MetaTrader 5 (MT5) that leverages AI-driven insights and real-time market data

MQL5 Experts

Trabalho concluído

Tempo de execução 8 dias
Comentário do desenvolvedor
Was great working with you, be very specific on logic flow though, will be very helpful when developing

Termos de Referência

### Overview of the Integration

The goal of this integration is to create an Expert Advisor (EA) for MetaTrader 5 (MT5) that leverages AI-driven insights and real-time market data to make informed trading decisions. The system integrates multiple data sources, including OpenAI, MyFXBook, and various financial news websites, to build a comprehensive understanding of the market. This integration aims to provide automated trading recommendations and execute trades based on market sentiment, fundamental analysis, and AI-generated insights.

#### Key Components:

1. **OpenAI**: 
   - Generates trading recommendations based on a prompt that includes market sentiment, news headlines, and economic indicators. The AI analyzes the data and suggests whether to go long or short, as well as specific entry prices, stop losses, and take profit levels.

2. **MyFXBook**:
   - Provides real-time sentiment analysis and fundamental analysis. This data is crucial for understanding how traders are positioned across various currency pairs and how key economic indicators might impact the market.

3. **MT5**:
   - Executes the trades based on the recommendations provided by OpenAI and data from MyFXBook. MT5 acts as the trading platform where all decisions are put into action.

### Workflow Overview

1. **Data Collection**:
   - The EA fetches data from various sources, including news headlines, sentiment analysis, and economic indicators. These sources include financial news websites and MyFXBook for sentiment and fundamental analysis.

2. **Data Parsing**:
   - The collected data is parsed to extract relevant information. News headlines are parsed from RSS feeds, sentiment data is gathered from MyFXBook, and economic indicators are similarly parsed.

3. **Preparing the AI Prompt**:
   - The EA compiles the extracted data into a structured prompt for OpenAI. This prompt includes market sentiment, recent news headlines, and economic indicators.

4. **Sending the Prompt to OpenAI**:
   - The EA sends the prompt to OpenAI, which processes the information and returns trading recommendations, including directions (buy/sell), entry price, stop loss, and take profit levels.

5. **Parsing OpenAI’s Response**:
   - The response from OpenAI is parsed to extract actionable trading recommendations. These recommendations include specific trading strategies based on the market analysis.

6. **Executing Trades**:
   - Based on OpenAI’s recommendations, the EA sends trade orders to MT5. The EA handles the execution, including setting the entry price, stop loss, and take profit levels.

7. **Monitoring and Updating**:
   - The EA continuously monitors the market, periodically fetching new data and updating the AI prompt to adjust trading strategies as needed.

### Brief Overview of the Code Steps

1. **Initialization**:
   - The EA initializes and sets a timer to trigger data collection and analysis at regular intervals (e.g., every 5 minutes).

2. **Data Fetching**:
   - The EA fetches data from multiple URLs, including MyFXBook for sentiment and fundamental analysis, and other financial news sources.

3. **Data Parsing**:
   - The fetched data is parsed. For RSS feeds, titles are extracted, while sentiment and economic data are categorized accordingly.

4. **Prompt Preparation**:
   - A structured prompt is created that combines the parsed data into a format that OpenAI can understand and respond to.

5. **Sending to OpenAI**:
   - The prompt is sent to OpenAI, and the response, which includes trading recommendations, is received and logged.

6. **Trade Execution**:
   - The EA parses the AI response to extract trade details (e.g., buy/sell, entry price, stop loss, take profit). These details are used to execute trades on the MT5 platform.

7. **Continuous Operation**:
   - The EA runs continuously, periodically collecting new data and adjusting trading strategies based on updated AI recommendations and market conditions.

### Integration Summary

By integrating MyFXBook's sentiment and fundamental analysis with OpenAI’s natural language processing capabilities, the EA aims to create a sophisticated trading system that can react to market changes in real time. This system allows for more informed trading decisions by combining human-like reasoning from AI with real-time market data and sentiment analysis. MT5 serves as the execution platform, making the trades based on the insights generated by this integration.

### Brief Overview of the Code Steps

1. **Initialization**:
   - The EA initializes and sets a timer to trigger data collection and analysis at regular intervals (e.g., every 5 minutes).

2. **Data Fetching**:
   - The EA fetches data from multiple URLs, including MyFXBook for sentiment and fundamental analysis, and other financial news sources.

3. **Data Parsing**:
   - The fetched data is parsed. For RSS feeds, titles are extracted, while sentiment and economic data are categorized accordingly.

4. **Prompt Preparation**:
   - A structured prompt is created that combines the parsed data into a format that OpenAI can understand and respond to.

5. **Sending to OpenAI**:
   - The prompt is sent to OpenAI, and the response, which includes trading recommendations, is received and logged.

6. **Trade Execution**:
   - The EA parses the AI response to extract trade details (e.g., buy/sell, entry price, stop loss, take profit AND an overall success confidence score in percentage). These details are used to execute trades on the MT5 platform.

6.a There will need to be an option within the input settings of the E.A that will only allow a recommended trade by open AI if its above a minimum confidence score that will be selected by the user in the inputs section.

7. **Continuous Operation**:
   - The EA runs continuously, periodically collecting new data and adjusting trading strategies based on updated AI recommendations and market conditions.

8. The EA will need to have multiple MODE settings within the EA 
1. ADVISOR - EA WILL ONLY ADVISE ON THE RECOMMENDED TRADES - PRINTED ON THE TERMINAL WINDOW
2. FLITER - THE EA WILL ACT AS A FILTER AND WILL FILTER TRADES OF OTHER EAs ON THE TERMINAL, SO BASICALLY BLOCKING TRADES FROM BEING PLACED BY THE EA IF OPEN AI RESPONSE SAYS THERE ISNT AN OPPURTUNITY AND THE CONFIDENCE SCORE IS NOT HIGH ENOUGH
3. FULL TRADE MODE - THE EA WILL TRADE ON ITS OWN BASED ON OPENAI RESPONSE, SET ENTRY, STOP LOSS AND TAKE PROFIT LEVELS - AS LONG AS THE CONFIDENCES SCORE ALLOWS

9. There will need to be an input box which will tell the EA/OPENAI which symbols it is needing to analyze from all of the data sources it is gathering from the http web request feeds. XAUUSD, EURUSD,USDCHF ETC


I already have some code already done for this project that will need some adjusting to make this work

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