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I am building a professional-grade survival EA for USDJPY designed to:
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Repeatedly pass FTMO-style challenges
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Sustain long-term funded accounts
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Deploy safely across multiple prop accounts
This is not a retail scalper.
This is a controlled EMA pullback engine with strict risk governance and anti-correlation logic.
All parameters must be configurable. Defaults must match exactly as listed.
Core Strategy – EMA Pullback Continuation Model
Instrument:
USDJPY
London Session Only
Trend Framework
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Primary trend filter: (EMA 50 ...configurable)
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Optional higher confirmation: (EMA 200 ...configurable)
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Trade direction allowed only when:
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Price > EMA 50 → Long bias
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Price < EMA 50 → Short bias
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No trading during flat EMA compression (configurable slope filter optional)
Entry Structure
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Trend confirmed via EMA position
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Price pulls back into EMA zone (configurable tolerance: default ±1 pip)
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Confirmation candle closes back in trend direction
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Entry at break of confirmation candle high/low
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Maximum 2 trades per day
Default Trade Parameters
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Stop Loss: 10 pips (configurable)
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Take Profit: 20 pips (configurable)
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Break-even trigger: +10 pips
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Break-even offset: +1 pip
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Trailing Stop: ON
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Trailing Distance: 15 pips
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Hidden SL/TP (stealth mode): ON
This creates:
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Controlled frequency
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Structured R:R (1:2 default)
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Limited daily variance
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Prop-safe statistical edge
Risk & Survival Engine (Prop-Firm Compliant)
| Parameter | Default | Configurable |
|---|---|---|
| Risk per trade | 1% equity | Yes |
| Max daily loss | 2% | Yes |
| Max total drawdown | 8% | Yes |
| Daily profit lockout | 2% | Yes |
| Max trades/day | 2 | Yes |
| Max open trades | 1 | Yes |
| Pause after daily breach | ON | Yes |
| Friday shutdown | 21:00 UK | Yes |
| Emergency equity kill switch | ON | Yes |
EA must auto-disable trading if limits are breached.
Survival > aggression.
Session Controls
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London session: 06:30 – 12:30 (configurable)
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Optional second session (disabled by default)
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Weekend trading: OFF
Execution Protection
| Parameter | Default |
|---|---|
| Max spread | 2.0 pips |
| Max slippage | 2.0 pips |
| Trade cooldown | 10 minutes |
| Min time between trades | 5 minutes |
| News filter structure | Placeholder ready |
All configurable.
Multi-Account Anti-Correlation Engine (Critical)
Designed to safely run across multiple funded accounts.
| Feature | Default | Configurable |
|---|---|---|
| Entry delay randomization | ±15 sec | Yes |
| Lot size micro-variation | ±3% | Yes |
| SL/TP micro offset | ±1 pip | Yes |
| Spread tolerance variation | ±0.2 pip | Yes |
| Slippage variation | ±0.2 pip | Yes |
| Random signal skip | 5% | Yes |
| Execution jitter | ON | Yes |
All randomization toggleable ON/OFF.
Objective: break identical trade signatures while preserving core logic integrity.
Money Management Modes
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Fixed lot (default 0.10)
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% equity risk (default 1%)
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% balance risk (OFF)
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Auto-compound (ON)
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Weekly scaling multiplier (default 2.0 – optional)
All configurable.
Dashboard Requirements
On-chart display showing:
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Balance
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Equity
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Daily P/L
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Current DD %
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Lot size
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Risk %
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Trading status (Active / Paused / Locked)
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Session status
Fully customizable (font, color, position).
Technical Requirements
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Clean professional MQL5 architecture
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Modular structure
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No warnings
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Proper error handling
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Live execution stability!
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Back-test compatible( Test only run on real account with real tick based on the real ticks!)
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Efficient CPU usage
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Clear input organization
.................................................................................................................
🔒 Delivery Requirements
Include:
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Full MQ5 source code (not EX5 only)
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No external DLL unless pre-approved
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Must compile with zero errors & zero warnings
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Structured OOP code (separate modules: Entry, Risk, News, Management)
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News filter must support:
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High / Medium / Low impact toggle
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Pre-news buffer (X minutes)
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Post-news buffer (X minutes)
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Symbol filtering
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Budget
Max: $120
Quality and structural correctness are more important than speed.
When Applying
Please include:
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Relevant prop-firm EA experience
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Example projects
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Estimated delivery time
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Confirmation you understand survival-focused architecture
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Confirmation you can implement structured randomization properly