MQPython5 Nexus
- Yardımcı programlar
- Erick Gabriel Palma Montufar
- Sürüm: 2.0
- Güncellendi: 10 Eylül 2025
- Etkinleştirmeler: 5
Empowering MQL5 with an AI Brain in Python
Use *** Grok 4 and Chatgpt 5 ***
🎁 Try Our AI System with 10 Free Daily Analyses
Experience the power of AI for free: Every 24 hours, receive 10 free analyses directly in your terminal. Our system, by default, is configured to offer you high-precision signals on the 1-hour timeframe, every 3 hours.
These analyses have a real cost in tokens from cutting-edge AI APIs like GPT-5 and Grok. We appreciate you valuing this access and considering our premium options if the service you find useful.
🚀 Unlock Full Potential: Free Premium Access
We offer FREE and unlimited access to our advanced trading system to all traders who open an account under our IB. Get the full license and customize the EA for scalping or any strategy.
For new accounts:
Open Account Under Our IB Affiliate Code: bczkFor existing accounts: Contact RoboForex support and request to be placed under our affiliation (code: bczk).
After setup: Leave your account number in the comments section to receive your FREE premium license.
This article presents a hybrid trading architecture that merges the execution speed of an Expert Advisor (EA) in MQL5 with the analytical intelligence of a Python server. Discover how to delegate complex technical and macroeconomic analysis tasks to the most advanced artificial intelligence APIs (GPT-5 and Grok), dynamically managing risk and obtaining high-precision trading signals.
Contents
- 1. Introduction: Breaking MQL5 Barriers
- 2. Transparency Panel: Real Results
- 3. The General Architecture: A Look at the Hybrid System
- 4. Access Modes: Free, Premium, and Licensed
- 5. The Python Brain: The AI Analysis Server
- 6. Decoding the AI Brain: A Real Example
- 7. Conclusion and Next Steps
1. Introduction: Breaking MQL5 Barriers
Expert Advisors (EAs) in MQL5 are exceptionally fast for order execution. However, when trying to implement complex analysis logics, such as processing real-time news or applying advanced Machine Learning models, we encounter the inherent limitations of the platform.
The Challenge: How to build an EA that not only reacts to technical indicators but also understands the global macroeconomic context, analyzes complex patterns with cutting-edge AI (GPT-5 and Grok), and dynamically manages risk in real-time?
The Solution: A hybrid architecture. Our system uses MQL5 for what it does best (interacting with the trading terminal) and delegates the heavy lifting of analysis to an external server programmed in Python. This "brain" in Python leverages the power of the most modern AI APIs to return a clear and actionable trading signal to MQL5.
2. Transparency Panel: Real-Time Results
We believe in total transparency. That's why we have developed a public control panel where you can see the results of our system in real-time, operating on real user accounts. No filters, no delays: just the real performance of our AI.
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3. The General Architecture: A Look at the Hybrid System
Communication between MQL5 and Python is achieved through web requests (HTTP), where MQL5 acts as the client and Python as the analysis server. The following diagram illustrates the workflow:
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- EA (MQL5): Collects market data and packages it into a JSON.
- EA (MQL5): Sends an asynchronous POST request to the Python server to avoid freezing the terminal.
- Server (Python): Receives the request, initiates background analysis, and returns a `task_id`.
- Server (Python): Performs multifaceted analysis using Grok for technical analysis and GPT-5 for institutional macroeconomic analysis.
- EA (MQL5): Periodically queries the task status with the `task_id`.
- EA (MQL5): Upon receiving the final JSON result, it decodes it and executes the corresponding operation.
Essential Configuration: Enable WebRequest in MetaTrader 5
For the Expert Advisor (EA) in MQL5 to communicate with our Python analysis server, it is essential to enable the WebRequest function in your MetaTrader 5 terminal and add our server's URL to the list of allowed URLs. Follow these steps:
- Open your MetaTrader 5 terminal.
- Go to "Tools" > "Options" (or press Ctrl+O).
- In the Options window, select the "Expert Advisors" tab.
- Make sure the option "Allow WebRequest for listed URLs" is checked.
- In the text field below this option, add the following URL: http://62.146.176.107:5000/api
- Click "OK" to save the changes.
Without this configuration, the EA will not be able to send or receive data from the AI server, and therefore, will not function correctly.
4. Access Modes: Choose Your Power
We have designed three access modes so you can choose the one that best suits your trading needs.
Mode 1: Free Access (Default)
Ideal for testing the accuracy of our system. You will receive 10 high-quality daily analyses at no cost.
- Daily Analyses: 10 signals every 24 hours.
- Fixed Timeframe: Analysis optimized for H1.
- Frequency: A new analysis every 3 hours.
- Customization: Not available.
Mode 2: Premium License (Free via Affiliation)
The recommended option. Unlock the full power of the EA simply by opening an account with our affiliate link. Perfect for serious traders and scalpers.
- Unlimited Analyses: No daily restrictions.
- Customizable Timeframe: Ideal for scalping on M1, M5, or any timeframe!
- Adjustable Frequency: Request analyses when you need them.
- Full Access: All features and future updates included.
Mode 3: Premium License (Direct Payment)
If you prefer not to use the affiliate link, you can purchase the full license and enjoy all the benefits of premium mode.
- Price: $300 for 3 months.
- Advantages: Includes all Premium License features (unlimited analyses, customizable timeframe and frequency).
5. The Python Brain: The AI Analysis Server
The Python server, built with Flask, is the core of the intelligence. Its architecture is designed to maximize precision and manage costs efficiently.
🧠 Strategic Selection of AI APIs:
-
Grok API (xAI): Used for technical analysis due to its exceptional logical reasoning and cost efficiency ($3.00/1M input tokens, $15.00/1M output tokens).
-
GPT-5 (OpenAI): Used for macroeconomic analysis with real-time web search capabilities, providing institutional-grade market insight ($5.00/1M input tokens, $25.00/1M output tokens).
Cost-Benefit Analysis:
Operating AI trading systems requires meticulous cost management. Our architecture is transparent and optimized for long-term economic viability.
- Technical Analysis (Grok API): Approximate cost per analysis: ~$0.00025 - $0.00055 USD.
- Macroeconomic Analysis (GPT-5): Approximate cost per analysis: ~$0.004 - $0.007875 USD.
- Total Cost per Signal: Combining both analyses, the total cost is ~$0.00425 - $0.008425 USD per signal.
With an average cost of $0.00634 per signal, a system generating 100 daily signals would have an approximate monthly cost of $190. This becomes economically viable when operating positions greater than $3,000, where a single successful trade can cover months of AI analysis costs.
6. Decoding the AI Brain: A Real Example
To illustrate the depth of the analysis, below is a concrete example of the JSON response generated by our system for a trading signal in Gold (XAUUSD).
Example JSON Response:
{ "trading_signal": { "direction": "BUY", "entry_point": 3330.45, "stop_loss": 3329.1, "take_profit": 3331.8, "justification": "Technical analysis shows a strong bullish trend with volatility contraction. Recent Reuters news about a possible Fed rate cut in September is highly positive for XAUUSD, as it would weaken the USD. Additionally, increasing geopolitical tensions in the Middle East reinforce demand for gold as a safe-haven asset." }, "risk_management": { "exact_lots": 0.05, "max_money_loss": 87.65 }, "macro_institutional_analysis": { "relevant_news": [ {"source": "Reuters", "title": "Fed Signals Possible Rate Cut in September", "impact": "HIGH", "effect": "Positive for Gold"} ] }, "deep_technical_analysis": { "main_trend": "Bullish (15.8° angle)", "harmonic_pattern_detected": "Bullish Gartley (medium reliability)" } }
7. Conclusion and Next Steps
We have built a powerful hybrid architecture that overcomes the limitations of MQL5, opening up a world of possibilities for advanced algorithmic trading. By intelligently separating execution from complex analysis, we can integrate the most cutting-edge tools from the Python ecosystem, including next-generation AI models, into our trading strategies.
We hope this guide inspires you to experiment, innovate, and take your algorithmic trading strategies to the next level.