Specifiche


**Description:**

I am looking for an experienced MQL4 programmer to develop a sophisticated Expert Advisor (EA) for MetaTrader 4 (MT4) using a **Hidden Markov Model (HMM)** to predict market trends for forex trading. The EA will be used for live trading on forex pairs like EUR/USD and should incorporate statistical modeling with advanced machine learning algorithms.


### **Requirements:**

- **Strong MQL4 Expertise**: Proven experience in coding complex EAs for MT4, with a deep understanding of the MQL4 language and functions.

- **Hidden Markov Model (HMM) Knowledge**: Familiarity with HMM algorithms and their application in financial markets. Experience in statistical modeling, machine learning, or similar fields is a plus.

- **Trading Logic Implementation**: The EA should:

  - Train on historical price data (e.g., the last 1000 bars).

  - Predict market states (Bullish, Bearish, or Neutral).

  - Place buy orders when Bullish, sell orders when Bearish, and remain inactive when Neutral.

  - Include risk management features (configurable Stop Loss, Take Profit, and percentage risk per trade).

- **Customization Options**: The EA should allow easy adjustment of parameters like timeframe, indicators, and the number of HMM hidden states.

- **Efficient and Scalable Code**: Code must be optimized for performance to handle real-time data and prevent excessive CPU/memory usage during live trading.

- **Backtesting Support**: The EA must be compatible with MT4’s Strategy Tester for effective backtesting and optimization.


### **Additional Skills (Preferred but Not Required):**

- **Python and HMM Libraries**: Familiarity with Python HMM libraries (such as `hmmlearn` or `pomegranate`) for algorithm prototyping and translation to MQL4.

- **Experience with Risk and Money Management Systems**: Ability to implement dynamic position sizing, trailing stops, and other risk management techniques.


### **Deliverables:**

- A fully functional and well-documented EA for MT4 using HMM.

- Source code with comments explaining the key components and logic.

- Backtesting results and support for live trading.


### **Compensation:**

- **Competitive and negotiable** based on experience and qualifications.  

- I am open to milestone-based payments to ensure that the project meets expectations at every stage.


### **Application Process:**

If you are interested, please provide:

1. A brief summary of your experience with MQL4, machine learning, and HMM or related models.

2. Examples of previous EAs you’ve developed (if applicable).

3. Your proposed timeline and estimated cost for this project.


### **Contact Information:**

Please send your application or any questions directly to me via [Forum PM] or [Email].


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Informazioni sul progetto

Budget
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