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The 20x Setup ZEC Traders Are Ignoring
Entry: 375-380 🟩
Target: 405-450 🎯
Stop Loss: 365 🛑
The backtest data on $ZEC is screaming low risk, high reward. We are seeing a major compression zone ready to break. This is the definition of asymmetric risk—a tight stop loss protecting massive upside potential. If you missed the last setup, you cannot ignore this structure. Prepare for takeoff.
This is not financial advice.
#ZEC #Altcoins #CryptoTrading #Backtest 🚀
Entry: 375-380 🟩
Target: 405-450 🎯
Stop Loss: 365 🛑
The backtest data on $ZEC is screaming low risk, high reward. We are seeing a major compression zone ready to break. This is the definition of asymmetric risk—a tight stop loss protecting massive upside potential. If you missed the last setup, you cannot ignore this structure. Prepare for takeoff.
This is not financial advice.
#ZEC #Altcoins #CryptoTrading #Backtest 🚀
🧠 ICT 9:30AM Model: The Smart Money Blueprint You Shouldn’t Ignore
Backtested and proven.
The ICT (Inner Circle Trader) 9:30AM Indices Model is gaining major attention and for good reason. Backtests show it consistently pinpoints institutional entry zones and high-probability reversals.
📅 Happy Sunday, Fam! While the market rests, the smart money sharpens their edge.
⏰ What’s the ICT 9:30AM Model?
At exactly 9:30AM EST when traditional U.S. markets open liquidity grabs and false moves are common. The ICT model helps traders:
• Identify manipulation zones
• Spot liquidity raids
• Time precise entries and exits using the indices as confirmation
🔁 Backtest Results:
• ✅ Increased win rate for intraday setups
• ✅ Consistent entry points aligned with market structure
• ✅ Filters out retail traps before real moves start
💡 Why This Matters for Crypto Investors $ETH $XRP :
Even though crypto trades 24/7, $BTC and Ethereum often follow U.S. indices behavior during major moves. By applying ICT principles to crypto around key times, you gain institutional-level timing.
🚀 Final Alpha:
ICT concepts aren’t just theory they’re being actively used by prop traders, institutions, and elite retail traders. Backtest the 9:30AM Model. Master it. Then dominate.
📊 Alpha is earned, not given. Learn the patterns. Trade like the pros only on Binance Square.
#StrategyBTCPurchase ICT #930AMModel #SmartMoney #Backtest #Indices #Bitcoin #BinanceSquare #LiquidityHunt #CryptoStrategy #SundayAlpha
The ICT (Inner Circle Trader) 9:30AM Indices Model is gaining major attention and for good reason. Backtests show it consistently pinpoints institutional entry zones and high-probability reversals.
📅 Happy Sunday, Fam! While the market rests, the smart money sharpens their edge.
⏰ What’s the ICT 9:30AM Model?
At exactly 9:30AM EST when traditional U.S. markets open liquidity grabs and false moves are common. The ICT model helps traders:
• Identify manipulation zones
• Spot liquidity raids
• Time precise entries and exits using the indices as confirmation
🔁 Backtest Results:
• ✅ Increased win rate for intraday setups
• ✅ Consistent entry points aligned with market structure
• ✅ Filters out retail traps before real moves start
💡 Why This Matters for Crypto Investors $ETH $XRP :
Even though crypto trades 24/7, $BTC and Ethereum often follow U.S. indices behavior during major moves. By applying ICT principles to crypto around key times, you gain institutional-level timing.
🚀 Final Alpha:
ICT concepts aren’t just theory they’re being actively used by prop traders, institutions, and elite retail traders. Backtest the 9:30AM Model. Master it. Then dominate.
📊 Alpha is earned, not given. Learn the patterns. Trade like the pros only on Binance Square.
#StrategyBTCPurchase ICT #930AMModel #SmartMoney #Backtest #Indices #Bitcoin #BinanceSquare #LiquidityHunt #CryptoStrategy #SundayAlpha
For all those who don't take my post seriously, its not fluke.
50% booked already, bonus trade is running. Final target will be <0.1
#OneTradingSetup
#backtest
50% booked already, bonus trade is running. Final target will be <0.1
#OneTradingSetup
#backtest
✅ BACKTEST #SUCCESS 3 COINS JUST CONFIRMED BREAKOUT LEVELS!
These coins broke key resistance, retested the level, and bounced classic confirmation setups:
📈 Backtest Watchlist:
• $ARB – Clean retest of $0.52, strong bounce on 4H
• $WIF – Reclaimed $0.26 after quick dip, meme energy rising
• $SUI – Retested $0.91 with volume backing the hold
💡 Tip: Breakout → retest → bounce = high-probability setup.
Which one do you want a full setup on?
Comment “#BACKTEST ” & I’ll chart it next!
#BinanceAlphaAlert #TrumpTariffs #BinanceAlphaPoints
These coins broke key resistance, retested the level, and bounced classic confirmation setups:
📈 Backtest Watchlist:
• $ARB – Clean retest of $0.52, strong bounce on 4H
• $WIF – Reclaimed $0.26 after quick dip, meme energy rising
• $SUI – Retested $0.91 with volume backing the hold
💡 Tip: Breakout → retest → bounce = high-probability setup.
Which one do you want a full setup on?
Comment “#BACKTEST ” & I’ll chart it next!
#BinanceAlphaAlert #TrumpTariffs #BinanceAlphaPoints
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
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
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