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tradingperformance

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ScalpingX
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Bullish
📊 TRADING PERFORMANCE & FEAR AND GREED INDEX (FGI) REPORT – UPDATED 08/05/2026 The latest statistical data shows that the correlation between the FGI and Winrate remains low and continues to lean negative (r ~ -0.325). This continues to support the view that FGI is not suitable as a tool for predicting price direction or identifying trade entries, but it still has practical value in quantifying position risk. More specifically, trading performance generally weakens when market sentiment moves into extreme euphoria, making FGI more useful as an early risk-warning signal rather than a signal for expanding profit expectations. Below is a summary of Winrate (WR), minimum breakeven R:R, and 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 45.5% • R:R=1:1.20 • n=145 😨 Fear (20–40): WR 47.2% • R:R=1:1.12 • n=198 😱 Extreme Fear (<20): WR 52.9% • R:R=1:0.89 • n=92 Share of days with performance above the average level (46.70%) by sentiment zone: 🤑 Extreme Greed: 8.0% 🤤 Greed: 36.3% 😐 Neutral: 40.0% 😨 Fear: 55.1% 😱 Extreme Fear: 70.7% ➤ Scalping traders can use FGI as a guide to adjust profit expectations when entering trades: 📈 When FGI is high, profit expectations should be raised to maintain a sufficiently strong R:R, helping offset the risk of a lower win rate. 📉 When FGI is low, profit expectations can be lowered to improve capital turnover speed and make profit-taking easier. #TradingPerformance $BTC $BNB $TON
📊 TRADING PERFORMANCE & FEAR AND GREED INDEX (FGI) REPORT – UPDATED 08/05/2026

The latest statistical data shows that the correlation between the FGI and Winrate remains low and continues to lean negative (r ~ -0.325). This continues to support the view that FGI is not suitable as a tool for predicting price direction or identifying trade entries, but it still has practical value in quantifying position risk. More specifically, trading performance generally weakens when market sentiment moves into extreme euphoria, making FGI more useful as an early risk-warning signal rather than a signal for expanding profit expectations.

Below is a summary of Winrate (WR), minimum breakeven R:R, and 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 45.5% • R:R=1:1.20 • n=145
😨 Fear (20–40): WR 47.2% • R:R=1:1.12 • n=198
😱 Extreme Fear (<20): WR 52.9% • R:R=1:0.89 • n=92

Share of days with performance above the average level (46.70%) by sentiment zone:
🤑 Extreme Greed: 8.0%
🤤 Greed: 36.3%
😐 Neutral: 40.0%
😨 Fear: 55.1%
😱 Extreme Fear: 70.7%

➤ Scalping traders can use FGI as a guide to adjust profit expectations when entering trades:
📈 When FGI is high, profit expectations should be raised to maintain a sufficiently strong R:R, helping offset the risk of a lower win rate.
📉 When FGI is low, profit expectations can be lowered to improve capital turnover speed and make profit-taking easier.

#TradingPerformance $BTC $BNB $TON
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Bearish
📊 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. 👉 Follow and subscribe on Binance to ride the macro pulse with us! #Binance #CryptoTrading #MacroPulse #FuturesTrading #SOLUSDT #TradingPerformance #CryptoProfits $BTC {spot}(BTCUSDT)
📊 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.

👉 Follow and subscribe on Binance to ride the macro pulse with us!
#Binance #CryptoTrading #MacroPulse #FuturesTrading #SOLUSDT #TradingPerformance #CryptoProfits
$BTC
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Bullish
Updated as of 2026-05-08, community-wide trading data: 📊 The average win rate is 46.70% 🏆 The highest win-rate day was 2026-04-01 at 78.08%. The lowest win-rate day was 2026-01-25 at 15.69% 📅 The weekday with the highest average win rate is Wednesday at 47.01%. The weekday with the lowest average win rate is Thursday at 45.85% ⏱️ The strongest 7-day period ended on 2026-04-05, with an average win rate of 63.27%. The weakest 7-day period ended on 2025-03-12, with an average win rate of 36.64% ⚖️ The number of days with a win rate above the average is 312. The number of days with a win rate equal to or below the average is 363 📈 The number of days with a win rate above 50% is 186. The number of days with a win rate between 40% and 50% is 376. The number of days with a win rate below 40% is 113 #TradingPerformance $BTC $TON $BNB
Updated as of 2026-05-08, community-wide trading data:

📊 The average win rate is 46.70%

🏆 The highest win-rate day was 2026-04-01 at 78.08%. The lowest win-rate day was 2026-01-25 at 15.69%

📅 The weekday with the highest average win rate is Wednesday at 47.01%. The weekday with the lowest average win rate is Thursday at 45.85%

⏱️ The strongest 7-day period ended on 2026-04-05, with an average win rate of 63.27%. The weakest 7-day period ended on 2025-03-12, with an average win rate of 36.64%

⚖️ The number of days with a win rate above the average is 312. The number of days with a win rate equal to or below the average is 363

📈 The number of days with a win rate above 50% is 186. The number of days with a win rate between 40% and 50% is 376. The number of days with a win rate below 40% is 113

#TradingPerformance $BTC $TON $BNB
Last updated on 2026-05-08, community trading data: 📊 Average win rate is 46.70% 🏆 The highest win rate day was on 2026-04-01 with a rate of 78.08%. The lowest win rate day was on 2026-01-25 with a rate of 15.69% 📅 The day of the week with the highest average win rate is Wednesday at 47.01%. The day with the lowest average win rate is Thursday at 45.85% ⏱️ The strongest 7-day period ended on 2026-04-05, with an average win rate of 63.27%. The weakest 7-day period ended on 2025-03-12, with an average win rate of 36.64% ⚖️ The number of days with a win rate above average is 312. The number of days with a win rate equal to or below average is 363 📈 The number of days with a win rate above 50% is 186. The number of days with a win rate between 40% and 50% is 376. The number of days with a win rate below 40% is 113 #TradingPerformance $BTC $TON
Last updated on 2026-05-08, community trading data:
📊 Average win rate is 46.70%
🏆 The highest win rate day was on 2026-04-01 with a rate of 78.08%. The lowest win rate day was on 2026-01-25 with a rate of 15.69%
📅 The day of the week with the highest average win rate is Wednesday at 47.01%. The day with the lowest average win rate is Thursday at 45.85%
⏱️ The strongest 7-day period ended on 2026-04-05, with an average win rate of 63.27%. The weakest 7-day period ended on 2025-03-12, with an average win rate of 36.64%
⚖️ The number of days with a win rate above average is 312. The number of days with a win rate equal to or below average is 363
📈 The number of days with a win rate above 50% is 186. The number of days with a win rate between 40% and 50% is 376. The number of days with a win rate below 40% is 113
#TradingPerformance $BTC $TON
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