📊 TRADING PERFORMANCE & FEAR AND GREED INDEX (FGI) REPORT – UPDATED 17/04/2026
The statistical data shows that the correlation coefficient between the FGI and Winrate remains low and continues to lean negative (r ~ -0.32). This further reinforces that FGI is not suitable as a tool for forecasting price direction or identifying entry points, but it still has practical value in quantifying position risk. In particular, trading performance generally continues to weaken when market sentiment moves into extreme euphoria, so FGI is better used as an early risk warning signal rather than a signal for expanding profit targets.
Below is a summary of Winrate (WR), the minimum break-even R:R, and the number of recorded days (n) across each sentiment zone for reference:
🤑 Extreme Greed (≥80): WR 40.5% • R:R=1:1.47 • n=25
🤤 Greed (60–80): WR 45.1% • R:R=1:1.22 • n=215
😐 Neutral (40–60): WR 45.6% • R:R=1:1.19 • n=138
😨 Fear (20–40): WR 46.9% • R:R=1:1.13 • n=184
😱 Extreme Fear (<20): WR 52.9% • R:R=1:0.89 • n=92
The share of days with performance above the average level (46.63%) in each zone is:
🤑 Extreme Greed: 8.0%
🤤 Greed: 36.7%
😐 Neutral: 41.3%
😨 Fear: 52.2%
😱 Extreme Fear: 70.7%
➤ Scalping traders can use FGI as a guide to adjust profit expectations when entering trades:
📈 When FGI is high, the profit target should be raised so that the R:R remains large enough to offset the risk of a lower win rate.
📉 When FGI is low, the profit target can be reduced to improve capital turnover and make profit realization easier.