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мені відомо два правила 90/90/90:
1) 90% новачків за перших 90 днів втрачають 90% свого капіталу
2) 90% часу, 90% монет падають на 90%
як вам такі деталі та правила?
це все статистика психології чи важелі ринку, ви як вважаєте?
#RulesOfSuccess #statistics #TradingStatistics #Squar2earn #squarecreator
мені відомо два правила 90/90/90:
1) 90% новачків за перших 90 днів втрачають 90% свого капіталу
2) 90% часу, 90% монет падають на 90%
як вам такі деталі та правила?
це все статистика психології чи важелі ринку, ви як вважаєте?
#RulesOfSuccess #statistics #TradingStatistics #Squar2earn #squarecreator
How about this 👀:
With an initial deposit of 100 $USDT 💰
Pic 1 – today’s PNL,
Pic 2 – 3M PNL,
Pics 3 & 4 – 3M statistics 🚀
Leverage: 25x, Win rate: ~56%
Share your thoughts/questions in comments!
#monthlyPNL #TradeSmart #SmallDeposit #PNL #TradingStatistics
With an initial deposit of 100 $USDT 💰
Pic 1 – today’s PNL,
Pic 2 – 3M PNL,
Pics 3 & 4 – 3M statistics 🚀
Leverage: 25x, Win rate: ~56%
Share your thoughts/questions in comments!
#monthlyPNL #TradeSmart #SmallDeposit #PNL #TradingStatistics
📊 MARKET INSIGHT: WINRATE, FGI & TAKE-PROFIT PSYCHOLOGY
📈 Daily winrate data from a trading community using R:R risk management reveals a clear relationship between market sentiment (measured via the Fear & Greed Index – FGI) and the likelihood of hitting take-profit (TP) targets. While all traders use a fixed stop-loss of 1R, their TP levels vary — some aim for 1R, others go for 3R, 5R, or even more. As a result, winrate doesn't reflect profitability but rather the probability of reaching TP, regardless of size.
📊 When market days are grouped by sentiment, the statistics show:
🔴 Extreme Fear: Average winrate 44.33% across 15 days
🟠 Fear: Average winrate 45.19% across 95 days
⚪ Neutral: Average winrate 44.57% across 61 days
🟢 Greed: Average winrate 44.62% across 150 days
🟢🟢 Extreme Greed: Average winrate 42.42% across 60 days
📌 The differences may appear small, but the trend is consistent: fear-driven markets tend to yield higher TP success rates, while euphoric markets produce the lowest. This shift isn’t purely due to market conditions — it’s also behavioral.
🚀 In high-FGI conditions, traders often extend their TP targets, convinced that prices will “keep flying.” Ironically, these are the moments when markets tend to stall, reverse, or fake out — leaving many trades unfinished. In contrast, during fear, TP targets are more conservative, and markets often offer clean technical reactions, improving the odds of a completed trade.
🧠 Statistically speaking, winrate doesn’t tell us who’s making the most money — but it does tell us how generous or stingy the market is with follow-through. When viewed through this lens, numbers reveal what sentiment often hides: the more traders expect, the less accurate they tend to become.
#MarketPsychology #TradingStatistics #WinrateLogic
📈 Daily winrate data from a trading community using R:R risk management reveals a clear relationship between market sentiment (measured via the Fear & Greed Index – FGI) and the likelihood of hitting take-profit (TP) targets. While all traders use a fixed stop-loss of 1R, their TP levels vary — some aim for 1R, others go for 3R, 5R, or even more. As a result, winrate doesn't reflect profitability but rather the probability of reaching TP, regardless of size.
📊 When market days are grouped by sentiment, the statistics show:
🔴 Extreme Fear: Average winrate 44.33% across 15 days
🟠 Fear: Average winrate 45.19% across 95 days
⚪ Neutral: Average winrate 44.57% across 61 days
🟢 Greed: Average winrate 44.62% across 150 days
🟢🟢 Extreme Greed: Average winrate 42.42% across 60 days
📌 The differences may appear small, but the trend is consistent: fear-driven markets tend to yield higher TP success rates, while euphoric markets produce the lowest. This shift isn’t purely due to market conditions — it’s also behavioral.
🚀 In high-FGI conditions, traders often extend their TP targets, convinced that prices will “keep flying.” Ironically, these are the moments when markets tend to stall, reverse, or fake out — leaving many trades unfinished. In contrast, during fear, TP targets are more conservative, and markets often offer clean technical reactions, improving the odds of a completed trade.
🧠 Statistically speaking, winrate doesn’t tell us who’s making the most money — but it does tell us how generous or stingy the market is with follow-through. When viewed through this lens, numbers reveal what sentiment often hides: the more traders expect, the less accurate they tend to become.
#MarketPsychology #TradingStatistics #WinrateLogic
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