Public market data
Price, market cap, volume and recent movement data from public market feeds such as CoinGecko can inform the current snapshot.
Methodology & transparency
CoinVett shows AI-assisted assessments based on public data and visible product signals. They are meant to add context and risk orientation — not to replace your own research or act as a personal recommendation.
We combine several public and product-visible inputs. The mix can differ by asset and by data availability.
Price, market cap, volume and recent movement data from public market feeds such as CoinGecko can inform the current snapshot.
We also consider basic asset context that is visible on the platform, such as category, size, recent narrative shifts or comparable market behaviour.
Where available, security signals from smart contract scanners can add risk context, for example around contract setup or warning flags.
Analyses may incorporate historical patterns and current signals that CoinVett already shows in the product. Not every signal is available for every asset.
For Bitcoin, valuation metrics such as MVRV, NUPL, realized price and SOPR are compiled via the Bitcoin Research Kit (MIT license). The preferred source is a self-hosted Bitcoin full node; when none is reachable, the public instance of the same open-source software (bitview.space) supplies the data. The source is recorded per measurement and shown next to the figures. The same source also supplies address-based holder cohorts: the combined BTC balance of all addresses within a size bracket (for example 1,000–10,000 BTC) and its 30-day net change. These cohorts are address-based, not entity-based — exchange and custody wallets are included, and one person can hold many addresses.
The output is a compact summary, not a verdict. These elements are best read together:
A rating is a data-based classification of the current setup. It is not an instruction to buy, sell or hold.
Confidence reflects how certain the model is given the current data situation. It does not promise an outcome or future performance.
The timestamp shows when the analysis was last created or refreshed. Older analyses may miss newer developments.
These text blocks summarize signals the model considered relevant. They can be useful cues, but not certainty.
Analyses do not refresh because of a single hidden rule. Typical triggers can include:
Fresh market or product data can change the picture and lead to a new assessment.
Noticeable price or market changes may trigger a refresh when the current analysis no longer fits the latest conditions.
If visible inputs or related context shift, the model may reevaluate the asset from that updated starting point.
Some updates happen as part of scheduled product pipelines. That does not mean every move is captured immediately.
We want the boundaries to be clear. AI outputs can be useful, but they can also miss the mark.
The model may over- or underweight signals, miss context or phrase an assessment too strongly.
Public feeds and scanners can arrive late, contain gaps or describe a situation imperfectly.
A coin can move against the analysis for reasons the model did not capture. Uncertainty is part of the domain.
A single model output should not be your only basis for a financial decision. Cross-check with other sources and your own risk tolerance.
CoinVett provides information and educational orientation. It does not provide personal financial, investment or tax advice.
Nothing on this page or in AI-generated analyses should be understood as regulated advice.
The content is not tailored to your goals, holdings, time horizon or risk profile.
Before acting, review primary sources, understand the asset and verify the data yourself.
If you trade or invest, you do so based on your own judgment and risk tolerance.
This content was created with the assistance of generative AI. Learn more
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