Market Sentiment

Real-time funding rate and price data

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Market Sentiment Score Chart

Market-wide funding sentiment over time

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Multi-Timeframe Momentum

MSS slope analysis across 6 timeframes

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About MSS

What is MSS (Market Sentiment Score)?

The Market Sentiment Score (MSS) is a market-wide indicator that aggregates funding rates across the top 50-100 cryptocurrency perpetual futures contracts, weighted by their open interest. It provides a single metric to gauge overall market sentiment in the derivatives market.

Funding Rate Zones (Percentile-Based)

Extreme Low Funding (≤P5)

Shorts paying longs • Contrarian long opportunity

Low Funding (P5-P15)

Below average rates • Watch for accumulation

Below Average (P15-P35)

Slightly below market average • Monitor for reversals

Neutral (P35-P65)

Balanced funding rates • Normal market conditions

Above Average (P65-P85)

Slightly above market average • Normal bullish positioning

High Funding (P85-P95)

Above average rates • Longs paying premium

Extreme High Funding (>P95)

Longs crowded • High liquidation risk

Enhanced Indicators

  • MSS Slope: Measures the rate of change in funding sentiment across multiple timeframes (1h, 4h, 24h, 3d, 7d, 30d). Positive slope indicates accelerating sentiment, negative indicates deceleration.
  • Sentiment Divergence Index (SDI): Detects divergences between funding rates and price action, highlighting potential opportunities when sentiment and price are misaligned.

Crowd Risk Index (CRI)

CRI quantifies extreme positioning bias in crypto futures markets by combining funding rate sentiment with trader positioning data. It identifies dangerous crowd alignment - when expensive funding costs coincide with extreme one-sided positioning.

6-Level Risk Classification:

Extreme High Risk

Mass liquidation danger

High Risk

Reduce exposure

Elevated Risk

Approaching high-risk zone

Moderate Risk

Balanced positioning

Low Risk

Mild short bias

Extreme Low Risk

Contrarian long setup

💡 Why CRI Matters:

Traditional sentiment indicators miss the positioning component. CRI answers: "Are traders betting the same way as the market is moving?" When everyone's on one side of a crowded boat, even a small wave can capsize it. CRI quantifies that crowd risk.

Example Scenarios:

⚠️
Danger Signal: High funding rates (expensive to be long) + 80% traders are long = High liquidation cascade risk
💡
Opportunity Signal: Negative funding (expensive to be short) + 75% traders are short = Contrarian long setup

Data Sources

MSS is calculated using real-time data from Binance Futures API, including:

  • Funding rates for all USDT perpetual contracts
  • Open interest values in USD
  • Top account long/short ratios (for CRI calculation)
  • Mark price and index price data (for SDI calculation)