AI Engine

Model Type:

• SynaptAI uses a hybrid AI model combining:

  • Natural Language Processing (NLP) for conversational interactions

  • Time-Series Forecasting Models (ARIMA, Prophet, and LSTM variants) for price predictions

  • Sentiment Analysis Models powered by transformer-based architectures (e.g., BERT, RoBERTa)

  • Reinforcement Learning for model fine-tuning based on feedback loops

Data Sources:

• Live price data (via Chainlink, Binance APIs)

• On-chain analytics (wallet movements, token distribution)

• Social sentiment (Twitter, Reddit, Telegram, news feeds)

• Historical chart patterns

• Technical indicators (RSI, MACD, Volume, MA, etc.)

The models are continuously retrained using updated market data to improve forecast accuracy and responsiveness.