LunarCrush collects 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.
Lunarcrush monitors and analyzes millions of real-time, user-generated data points across multiple social media platforms each day, and filters them through their spam-detection and sentiment-classification engines.
They 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. Their 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 their 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, they 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.
LunarCrush Social Media Sentiment for Cryptos - lunarcrush_crypto_sentiment
LunarCrush provides real-time social media data on over 4000 crypto assets .
LunarCrush Social Media Sentiment for NFTs - lunarcrush_nft_sentiment
LunarCrush provides real-time social media data on over 300 NFT collections.