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📊 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.
#TradingStats #MarketInsights $TRX $TON $TRADOOR
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.
#TradingStats #MarketInsights $TRX $TON $TRADOOR
William - Square VN:
That is a very interesting breakdown of market sentiment metrics.
Updated March 28, 2026, community-wide trading data:
📊 The average win rate is 46.27%
🏆 The day with the highest win rate was 2026-01-15 at 74.41%. The day with the lowest win rate was 2026-01-25 at 15.69%
📅 The weekday with the highest average win rate is Wednesday at 46.56%. The weekday with the lowest average win rate is Thursday at 45.65%
⏱️ The highest 7-day average win rate was recorded in the period ending on 2026-01-18 at 62.13%. The lowest was in the period ending on 2025-03-12 at 36.64%
⚖️ The number of days with a win rate above the average is 290. The number of days with a win rate at or below the average is 344
📈 The number of days with a win rate above 50% is 161. The number of days with a win rate from 40% to 50% is 364. The number of days with a win rate below 40% is 109
#TradingStats #MarketInsights $BTS $ETC $SOLV
📊 The average win rate is 46.27%
🏆 The day with the highest win rate was 2026-01-15 at 74.41%. The day with the lowest win rate was 2026-01-25 at 15.69%
📅 The weekday with the highest average win rate is Wednesday at 46.56%. The weekday with the lowest average win rate is Thursday at 45.65%
⏱️ The highest 7-day average win rate was recorded in the period ending on 2026-01-18 at 62.13%. The lowest was in the period ending on 2025-03-12 at 36.64%
⚖️ The number of days with a win rate above the average is 290. The number of days with a win rate at or below the average is 344
📈 The number of days with a win rate above 50% is 161. The number of days with a win rate from 40% to 50% is 364. The number of days with a win rate below 40% is 109
#TradingStats #MarketInsights $BTS $ETC $SOLV
Mia - Square VN:
That is an interesting summary of the community trading data.
Updated on March 28, 2026, community-level trading data:
📊 The average win rate is 46.27%
🏆 The day with the highest win rate was on 2026-01-15 at 74.41%. The day with the lowest win rate was on 2026-01-25 at 15.69%
📅 The weekday with the highest average win rate is Wednesday at 46.56%. The weekday with the lowest average win rate is Thursday at 45.65%
⏱️ The highest average win rate over 7 days was recorded in the period ending on 2026-01-18 at 62.13%. The lowest was in the period ending on 2025-03-12 at 36.64%
⚖️ The number of days when the win rate was above average is 290. The number of days when the win rate was at average or below is 344
📈 The number of days when the win rate was above 50% is 161. The number of days when the win rate was from 40% to 50% is 364. The number of days when the win rate was below 40% is 109
#TradingStats #MarketInsights $BTS $ETC
📊 The average win rate is 46.27%
🏆 The day with the highest win rate was on 2026-01-15 at 74.41%. The day with the lowest win rate was on 2026-01-25 at 15.69%
📅 The weekday with the highest average win rate is Wednesday at 46.56%. The weekday with the lowest average win rate is Thursday at 45.65%
⏱️ The highest average win rate over 7 days was recorded in the period ending on 2026-01-18 at 62.13%. The lowest was in the period ending on 2025-03-12 at 36.64%
⚖️ The number of days when the win rate was above average is 290. The number of days when the win rate was at average or below is 344
📈 The number of days when the win rate was above 50% is 161. The number of days when the win rate was from 40% to 50% is 364. The number of days when the win rate was below 40% is 109
#TradingStats #MarketInsights $BTS $ETC
Update as of 2025-07-05: Community-wide trading performance
• The average win rate is 44.22%.
• The day with the highest win rate was July 3, 2025, at 58.32%, while the lowest was March 28, 2025, at 29.38%.
• Among weekdays, Friday had the highest average win rate at 45.02%, while Monday had the lowest at 43.34%.
• The 7-day period ending on April 27, 2025, had the highest average win rate at 52.18%. The lowest was the 7-day period ending on March 12, 2025, at 36.64%.
• There were 178 days where the win rate was above average, compared to 189 days below average.
• 45 days had win rates above 50%. 245 days fell within the 40%–50% range, and 77 days were below 40%.
#TradingStats #CryptoAnalysis #WinRateTracker
• The average win rate is 44.22%.
• The day with the highest win rate was July 3, 2025, at 58.32%, while the lowest was March 28, 2025, at 29.38%.
• Among weekdays, Friday had the highest average win rate at 45.02%, while Monday had the lowest at 43.34%.
• The 7-day period ending on April 27, 2025, had the highest average win rate at 52.18%. The lowest was the 7-day period ending on March 12, 2025, at 36.64%.
• There were 178 days where the win rate was above average, compared to 189 days below average.
• 45 days had win rates above 50%. 245 days fell within the 40%–50% range, and 77 days were below 40%.
#TradingStats #CryptoAnalysis #WinRateTracker
Update 2026-02-15, community-wide trading data:
🔹The average win rate is 45.74%
🔹The highest win-rate day is 2026-01-15 at 74.41%. The lowest win-rate day is 2026-01-25 at 15.69%
🔹The weekday with the highest average win rate is Saturday at 46.02%. The weekday with the lowest average win rate is Monday at 45.44%
🔹The highest 7-day average win rate period ends on 2026-01-18 at 62.13%. The lowest period ends on 2025-03-12 at 36.64%
🔹Days with win rate above the average: 276. Days with win rate at or below the average: 317
🔹Days with win rate above 50%: 133. Days with win rate from 40% – 50%: 356. Days with win rate below 40%: 104
#TradingStats #MarketSentiment
🔹The average win rate is 45.74%
🔹The highest win-rate day is 2026-01-15 at 74.41%. The lowest win-rate day is 2026-01-25 at 15.69%
🔹The weekday with the highest average win rate is Saturday at 46.02%. The weekday with the lowest average win rate is Monday at 45.44%
🔹The highest 7-day average win rate period ends on 2026-01-18 at 62.13%. The lowest period ends on 2025-03-12 at 36.64%
🔹Days with win rate above the average: 276. Days with win rate at or below the average: 317
🔹Days with win rate above 50%: 133. Days with win rate from 40% – 50%: 356. Days with win rate below 40%: 104
#TradingStats #MarketSentiment
📊 Update 2025-08-09, community-wide trading data:
➤ Average win rate is 44.72%
➤ Highest daily win rate: 2025-07-20 at 65.03%. Lowest: 2025-03-28 at 29.38%
➤ Weekday with the highest average win rate: Friday at 45.50%. Lowest: Monday at 43.96%
➤ Highest 7-day average ended on 2025-07-22 at 56.98%. Lowest ended on 2025-03-12 at 36.64%
➤ Days above the average: 188. Days below the average: 215
➤ Days with win rate above 50%: 62. From 40%–50%: 261. Below 40%: 80
#TradingStats #WinRate
➤ Average win rate is 44.72%
➤ Highest daily win rate: 2025-07-20 at 65.03%. Lowest: 2025-03-28 at 29.38%
➤ Weekday with the highest average win rate: Friday at 45.50%. Lowest: Monday at 43.96%
➤ Highest 7-day average ended on 2025-07-22 at 56.98%. Lowest ended on 2025-03-12 at 36.64%
➤ Days above the average: 188. Days below the average: 215
➤ Days with win rate above 50%: 62. From 40%–50%: 261. Below 40%: 80
#TradingStats #WinRate
🚨 ALERT:
The number of active $SOL traders has dropped from 4.8M to 680K since the start of 2025 🤯
Massive user attrition.
#Solana #Crypto
#TradingStats
$FORM $GUN $BANANAS31
The number of active $SOL traders has dropped from 4.8M to 680K since the start of 2025 🤯
Massive user attrition.
#Solana #Crypto
#TradingStats
$FORM $GUN $BANANAS31
📊 Did you know?🔥🔥🔥💥💥💥
More than 70% of traders use limit orders!
🔎 And you? Limit or Market?
Answer 👇
#CryptoStats #TradingStats #MarketInsights #Binance
More than 70% of traders use limit orders!
🔎 And you? Limit or Market?
Answer 👇
#CryptoStats #TradingStats #MarketInsights #Binance
✅ $TURBO Update ✅
Sharing this here for reference and tracking purposes.
#TURBO #CryptoUpdate #TradingStats #AltcoinWatch #CryptoSignals
Sharing this here for reference and tracking purposes.
#TURBO #CryptoUpdate #TradingStats #AltcoinWatch #CryptoSignals
📊 TRADING PERFORMANCE & FEAR & GREED INDEX (FGI) REPORT – UPDATE 2026-03-06
The statistical data shows that the correlation coefficient between the FGI and win rate remains low (r ~ -0.24). This result suggests that FGI is not suitable as a tool for predicting price direction or identifying entry points, but it still has clear value in quantifying position risk. In particular, trading performance continues to weaken when market sentiment enters the extreme greed zone, which makes FGI more useful as an early risk warning signal rather than a cue to expand profit targets.
Below is a summary of Win Rate (WR), minimum breakeven 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=176
😱 Extreme Fear (<20): WR 50.6% • R:R=1:0.98 • n=58
The share of days with performance above the average level (46.00%) in each sentiment zone was:
🤑 Extreme Greed: 12.0%
🤤 Greed: 39.1%
😐 Neutral: 42.8%
😨 Fear: 55.1%
😱 Extreme Fear: 67.2%
➤ Scalping traders can use FGI as a reference for adjusting profit expectations when entering trades:
📈 When FGI is high, profit targets should be raised to maintain a sufficiently favorable R:R, helping offset the drop in win rate.
📉 When FGI is low, profit targets can be reduced to improve capital turnover and make profit realization easier.
#TradingStats #MarketSentiment
The statistical data shows that the correlation coefficient between the FGI and win rate remains low (r ~ -0.24). This result suggests that FGI is not suitable as a tool for predicting price direction or identifying entry points, but it still has clear value in quantifying position risk. In particular, trading performance continues to weaken when market sentiment enters the extreme greed zone, which makes FGI more useful as an early risk warning signal rather than a cue to expand profit targets.
Below is a summary of Win Rate (WR), minimum breakeven 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=176
😱 Extreme Fear (<20): WR 50.6% • R:R=1:0.98 • n=58
The share of days with performance above the average level (46.00%) in each sentiment zone was:
🤑 Extreme Greed: 12.0%
🤤 Greed: 39.1%
😐 Neutral: 42.8%
😨 Fear: 55.1%
😱 Extreme Fear: 67.2%
➤ Scalping traders can use FGI as a reference for adjusting profit expectations when entering trades:
📈 When FGI is high, profit targets should be raised to maintain a sufficiently favorable R:R, helping offset the drop in win rate.
📉 When FGI is low, profit targets can be reduced to improve capital turnover and make profit realization easier.
#TradingStats #MarketSentiment
DEX-WARS 2026 WHO TAKES ALL THE ATTENTION? ✅️✅️✅️
User activity is just EXPLODING! While banks sleep, decentralized exchanges are racking up millions of visits. Uniswap and PancakeSwap are still kings, but look at the top-3...
🥇 $UNI 15.2M
🥈 $CAKE 12.8M
🥉 $HYPE 8.5M
Hyperliquid has burst into the top-3 and pushed aside the veterans. The market is changing right before our eyes!
#DEX #CryptoTraffic #Uniswap #Hyperliquid #TradingStats
User activity is just EXPLODING! While banks sleep, decentralized exchanges are racking up millions of visits. Uniswap and PancakeSwap are still kings, but look at the top-3...
🥇 $UNI 15.2M
🥈 $CAKE 12.8M
🥉 $HYPE 8.5M
Hyperliquid has burst into the top-3 and pushed aside the veterans. The market is changing right before our eyes!
#DEX #CryptoTraffic #Uniswap #Hyperliquid #TradingStats
📊 TRADING PERFORMANCE & MARKET SENTIMENT (FGI) REPORT – UPDATE 2026-02-15
The data shows the correlation between FGI and Win Rate remains low (r ~ -0.20). This reinforces that FGI is not a tool for predicting price direction or timing entries, but it is highly useful for quantifying positioning risk. In practice, trading performance tends to deteriorate when sentiment reaches extreme euphoria—making it more of an early risk-warning signal than an opportunity to expand profits.
Below is a reference summary of Win Rate (WR), minimum break-even R:R, and sample size (n) by sentiment zone:
🤑 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 46.8% • R:R=1:1.14 • n=175
😱 Extreme Fear (<20): WR 48.6% • R:R=1:1.06 • n=40
Share of days with performance above the average baseline (45.7%) by zone:
🤑 Extreme Greed: 12.0%
🤤 Greed: 40.0%
😐 Neutral: 45.7%
😨 Fear: 56.6%
😱 Extreme Fear: 62.5%
➤ For scalpers, FGI can be used as a practical guide to adjust profit expectations:
📈 When FGI is high, aim for higher profit targets to maintain a sufficiently large R:R and compensate for the drop in win rate.
📉 When FGI is low, consider lowering profit targets to increase turnover speed and realize profits more easily.
#TradingStats #MarketSentiment
The data shows the correlation between FGI and Win Rate remains low (r ~ -0.20). This reinforces that FGI is not a tool for predicting price direction or timing entries, but it is highly useful for quantifying positioning risk. In practice, trading performance tends to deteriorate when sentiment reaches extreme euphoria—making it more of an early risk-warning signal than an opportunity to expand profits.
Below is a reference summary of Win Rate (WR), minimum break-even R:R, and sample size (n) by sentiment zone:
🤑 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 46.8% • R:R=1:1.14 • n=175
😱 Extreme Fear (<20): WR 48.6% • R:R=1:1.06 • n=40
Share of days with performance above the average baseline (45.7%) by zone:
🤑 Extreme Greed: 12.0%
🤤 Greed: 40.0%
😐 Neutral: 45.7%
😨 Fear: 56.6%
😱 Extreme Fear: 62.5%
➤ For scalpers, FGI can be used as a practical guide to adjust profit expectations:
📈 When FGI is high, aim for higher profit targets to maintain a sufficiently large R:R and compensate for the drop in win rate.
📉 When FGI is low, consider lowering profit targets to increase turnover speed and realize profits more easily.
#TradingStats #MarketSentiment
Update 2026-03-06, full community trading data:
🔹The average win rate is 46.00%
🔹The highest win rate day was 2026-01-15 at 74.41%. The lowest win rate day was 2026-01-25 at 15.69%
🔹The day of the week with the highest average win rate was Sunday at 46.36%. The day with the lowest average win rate was Thursday at 45.70%
🔹The 7-day period with the highest average win rate ended on 2026-01-18 at 62.13%. The lowest period ended on 2025-03-12 at 36.64%
🔹The number of days with a win rate above the average was 282. The number of days with a win rate below or equal to the average was 330
🔹The number of days with a win rate above 50% was 145. The number of days with a win rate from 40%–50% was 360. The number of days with a win rate below 40% was 107
#TradingStats #CommunityPerformance
🔹The average win rate is 46.00%
🔹The highest win rate day was 2026-01-15 at 74.41%. The lowest win rate day was 2026-01-25 at 15.69%
🔹The day of the week with the highest average win rate was Sunday at 46.36%. The day with the lowest average win rate was Thursday at 45.70%
🔹The 7-day period with the highest average win rate ended on 2026-01-18 at 62.13%. The lowest period ended on 2025-03-12 at 36.64%
🔹The number of days with a win rate above the average was 282. The number of days with a win rate below or equal to the average was 330
🔹The number of days with a win rate above 50% was 145. The number of days with a win rate from 40%–50% was 360. The number of days with a win rate below 40% was 107
#TradingStats #CommunityPerformance
📊 Update 2025-08-16, community-wide trading data:
➤ The average win rate is 44.73%.
➤ The highest daily win rate was 65.03% on 2025-07-20. The lowest was 29.38% on 2025-03-28.
➤ The day of the week with the highest average win rate is Saturday at 45.50%. The lowest is Monday at 44.04%.
➤ The 7-day period with the highest average win rate ended on 2025-07-22 at 56.98%. The lowest ended on 2025-03-12 at 36.64%.
➤ Number of days above the overall average: 192. Number of days below the average: 218.
➤ Days with win rate above 50%: 63. From 40%–50%: 266. Below 40%: 81.
#TradingStats #CommunityWinRate
➤ The average win rate is 44.73%.
➤ The highest daily win rate was 65.03% on 2025-07-20. The lowest was 29.38% on 2025-03-28.
➤ The day of the week with the highest average win rate is Saturday at 45.50%. The lowest is Monday at 44.04%.
➤ The 7-day period with the highest average win rate ended on 2025-07-22 at 56.98%. The lowest ended on 2025-03-12 at 36.64%.
➤ Number of days above the overall average: 192. Number of days below the average: 218.
➤ Days with win rate above 50%: 63. From 40%–50%: 266. Below 40%: 81.
#TradingStats #CommunityWinRate
Update 2025-09-27, community-wide trading data:
🔹 The average win rate is 44.86%
🔹 The highest win rate day was 2025-07-20 with 65.03%, while the lowest was 2025-03-28 with 29.38%
🔹 The weekday with the highest average win rate is Friday at 45.69%, while Monday records the lowest at 44.08%
🔹 The 7-day period with the highest average ended on 2025-07-22 at 56.91%, while the lowest ended on 2025-03-12 at 36.63%
🔹 The number of days above the average win rate is 214, while those at or below average total 261
🔹 Days with a win rate above 50% are 71, those between 40% – 50% are 295, and those below 40% are 87
#TradingStats #MarketInsights
🔹 The average win rate is 44.86%
🔹 The highest win rate day was 2025-07-20 with 65.03%, while the lowest was 2025-03-28 with 29.38%
🔹 The weekday with the highest average win rate is Friday at 45.69%, while Monday records the lowest at 44.08%
🔹 The 7-day period with the highest average ended on 2025-07-22 at 56.91%, while the lowest ended on 2025-03-12 at 36.63%
🔹 The number of days above the average win rate is 214, while those at or below average total 261
🔹 Days with a win rate above 50% are 71, those between 40% – 50% are 295, and those below 40% are 87
#TradingStats #MarketInsights
Updated 2025-10-04, community-wide trading data:
🔹 Average win rate is 44.76%
🔹 Highest single-day win rate: 2025-07-20 at 65.03%. Lowest single-day win rate: 2025-03-28 at 29.38%
🔹 Day of week with the highest average win rate: Saturday at 45.45%. Lowest: Monday at 43.87%
🔹 7-day period with the highest average win rate ended on 2025-07-22 at 56.98%. Lowest ended on 2025-03-12 at 36.64%
🔹 Days above the average win rate: 218. Days at or below the average: 241
🔹 Days with win rate above 50%: 71. From 40%–50%: 298. Below 40%: 90
#WinRateAnalysis #TradingStats
🔹 Average win rate is 44.76%
🔹 Highest single-day win rate: 2025-07-20 at 65.03%. Lowest single-day win rate: 2025-03-28 at 29.38%
🔹 Day of week with the highest average win rate: Saturday at 45.45%. Lowest: Monday at 43.87%
🔹 7-day period with the highest average win rate ended on 2025-07-22 at 56.98%. Lowest ended on 2025-03-12 at 36.64%
🔹 Days above the average win rate: 218. Days at or below the average: 241
🔹 Days with win rate above 50%: 71. From 40%–50%: 298. Below 40%: 90
#WinRateAnalysis #TradingStats
Updated 2025-10-18, community-wide trading data:
🔹 The average win rate is 44.88%.
🔹 The highest daily win rate was 65.03% on 2025-07-20. The lowest was 29.38% on 2025-03-28.
🔹 The weekday with the highest average win rate was Saturday at 45.44%. The lowest was Monday at 44.15%.
🔹 The 7-day period with the highest average win rate ended on 2025-07-22 at 56.98%. The lowest ended on 2025-03-12 at 36.64%.
🔹 Number of days above the overall average: 221. Number of days at or below the average: 252.
🔹 Number of days with win rate above 50%: 79. From 40%–50%: 302. Below 40%: 92.
#TradingStats #WinRate
🔹 The average win rate is 44.88%.
🔹 The highest daily win rate was 65.03% on 2025-07-20. The lowest was 29.38% on 2025-03-28.
🔹 The weekday with the highest average win rate was Saturday at 45.44%. The lowest was Monday at 44.15%.
🔹 The 7-day period with the highest average win rate ended on 2025-07-22 at 56.98%. The lowest ended on 2025-03-12 at 36.64%.
🔹 Number of days above the overall average: 221. Number of days at or below the average: 252.
🔹 Number of days with win rate above 50%: 79. From 40%–50%: 302. Below 40%: 92.
#TradingStats #WinRate
📊 WINRATE & MARKET SENTIMENT (FGI) ANALYSIS – updated to 2025-11-15
Daily community scalping winrate data still shows a very weak correlation between FGI and winrate (≈ -0.14). Winrate does not follow FGI in a linear way; the “Extreme Greed” zone remains the riskiest area for performance.
🔍 Quick interpretation
In the Fear band (20–<40), performance is currently the strongest; Neutral (40–60) and Extreme Fear (<20) hover around the overall average. Greed (60–<80) does not show any clear improvement. Extreme Greed (≥80) pulls the winrate down sharply. Extreme Fear (<20) now has more data but is still a small sample, so any interpretation remains tentative.
📉 Average winrate by FGI band (with number of days)
😨 Extreme Fear (<20): 45.46% — n=8
😟 Fear (20–<40): 46.17% — n=123
😐 Neutral (40–60): 45.24% — n=131
😃 Greed (60–<80): 44.92% — n=214
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
Share of days beating the overall average winrate of 45.10% by band:
Extreme Fear 50.00% • Fear 58.54% • Neutral 48.85% • Greed 44.39% • Extreme Greed 12.00%.
📈 Implications for scalping
➤ FGI ≥80: lower TP expectations, tighten SL, and prioritize early profit-taking when momentum weakens.
➤ FGI 20–<80: keep R:R discipline; avoid stretching TP too far out of FOMO (the differences between Fear/Neutral/Greed are not large enough to justify a complete strategy shift).
➤ FGI <20: sample is still small, so handle with caution; the focus should remain on trade management.
#TradingStats #MarketSentiment
Daily community scalping winrate data still shows a very weak correlation between FGI and winrate (≈ -0.14). Winrate does not follow FGI in a linear way; the “Extreme Greed” zone remains the riskiest area for performance.
🔍 Quick interpretation
In the Fear band (20–<40), performance is currently the strongest; Neutral (40–60) and Extreme Fear (<20) hover around the overall average. Greed (60–<80) does not show any clear improvement. Extreme Greed (≥80) pulls the winrate down sharply. Extreme Fear (<20) now has more data but is still a small sample, so any interpretation remains tentative.
📉 Average winrate by FGI band (with number of days)
😨 Extreme Fear (<20): 45.46% — n=8
😟 Fear (20–<40): 46.17% — n=123
😐 Neutral (40–60): 45.24% — n=131
😃 Greed (60–<80): 44.92% — n=214
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
Share of days beating the overall average winrate of 45.10% by band:
Extreme Fear 50.00% • Fear 58.54% • Neutral 48.85% • Greed 44.39% • Extreme Greed 12.00%.
📈 Implications for scalping
➤ FGI ≥80: lower TP expectations, tighten SL, and prioritize early profit-taking when momentum weakens.
➤ FGI 20–<80: keep R:R discipline; avoid stretching TP too far out of FOMO (the differences between Fear/Neutral/Greed are not large enough to justify a complete strategy shift).
➤ FGI <20: sample is still small, so handle with caution; the focus should remain on trade management.
#TradingStats #MarketSentiment
📊 TRADING PERFORMANCE & SENTIMENT (FGI) REPORT – UPDATE 08/02/2026
The statistics show the correlation between the FGI index and win rate remains low (r ~ -0.18). This confirms FGI is not a predictive signal for price direction or entry timing, but it plays a key role in quantifying position risk. In practice, trading performance tends to deteriorate noticeably when market sentiment reaches extreme euphoria—making it an early risk warning signal rather than an opportunity to expand profits.
Below is a summary of Win Rate (WR), the minimum breakeven R:R, and the number of recorded 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 46.8% • R:R=1:1.14 • n=175
😱 Extreme Fear (<20): WR 47.9% • R:R=1:1.09 • n=33
Share of days with performance above the average (45.7%) by zone:
🤑 Extreme Greed: 12.0%
🤤 Greed: 40.9%
😐 Neutral: 45.7%
😨 Fear: 56.6%
😱 Extreme Fear: 57.6%
➤ Scalpers can use FGI as a guideline to adjust expected profit targets when trading:
📈 When FGI is high, raise profit targets to ensure a sufficiently large R:R that can compensate for a lower win rate.
📉 When FGI is low, reduce profit targets to increase capital turnover and realize profits more easily.
#TradingStats #MarketSentiment
The statistics show the correlation between the FGI index and win rate remains low (r ~ -0.18). This confirms FGI is not a predictive signal for price direction or entry timing, but it plays a key role in quantifying position risk. In practice, trading performance tends to deteriorate noticeably when market sentiment reaches extreme euphoria—making it an early risk warning signal rather than an opportunity to expand profits.
Below is a summary of Win Rate (WR), the minimum breakeven R:R, and the number of recorded 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 46.8% • R:R=1:1.14 • n=175
😱 Extreme Fear (<20): WR 47.9% • R:R=1:1.09 • n=33
Share of days with performance above the average (45.7%) by zone:
🤑 Extreme Greed: 12.0%
🤤 Greed: 40.9%
😐 Neutral: 45.7%
😨 Fear: 56.6%
😱 Extreme Fear: 57.6%
➤ Scalpers can use FGI as a guideline to adjust expected profit targets when trading:
📈 When FGI is high, raise profit targets to ensure a sufficiently large R:R that can compensate for a lower win rate.
📉 When FGI is low, reduce profit targets to increase capital turnover and realize profits more easily.
#TradingStats #MarketSentiment
📊 Community Win Rate & Market Sentiment (FGI) — updated through 2025-08-09
Daily scalping data shows a very weak link between FGI and performance (correlation ≈ -0.07). Win rate does not move linearly with sentiment; the “Extreme Greed” phase is the only zone that consistently drags performance lower.
🔍 Quick interpretation
When FGI sits in the Fear range (26–46), traders tend to be more cautious and take profit earlier, so win rate edges above the overall average. In Greed (55–74), win rate is also slightly higher, but only marginally. By contrast, “Extreme Greed” aligns with FOMO: profit targets are pushed farther, so stops get hit before targets are reached.
📉 Average win rate by FGI band (with sample size)
😨 Extreme Fear (≤25): 44.57% — n=23
😟 Fear (26–46): 45.19% — n=96
😐 Neutral (47–54): 44.71% — n=52
😃 Greed (55–74): 45.24% — n=171 (highest, but only marginally above Fear)
🤑 Extreme Greed (≥75): 42.61% — n=61 (lowest)
Share of days above the overall average win rate (44.72%) by band: Fear 57.29% (highest), Greed 47.95%, Neutral 44.23%, Extreme Fear 43.48%, Extreme Greed 29.51% (lowest). This reinforces that risk rises meaningfully only in “Extreme Greed,” while Fear/Greed at moderate levels is relatively stable.
📈 Implications for scalping
1 - When FGI ≥75: lower TP expectations, keep SL disciplined, and favor partial/early exits when momentum fades.
2 - When FGI 26–74: stick to R:R discipline and avoid stretching TP due to FOMO; the win-rate gap between Fear and Greed is too small to justify wholesale strategy changes.
3 - When FGI ≤25: performance sits near the average; focus on trade management rather than “timing” sentiment extremes.
🧠 Bottom line
FGI does not directly determine win rate, but it is a useful cue for calibrating TP/SL. Avoid extremes during “Extreme Greed” and keep targets realistic to stabilize scalping performance.
#TradingStats #MarketPsychology
Daily scalping data shows a very weak link between FGI and performance (correlation ≈ -0.07). Win rate does not move linearly with sentiment; the “Extreme Greed” phase is the only zone that consistently drags performance lower.
🔍 Quick interpretation
When FGI sits in the Fear range (26–46), traders tend to be more cautious and take profit earlier, so win rate edges above the overall average. In Greed (55–74), win rate is also slightly higher, but only marginally. By contrast, “Extreme Greed” aligns with FOMO: profit targets are pushed farther, so stops get hit before targets are reached.
📉 Average win rate by FGI band (with sample size)
😨 Extreme Fear (≤25): 44.57% — n=23
😟 Fear (26–46): 45.19% — n=96
😐 Neutral (47–54): 44.71% — n=52
😃 Greed (55–74): 45.24% — n=171 (highest, but only marginally above Fear)
🤑 Extreme Greed (≥75): 42.61% — n=61 (lowest)
Share of days above the overall average win rate (44.72%) by band: Fear 57.29% (highest), Greed 47.95%, Neutral 44.23%, Extreme Fear 43.48%, Extreme Greed 29.51% (lowest). This reinforces that risk rises meaningfully only in “Extreme Greed,” while Fear/Greed at moderate levels is relatively stable.
📈 Implications for scalping
1 - When FGI ≥75: lower TP expectations, keep SL disciplined, and favor partial/early exits when momentum fades.
2 - When FGI 26–74: stick to R:R discipline and avoid stretching TP due to FOMO; the win-rate gap between Fear and Greed is too small to justify wholesale strategy changes.
3 - When FGI ≤25: performance sits near the average; focus on trade management rather than “timing” sentiment extremes.
🧠 Bottom line
FGI does not directly determine win rate, but it is a useful cue for calibrating TP/SL. Avoid extremes during “Extreme Greed” and keep targets realistic to stabilize scalping performance.
#TradingStats #MarketPsychology
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