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Integration of AI into an Existing Trading Bot on MQL5

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Specifiche

Project Description: I am looking for an experienced developer in MQL5 and artificial intelligence to improve my existing trading bot. My bot currently operates with classic technical indicators, and I would like to integrate an AI component to enhance its performance and adaptability to the market.

Technical Details:

  • The bot is coded in MQL5 and operates via the MetaTrader 5 

  • I would like to integrate an AI model capable of analyzing market data in real-time and adjusting the bot's parameters accordingly.

  • The AI model can be a simple neural network or a machine learning algorithm such as XGBoost, Random Forest, or another suitable solution.

  • The AI must be able to incorporate alternative indicators that I am already using.

Main Objectives:

  • Improve the accuracy of entry and exit signals.

  • Make the bot more responsive to market trend changes.

  • Optimize risk management in real-time.

Required Skills:

  • Proven experience in MQL5 development.

  • Strong knowledge of machine learning and AI applied to trading.

  • Ability to create an adaptive learning system.

Expected Deliverables:

  • Documented and functional source code.

  • Clear instructions for installing and using the AI with my existing bot.

  • An explanation session for proper handling.

Budget and Deadlines: I am open to discussing the budget based on the complexity of the project and the proposed deadlines.

Please contact me with examples of similar projects you have completed and your ideas for effectively integrating AI.


Con risposta

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Pubblicati: 2 codici
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Pubblicati: 3 codici
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import ccxt import pandas as pd import numpy as np import talib import time # Configuration exchange = ccxt.binance({ 'apiKey': 'VOTRE_API_KEY', 'secret': 'VOTRE_SECRET_KEY', }) # Paramètres de trading symbole = 'BTC/USDT' timeframe = '1h' montant = 100 # en USDT stop_loss = 0.98 # 2% de perte maximale take_profit = 1.03 # 3% de gain def recuperer_donnees(): ohlcv = exchange.fetch_ohlcv(symbole, timeframe

Informazioni sul progetto

Budget
500 - 2000 USD
Scadenze
a 30 giorno(i)