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tradingperformance
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Why $BTC trading performance is still telling a bigger story 📊
The tape is still punishing impatience: the average win rate sits at 46.52%, so timing matters more than strong opinions. The best 7-day stretch ended on 2026-04-05 at 63.27%, while Wednesday keeps outperforming and Thursday lags, hinting that liquidity has a rhythm and smarter money tends to move when the market is breathing right.
Not financial advice. Manage your risk and protect your capital.
#TradingPerformance #MarketStatistics #Bitcoin #CryptoTrading
✦
The tape is still punishing impatience: the average win rate sits at 46.52%, so timing matters more than strong opinions. The best 7-day stretch ended on 2026-04-05 at 63.27%, while Wednesday keeps outperforming and Thursday lags, hinting that liquidity has a rhythm and smarter money tends to move when the market is breathing right.
Not financial advice. Manage your risk and protect your capital.
#TradingPerformance #MarketStatistics #Bitcoin #CryptoTrading
✦
$BTC is trading like a liquidity test, not a clean trend
The average win rate sits at 46.52%, and more days have finished at or below that line than above it, which tells you the tape is still uneven. But the market can still stretch fast when flows line up: the strongest 7-day window ended on 2026-04-05 at 63.27%, with Wednesday leading and Thursday lagging, a quiet hint that rotation is driving the move more than conviction.
Not financial advice. Manage your risk and protect your capital.
#TradingPerformance #MarketStatistics #Bitcoin #CryptoTrading ✦
The average win rate sits at 46.52%, and more days have finished at or below that line than above it, which tells you the tape is still uneven. But the market can still stretch fast when flows line up: the strongest 7-day window ended on 2026-04-05 at 63.27%, with Wednesday leading and Thursday lagging, a quiet hint that rotation is driving the move more than conviction.
Not financial advice. Manage your risk and protect your capital.
#TradingPerformance #MarketStatistics #Bitcoin #CryptoTrading ✦
Updated April 10, 2026, community-wide trading data:
📊 The average win rate is 46.52%
🏆 The day with the highest win rate was 2026-04-01 at 78.08%. 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 46.83%. The weekday with the lowest average win rate is Thursday at 45.71%
⏱️ The 7-day period with the highest average win rate ended on 2026-04-05 at 63.27%. The lowest period ended on 2025-03-12 at 36.64%
⚖️ The number of days with a win rate above the average is 295. The number of days with a win rate below or equal to the average is 352
📈 The number of days with a win rate above 50% is 172. The number of days with a win rate from 40%–50% is 364. The number of days with a win rate below 40% is 111
#TradingPerformance #MarketStatistics $BTC $ETH $SOL
📊 The average win rate is 46.52%
🏆 The day with the highest win rate was 2026-04-01 at 78.08%. 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 46.83%. The weekday with the lowest average win rate is Thursday at 45.71%
⏱️ The 7-day period with the highest average win rate ended on 2026-04-05 at 63.27%. The lowest period ended on 2025-03-12 at 36.64%
⚖️ The number of days with a win rate above the average is 295. The number of days with a win rate below or equal to the average is 352
📈 The number of days with a win rate above 50% is 172. The number of days with a win rate from 40%–50% is 364. The number of days with a win rate below 40% is 111
#TradingPerformance #MarketStatistics $BTC $ETH $SOL
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📊 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.
#TradingPerformance #MarketPsychology $BTC $ZEC $DOGE
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.
#TradingPerformance #MarketPsychology $BTC $ZEC $DOGE
$1,000 Payout: The result of systematic execution. 🛡️
Consistency is the only metric that matters. This payout confirms a 12/12 win streak (+9.7% ROI) by adhering to strict risk management and high-probability levels.
In this game, discipline always beats luck.
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🔗 Check my bio for the official challenge link.
#TradingPerformance #PropFirm #CryptoStrategy #RiskManagement
Consistency is the only metric that matters. This payout confirms a 12/12 win streak (+9.7% ROI) by adhering to strict risk management and high-probability levels.
In this game, discipline always beats luck.
🔥 Use Code: CRYPTOJOBS (20% OFF)
🔗 Check my bio for the official challenge link.
#TradingPerformance #PropFirm #CryptoStrategy #RiskManagement
📊 Community Trading Data Update as of 2025-08-23:
➤ The average win rate is 44.75%.
➤ The highest win rate was on 2025-07-20 at 65.03%, while the lowest was on 2025-03-28 at 29.38%.
➤ The day with the highest average win rate is Saturday at 45.62%, while the lowest is Monday at 43.96%.
➤ The highest 7-day rolling win rate ended on 2025-07-22 at 56.98%, and the lowest ended on 2025-03-12 at 36.64%.
➤ There were 196 days with above-average win rates and 221 days below average.
➤ A total of 65 days had win rates above 50%, 269 days ranged between 40%–50%, and 83 days fell below 40%.
#TradingPerformance #CommunityInsights
➤ The average win rate is 44.75%.
➤ The highest win rate was on 2025-07-20 at 65.03%, while the lowest was on 2025-03-28 at 29.38%.
➤ The day with the highest average win rate is Saturday at 45.62%, while the lowest is Monday at 43.96%.
➤ The highest 7-day rolling win rate ended on 2025-07-22 at 56.98%, and the lowest ended on 2025-03-12 at 36.64%.
➤ There were 196 days with above-average win rates and 221 days below average.
➤ A total of 65 days had win rates above 50%, 269 days ranged between 40%–50%, and 83 days fell below 40%.
#TradingPerformance #CommunityInsights
📊 WINRATE & MARKET SENTIMENT (FGI) ANALYSIS — updated through 2025-12-20
Daily winrate data from the scalping community shows the FGI–winrate correlation remains very weak and slightly negative (≈ -0.14). Winrate does not move linearly with FGI; differences become more visible mainly when FGI reaches very high levels.
🔍 Quick interpretation
Extreme Fear (<20) continues to have the highest average winrate; the sample size has grown but is still much smaller than other ranges, so it is better treated as a reference than a primary decision input. Fear (20–<40) stays slightly above the overall average. Neutral (40–60) fluctuates around the average. Greed (60–<80) does not show a clear improvement versus the average. Extreme Greed (≥80) is the lowest-average winrate range in this grouping.
📉 Average winrate by FGI range (with day count)
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
😃 Greed (60–<80): 44.92% — n=214
😐 Neutral (40–60): 45.24% — n=131
😟 Fear (20–<40): 45.96% — n=142
😨 Extreme Fear (<20): 47.09% — n=24
Share of days above the overall average winrate (45.17%) by range:
Extreme Greed 12.00% • Greed 43.93% • Neutral 48.09% • Fear 57.04% • Extreme Fear 62.50%.
📈 Practical implications for scalping
➤ FGI ≥80: consider lowering TP expectations, tightening risk controls, and avoiding overextending profit targets during fast moves.
➤ FGI 20–<80: keep consistent R:R discipline and entry/exit rules; since performance differences across Fear/Neutral/Greed are modest, large strategy shifts are usually unnecessary.
➤ FGI <20: the sample is larger than before but still limited; it can be treated as a statistically more favorable reference condition, while execution quality, drawdown control, and rule adherence remain the main drivers.
#TradingPerformance #MarketSentiment
Daily winrate data from the scalping community shows the FGI–winrate correlation remains very weak and slightly negative (≈ -0.14). Winrate does not move linearly with FGI; differences become more visible mainly when FGI reaches very high levels.
🔍 Quick interpretation
Extreme Fear (<20) continues to have the highest average winrate; the sample size has grown but is still much smaller than other ranges, so it is better treated as a reference than a primary decision input. Fear (20–<40) stays slightly above the overall average. Neutral (40–60) fluctuates around the average. Greed (60–<80) does not show a clear improvement versus the average. Extreme Greed (≥80) is the lowest-average winrate range in this grouping.
📉 Average winrate by FGI range (with day count)
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
😃 Greed (60–<80): 44.92% — n=214
😐 Neutral (40–60): 45.24% — n=131
😟 Fear (20–<40): 45.96% — n=142
😨 Extreme Fear (<20): 47.09% — n=24
Share of days above the overall average winrate (45.17%) by range:
Extreme Greed 12.00% • Greed 43.93% • Neutral 48.09% • Fear 57.04% • Extreme Fear 62.50%.
📈 Practical implications for scalping
➤ FGI ≥80: consider lowering TP expectations, tightening risk controls, and avoiding overextending profit targets during fast moves.
➤ FGI 20–<80: keep consistent R:R discipline and entry/exit rules; since performance differences across Fear/Neutral/Greed are modest, large strategy shifts are usually unnecessary.
➤ FGI <20: the sample is larger than before but still limited; it can be treated as a statistically more favorable reference condition, while execution quality, drawdown control, and rule adherence remain the main drivers.
#TradingPerformance #MarketSentiment
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How I Track My Monthly Trading Performance (And What I Learn) 🧠
If you’re not tracking, you’re not growing.
Here’s my simple system to improve every month
#TradingPerformance #TraderMindset #LevelUp
If you’re not tracking, you’re not growing.
Here’s my simple system to improve every month
#TradingPerformance #TraderMindset #LevelUp
#BinanceSquareBTC
Sharing my recent trades using Binance’s new Trade & PNL Sharing feature! 🚀 Check out my 7-day Spot trading performance. Excited to participate in this amazing campaign with a $4,500 USDC prize pool. Don't miss out—start sharing your trading journey today! #BinanceSquareBTC #TradingPerformance
Sharing my recent trades using Binance’s new Trade & PNL Sharing feature! 🚀 Check out my 7-day Spot trading performance. Excited to participate in this amazing campaign with a $4,500 USDC prize pool. Don't miss out—start sharing your trading journey today! #BinanceSquareBTC #TradingPerformance
📊 WIN RATE & FEAR-GREED INDEX (FGI) ANALYSIS — updated through 2025-10-25
Daily community scalping win-rate data shows the FGI–win rate correlation remains very weak (≈ -0.10). Win rate does not track FGI linearly; the “Extreme Greed” zone remains the riskiest for performance.
🔍 Quick take
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 the win rate down sharply. Extreme Fear (<20) has a small sample, so treat it as indicative only.
📉 Average win rate by FGI band (with days)
😨 Extreme Fear (<20): 45.93% — n=5
😟 Fear (20–<40): 45.54% — n=110
😐 Neutral (40–60): 45.21% — n=126
😃 Greed (60–<80): 44.92% — n=214
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
Share of days above the overall average (44.92%) by band:
Extreme Fear 60.00% • Fear 55.45% • Neutral 48.41% • Greed 45.33% • 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 stretching TP due to FOMO (differences across Fear/Neutral/Greed aren’t large enough to warrant a wholesale strategy shift).
➤ FGI <20: small sample — handle with care; priority remains order management.
#FGIInsights #TradingPerformance
Daily community scalping win-rate data shows the FGI–win rate correlation remains very weak (≈ -0.10). Win rate does not track FGI linearly; the “Extreme Greed” zone remains the riskiest for performance.
🔍 Quick take
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 the win rate down sharply. Extreme Fear (<20) has a small sample, so treat it as indicative only.
📉 Average win rate by FGI band (with days)
😨 Extreme Fear (<20): 45.93% — n=5
😟 Fear (20–<40): 45.54% — n=110
😐 Neutral (40–60): 45.21% — n=126
😃 Greed (60–<80): 44.92% — n=214
🤑 Extreme Greed (≥80): 40.52% — n=25 (lowest)
Share of days above the overall average (44.92%) by band:
Extreme Fear 60.00% • Fear 55.45% • Neutral 48.41% • Greed 45.33% • 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 stretching TP due to FOMO (differences across Fear/Neutral/Greed aren’t large enough to warrant a wholesale strategy shift).
➤ FGI <20: small sample — handle with care; priority remains order management.
#FGIInsights #TradingPerformance
$BTC
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: How is our performance over the last 7 days? 📊
A: Consistency always pays off! 🚀 We have seen a massive +15,662% jump in views and a +75% increase in followers in just a week. 📈 This growth proves that our strategy is hitting the mark and helping the community navigate the market. 🛡️💎
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📊 MacroPulse Performance Update 🚀
Riding the global macro pulse — and results speak for themselves!
✅ Total ROI: +16.08%
💰 Total Profit (PnL): $382,886.59
💼 Total Margin Balance: $201,880
📅 Days Active: 107
🎯 Win Rate: 35.47%
📉 MDD: 98.16%
👥 Subscribers: 2,252 and growing!
Recent moves on SOL/USDT (40x Leverage) have been 🔥, showing strong momentum with smart cross-margin strategy.
📈 MacroPulse continues to deliver — balancing risk, precision, and market timing to stay ahead of the trend.
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$BTC
Riding the global macro pulse — and results speak for themselves!
✅ Total ROI: +16.08%
💰 Total Profit (PnL): $382,886.59
💼 Total Margin Balance: $201,880
📅 Days Active: 107
🎯 Win Rate: 35.47%
📉 MDD: 98.16%
👥 Subscribers: 2,252 and growing!
Recent moves on SOL/USDT (40x Leverage) have been 🔥, showing strong momentum with smart cross-margin strategy.
📈 MacroPulse continues to deliver — balancing risk, precision, and market timing to stay ahead of the trend.
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$BTC
#تقرير_استثماري | أداء المحفظة وتوزيع الأصول$RIF $SOLV $BMT
📅 تاريخ التقرير: 25-06-2025
📈 الأداء اليومي:
ربح يومي قدره +0.75% ما يعادل +$10.44
نتيجة إيجابية تعكس حركة جيدة في السوق خلال اليوم.
📆 الأداء خلال آخر 30 يوم:
الأرباح التراكمية وصلت إلى +$3,878 أي +329.75%!
قفزة قوية تعكس قرارات استثمارية ناجحة وتوزيع ذكي للأصول.
📊 توزيع الأصول:
🔵 Others – 69.46%
🟡 SOLV – 18.25%
🟣 RIF – 12.29%
📌 هذا التوزيع يظهر تنويعًا متوازنًا يساهم في تقليل المخاطر وزيادة العوائد.
💬 شاركوني أداء محافظكم وخططكم للفترة القادمة ⬇️
#تداول #استثمار #سوق_العملات_الرقمية #تحليل_محفظة #توزيع_أصول #BinanceSquare #TradingPerformance
📅 تاريخ التقرير: 25-06-2025
📈 الأداء اليومي:
ربح يومي قدره +0.75% ما يعادل +$10.44
نتيجة إيجابية تعكس حركة جيدة في السوق خلال اليوم.
📆 الأداء خلال آخر 30 يوم:
الأرباح التراكمية وصلت إلى +$3,878 أي +329.75%!
قفزة قوية تعكس قرارات استثمارية ناجحة وتوزيع ذكي للأصول.
📊 توزيع الأصول:
🔵 Others – 69.46%
🟡 SOLV – 18.25%
🟣 RIF – 12.29%
📌 هذا التوزيع يظهر تنويعًا متوازنًا يساهم في تقليل المخاطر وزيادة العوائد.
💬 شاركوني أداء محافظكم وخططكم للفترة القادمة ⬇️
#تداول #استثمار #سوق_العملات_الرقمية #تحليل_محفظة #توزيع_أصول #BinanceSquare #TradingPerformance
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