Windshield Price Action Slope EMA MT4

Price Action Strategy: Slope EMA

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? 1. Utilizing Slope of EMA as a Signal

This system monitors the slope of the Exponential Moving Average (EMA), waiting for price breakout from consolidation before confirming trend direction:

• Buy Entry: When the EMA slope turns positive and price is above the EMA

• Sell Entry: When the EMA slope turns negative and price is below the EMA

? 2. Signal Filters for Precision

• EMA Filter: Buy only above EMA, Sell only below EMA

• ADX Filter: Avoid entries if ADX < 10 (low trend strength)

• Spread Control: No trade if spread exceeds limit

• Price Distance Filter: Avoid entries when price is excessively far from EMA

? Key Features of the EA

1. Customizable Timeframes: Compatible with M1–H4

2. Risk Management: Equity-based lot sizing, Max Drawdown limit

3. Flexible SL/TP Settings: Supports RR ratios like 1:2, 1:3, or custom values

4. Trailing Stop Mechanism: Automatically locks in profits

5. Fully Automated 24/7: Ideal for passive income generation

? Recommended Setup for Slope EMA EA

• Platform: MetaTrader 4/5 (MT5 recommended)

• Timeframe: H1 (1 Hour), 6 set files avilable for M1, M5, M15, M30, H1 and H4

• Currency Pair: XAUUSD (Gold vs. USD)

• Minimum Capital: $100 (>$1,000 recommended)

• Broker: Reputable broker with low spreads

✅ Strengths & ❗ Limitations

✅ Strengths:

• Approx. 80% win rate, Drawdown < 3% ($10,000 capital)

• $6,200 profit in 1-year backtest

• Robust trend analysis and risk management structure

❗ Limitations:

• Trades only during strong, clearly defined slopes

⚙️ EA Parameter Breakdown

Core Strategy

• TimeFrame = 1H

• EMA_Period = 19

• Candle_Body_pips = 51

• Slope_Candles = 8

• Slope_Pips = 170

Signal Filters

• Spread = 40

• ADX_Period = 51

• ADX_Score = 14

• Distance_near_EMA = 4500

• Distance_far_EMA = 0

Risk Management

• Lot_Devided = 200,000

• SL = 1690 pips / TP = 2720 pips

• Trailing Stop = 50 pips, Step = 120, Start = 2200

Advanced Options

• On_Recovery = false

• Consecutive_losses = 2

• Recovery_Lot = 2.0

? Lot Calculation Examples

• Capital $10,000 → 10,000 / 200,000 = 0.05 Lots

• Capital $1,000 → 1,000 / 100,000 = 0.01 Lots

• Capital $100 → 100 / 200,000 = 0.01 Lots (rounded up)

? Algorithmic trend-following strategy with slope-based validation for safer, high-probability entries.