The Three Core Metrics of X Insight
1. Social Sentiment Index (SSI) - The Market Thermometer 🌡️
Definition: A comprehensive score (0-100) that evaluates a cryptocurrency's social activity and sentiment on Twitter.
- 0 - 30: Cold. Low interest and engagement.
- 30 - 70: Normal. Stable and moderate interest.
- 70 - 100: Hot. High interest and significant attention.
Weight Distribution:
- 📊 Social Activity (40 pts): Measures current discussion volume against historical levels.
- 😊 Sentiment Positivity (30 pts): The ratio and intensity of bullish vs. bearish sentiment.
- 👥 KOL Mentions (30 pts): Mentions by KOLs across different tiers of influence.
2. Market Alert Ranking (MPR) - The Anomaly Detection Radar 📡
Definition: Identifies anomalous social signals. A higher rank (e.g., #1, #2) indicates a stronger signal.
Three Detection Dimensions:
- 🚨 Social Anomaly: The degree to which discussion volume deviates from the norm.
- 🎭 Sentiment Polarization: The degree of extremity and consensus in market sentiment.
- 🔄 KOL Attention Shift: Attention from new, high-impact KOLs.
3. KOL Consensus - The Expert Opinion Barometer 🎯
Definition: Quantifies the level of agreement among top-tier KOLs on a scale of 0-100%.
- ≥70%: High Consensus. Opinions are convergent.
- 40-70%: Moderate Consensus. Some disagreement exists.
- ≤40%: Low Consensus. Opinions are divided and contested.
Engagement Metrics
Each tweet displays three key engagement metrics:
- Likes: Indicates agreement or approval.
- Retweets: Indicates amplification and reach (this metric is weighted more heavily).
- Replies: Indicates the level of discussion and active debate.
High engagement typically means the viewpoint has garnered significant market attention. However, it is crucial to note:
- High engagement does not necessarily validate the correctness of the viewpoint.
- Controversial content can also generate high engagement.
- It is recommended to assess the information in conjunction with the KOL's tier and the quality of the content.
Interpreting Metrics in Combination
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Scenario 1: Convergent Signal
- SSI: High (>70)
- MPR: Low Rank
- KOL Consensus: High (>70%)
- Interpretation: The market shows high interest and strong agreement, indicating a relatively clear trend.
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Scenario 2: Divergent Signal
- SSI: High (>70)
- MPR: High Rank (#1-3)
- KOL Consensus: Low (<40%)
- Interpretation: Social activity is anomalous, yet expert opinions are highly divided. This situation requires careful judgment.
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Scenario 3: Early Signal
- SSI: Moderate (40-60)
- MPR: Sudden increase in rank
- KOL Consensus: In flux / changing
- Interpretation: This could be the early stage of a new trend and warrants close attention.
How the Metrics Are Calculated
SSI Calculation Method
- Social Activity: Based on a comparison of current mention volume to its 7-day average.
- Sentiment Positivity: Calculated using a weighted five-level sentiment scale (from "very bullish" to "very bearish").
- KOL Mentions: A weighted score based on mentions from KOLs of different tiers.
MPR Calculation Method
- Social Anomaly: Uses a Z-score to measure the deviation of mention volume from the norm.
- Sentiment Polarization: The product of sentiment extremity and uniformity.
- KOL Attention Shift: The number of new high-impact KOLs that have recently started engaging with the coin.
KOL Tiering Criteria
The tiering process is fully automated and based on objective data, with no subjective judgment involved.
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Formula:
$$ \text{Influence Score} = \text{Follower Score (30%)} + \text{Engagement Score (40%)} + \text{Impression Score (30%)}$$
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Detailed Calculation:
- Follower Score: A logarithmic calculation based on the total follower count.
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Engagement Score:
(Likes + (Retweets × 3) + (Replies × 2)) / Number of Tweets / Follower Count -
Impression Score:
Average Impressions / Follower Count
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Automatic Tiering:
- S-Tier: 85-100 (Top-Tier Influence)
- A-Tier: 70-84 (High Influence)
- B-Tier: 55-69 (Medium Influence)
- C-Tier: 40-54 (General Influence)
This objective calculation method ensures the fairness and comparability of the tiering system.




