AI-TaaS relies on a multi-source data aggregation system that feeds into machine learning models for trade optimization. Key components include:
On-Chain Data Aggregators – Scans blockchain activity, including liquidity pool movements, large wallet transactions, and smart contract executions.
Off-Chain Market Data Feeds – Integrates with API-based services such as TradingView, Binance, and decentralized oracles for real-time price updates.
Sentiment Analysis Engine – NLP-driven AI models extract insights from social media (Twitter, Discord, Telegram), news, and crypto influencer sentiment.
Technical Analysis Module – Implements reinforcement learning algorithms to analyze RSI, MACD, Bollinger Bands, Fibonacci retracements, and volatility clusters.