XAUUSD High-Performance Scalping Bot

指定

Objective:
Develop a MetaTrader 5 (MT5) Expert Advisor (EA) that specializes in scalping XAUUSD with the goal of achieving very high monthly returns (50–70%) under strict risk control parameters.


Scope and Goals

  • Trading Instrument: XAUUSD only.

  • Strategy Type: Scalping (high-frequency short trades).

  • Target Monthly Return: 50% to 70% (under optimal conditions).

  • Risk Management:

    • Max allowable drawdown: 15% or less.

    • Strict and consistent risk control must be embedded into the EA.

  • Main Priority:

    • Maximize safe, consistent, scalable profit over time, without exposing the account to catastrophic risks.


Developer Freedom

  • Trading Logic:

    • Developer is free to design the scalping strategy based on their expertise and proven techniques.

    • Developer can combine technical indicators, price action methods, order flow, or any hybrid approach.

  • Entry and Exit Rules:

    • Developer decides the optimal timing for entries and exits.

  • Risk Controls:

    • Developer chooses the best risk management techniques suitable for scalping.


Mandatory Requirements

1. Scalping Focus

  • Trades must aim for small, consistent profits.

  • Expected average holding time: few seconds to a few minutes.

  • Prefer trading during high liquidity periods.

2. Risk Management

  • Fixed Risk Per Trade:

    • Risk a small % of the account per trade (suggested 0.5% or developer’s recommended value).

  • Stop Loss Required:

    • Every trade must have a clearly defined stop loss, tight but dynamic if needed.

  • Maximum Daily Loss Protection:

    • Bot must stop trading for the day if:

      • A set number of consecutive losses is hit (e.g., 3–5 losses).

      • Or a fixed percentage daily loss limit is reached (e.g., 5%).

3. Take Profit and Trade Closure

  • Scalping-style small take profits.

  • Use of partial closes, trailing stops, or other smart techniques to maximize winning trades is allowed.

  • Hard maximum trade duration (e.g., force close trades after 5 minutes if not already closed).

4. Trading Sessions

  • Bot should only trade during favorable trading hours, preferably:

    • London session (03:00 – 06:00 EST)

    • Early New York session (08:00 – 11:00 EST)

  • No trading during major high-impact news releases unless logic accounts for it.

5. Lot Sizing and Scaling

  • Dynamic lot size based on account balance and pre-defined risk % per trade.

  • As the account grows, lot sizes should adjust proportionally.

6. Spread Protection

  • Minimum spread condition:

    • Only enter trades if spread is below a specified limit (e.g., 2.5 pips or lower).


Additional Features

Visual Dashboard

  • Show:

    • Balance

    • Equity

    • Daily Profit/Loss

    • Total Trades Today

    • Wins and Losses Today

    • Status of Open Trades

    • Session Active or Not

Sounds and Alerts

  • Sound alerts when:

    • A trade is opened.

    • A trade is closed.

  • Optional mobile push notifications for trade closures.

Settings/Inputs

  • Adjustable parameters:

    • Risk per trade (%)

    • Maximum daily loss limit (%)

    • Maximum daily wins/losses

    • Trading hours

    • Take profit (pips)

    • Stop loss (pips)

    • Spread filter


Technical Requirements

  • Platform: MetaTrader 5 (MQL5).

  • Code must be lightweight, optimized, and fast for low-latency execution.

  • Error Handling:

    • Handle connection losses, order errors, and invalid symbol issues safely.

  • No external DLLs unless absolutely necessary.

  • Provide:

    • Live version (for real trading).

    • Backtest version (with adjustable parameters for optimization).


Performance Expectations

Metric Target
Monthly Return Goal 50% to 70%
Max Drawdown Under 15%
Win Rate Target 70%+
Trade Frequency Multiple trades per day

Important Notes
  • Focus on stability first, then aggressiveness within controlled risk.

  • I am looking for scalable consistent profits.

  • Strategy should be tested in both backtests and live demo environment before final delivery.


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