WinRate

📊 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

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📊 Updated on 2025-08-02, based on community-wide trading data:

➤ The average win rate is 44.66%

➤ The highest win rate was on 2025-07-20 at 65.03%. The lowest was on 2025-03-28 at 29.38%

➤ The weekday with the highest average win rate is Friday (45.46%), while Monday has the lowest (44.03%)

➤ The 7-day period with the highest average win rate ended on 2025-07-22 at 56.98%. The lowest was the period ending on 2025-03-12 at 36.64%

➤ There were 184 days with a win rate above average and 211 days below average

➤ Days with win rate above 50%: 59. Between 40%–50%: 258. Below 40%: 78

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📈 Top Chart Patterns Ranked by Success Rate | Don’t Trade Blindly! 🚀

Not all patterns are created equal — some are far more reliable than others when it comes to predicting price action.

Here are the Top Performing Chart Patterns by success rate:

✅ High-Confidence Patterns:

1️⃣ Inverse Head & Shoulders – 84%
2️⃣ Head & Shoulders – 82%
3️⃣ Double Bottom – 82%
4️⃣ Channel Up – 73%
5️⃣ Channel Down – 72%

⚠️ Mid-Tier Reliability:

6️⃣ Descending Triangle – 70%
7️⃣ Double Top – 69%
8️⃣ Ascending Triangle – 68%
9️⃣ Flag – 68%

❗ Lower Confidence – Use With Caution:

🔻 Falling Wedge – 66%
🔻 Rising Wedge – 65%
🔻 Triangle – 62%
🔻 Rectangle – 58%
🔻 Pennant – 56%

—

Pro Tip: Focus on high-probability patterns like Inverse H&S, Double Bottoms, and Channels when planning your trades. Combine with volume for confirmation!

📈 Trading smarter > trading harder
📲 Like & Follow for more trading stats, pattern breakdowns & signal updates!

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💡 *Tip: FOLLOW THE RULES, NOT THE EMOTIONS*

Want to trade smarter on Binance? Stick to your strategy—not your feelings. Here’s how:
1. Track Every Trade
Write down or log every trade you make. This builds awareness and discipline.
2. Calculate Your #winrate
For example, if you win 8 out of 10 trades, your win rate is 80%. Use this to measure your strategy’s effectiveness.
3. Trust Proven Strategies
If your method consistently shows a high win rate, stick with it. Don’t switch randomly.
4. Keep Trade Sizes Consistent
Use the same amount in each trade. Avoid letting emotion guide you to go “all-in.”
5. Avoid Overconfidence

Even with a high win rate, one big loss can wipe out gains if you overbet. Protect your capital.
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Consistency, discipline, and solid risk management have been the keys to staying ahead. No reckless moves, just calculated trades. 📈

✅ Cumulative PNL: +27.62%
✅ Win Rate: 100% (Perfect streak!)

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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.

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📊 Risk Management is KEY! 🔑

Understanding Risk-to-Reward Ratios can make or break your trading game. 🎯

✅ 1:1 ➡️ Need 51% win rate
✅ 1:2 ➡️ Only need 34% win rate
✅ 1:3 ➡️ Just 26% win rate!

💡 The higher the reward compared to your risk, the lower your win rate needs to be to stay profitable. This is the power of smart trading strategy.

🧠 Trade with logic, not emotion.
💸 Protect capital. Maximize gains.

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📊 WINRATE ANALYSIS BASED ON MARKET SENTIMENT (FEAR & GREED INDEX)

Using daily winrate data from July 2024 to mid-May 2025, and aligning it with the CMC Fear and Greed Index, we divided the market sentiment into four key phases:

Extreme Fear – until March 20, 2025
Fear – March 21 to April 10, 2025
Neutral – April 11 to May 3, 2025
Greed – May 4 to May 13, 2025 (last date in dataset)

After compiling and calculating, the average winrate during each sentiment phase is as follows:

Neutral: 48.86% ✅
Greed: 46.21%
Fear: 45.42%
Extreme Fear: 43.47% ❗

📌 Insights:

The Neutral period yielded the highest trading performance over the past year, while the Extreme Fear phase showed the lowest winrate, reflecting unstable market conditions and defensive investor behavior.

Interestingly, even during the Greed phase, winrate didn’t spike as expected. This suggests that despite optimistic sentiment, the market may be more volatile and prone to traps — especially for momentum-based entries.

🧠 Suggested strategy:

The Neutral zone appears to be the most optimal period for stable trading with strong R:R potential. In contrast, during the Greed phase, risk management should be tightened to avoid overexposure and FOMO-driven decisions.

📌 Data range: July 3, 2024 – May 13, 2025
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📈 Top Chart Patterns Ranked by Success Rate | Don’t Trade Blindly! 🚀

Not all patterns are created equal — some are far more reliable than others when it comes to predicting price action.

Here are the Top Performing Chart Patterns by success rate:

✅ High-Confidence Patterns:

1️⃣ Inverse Head & Shoulders – 84%
2️⃣ Head & Shoulders – 82%
3️⃣ Double Bottom – 82%
4️⃣ Channel Up – 73%
5️⃣ Channel Down – 72%

⚠️ Mid-Tier Reliability:

6️⃣ Descending Triangle – 70%
7️⃣ Double Top – 69%
8️⃣ Ascending Triangle – 68%
9️⃣ Flag – 68%

❗ Lower Confidence – Use With Caution:

🔻 Falling Wedge – 66%
🔻 Rising Wedge – 65%
🔻 Triangle – 62%
🔻 Rectangle – 58%
🔻 Pennant – 56%

—

Pro Tip: Focus on high-probability patterns like Inverse H&S, Double Bottoms, and Channels when planning your trades. Combine with volume for confirmation!

📈 Trading smarter > trading harder
📲 Like & Follow for more trading stats, pattern breakdowns & signal updates!

#tradingcharts #ChartSetup #winrate #inversehead&shoulder

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Update as of 2025-05-31, based on community-wide trading data:

The average win rate is 44.19%.

The highest daily win rate was on 2025-04-27, reaching 57.78%, while the lowest was on 2025-03-28 at 29.38%.

The weekday with the highest average win rate is Friday at 45.33%, and the lowest is Monday at 43.35%.

The 7-day period with the highest average win rate was from 2025-04-21 to 2025-04-27, averaging 52.18%. The lowest was from 2025-03-06 to 2025-03-12, with 36.64%.

There are 164 days with a win rate above the average, and 168 days below it.

There are 38 days with a win rate over 50%, 228 days between 40% and 50%, and 66 days below 40%.

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Update as of 2025-06-07, based on community-wide trading data:

The average win rate is 44.11%.

The highest win rate occurred on 2025-04-27 at 57.78%, while the lowest was on 2025-03-28 at 29.38%.

The day of the week with the highest average win rate is Friday at 45.20%, and the lowest is Monday at 43.19%.

The 7-day period with the highest average win rate is from 2025-04-21 to 2025-04-27, averaging 52.18%. The lowest-performing 7-day period is from 2025-03-06 to 2025-03-12, with an average of 36.64%.

There are 166 days with a win rate above the average, and 173 days below it.

There are 38 days with a win rate above 50%, 232 days between 40% and 50%, and 69 days below 40%.

#winrate #tradingstats #backtest