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📊 [UPDATED AS OF JULY 12, 2025] WINRATE & SENTIMENT: SOMETIMES FEAR OUTPERFORMS GREED
Based on our analysis of community-wide trading data, we examined how winrate varies across different levels of market sentiment, as defined by the Fear and Greed Index (FGI). The results reveal some surprising patterns.
⭐️ Average winrate by market sentiment:
🔹 When the market is in Fear – winrate peaks at 45.19%, the highest across all sentiment categories.
🔹 In a Neutral state – winrate is 44.62%, suggesting stable performance without emotional extremes.
🔹 During Greed – winrate dips slightly to 44.39%, reflecting increased impulsiveness and FOMO-driven trades.
🔹 Under Extreme Fear – winrate remains relatively strong at 44.33%, showing disciplined execution by cautious traders.
🔹 At the height of Extreme Greed – winrate drops to just 42.37%, the lowest among all segments.
⭐️ Key Takeaways:
🔸 When the market is overly greedy, winrate suffers most. This is often when traders chase price moves, ignore risks, and act irrationally.
🔸 Conversely, winrate is strongest during times of fear. Traders tend to be more selective, risk-aware, and focused during uncertain periods.
⭐️ Conclusion:
The data suggests that markets do not reward extreme excitement. When others are fearful, it might just be your best chance to trade calmly and accurately.
Always remember: Good trading is driven by discipline, not emotion.
#Insight #FGI #Winrate #CryptoPsychology
Based on our analysis of community-wide trading data, we examined how winrate varies across different levels of market sentiment, as defined by the Fear and Greed Index (FGI). The results reveal some surprising patterns.
⭐️ Average winrate by market sentiment:
🔹 When the market is in Fear – winrate peaks at 45.19%, the highest across all sentiment categories.
🔹 In a Neutral state – winrate is 44.62%, suggesting stable performance without emotional extremes.
🔹 During Greed – winrate dips slightly to 44.39%, reflecting increased impulsiveness and FOMO-driven trades.
🔹 Under Extreme Fear – winrate remains relatively strong at 44.33%, showing disciplined execution by cautious traders.
🔹 At the height of Extreme Greed – winrate drops to just 42.37%, the lowest among all segments.
⭐️ Key Takeaways:
🔸 When the market is overly greedy, winrate suffers most. This is often when traders chase price moves, ignore risks, and act irrationally.
🔸 Conversely, winrate is strongest during times of fear. Traders tend to be more selective, risk-aware, and focused during uncertain periods.
⭐️ Conclusion:
The data suggests that markets do not reward extreme excitement. When others are fearful, it might just be your best chance to trade calmly and accurately.
Always remember: Good trading is driven by discipline, not emotion.
#Insight #FGI #Winrate #CryptoPsychology
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📊 WIN RATE & MARKET SENTIMENT (FGI) ANALYSIS – updated through 2025-11-01
Daily win-rate data for the scalping community shows the FGI–win-rate correlation remains very weak (≈ -0.11). Win rate does not track FGI linearly; the “Extreme Greed” zone continues to be the riskiest for performance.
🔍 Brief interpretation
In Fear (20–<40) and Neutral (40–60), performance hovers around the average, with Neutral slightly higher. Greed (60–<80) shows no clear improvement. Extreme Greed (≥80) drags win rate down sharply. Extreme Fear (<20) has a small sample, so treat as indicative only.
📉 Average win rate by FGI band (with day counts)
😨 Extreme Fear (<20): 45.93% — n=5
😟 Fear (20–<40): 45.75% — n=113
😐 Neutral (40–60): 45.28% — n=130
😃 Greed (60–<80): 44.92% — n=214
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
Share of days exceeding the 44.99% average win rate by band:
Extreme Fear 60.00% • Fear 56.64% • Neutral 49.23% • Greed 44.39% • Extreme Greed 12.00%.
📈 Implications for scalping
➤ FGI ≥80: lower TP expectations, tighten SL, favor early profit-taking when momentum fades.
➤ FGI 20–<80: keep R:R discipline; avoid pushing TP too far due to FOMO (differences across Fear/Neutral/Greed aren’t large enough to warrant a strategy overhaul).
➤ FGI <20: small sample—handle with care; focus remains on order management.
#FGI #Winrate
Daily win-rate data for the scalping community shows the FGI–win-rate correlation remains very weak (≈ -0.11). Win rate does not track FGI linearly; the “Extreme Greed” zone continues to be the riskiest for performance.
🔍 Brief interpretation
In Fear (20–<40) and Neutral (40–60), performance hovers around the average, with Neutral slightly higher. Greed (60–<80) shows no clear improvement. Extreme Greed (≥80) drags win rate down sharply. Extreme Fear (<20) has a small sample, so treat as indicative only.
📉 Average win rate by FGI band (with day counts)
😨 Extreme Fear (<20): 45.93% — n=5
😟 Fear (20–<40): 45.75% — n=113
😐 Neutral (40–60): 45.28% — n=130
😃 Greed (60–<80): 44.92% — n=214
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
Share of days exceeding the 44.99% average win rate by band:
Extreme Fear 60.00% • Fear 56.64% • Neutral 49.23% • Greed 44.39% • Extreme Greed 12.00%.
📈 Implications for scalping
➤ FGI ≥80: lower TP expectations, tighten SL, favor early profit-taking when momentum fades.
➤ FGI 20–<80: keep R:R discipline; avoid pushing TP too far due to FOMO (differences across Fear/Neutral/Greed aren’t large enough to warrant a strategy overhaul).
➤ FGI <20: small sample—handle with care; focus remains on order management.
#FGI #Winrate
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📊 WINRATE & MARKET SENTIMENT (FGI) ANALYSIS — updated through 2025-08-16
Daily win rate data from the scalping community shows a very weak relationship between FGI and performance (correlation ≈ -0.07). Win rate does not move linearly with sentiment; the “extreme greed” phase, in particular, tends to pull performance down noticeably.
🔍 Quick take
When FGI is in the Fear zone (26–46), traders tend to be more cautious and take profits earlier, so the win rate edges above the average. In the Greed zone (55–74), the win rate is also higher but only slightly. By contrast, “Extreme Greed” often comes with FOMO: TP targets get stretched, and orders hit SL before reaching the target.
📉 Average win rate by FGI band (with days)
😨 Extreme Fear (≤25): 44.57% — n=23
😟 Fear (26–46): 45.19% — n=96
😐 Neutral (47–54): 44.71% — n=52
😃 Greed (55–74): 45.27% — n=177 (highest but only marginally above Fear)
🤑 Extreme Greed (≥75): 42.55% — n=62 (lowest)
Share of days above the overall average win rate of 44.73% by FGI band: Fear 57.29% (highest), Greed 48.59%, Neutral 44.23%, Extreme Fear 43.48%, Extreme Greed 29.03% (lowest). This supports the idea that the biggest risk sits in the “extreme greed” phase, while moderate Fear/Greed phases deliver comparatively stable performance.
📈 Implications for scalping
1 - When FGI ≥75: lower TP expectations, tighten SL sensibly, and favor early profit-taking when momentum fades.
2 - When FGI 26–74: keep R:R discipline; avoid stretching TP due to FOMO (the win rate gap between Fear and Greed isn’t large enough to justify a wholesale strategy change).
3 - When FGI ≤25: performance is near the average; focus on order management rather than trying to “bottom-fish sentiment.”
🧠 Conclusion
FGI does not directly determine win rate, but it’s a useful signal to adjust TP/SL expectations. Avoid extremes during “Extreme Greed” and maintain target discipline to keep scalping performance steadier.
#FGI #ScalpingInsights
Daily win rate data from the scalping community shows a very weak relationship between FGI and performance (correlation ≈ -0.07). Win rate does not move linearly with sentiment; the “extreme greed” phase, in particular, tends to pull performance down noticeably.
🔍 Quick take
When FGI is in the Fear zone (26–46), traders tend to be more cautious and take profits earlier, so the win rate edges above the average. In the Greed zone (55–74), the win rate is also higher but only slightly. By contrast, “Extreme Greed” often comes with FOMO: TP targets get stretched, and orders hit SL before reaching the target.
📉 Average win rate by FGI band (with days)
😨 Extreme Fear (≤25): 44.57% — n=23
😟 Fear (26–46): 45.19% — n=96
😐 Neutral (47–54): 44.71% — n=52
😃 Greed (55–74): 45.27% — n=177 (highest but only marginally above Fear)
🤑 Extreme Greed (≥75): 42.55% — n=62 (lowest)
Share of days above the overall average win rate of 44.73% by FGI band: Fear 57.29% (highest), Greed 48.59%, Neutral 44.23%, Extreme Fear 43.48%, Extreme Greed 29.03% (lowest). This supports the idea that the biggest risk sits in the “extreme greed” phase, while moderate Fear/Greed phases deliver comparatively stable performance.
📈 Implications for scalping
1 - When FGI ≥75: lower TP expectations, tighten SL sensibly, and favor early profit-taking when momentum fades.
2 - When FGI 26–74: keep R:R discipline; avoid stretching TP due to FOMO (the win rate gap between Fear and Greed isn’t large enough to justify a wholesale strategy change).
3 - When FGI ≤25: performance is near the average; focus on order management rather than trying to “bottom-fish sentiment.”
🧠 Conclusion
FGI does not directly determine win rate, but it’s a useful signal to adjust TP/SL expectations. Avoid extremes during “Extreme Greed” and maintain target discipline to keep scalping performance steadier.
#FGI #ScalpingInsights
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📊 WIN RATE & MARKET SENTIMENT (FGI) ANALYSIS — updated through 2025-08-30
Daily community scalping win-rate data shows a very weak FGI–win-rate correlation (≈ -0.08). Win rate does not move linearly with FGI; the “Extreme Greed” phase remains the riskiest for performance.
🔍 Quick take
At Fear (20–<40) and Neutral (40–60), performance hovers around the average, with Neutral slightly higher. Greed (60–<80) shows no clear improvement. Extreme Greed (≥80) pulls win rate down sharply. Note that Extreme Fear (<20) has a small sample size, so treat it as indicative only.
📉 Average win rate by FGI band (with days)
😨 Extreme Fear (<20): 45.93% — n=5
😟 Fear (20–<40): 44.91% — n=92
😐 Neutral (40–60): 45.40% — n=107
😃 Greed (60–<80): 44.97% — n=195
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
Share of days above the 44.81% overall average by band:
Extreme Fear 60.00% • Fear 52.17% • Neutral 49.53% • Greed 47.69% • Extreme Greed 12.00%.
These results reinforce that “Extreme Greed” is the band where discipline must be tightened the most, while Fear/Neutral deliver relatively stable performance around the average.
📈 Implications for scalping
1 - FGI ≥80: lower TP expectations, tighten SL, prioritize partial/early take-profit when momentum fades.
2 - FGI 20–<80: keep R:R discipline; avoid stretching TP due to FOMO (differences across Fear/Neutral/Greed aren’t large enough to warrant a wholesale strategy change).
3 - FGI <20: small sample; proceed cautiously—focus on order management.
#TradingInsights #FGI
Daily community scalping win-rate data shows a very weak FGI–win-rate correlation (≈ -0.08). Win rate does not move linearly with FGI; the “Extreme Greed” phase remains the riskiest for performance.
🔍 Quick take
At Fear (20–<40) and Neutral (40–60), performance hovers around the average, with Neutral slightly higher. Greed (60–<80) shows no clear improvement. Extreme Greed (≥80) pulls win rate down sharply. Note that Extreme Fear (<20) has a small sample size, so treat it as indicative only.
📉 Average win rate by FGI band (with days)
😨 Extreme Fear (<20): 45.93% — n=5
😟 Fear (20–<40): 44.91% — n=92
😐 Neutral (40–60): 45.40% — n=107
😃 Greed (60–<80): 44.97% — n=195
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
Share of days above the 44.81% overall average by band:
Extreme Fear 60.00% • Fear 52.17% • Neutral 49.53% • Greed 47.69% • Extreme Greed 12.00%.
These results reinforce that “Extreme Greed” is the band where discipline must be tightened the most, while Fear/Neutral deliver relatively stable performance around the average.
📈 Implications for scalping
1 - FGI ≥80: lower TP expectations, tighten SL, prioritize partial/early take-profit when momentum fades.
2 - FGI 20–<80: keep R:R discipline; avoid stretching TP due to FOMO (differences across Fear/Neutral/Greed aren’t large enough to warrant a wholesale strategy change).
3 - FGI <20: small sample; proceed cautiously—focus on order management.
#TradingInsights #FGI
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📊 WINRATE & MARKET SENTIMENT (FGI) ANALYSIS – updated to 2025-09-13
Daily community scalping data shows a very weak FGI–winrate correlation (≈ -0.08). Winrate does not move linearly with FGI; the “Extreme Greed” phase remains the riskiest zone for performance.
🔍 Quick interpretation
In Fear (20–<40) and Neutral (40–60), performance sits around the average, with Neutral slightly higher; Greed (60–<80) shows no clear improvement. Extreme Greed (≥80) pulls winrate down sharply. Note that Extreme Fear (<20) has a small sample, so treat it as indicative only.
📉 Average winrate by FGI band (with sample size)
😨 Extreme Fear (<20): 45.93% — n=5
😟 Fear (20–<40): 44.91% — n=92
😐 Neutral (40–60): 45.41% — n=121
😃 Greed (60–<80): 44.97% — n=195
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
Share of days above the 44.83% average by band:
Extreme Fear 60.00% • Fear 52.17% • Neutral 50.41% • Greed 47.18% • Extreme Greed 12.00%.
This reinforces that “Extreme Greed” is where discipline must be tightened the most; Fear/Neutral deliver relatively stable performance around the mean.
📈 Implications for scalping
➤ FGI ≥80: lower TP expectations, tighten SL, prioritize early profit-taking when momentum fades.
➤ FGI 20–<80: keep R:R discipline; avoid pushing TP too far due to FOMO (differences across Fear/Neutral/Greed are not large enough to justify a strategy overhaul).
➤ FGI <20: small sample—handle cautiously; focus on order management.
#TradingInsights #FGI
Daily community scalping data shows a very weak FGI–winrate correlation (≈ -0.08). Winrate does not move linearly with FGI; the “Extreme Greed” phase remains the riskiest zone for performance.
🔍 Quick interpretation
In Fear (20–<40) and Neutral (40–60), performance sits around the average, with Neutral slightly higher; Greed (60–<80) shows no clear improvement. Extreme Greed (≥80) pulls winrate down sharply. Note that Extreme Fear (<20) has a small sample, so treat it as indicative only.
📉 Average winrate by FGI band (with sample size)
😨 Extreme Fear (<20): 45.93% — n=5
😟 Fear (20–<40): 44.91% — n=92
😐 Neutral (40–60): 45.41% — n=121
😃 Greed (60–<80): 44.97% — n=195
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
Share of days above the 44.83% average by band:
Extreme Fear 60.00% • Fear 52.17% • Neutral 50.41% • Greed 47.18% • Extreme Greed 12.00%.
This reinforces that “Extreme Greed” is where discipline must be tightened the most; Fear/Neutral deliver relatively stable performance around the mean.
📈 Implications for scalping
➤ FGI ≥80: lower TP expectations, tighten SL, prioritize early profit-taking when momentum fades.
➤ FGI 20–<80: keep R:R discipline; avoid pushing TP too far due to FOMO (differences across Fear/Neutral/Greed are not large enough to justify a strategy overhaul).
➤ FGI <20: small sample—handle cautiously; focus on order management.
#TradingInsights #FGI
اقتباس شهير لوارين بافيت. . . . .
عندما يكون الجميع جشعين، اختر جانبًا. . . .
#fgi
#FearAndGreedIndex
عندما يكون الجميع جشعين، اختر جانبًا. . . .
#fgi
#FearAndGreedIndex
🧠 الانضباط العاطفي: تداول مؤشر الخوف والجشع، وليس تغريدة تويتر.
عندما يصل مؤشر الخوف والجشع إلى "جشع متطرف"، أوجه مستخدميَّ لأخذ الأرباح. عندما يصل إلى "خوف متطرف"، أبحث عن مناطق تراكم ذات فائدة عالية.
الجانب الآمن: لا تشترِ عندما يكون الجميع في حالة من النشوة. لا تبيع عندما يكون الجميع في حالة من الاستسلام. كن مخالفًا بقناعة.
$BTC $ETH
#FGI #Discipline #Contrarian
عندما يصل مؤشر الخوف والجشع إلى "جشع متطرف"، أوجه مستخدميَّ لأخذ الأرباح. عندما يصل إلى "خوف متطرف"، أبحث عن مناطق تراكم ذات فائدة عالية.
الجانب الآمن: لا تشترِ عندما يكون الجميع في حالة من النشوة. لا تبيع عندما يكون الجميع في حالة من الاستسلام. كن مخالفًا بقناعة.
$BTC $ETH
#FGI #Discipline #Contrarian
📊 معدل الفوز & مشاعر السوق (FGI) التحليل – تم التحديث حتى 2025-10-04
بيانات مجتمع التداول السريع تظهر أن العلاقة بين FGI ومعدل الفوز تظل ضعيفة جدًا (≈ -0.07). معدل الفوز لا يتتبع FGI بشكل خطي؛ تستمر الجشع الشديد في كونها المنطقة الأكثر خطرًا للأداء.
🔍 نظرة سريعة
في الخوف (20–<40) والحياد (40–60)، الأداء يتراوح حول المتوسط، مع ارتفاع طفيف في الحياد. الجشع (60–<80) لا يظهر تحسنًا واضحًا. الجشع الشديد (≥80) يسحب معدل الفوز بشكل حاد إلى الأسفل. الخوف الشديد (<20) لديه عينة صغيرة، لذا اعتبره مؤشراً فقط.
📉 متوسط معدل الفوز حسب شريحة FGI (مع عدد الأيام)
😨 الخوف الشديد (<20): 45.93% — n=5
😟 الخوف (20–<40): 44.86% — n=95
😐 الحياد (40–60): 45.17% — n=136
😃 الجشع (60–<80): 44.92% — n=198
🤑 الجشع الشديد (≥80): 40.52% — n=25 (الأدنى)
نسبة الأيام التي تجاوزت متوسط معدل الفوز العام البالغ 44.76% حسب الشريحة:
الخوف الشديد 60.00% • الخوف 51.58% • الحياد 50.74% • الجشع 47.47% • الجشع الشديد 12.00%.
هذا يعزز أن الجشع الشديد هو المكان الذي يجب أن تكون فيه الانضباط هو الأكثر صرامة، بينما يوفر الخوف/الحياد نتائج أكثر استقرارًا، حول المتوسط.
📈 الآثار على التداول السريع
➤ FGI ≥80: توقعات TP أقل، شد SLs، تفضيل اتخاذ الأرباح المبكرة عندما يخف الزخم.
➤ FGI 20–<80: الحفاظ على انضباط R:R؛ تجنب تمديد TPs بسبب FOMO (الفروق بين الخوف/الحياد/الجشع ليست كبيرة بما يكفي لتبرير تغيير كامل في الاستراتيجية).
➤ FGI <20: عينة صغيرة؛ التصرف بحذر والحفاظ على إدارة الطلبات في المقدمة.
#WinRateAnalysis #FGI
بيانات مجتمع التداول السريع تظهر أن العلاقة بين FGI ومعدل الفوز تظل ضعيفة جدًا (≈ -0.07). معدل الفوز لا يتتبع FGI بشكل خطي؛ تستمر الجشع الشديد في كونها المنطقة الأكثر خطرًا للأداء.
🔍 نظرة سريعة
في الخوف (20–<40) والحياد (40–60)، الأداء يتراوح حول المتوسط، مع ارتفاع طفيف في الحياد. الجشع (60–<80) لا يظهر تحسنًا واضحًا. الجشع الشديد (≥80) يسحب معدل الفوز بشكل حاد إلى الأسفل. الخوف الشديد (<20) لديه عينة صغيرة، لذا اعتبره مؤشراً فقط.
📉 متوسط معدل الفوز حسب شريحة FGI (مع عدد الأيام)
😨 الخوف الشديد (<20): 45.93% — n=5
😟 الخوف (20–<40): 44.86% — n=95
😐 الحياد (40–60): 45.17% — n=136
😃 الجشع (60–<80): 44.92% — n=198
🤑 الجشع الشديد (≥80): 40.52% — n=25 (الأدنى)
نسبة الأيام التي تجاوزت متوسط معدل الفوز العام البالغ 44.76% حسب الشريحة:
الخوف الشديد 60.00% • الخوف 51.58% • الحياد 50.74% • الجشع 47.47% • الجشع الشديد 12.00%.
هذا يعزز أن الجشع الشديد هو المكان الذي يجب أن تكون فيه الانضباط هو الأكثر صرامة، بينما يوفر الخوف/الحياد نتائج أكثر استقرارًا، حول المتوسط.
📈 الآثار على التداول السريع
➤ FGI ≥80: توقعات TP أقل، شد SLs، تفضيل اتخاذ الأرباح المبكرة عندما يخف الزخم.
➤ FGI 20–<80: الحفاظ على انضباط R:R؛ تجنب تمديد TPs بسبب FOMO (الفروق بين الخوف/الحياد/الجشع ليست كبيرة بما يكفي لتبرير تغيير كامل في الاستراتيجية).
➤ FGI <20: عينة صغيرة؛ التصرف بحذر والحفاظ على إدارة الطلبات في المقدمة.
#WinRateAnalysis #FGI
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