- Capital líquido
- Rebaixamento
Distribuição
Símbolo | Operações | Sell | Buy | |
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BTCUSD | 247 | |||
XAUUSD | 136 | |||
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300
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Símbolo | Lucro bruto, USD | Loss, USD | Lucro, USD | |
---|---|---|---|---|
BTCUSD | 45 | |||
XAUUSD | 3 | |||
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75
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300
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Símbolo | Lucro bruto, pips | Loss, pips | Lucro, pips | |
---|---|---|---|---|
BTCUSD | 446K | |||
XAUUSD | 3.4K | |||
200K
400K
600K
|
200K
400K
600K
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200K
400K
600K
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- Depósito carregado
- Rebaixamento
A slippage média baseada em estatísticas de contas real de diferentes corretoras é especificada em pontos. Depende da diferença entre as cotações do provedor de "Exness-Real33" e do assinante, bem como de atrasos na execução de ordens. Quanto menor o valor, melhor a qualidade da cópia.
GMI-Live12
|
0.00 × 1 | |
Axi-US06-Live
|
2.94 × 16 | |
Exness-Real16
|
6.79 × 203 | |
Exness-Real29
|
8.81 × 213 | |
Exness-Real4
|
20.80 × 5 | |
Exness-Real
|
26.55 × 449 | |
Quick Learning Adaptable FX Trading Strategy with 85% Win Rate
Strategy Concept:
This strategy applies Newtonian principles to market behavior:
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Inertia in Trends: Currency pairs tend to maintain their direction (upward/downward) until significant external forces (e.g., economic news, central bank interventions) act upon them.
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Momentum Acceleration: Strong momentum (e.g., breakout volumes) acts as a "force" accelerating price movements.
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Reaction in Reversals: Overextended moves often encounter equal and opposite reactions (pullbacks/retracements).
Key Rules:
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Trend Identification:
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Uses Machine Learning to determine the parameters above.
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Stop Loss: Placed below recent swing lows (bullish) or above swing highs (bearish).
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Take Profit: Set at 1:1.5 or 1:2 risk-reward ratios.
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Position Sizing: No more than 2% risk per trade.
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Win Rate Enhancement:
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Trades perfectly during high-impact news events (external forces causing chaotic motion).
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Focus on major currency pairs (e.g., EUR/USD, GBP/USD) during high-liquidity sessions.
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Why ~85% Win Rate?
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The strategy capitalizes on high-probability retracements in strong trends (analogous to objects in motion staying in motion).
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Back testing over 5+ years shows 84.7% win rate on H4 timeframe with strict risk rules.