📖AI Analysis Engine

The AI Analysis Engine is the heart of The Pytheas, responsible for processing market data and generating insights. It includes components for pattern recognition, sentiment analysis, and trend prediction.

• Pattern Recognition: Utilizes deep learning models to identify market trends and patterns. The implementation involves a neural network architecture using TensorFlow, as seen in the Periplus class.

    def _initialize_pattern_recognition(self):
        """Initialize the pattern recognition neural network"""
        model = tf.keras.Sequential([
            tf.keras.layers.LSTM(128, return_sequences=True),
            tf.keras.layers.Dropout(0.2),
            tf.keras.layers.LSTM(64),
            tf.keras.layers.Dense(32, activation='relu'),
            tf.keras.layers.Dense(1, activation='sigmoid')
        ])
        return model

Sentiment Analysis: Employs natural language processing (NLP) to analyze social media and community signals. This is achieved using the Hugging Face Transformers library

    self.sentiment_analyzer = pipeline("sentiment-analysis")
    self.market_patterns = self._initialize_pattern_recognition()

Trend Prediction: Implements time-series analysis to forecast market movements. This involves using LSTM layers in the neural network for sequential data processing.