daily_sentiment
A measure of how positive or negative conversations on Twitter have been about a particular coin over the last 24 hours vs. the previous 20 days. A score above 50 implies that conversations have been more positive over the past 24 hours vs. the last 20 days. A score below 50, more negative.
daily_sentiment_avg_30_days
The average daily sentiment score over the last 30 days.
daily_sentiment_change_7_days
The change in daily sentiment score over the last 7 days as a percentage. For example, if daily sentiment score was 70 and is now 50, the daily sentiment change 7 days would be -0.286 (-28.6%).
daily_sentiment_momentum
The change in daily sentiment score over the last 1 hour. For example, if daily sentiment score changed from 50 to 65, its momentum would be +15.
daily_sentiment_momentum_7_days
The change in 30d average daily sentiment score over the last 7 days. For example, if 30d average daily sentiment score changed from 50 to 65, its momentum would be +15.
hourly_sentiment
A measure of how positive or negative conversations on Twitter have been about a particular coin over the last hour vs. the previous 24 hours. A score above 50 implies that conversations have been more positive over the past hour vs. the last 24 hours. A score below 50, more negative.
hype_to_activity_ratio
Hype-To-Activity™ ratio measures the number of tweets a particular coin has per each $1M in reported trading volume of that coin. High Hype-to-Activity™ Ratios may suggest that a particular cryptocurrency is overhyped in social conversations relative to the amount of trading activity that it has. It is a good metric for identifying outliers or for tracking the number of social conversations a particular coin has relative to its trading volume over time.
Formula: (30 Day Average Tweet Volume / (30 Day Average Trading Volume / 1,000,000))
long_term_sentiment
A measure of how positive or negative conversations on Twitter have been about a particular coin over the last 50 days vs. the previous 200 days. A score above 50 implies that conversations have been more positive over the past 50 days vs. the last 200 days. A score below 50, more negative.
negative_tweets_percent
The percent of tweets that have negative sentiment in the last 24 hours.
neutral_tweets_percent
The percent of tweets that have neutral sentiment in the last 24 hours.
nvtweet_ratio
The NVTweet™ Ratio compares a cryptocurrency's social conversation to its Market Cap. The NVTweet™ Ratio looks at how many tweets a particular coin has per $1M in Market Cap. The lower a coin's NVTweet™ Ratio, the more tweet volume it has per $1M in Market Cap. An increasing NVTweet™ Ratio could suggest that a particular coin's market is becoming increasingly driven by institutional trading. As Market Cap is increasing faster than social volume, this may suggest less retail involvement in the market for a particular coin.
Formula: Market Cap / 1,000,000 / 30 Day Average Tweet Volume
positive_tweets_percent
The percent of tweets that have positive sentiment in the last 24 hours.
relative_tweet_volume
Tweet Volume over the last 24 hours compared to an average of the last 30 days.
Formula: (Tweet Volume / 30 Day Average Tweet Volume) - 1
tweet_volume
The total number of tweets about a particular asset over the last 24 hours.
tweet_volume_30_day_avg
The average daily tweet volume over the last 30 days.
tweet_volume_dominance
The percentage of Tweet Volume this coin accounts for in the entire market. It is interesting to compare this dominance to other dominances, such as Market Cap Dominance or Trading Volume Dominance.
Formula: (Tweet Volume / Total 24hr Tweet Volume of All Coins)
tweet_unique_sources_percent
The percentage of tweets coming from unique accounts. This metric measures tweets over the last 24 hours.
tweet_unique_sources_percent_30_day_avg
The average Tweet Unique Sources Percent over the last 30 days.
Formula: (Tweet Volume / Twitter Accounts)
twitter_accounts
The number of unique Twitter accounts mentioning the asset in the last 24 hours.
twitter_accounts_30_day_avg
The average daily Twitter accounts over the last 30 days.
tweet_volume_1_minute
The number of tweets within the last 1 minute.