarding EXP300-B: it is completed and frozen prior research, but it is not yet publicly released as a finished research package. The existing results are preserved internally with QA and reproducibility controls.

One purpose of this grant is precisely to take the ZEC-relevant portion of that prior work and turn it into a public, documented, independently inspectable resource, while keeping the historical benchmark clearly separated from the new Zcash-specific validation and post-period work funded by the grant.

If useful, I can also share here a concise summary of the existing EXP300-B results specifically related to ZEC, with the appropriate methodological caveats.

Gabriel Alfonso Pinzon Garces

Centireings,

4

Thanks for the clarification. I would love to see those results if you can share a summary of the EXP300-B data that would be very helpful to get a clearer picture.

If I understand correctly, the core goal is essentially to mathematically classify ZEC to see which market “family” or behavior cluster it actually belongs to compared to other major assets, is that correct?

Another question, out of curiosity, what specific metrics or statistical indicators are being used in the framework to map this segmentation?