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I am looking for an experienced MQL5 developer to code a Buy & Sell Grid Martingale EA.
The EA is complex. So if you have not developed a complex EA before, no need to indicate interest.
The EA will be a grid martingale EA that will be able to trade forex, stock, crypto, commodities, indices, etc.
Moving Averages and RSI will be used to open and manage trades
The EA will also add positions to winning trades (cascade), and be able to open recovery trades for losing trades
Trailing stop.
A live trading panel/dashboard
News Filter will be a key feature of the EA
Source code will be needed along with the EA
A detailed specification document will be shared with shortlisted candidates **1. Strategy Overview:** - The trading robot will utilize price action, supply and demand principles, key levels, Fair Value Gaps (FVG), and breaks of structure to identify trade opportunities. The focus will be on confirming entries using the 5-minute and 15-minute timeframes while assessing the trend direction based on the weekly, daily, and 4-hour timeframes. **2. Key Components:** - **Price Action:** Analyze historical price movements for patterns that suggest future direction. - **Supply and Demand Zones:** Identify key supply and demand areas that may serve as critical entry and exit points. - **Key Levels & Order Blocks:** Recognize significant support/resistance levels and order blocks for potential trade setup. - **Fair Value Gaps (FVG):** Assess FVGs on the chart to determine areas for price correction or interaction. - **Break of Structure (BoS):** Identify when price breaks previous structure levels to signal potential reversals or continuations. **3. Trade Entry Criteria:** - Enter a trade when: - Price approaches a defined supply or demand zone or order block. - A bullish or bearish candle pattern confirms the entry (e.g., pin bars, engulfing candles). - There is a break of structure indicating a trend reversal or continuation. - Confirmation is based on analysis in the 5-minute and 15-minute timeframes. - Trend direction is confirmed using daily, weekly, and 4-hour timeframes. **4. Take Profit (TP):** - Set take profit at the nearest supply/demand level or order block identified during analysis for optimal profit capture. **5. Stop Loss (SL):** - Set a stop loss of 20 pips below the previous swing low (for long positions) or above the previous swing high (for short positions) to manage risk effectively. **6. Risk Management:** - Implement risk management practices to ensure a maximum of 1-2% risk per trade based on account balance and position sizing. **7. Backtesting & Optimization:** - Conduct extensive backtesting using historical data to evaluate performance and improve the strategy. - Optimize parameters based on backtesting results to enhance efficiency and profitability. **8. Monitoring & Adjustments:** - Regularly monitor live trading performance and make adjustments as necessary based on changing market conditions.
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