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Best Manual and Auto Trade Strategy in the World

truesmc

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Trend Filter, Momentum & Smart Exit System

1. Trend Filter — is responsible for identifying the primary market direction. Trades are allowed only when all trend indicators align. This creates a bias toward high-probability setups that follow the dominant market trend.

Indicator used:

SMA 20 (Weekly). Long term trend filter based on weekly movement.
SMA 60 & SMA 120 (Daily). Confirm medium and long term daily trend alignment.
CMF W1 & D1. Money Flow validation to measure buying/selling pressure.
MACD W1 & D1 Histogram slope used to confirm trend acceleration.
MBFX H4 Detects overbought/oversold conditions.
RSI Weekly Buy zone: 51–75, Sell zone: 49–25.
Monthly Pivot. Monthly pivot levels excluding R/S 3 & 4.

2. Trade Momentum — Precision Entry Timing is designed to catch short term momentum that aligns with the primary trend. This ensures entries occur during moments of strong price acceleration.

Indicator used:

Fibonacci 78% & 100% (Daily) Identify deep pullbacks in trending markets.
MACD M15 Histogram direction confirms momentum shift.
OBV M15 Volume confirmation to support the move.

3. Any Exit — Smart and Flexible Trade Closing Exit logic is crucial for profitability.

Combine trailing protection and Fibonacci targets to capture gains efficiently. Exit Method FunctionTrailing Lock 25 pips Secures profits automatically as price moves favorably. Fibonacci 100% (Daily) Major extension target where price often reverses.

Conclusion

This structured system provides discipline, consistency, and powerful through trend confirmation, momentum timed entries, and flexibleprofit locking exits. It is suitable for both manual and EA driven trading environments. Traders can expect improved trade quality by combining multi timeframe analysis with robust exit management.
 

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The strongest manual strategy is simple trend-following with clear entries, defined risk, and strict stop-loss discipline. The strongest auto strategy uses tested algorithms, stable risk controls, and consistent position sizing. Both work best when kept rules-based, data-driven, and adaptable to changing market conditions without emotion or excessive complexity.
 
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