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lunarcrush_nft_sentiment

lunarcrush_nft_sentiment by LunarCrush

Dataset Name: lunarcrush_nft_sentiment


Group: altdata
Vendor: LunarCrush
Data Starts at: 2022-03-17 00:00:00
Symbol Set: NFTs
Asset Class: Crypto
Data Update Frequency: intraday

LunarCrush NFT Sentiment Dataset

LunarCrush provides real-time social media data on over 300 NFT collections. We collect and analyze large amounts of data to help uncover meaningful relationships between and among different data points to optimize the decision making process and increase your surface area of confluent trading signals.

Our platform monitors and analyzes millions of real-time, user-generated data points across multiple social media platforms each day, and filters them through our spam-detection and sentiment-classification engines.

We take the heavy lift of real-time, cross-platform social media distillation and leave you with an easily accessible dataset so that you can feed your models with accurate metrics and actionable insight. Our data sets include everything from time-series sentiment metrics to proprietary relative (to the universe of monitored assets) and correlation metrics like Galaxy Score™ and ALTRank™. Some of our more raw feeds include both aggregate and asset-specific social media volume metrics and spam volume.

By collecting and analyzing large amounts of social content, we help uncover meaningful relationships between and among different data points to optimize the decision making process and increase your surface area of confluent trading signals.



Data Contained in this Dataset

Column Type Description
_seq uint Internal sequence number used to keep data rows in order
timestamp string Timestamp of the Data - America/New York Time.
muts uint64 Microseconds Unix Timestamp. An integer representation of a timestamp with microsecond precision that can be compared directly to other timestamps.
symbol string Trading Symbol or Ticker
nfts_id int nfts_id
nfts_name string nfts_name
nft_rank double nft_rank
nft_score double nft_score
nfts double nfts
average_sentiment double Average sentiment of collected social posts
correlation_rank double correlation_rank
discord double discord
floor_price double floor_price
floor_price_usd double floor_price_usd
holders double holders
market_cap double Total available supply multiplied by the current price in USD
market_cap_global double market_cap_global
market_cap_rank double Position/rank of the asset relative to all other supported assets, lower is better
market_dominance double market_dominance
medium double medium
news double Number of news articles published
percent_change_24h_rank double Position/rank of the assets percent change in 24 hours, lower is better (positive percent change)
price_score double price_score
reddit_comments double Number of reddit comments collected
reddit_comments_score double Sum of reddit karma on collected comments
reddit_posts double Number of reddit posts collected
reddit_posts_score double Sum of reddit karma on social posts
sentiment_absolute double Percent of bullish or very bullish tweets
sentiment_relative double Percent tweets that are bullish (excluding neutral in the count)
social_contributors double social_contributors
social_dominance double social_dominance
social_impact_score double social_impact_score
social_score double Sum of followers, retweets, likes, reddit karma etc of social posts collected
social_score_24h_rank double Position/rank of the assets 24 hour social score relative to all other supported assets, lower is best/highest social
social_volume double Number of social posts
social_volume_24h_rank double Position/rank of the assets 24 hour social volume relative to all other supported assets, lower is most volume
social_volume_global double social_volume_global
transactions double transactions
tweet_favorites double Sum of the number of times all collected tweet likes
tweet_followers double Sum of follower count for every tweet collected
tweet_quotes double Sum of the number of times all collected tweets were quoted
tweet_replies double Sum of the number of times all collected tweet reply counts
tweet_retweets double Sum of the number of times all collected tweets were retweeted
tweet_sentiment1 double Sum of tweets classified as sentiment 1 (Very Bearish)
tweet_sentiment2 double Sum of tweets classified as sentiment 2 (Bearish)
tweet_sentiment3 double Sum of tweets classified as sentiment 3 (Neutral)
tweet_sentiment4 double Sum of tweets classified as sentiment 4 (Bullish)
tweet_sentiment5 double Sum of tweets classified as sentiment 5 (Very Bullish)
tweet_sentiment_impact1 double Sum of social score (engagement) of all tweets classified as sentiment 1 (Very Bearish)
tweet_sentiment_impact2 double Sum of social score (engagement) of all tweets classified as sentiment 2 (Bearish)
tweet_sentiment_impact3 double Sum of social score (engagement) of all tweets classified as sentiment 3 (Neutral)
tweet_sentiment_impact4 double Sum of social score (engagement) of all tweets classified as sentiment 4 (Bullish)
tweet_sentiment_impact5 double Sum of social score (engagement) of all tweets classified as sentiment 5 (Very Bullish)
tweet_spam double Number of tweets classified as spam
tweets double Number of tweets collected
unique_url_shares double Number of unique url shares posted and collected on social
url_shares double Number of urls shared and collected on social
volume_24h_rank double Position/rank of the assets 24 hour volume in USD relative to all other supported assets, lower is more volume
volume_crypto double volume_crypto
volume_usd double volume_usd
youtube double youtube


Important Dataset Notes

This dataset is not available for direct online purchase. Please contact sales directly at sales@CloudQuant.com. The data is available through our normal sales department who can provide you with current pricing and a quote for accessing this valuable dataset. This may be due to a number of reasons such as dataset intended use, size of the company (or investment fund) using the dataset, or for simple legal requirements that CloudQuant needs to ensure are in place prior to licensing the dataset to you.