Broker	Any Broker, ECN/ZERO Spread preferred
Leverage	from 1:20
Deposit	min. 200$
Symbol	XAUUSD
Timeframe	H1

Big Data Integration and Trading Strategy

Big data is a cornerstone of CoreX G’s strategy. It processes vast amounts of historical and real-time market data to make well-informed trading decisions. The use of big data enables the system to identify patterns and trends in the Forex market more effectively, leading to more accurate predictions and enhanced trading opportunities. By combining machine learning and big data, the EA dynamically adapts to market changes by continuously incorporating new data and refining its models.

Neural Networks Used

• Convolutional Neural Networks (CNNs): Detect complex patterns and structures in historical market data, identifying profitable trading opportunities early.
• Recurrent Neural Networks (RNNs) with LSTM: Analyze temporal dependencies and forecast future price movements.
• Autoencoders: Simplify data complexity, extracting only the most relevant information to make precise trading decisions.
• Reinforcement Learning: Allows the EA to continuously learn from past trading activities and adapt to changing market conditions.

Advantages of the Big Data Strategy

• Increased Data Processing Capacity: CoreX G can quickly identify significant patterns by processing large data volumes and react instantly.
• Refined Trading Decisions: Big data integration enables more comprehensive analysis, leading to better risk management and optimized trade outcomes.
• Real-Time Analysis: CoreX G tracks market developments in real-time and adjusts trading strategies accordingly.