Share of asset-specific discussions in crypto media relative to the broad market, their importance and sentiment
Indicator Appearance
Social dominance total is a sentiment analysis indicator that displays, comparing the social volume of this asset to the combined social volume of the top 100 assets by market capitalization.
<aside> 💡 A 50% social dominance of an asset means that the number of posts/posts discussing that asset is equal to half the number of posts/posts discussing the top 100 assets by market capitalization.
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Social AI dominance total is calculated using machine learning algorithmsthat analyze the content of posts and determine their impact on market sentiment. Thus, Social Dominance AI more accurately reflects the degree of influence of a particular user group on the market.
Social volume total is a sentiment analysis indicator that displays the total number of mentions on media resources of a selected crypto asset.
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💡 Examples of documents are Telegram messages and Reddit publications. If a single short Telegram post contains the word gurto
more than
once, this post will increase the social volume of the wordcrypto 1. If a long Reddit post contains the wordcrypto10
times, this will again increase the social volume of the wordcrypto
1.
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Sentiment balance total is a sentiment analysis indicator that displays the sentiment of the masses regarding an asset. Positive sentiment is colored green, negative sentiment is colored red.
Sentiment negative total - sentiment analysis indicator, which shows the negative sentiment of the masses concerning the asset.
Sentiment positive total - sentiment analysis indicator, which shows the positive sentiment of the masses about the asset.
In the chart settings window, the user can select the display colors and transparency of the indicator and the zero line.
Indicator chart settings
The indicator is available on all subscription versions.
Sentiment models allow a trader to quickly and most importantly quantitatively (!) assess the significance and quality of the news background, save time on data analysis and get a time advantage over other participants.