Specifiche
Hello,
I am looking for an experienced MQL5 developer/trader who can provide or develop a highly selective XAUUSD (Gold) trading strategy based on failed/false breakouts.
🎯 Main Objective
Our number one priority is LOW AND CONTROLLED DRAWDOWN.
Profit is secondary.
We are not looking for an EA that makes huge profits or takes a large number of trades. We prefer a strategy that takes fewer, high-quality trades and maintains a stable and controlled risk profile over a long period.
A strategy making modest profits with a very low drawdown is much more interesting to us than an aggressive EA with high returns and high drawdown.
📌 Strategy Concept
We are interested in a strategy that identifies failed breakouts / false breakouts.
For example:
Resistance:
Price breaks above the level → fails to continue → returns below the level → confirmation/retest → SELL.
Support:
Price breaks below the level → fails to continue → returns above the level → confirmation/retest → BUY.
The strategy should not enter immediately on every breakout.
We want the entry to be highly selective and based on meaningful confirmation that the breakout has actually failed.
The exact confirmation logic is open to your expertise.
🔍 What We Are Looking For
- XAUUSD / GOLD
- MT5 / MQL5
- Failed breakout / false breakout concept
- Very selective entries
- Low and controlled drawdown
- Robustness over many market conditions
- No Martingale
- No Grid
- No aggressive recovery systems
- No unrealistic risk
- Configurable trading/session hours
- Broker server time should be configurable
- Configurable risk management
- Clear and understandable trading logic
🕐 Sessions / Levels
We are open to different approaches.
The strategy may use:
- Asian session levels
- London session levels
- New York session
- Intraday highs/lows
- Previous session levels
- Other objectively defined support/resistance levels
We are not insisting on one specific session.
If you have experience with XAUUSD and believe another approach produces a more robust failed-breakout strategy, we are interested in hearing your proposal.
📊 Backtesting
We want to test the strategy over a long historical period, ideally 2019–2026, and evaluate each year separately.
Our main focus will be:
- Maximum drawdown
- Yearly drawdown
- Consistency
- Number of trades
- Consecutive losses
- Profit factor
- Yearly performance
- Behaviour in different market conditions
- Robustness without excessive optimization
We care much more about controlled drawdown than maximum profit.
For example, a strategy producing modest annual returns with approximately 2–3% drawdown could be much more interesting to us than an EA producing significantly higher returns with 10–15% drawdown.
The profit target is not fixed. We want to see what the strategy can naturally produce while maintaining a strong risk profile.
💻 Existing EA / Demo
If you already have a working EA or demo based on a similar concept, you are welcome to present it.
We are open to evaluating an existing solution rather than necessarily developing everything from scratch.
Please provide, if available:
- EA/demo
- Set files
- Backtest results
- Strategy explanation
- Recommended settings
- Any relevant information about the development
We are not obligated to purchase an existing EA.
We will first test and evaluate the strategy ourselves.
🔐 Source Code
If we decide that the strategy is suitable and proceed with the project/purchase, the complete MQL5 source code must be available and delivered.
Please clearly state whether full .mq5 source code is included.
⚠️ Important
We are not interested in unrealistic backtests or heavily over-optimized systems.
We prefer:
Low drawdown + robustness + consistency
over:
Maximum profit + high risk
If you have an existing strategy that fits these requirements, or if you have a strong idea for developing one, please explain your approach and provide examples/backtests if available.
Thank you.