Detailed Description of the 18 Sentiment Parameters
Market Blade’s sentiment analysis engine distills 36 behavioral precursor parameters into 18 key sentiments, each representing a distinct emotional and behavioral driver within the cryptocurrency community, particularly on platforms like X. These sentiments are conceptualized as “value buckets,” capturing the depth and influence of social media impressions—often conveyed in limited words—while unlocking actionable insights for traders. Each sentiment is scored on a 0–50 scale, reflecting its intensity and relevance, and tracked over time to reveal wave-like patterns that predict market behavior. Below is a detailed breakdown of each sentiment, grounded in the platform’s interdisciplinary approach to storytelling, affective neuroscience, and group dynamics.
Personal
Definition: Indicates whether an impression is tied to the author’s personal stake or perspective. A low score reflects a detached observer, offering judgment without vulnerability, while a high score signals early engagement, setting the stage for potential action (direct or opposing).
Trading Insight: A low personal score suggests empty media or wasted attention (e.g., generic ads), while a high score hints at emerging individual investment or skepticism, potentially leading to trades.
Core Question: When will this attention turn into action? Timing is critical for predicting trader behavior.
Group
Definition: Measures the author’s connection to a cultural or tribal context, reflecting their role as a chaotic agent or community member. High scores indicate emotionally charged language, visuals, or background that distinguish the impression from generic noise, signaling a “bet” on community alignment.
Trading Insight: Low group scores flag unstable or disengaged projects, while high scores suggest strong community support, driving volatility or sustained interest.
Core Question: Is this a tribal signal or isolated noise?
Identified
Definition: Assesses the uniqueness of an impression, distinguishing authentic, nuanced voices from paid influencers or generic content. High scores indicate personal artifacts and commitment to consequences, while low scores suggest interchangeable, low-value noise.
Trading Insight: High identification signals influential actors ready to act, boosting market signals; low scores warn of manipulation or spam, reducing reliability.
Core Question: Is this a unique voice or just echo chamber fodder?
Experiential
Definition: Evaluates whether an impression reflects real, traceable actions or abstract, unverified thoughts. High scores highlight tangible, unfakeable events (e.g., project launches), while low scores indicate speculative or virtual noise.
Trading Insight: Experiential signals are gold for traders, predicting real market moves; low scores suggest unreliable hype, best ignored.
Core Question: Is this grounded in reality or just wishful thinking?
Contrast
Definition: Captures the human tendency for storytelling through polarization, using “yes, but…” dynamics to check reality. High scores reflect balanced critique or tension, while low scores indicate one-dimensional narratives.
Trading Insight: Contrast reveals market skepticism or optimism, guiding traders to assess risk; low contrast may signal blind hype or despair.
Core Question: Does this balance hope and doubt, or oversimplify?
Sentiment
Definition: The simplest emotional polarity—hope versus despair—processed through storytelling, not literal text. High scores suggest optimism driving action, while low scores indicate fear or resignation.
Trading Insight: Positive sentiment spurs buying, negative sentiment triggers sells; the AI simulates emotional impact to predict outcomes.
Core Question: What’s the underlying emotional story, beyond the words?
Reasonable
Definition: Gauges logical, reality-rooted statements free of emotional extremes. High scores signal stability, while spikes (high or low) warn of clouded judgment and impending market risks.
Trading Insight: High reasonability indicates a solid project; volatility suggests trouble ahead, prompting caution or short-term trades.
Core Question: Is this grounded in logic, or driven by emotion?
Focus
Definition: Measures whether an impression targets specific, actionable topics (e.g., protocol architecture) or dilutes into vague noise. High scores reflect clarity, low scores signal distraction.
Trading Insight: Focused content drives confidence and trades; unfocused noise dilutes signal, risking investor disinterest.
Core Question: Does this zero in on value, or scatter aimlessly?
Eventful
Definition: Tracks the presence of real or narrative-driven events, as markets thrive on bursts of activity. High scores indicate volatility and opportunity, while low scores suggest stagnation.
Trading Insight: Eventful signals drive trades and price swings; low eventfulness warns of inactivity, reducing market interest.
Core Question: Are events fueling action, or is this just talk?
Emotional
Definition: Measures emotional intensity as a marker of tribal unity. High scores reflect volatile, interconnected communities, while low scores indicate private, slow-moving groups.
Trading Insight: Emotional communities act fast, driving quick trades; dry groups move slower, requiring patience or event triggers.
Core Question: Is this a passionate tribe or a quiet clique?
Actionable
Definition: Assesses direct, clear calls to action with reasoning and context. High scores signal trust and urgency, while low scores indicate ambiguity or noise.
Trading Insight: Actionable content boosts engagement and trades; vague signals waste time, lowering confidence.
Core Question: Does this demand action, or leave me guessing?
Educational
Definition: Evaluates instructions or insights that unify community understanding across cultures and emotions. High scores enhance stability, while low scores spread confusion or mistrust.
Trading Insight: Education fosters long-term trust and growth; conflicting advice risks fragmentation, hurting projects.
Core Question: Does this clarify, or confuse the crowd?
Authenticity
Definition: Checks the author’s genuine involvement, past posts, and personal stake. High scores reflect deep commitment, while low scores suggest fleeting interest or impersonation.
Trading Insight: Authentic voices build trust and action; inauthentic ones erode confidence, signaling noise or risk.
Core Question: Is this their passion, or just a passing whim?
Moving
Definition: Tracks narrative momentum—positive for active shifts, negative for stagnant encouragement of others. High scores drive action, low scores signal inertia.
Trading Insight: Moving narratives spark trades; stagnation risks disengagement, lowering market activity.
Core Question: Is this pushing forward, or stuck in place?
Social Value
Definition: Measures public relevance, not just positivity or negativity. High scores widen engagement, while low scores dull attention with irrelevant noise.
Trading Insight: Social value sustains interest and trades; noise restricts participation, weakening projects.
Core Question: Does this grab the crowd, or fade away?
Futuristic
Definition: Assesses focus on foreseeable future events versus past reflections. High scores predict volatility, while low scores waste time on irrelevant history.
Trading Insight: Future-oriented signals drive proactive trades; past-focused noise misses opportunities, frustrating investors.
Core Question: What’s coming next, or just rehashing old news?
Context Value
Definition: Evaluates impressions that enrich narrative depth, unifying perspectives. High scores signal team performance, while low scores spread misleading noise.
Trading Insight: Contextual value strengthens confidence and strategy; misleading noise undermines trust, risking losses.
Core Question: Does this deepen understanding, or confuse?
Mystique
Definition: Captures the primal, intuitive sense of something brewing behind the scenes, driven by dynamic interplay of experience, authenticity, groups, and events. High scores fuel wild bets and life-changing returns, while low scores lack intrigue.
Trading Insight: Mystique signals high-risk, high-reward opportunities; low scores suggest predictable, low-volatility scenarios.
Core Question: Is there magic in the air, or just routine?
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