Fast answer
Crypto sentiment-signal checks prove what mood metric was used and how it was confirmed.
Before accepting a crypto sentiment signal, record the sentiment source, score or category, timestamp, data inputs, update frequency, confirmation trigger, invalidation, and final status.
If a provider says the market was fearful or greedy but cannot show the source, timestamp, and rule used before entry, the signal is too vague to verify.
Data checks
What to inspect in crypto sentiment signal records.
Metric source
Name the exact index, social source, model, or dashboard behind the sentiment claim.
Timestamp and lag
Sentiment tools can update daily, hourly, or in near real time, so stale readings need labels.
Confirmation rule
The record should show whether price, volume, open interest, news, or technical context confirmed the sentiment input.
Result boundary
Invalidation, update rules, and final close records keep mood calls from becoming open-ended narratives.
Source context
Sentiment indexes compress many inputs into a simple reading.
Alternative.me describes the Crypto Fear and Greed Index as a 0-100 sentiment meter for the Bitcoin market, while CoinMarketCap discusses fear and greed indicators as broad market mood tools. Signal reviews should preserve the exact source and timestamp rather than treating the label as a trading system.
Review standard
A reviewable sentiment signal has a source, trigger, and failure rule.
For CSR evidence review, crypto sentiment records should include the source metric, timestamp, score or category, update interval, confirmation rule, invalidation, follow-up alerts, and final status.