Sentiment Analysis

Market mood and hub psychology indicators

Market Sentiment & Psychology

Sentiment analysis measures the overall attitude of hubs toward the market or specific currency pairs. Understanding market psychology helps hubs anticipate potential reversals and identify trend continuation patterns. Extreme sentiment readings often coincide with market turning points.

Fear & Greed Index

CONTRARIAN INDICATOR

Measures market sentiment from 0 (extreme fear) to 100 (extreme greed). Extreme readings often signal reversals.

Extreme Fear:0-25 (Buy signal)
Extreme Greed:75-100 (Sell signal)
Usage:Contrarian signals

COT Report

INSTITUTIONAL POSITIONING

Commitment of hubs report shows positions of large speculators, commercial hedgers, and retail traders.

Release:Weekly (Fridays)
Data Lag:3 days
Key Metric:Net positioning

Put/Call Ratio

OPTIONS SENTIMENT

Ratio of put options to call options traded, indicating bullish or bearish sentiment in options market.

Bearish Extreme:Above 1.2
Bullish Extreme:Below 0.7
Interpretation:Contrarian indicator

Social Sentiment

RETAIL POSITIONING

Social media and news sentiment analysis tracking retail hub mood and positioning.

Sources:Twitter, Reddit, News
Update:Real-time
Application:Fade retail sentiment

VIX (Fear Index)

VOLATILITY SENTIMENT

Volatility Index measuring market fear and uncertainty. High VIX indicates fear, low VIX suggests complacency.

Normal Range:10-20
High Fear:Above 30
Market Impact:Risk-off sentiment

Daily Sentiment Index

SHORT-TERM MOOD

Daily survey of market participants measuring bullish/bearish sentiment on major currency pairs.

Bullish Extreme:Above 80%
Bearish Extreme:Below 20%
Best Use:Reversal signals

Trading with Sentiment Analysis

Contrarian Signals

  • Extreme fear (VIX > 30, Fear Index < 25) → Potential buying opportunity
  • Extreme greed (Low VIX < 12, Greed Index > 80) → Potential selling opportunity
  • !
    COT extreme positioning → Fade the crowd, follow smart money

Confirmation Signals

  • Combine sentiment with technical analysis for higher probability trades
  • Use sentiment divergences to identify potential trend reversals
  • Monitor sentiment shifts during major news events and market catalysts