Positive/Negative Sentiment Metrics

The Sentiment Positive and Sentiment Negative metrics represent the sum of Sentiment Score values.

• sentiment_positive_<source> metrics are computed by taking the sum of the positive sentiment scores that are over 0.7.
• sentiment_negative_<source> metrics are computed by taking the sum of the negative sentiment scores that are over 0.7.
• sentiment_balance_<source> metrics show the difference between sentiment_positive_<source> and sentiment_negative_<source>.

List of available sources

There are 10 messages in telegram that mention bitcoin. Below is a table that shows the sentiment scores of those 10 messages. The messages with the same sentiment score are grouped together (messages count bigger than 1).

Using this data we can compute:

• sentiment_positive_telegram: $3 * 0.7 + 2 * 1.0 = 4.1$
• sentiment_negative_telegram: $3 * 0.8 = 2.4$
• sentiment_balance_telegram: $4.1 - 2.4 = 1.7$

Restricted Access

Sum of sentiment scores

Timeseries Data

Five-Minute Intervals

Social Data Latency

Change Metrics:

• sentiment_balance_total_change_1d
• sentiment_balance_total_change_7d
• sentiment_balance_total_change_30d

All metrics have the same set of available assets

Fetch timeseries data for sentiment_positive_total for a single asset:

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{
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  getMetric(metric: "sentiment_positive_total") {
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    timeseriesDataJson(
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      slug: "ethereum"
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      from: "utc_now-90d"
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      to: "utc_now-30d"
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      interval: "7d"
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    )
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  }
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}

Fetch timeseries data for sentiment_negative_telegram for multiple assets at the same time:

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{
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  getMetric(metric: "sentiment_negative_telegram") {
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    timeseriesDataPerSlugJson(
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      selector: { slugs: ["ethereum", "bitcoin"] }
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      from: "utc_now-60d"
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      to: "utc_now-55d"
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      interval: "1d"
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    )
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  }
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}

Fetch aggregated daily values for many assets:

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{
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  allProjects(page: 1, pageSize: 50) {
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    slug
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    sentimentPositive: aggregatedTimeseriesData(
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      metric: "sentiment_positive_total"
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      from: "utc_now-7d"
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      to: "utc_now"
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    )
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    sentimentNegative: aggregatedTimeseriesData(
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      metric: "sentiment_negative_total"
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      from: "utc_now-7d"
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      to: "utc_now"
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    )
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    sentimentBalance: aggregatedTimeseriesData(
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      metric: "sentiment_balance_total"
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      from: "utc_now-7d"
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      to: "utc_now"
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    )
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  }
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}

There is an option to get Market Sentiment Positive Negative

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{
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  getMetric(metric: "sentiment_positive_telegram") {
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    timeseriesDataJson(
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      selector: { slug: "crypto_market" }
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      from: "utc_now-60d"
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      to: "utc_now-55d"
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      interval: "1d"
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    )
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  }
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}

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{
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  getMetric(metric: "sentiment_negative_telegram") {
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    timeseriesDataJson(
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      selector: { slug: "crypto_market" }
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      from: "utc_now-60d"
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      to: "utc_now-55d"
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      interval: "1d"
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    )
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  }
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}

The full list of Positive/Negative/Balance sentiment metrics is: