Advanced Multi Timeframe Forex Robot for MT5 Swing Trading

Create a powerful multi-timeframe Forex robot for MT5 that maximizes swing trading

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Overview

This prompt aims to create a sophisticated Forex trading robot for MT5, utilizing a multi-timeframe strategy. Forex traders and developers will benefit from the detailed guidelines and coding framework provided.

Prompt Overview

Purpose: This Forex Robot aims to automate swing trading using multi-timeframe analysis for optimal entry and exit points.
Audience: Designed for advanced traders and developers seeking to enhance their trading strategies with automated solutions.
Distinctive Feature: The robot incorporates customizable parameters and a professional dashboard for real-time performance tracking.
Outcome: Users will benefit from efficient trade management and improved decision-making through automated analysis and execution.

Quick Specs

Variables to Fill

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The Prompt


Develop a professional and advanced Multi Timeframes Forex Robot for MT5 based on the following detailed swing trading, trend-following, and multi-timeframe analysis strategy.
**Strategy Overview:**
**Timeframes and Indicators:**
– Daily timeframe (HTF):
– RSI: 25-period with levels 46 (sell) and 54 (buy)
– ATR: 14-period
– 1-hour timeframe (Semi HTF):
– RSI: 25-period with levels 46 (sell) and 54 (buy)
– ATR: 14-period
– 15-minute timeframe (LTF):
– RSI: 7-period with levels 26 (buy) and 74 (sell)
– ATR: 14-period
**Buy Entry Logic:**
1. HTF:
– Enter first buy when RSI 25 crosses above 54 from below 46, signaling uptrend start; proceed to semi HTF.
2. Semi HTF:
– Confirm HTF RSI remains above 54; enter buy when semi HTF RSI crosses above 54 from below.
3. LTF:
– Confirm semi HTF RSI above 54; enter buy on RSI 7 crossing above 26 at candle close; take all valid RSI 7 crosses maintaining semi HTF RSI restriction.
4. Close all buy trades if HTF RSI crosses below 46 (trend reversal).
**Sell Entry Logic:**
5. HTF:
– Enter first sell when RSI 25 crosses below 46 from above 54, signaling downtrend start; proceed to semi HTF.
6. Semi HTF:
– Confirm HTF RSI remains below 46; enter sell when semi HTF RSI crosses below 46 from above.
7. LTF:
– Confirm semi HTF RSI below 46; enter sell on RSI 7 crossing below 74 at candle close; take all valid RSI 7 crosses maintaining semi HTF RSI restriction.
8. Close all sell trades if HTF RSI crosses above 54 (trend reversal).
**Trade Management:**
– Lot Size: Base lot size at 0.5% of account per trade, with manual override option for fixed lot size (default 1 lot).
– Stop Loss: 2x ATR
– Take Profit:
– 6x ATR for HTF and semi HTF trades;
– 4x ATR for LTF trades.
– Optional Breakeven: Activate at 2.5x ATR plus 0.5x ATR buffer.
– Daily Drawdown Limit: 4% maximum.
**Customization and Additional Features:**
– All indicator parameters and trade management settings must be fully customizable.
– Incorporate magic number and custom trade comment for identification.
– Implement a professional-grade dashboard displaying:
– Trend direction and signal status across all three timeframes
– Current account profit/loss, drawdown, and equity information
**Technical Requirements:**
– Ensure high optimization to prevent memory leaks and array overflows.
– Avoid any lagging through efficient data handling and error catching.
– Implement comprehensive error handling and recovery mechanisms.
**Instructions:**
– Begin by logically reasoning through the multi-timeframe signal conditions and trade execution hierarchy.
– Ensure synchronization between HTF, semi HTF, and LTF signals before placing trades.
– Account for proper candle close timing when applying RSI crossing conditions.
– Integrate all trade management parameters dynamically using ATR values.
– Design the dashboard to be clear, informative, and non-intrusive.
– Test for edge cases such as sudden RSI level shifts or indicator calculation errors.
**Output Format:**
– Provide the complete MT5 Expert Advisor code implementing the above strategy in MQL5 language.
– Include detailed comments within the code explaining each logic segment.
– Supply instructions for customizing indicator and trade parameters.
– Provide notes on optimization techniques used and error handling strategies implemented.
**Example Snippet (placeholder):**
“`mql5
// Check Daily RSI cross above 54
if(RSI_Daily_Previous < 54 && RSI_Daily_Current > 54 && RSI_Daily_Previous < 46) { // Initiate buy entry logic } ``` Maintain professional coding standards and best practices suitable for a commercial-grade trading robot. [/prompt_box]

Screenshot Examples

How to Use This Prompt

  1. Copy the prompt provided above.
  2. Paste it into your preferred coding environment.
  3. Follow the outlined strategy for developing the Forex Robot.
  4. Implement the MQL5 code with detailed comments.
  5. Test the robot for performance and optimization.
  6. Customize parameters as needed for your trading style.

Tips for Best Results

  • Understand Multi-Timeframe Analysis: Ensure synchronization of signals across daily, hourly, and 15-minute timeframes before executing trades.
  • Implement Robust Trade Management: Use ATR for dynamic stop loss and take profit levels, and allow for customizable lot sizes to manage risk effectively.
  • Optimize Performance: Focus on efficient data handling and error catching to prevent memory leaks and ensure the robot runs smoothly without lag.
  • Create an Informative Dashboard: Design a user-friendly dashboard that displays trend direction, signal status, and key account metrics for easy monitoring.

FAQ

  • What is the primary strategy for this Forex robot?
    The strategy focuses on swing trading, trend-following, and multi-timeframe analysis.
  • What indicators are used in the daily timeframe?
    The daily timeframe uses a 25-period RSI and a 14-period ATR.
  • How is the lot size determined for trades?
    Lot size is set at 0.5% of the account per trade, with a manual override option.
  • What is the maximum daily drawdown limit?
    The maximum daily drawdown limit is set at 4%.

Compliance and Best Practices

  • Best Practice: Review AI output for accuracy and relevance before use.
  • Privacy: Avoid sharing personal, financial, or confidential data in prompts.
  • Platform Policy: Your use of AI tools must comply with their terms and your local laws.

Revision History

  • Version 1.0 (February 2026): Initial release.

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