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How to Order a Trading Robot in MQL5 and MQL4
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New orders in the category:
30 - 200 USD
30+ USD
50+ USD
300 - 3000 USD
Specification
To develop a fully functional EA trading advisor that replicates the performance of an existing successful trading system. The EA to be created by reverse engineering a 1-year historical track containing all deals and orders, utilizing an "Octopus"-like strategy involving multiple Moving Averages (MAs) and additional indicators for order placement and grid-like order multiplication.
Project Scope
- Data Analysis: Examine and interpret the provided 1-year trading data to understand the underlying strategy.
- Strategy Identification: Identify the specific indicators and logic used for trade entry, order multiplication, and grid management.
- EA Development: Code the identified strategy into a MetaTrader-compatible EA.
- Backtesting & Optimization: Validate the EA's performance through backtesting, ensuring it mirrors the original strategy's profit and drawdown metrics.
Subtasks
Subtask 1: Identify Trade Entry Points
- Analyze the historical data to identify patterns and signals preceding each trade entry.
- Identify the types and configurations of indicators used.
- Document the criteria for initiating a new trade.
- Examine the sequence and conditions under which additional orders are placed.
- Identify the grid parameters, such as distance between orders, maximum number of multiplications, and order sizing rules.
Subtask 3: Develop the EA Code
- Code the trade entry logic
- Incorporate risk management features such take-profit, and maximum drawdown limits.
Subtask 4: Backtest and Validate the EA
- Conduct back testing using the provided 1-year historical data.
- Compare the EA’s performance metrics (profit, drawdown, number of trades, etc.) with the original track.
- Optimize parameters if necessary to achieve similar performance outcomes.
On top of budget you will get a working strategy similar to original which has proven 4-years successful track.
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Budget
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