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MQL5 エキスパート ストラテジーの最適化 ストラテジーモジュール

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Project: XAUUSD Gold Trading Robot for MetaTrader 5

I want to develop a fully automated Expert Advisor (EA) for MetaTrader 5, designed exclusively for Gold (XAUUSD) and compatible with the Exness broker.

Trading Strategy: Liquidity + CHOCH + Retest

  1. Identify important buy-side and sell-side liquidity zones using previous highs and lows, equal highs/lows, and confirmed swing points.
  2. Wait for a clear liquidity sweep before considering an entry.
  3. Confirm a Change of Character (CHOCH) using closed candles and market structure.
  4. Wait for a retest of the confirmed break level before entering a trade.
  5. Use multi-timeframe analysis: M15 for liquidity and market structure, and M1 or M5 for entry confirmation.
  6. Avoid trades when the market structure is unclear or the conditions are not fully confirmed.

Risk Management

  • Use a configurable risk percentage per trade, with a default of 0.5% of account equity.
  • Calculate lot size based on stop-loss distance and account risk.
  • Always use a stop loss and take profit.
  • Default risk-to-reward ratio: 1:2.
  • Maximum one open position at a time.
  • Add a configurable maximum daily loss limit and daily trade limit.
  • No martingale, no grid trading, and no uncontrolled lot increases.
  • Respect the broker's minimum lot size, lot step, spread, and stop-level requirements.

Additional Features

  • Trade only during configurable London and New York sessions.
  • Include a maximum spread filter and an optional high-impact news filter.
  • Add an optional break-even feature.
  • Prevent duplicate entries and excessive trading.
  • Display entry reason, liquidity sweep, CHOCH, retest, stop loss, take profit, and risk information on the chart.
  • Include detailed logs and error handling.

Testing and Delivery Requirements

  • Develop the EA in MQL5 source code (.mq5).
  • Provide the compiled EA (.ex5), complete source code, and installation instructions.
  • Ensure compatibility with MetaTrader 5 and Exness.
  • Backtest using real available tick data where possible, including spread and commission.
  • Provide backtest reports and explain the limitations of the results.
  • Make all strategy and risk settings configurable.
  • The robot must be tested on a demo account before any live trading.
  • Do not promise guaranteed profits. Prioritize capital protection and reliable execution.

Please provide the estimated development cost and delivery time before starting the project.

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