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Job finished
Specification
I am not looking for someone to simply code an MT5 Expert Advisor. I already know how to create EAs and can generate simple strategies myself.
What I am looking for is someone with strong quantitative research and backtesting experience who can find and validate a robust trading strategy.
Objective
Your job is to research and test different entry models to find one that has a real statistical edge.
I do not care which market you use. You may test Forex, Gold, Indices, Crypto, or any other instrument if you believe it offers the best opportunity.
The broker should be compatible with Fusion Markets or RoboForex.
Requirements
The strategy should aim for:
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Minimum of 1 trade per day on average (more is preferred).
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Win rate above 50%.
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Fixed Risk:Reward ratio of 1 : 1.11.
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Fixed risk of 10% per trade (this is my money management plan and should remain unchanged).
The main objective is to find the best possible entry model while keeping these money management rules.
Research Standards
I expect professional validation, including (where appropriate):
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In-sample testing
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Out-of-sample testing
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Walk-forward analysis
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Monte Carlo analysis
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Parameter robustness testing
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Testing across different market conditions
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Avoiding overfitting
Please do not optimize a strategy only for historical data. I am looking for something that remains robust on unseen data.
Deliverables
At the end of the project I would like:
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A clear explanation of the entry logic.
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Backtest results.
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Out-of-sample results.
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Walk-forward and/or Monte Carlo results if used.
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Performance statistics (win rate, number of trades, drawdown, profit factor, expectancy, etc.).
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An explanation of why you believe the strategy is statistically robust.
You are free to create your own simple MT5 EA or testing framework for the research. The quality of the research is much more important than the coding itself.
If you have experience in quantitative trading research, systematic strategy development, and professional backtesting, I would be happy to work with you.