📊 TRADING PERFORMANCE & MARKET SENTIMENT INDEX (FGI) REPORT – UPDATED 10/04/2026
The statistical data shows that the correlation coefficient between the FGI and Win Rate remains low and continues to lean negative (r ~ -0.31). This further reinforces that the FGI is not suitable as a tool for forecasting price direction or identifying trade entries, but it still has practical value in quantifying position risk. In particular, trading performance generally continues to weaken when market sentiment moves into extreme optimism, 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 Win Rate (WR), minimum break-even R:R, and number of observed days (n) across sentiment zones 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 46.7% • R:R=1:1.14 • n=180
😱 Extreme Fear (<20): WR 52.8% • R:R=1:0.89 • n=89
The share of days outperforming the average win rate (46.52%) in each sentiment zone:
🤑 Extreme Greed: 8.0%
🤤 Greed: 37.2%
😐 Neutral: 41.3%
😨 Fear: 52.2%
😱 Extreme Fear: 69.7%
➤ Scalping traders can use the FGI as a guide to adjust profit expectations when entering trades:
📈 When the FGI is high, profit expectations should be raised so the R:R remains large enough to offset the risk of declining win rate.
📉 When the FGI is low, profit expectations can be reduced to increase capital turnover speed and make profits easier to realize.
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