Neural Processing

The Neural Processing Layer serves as the agent's real-time data analysis engine, incorporating various machine learning techniques and financial indicators:

• Deep Learning Models: These models analyze vast amounts of raw market data, spotting patterns and anomalies that may indicate trading opportunities.

• Technical Indicators: The agent integrates key trading indicators such as Relative Strength Index (RSI), Fibonacci Retracements, and Moving Averages to inform its trading decisions, allowing it to recognize price trends and market sentiment shifts.

• Sentiment Analysis: By analyzing crypto-related social media channels (Twitter, Telegram, etc.) using Natural Language Processing (NLP), the agent gauges market sentiment, influencing its decisions. This helps the agent determine whether market sentiment is bullish or bearish and adjust strategies accordingly.