Tâche terminée
Temps d'exécution 8 jours
Commentaires de l'employé
Was great working with you, be very specific on logic flow though, will be very helpful when developing
Spécifications
### 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.
I already have some code already done for this project that will need some adjusting to make this work
### 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
Répondu
1
Évaluation
Projets
0
0%
Arbitrage
0
En retard
0
Gratuit
2
Évaluation
Projets
2
0%
Arbitrage
0
En retard
1
50%
Gratuit
Commandes similaires
Make it work -Expert advisor
30+ USD
//+------------------------------------------------------------------+ //| EMA + Resistance Break & First Retest EA - ATR SL/TP - Risk 3% | //| Fully working MT4 EA | //+------------------------------------------------------------------+ #property strict //---- Inputs input double RiskPercent = 3.0; input int ATR_Period = 14; input double SL_ATR_Multiplier = 1.5; input double TP_ATR_Multiplier
SMC Trading Bot
50 - 100 USD
📌 Looking for MQL5 Developer – Institutional SMC EA Specification Hello everyone, I am looking for a highly experienced MQL5 developer to build a fully automated Expert Advisor (EA) based strictly on Smart Money Concepts (SMC) , designed to operate and pass prop firm accounts . 🔍 Core Strategy Requirements (SMC Only) The EA must be based on institutional Smart Money Concepts , including: ✅ Market Structure (BOS
Create simple EA
30 - 60 USD
Start BUY:- when i click start BUY button new panel should open which should contain bellow points:- Trigger Price Time frame Cross/Close RR ration Trailing Stop ratio Maximum Trade count Risk (percentage or cash) (Option to Increase risk when SL hit) Remove Trigger (True/False ) I will explain above point one by one here bellow •Trigger price :- here we enter price at which when market cross or
MT5 EA Developement
60+ USD
I’m a trader looking to develop a non-repainting indicator intended for integration with an EA. I identified a comparable indicator on the MQL5 Market, but it’s unclear whether its logic can be accessed or automated for algorithmic execution
Tradingview indicator
30+ USD
I want to check if this indicator is repainting or not Whick mean the results of back testing is legit or not if anyone can help me to review it kindly to well to contact me i will be happy to work and go on long term work with anyone thanks
Bot sympaFX
30+ USD
Stratégie : "Institutional Flow Scalper" La stratégie repose sur la confluence de la tendance structurelle et de la valeur moyenne pondérée . Actifs cibles : EURUSD, GBPUSD (Spread faible, forte liquidité). Sessions : Londres (09h00 - 12h00) et New York (14h30 - 17h30 GMT+1). Indicateurs : EMA 200 : Filtre de tendance long terme (M5). VWAP : Ancre du prix institutionnel. On achète sous le VWAP en tendance haussière
PrimeFlowEA — v1 Specification Objective: PrimeFlowEA v1 is designed to enforce disciplined, rule-based execution within a single daily trading session. The goal of v1 is correct behavior and execution discipline , not optimization or performance tuning. 1. Market & Time Platform: MetaTrader 5 (MQL5) Symbol(s): User-selectable (single symbol per chart) Execution timeframe: Configurable (default: M5 / M15)
Top manager
70 - 120 USD
A multi-symbol, rule-based trade management Expert Advisor designed to recover, neutralize, and scale out of DCA baskets using intelligent closing logic and full manual control through an on-chart dashboard. The EA continuously scans multiple symbols and monitors all open trades with a specific magic number. Based on trader-enabled rules (R1–R4) and Break-Even modes (BE1–BE3), it selectively closes trades when
Development of an MQL5 Expert Advisor (Reverse Engineering)
1000 - 2000 USD
Specifications – Development of an MQL5 Expert Advisor (Reverse Engineering) Project context: I have access to a real trading history consisting of more than 500 trades executed over a period of approximately 3 years. These trades have been exported into a CSV file containing all available information, including date, time, symbol, order type, entry price, and exit price. Important: I do not have access to the
1.Sinyal Perdagangan : Sinyal beli: garis MACD utama memotong garis sinyal ke atas (macd_current>signal_current && macd_previous<signal_previous). Sinyal jual: garis MACD utama memotong garis sinyal ke bawah (macd_current<signal_current && macd_previous>signal_previous). Gambar di bawah menunjukkan kasus beli dan jual. 2. Posisi ditutup pada sinyal yang berlawanan: Posisi beli ditutup pada sinyal jual, dan posisi
Informations sur le projet
Budget
30+ USD
Délais
de 1 à 5 jour(s)