nirholas Market Sentiment Analysis
When to use this skill
Use when the user asks about:
- Current overall crypto market sentiment
- Whether the market is greedy or fearful
- Social media buzz around a specific token
- Funding rate analysis for leveraged positions
- Contrarian indicators and crowd positioning
- Whether it's a good time to buy or sell based on sentiment
Sentiment Framework
1. Fear and Greed Index Interpretation
Assess the current state of market fear/greed:
- 0-24 (Extreme Fear): Market is very pessimistic — historically a buying zone for long-term holders
- 25-49 (Fear): Uncertainty prevails — caution warranted but opportunities may exist
- 50 (Neutral): Market is balanced
- 51-74 (Greed): Optimism building — consider taking some profits on winners
- 75-100 (Extreme Greed): Euphoria — historically precedes corrections
Note the trend direction: is fear/greed increasing or decreasing over 7d/30d?
2. On-Chain Sentiment Metrics
Analyze blockchain data for positioning signals:
- Exchange inflows/outflows: Net outflows = accumulation (bullish); net inflows = distribution (bearish)
- Whale activity: Large wallet movements to/from exchanges
- MVRV ratio: Market Value vs Realized Value — above 3.5 historically overheated, below 1.0 undervalued
- SOPR (Spent Output Profit Ratio): Above 1 = holders selling at profit; below 1 = selling at loss
- Active addresses trend: Growing = healthy network activity
- Stablecoin supply ratio: High stablecoin supply relative to BTC market cap = dry powder ready to deploy
3. Derivatives Sentiment
Examine leveraged market positioning:
- Funding rates: Positive = longs paying shorts (bullish crowd); negative = shorts paying longs (bearish crowd)
- Open interest: Rising OI + rising price = strong trend; rising OI + flat price = coiled spring
- Long/short ratio: Extreme readings (>2.0 or <0.5) suggest crowded positioning
- Liquidation levels: Where are large clusters of liquidations? These act as magnets
4. Social Sentiment
Gauge crowd behavior:
- Social volume: Is discussion about the asset spiking? Sudden spikes often precede volatility
- Weighted sentiment: Net positive vs negative mentions
- Influencer positioning: Are major accounts uniformly bullish? Contrarian warning
- Search trends: Google Trends, YouTube views — retail interest proxy
- Community activity: Discord/Telegram member growth and activity levels
5. Contrarian Framework
Apply contrarian logic to extreme readings:
- When everyone is bullish and funding rates are extremely positive, consider reducing exposure
- When social sentiment is deeply negative and funding rates are negative, consider accumulating
- Maximum pessimism often coincides with bottoms; maximum optimism with tops
- This is not a timing tool — extremes can persist longer than expected
6. Output Format
- Overall sentiment: Extreme Fear / Fear / Neutral / Greed / Extreme Greed
- Sentiment trend: Improving / Stable / Deteriorating (vs 7d ago)
- On-chain signal: Accumulation / Neutral / Distribution
- Derivatives signal: Overleveraged long / Neutral / Overleveraged short
- Social signal: Euphoric / Positive / Neutral / Negative / Capitulation
- Contrarian take: What the crowd is likely wrong about
- Actionable insight: Specific suggestion based on the aggregate signal
- Confidence: High / Medium / Low — based on signal agreement