📊 TRADING PERFORMANCE & FEAR AND GREED INDEX (FGI) REPORT – UPDATED 28/03/2026
Statistical data shows that the correlation coefficient between the FGI and Winrate remains low and continues to lean negative (r ~ -0.28). This result further reinforces that the 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, overall trading performance continues to weaken as market sentiment moves into extreme euphoria, so the FGI is more useful as an early risk warning signal rather than a signal for expanding profit targets.
Below is a summary of Winrate (WR), minimum break-even R:R, and the number of recorded days (n) across sentiment zones for reference:
🤑 Extreme Greed (≥80): WR 40.5% • Break-even R:R = 1:1.47 • n=25
🤤 Greed (60–80): WR 45.1% • Break-even R:R = 1:1.22 • n=215
😐 Neutral (40–60): WR 45.6% • Break-even R:R = 1:1.19 • n=138
😨 Fear (20–40): WR 46.7% • Break-even R:R = 1:1.14 • n=180
😱 Extreme Fear (<20): WR 51.8% • Break-even R:R = 1:0.93 • n=76
The share of days with performance above the average level (46.27%) in each zone is:
🤑 Extreme Greed: 8.0%
🤤 Greed: 38.1%
😐 Neutral: 41.3%
😨 Fear: 52.8%
😱 Extreme Fear: 71.1%
➤ Scalping traders can use the FGI as a guide to adjust expected profit targets when entering trades:
📈 When the FGI is high, expected profit targets should be increased to ensure the R:R remains large enough to offset the risk of a lower win rate.
📉 When the FGI is low, expected profit targets can be reduced to improve capital turnover speed and make profit realization easier.