Core Technologies
AI Infrastructure
Machine Learning Algorithms: Uses Deep Learning models (RNN, LSTM, Transformer) for time-series analysis, identifying trend reversals or continuations.
Natural Language Processing (NLP): Applies NLP to news and social data to gauge market sentiment, combining it with technical indicators to provide comprehensive signals.
Data Infrastructure
Real-time Market Data: Connects to APIs of various exchanges (Binance, Coinbase, FTX, Bybit, etc.) to retrieve price, volume, orderbook, funding rates, etc.
On-chain Analysis Platform: Integrates with tools like Glassnode, Dune Analytics, Nansen to gather wallet data, fund flows, and large transactions.
Decentralized Data Storage (IPFS, Arweave) (optional): Ensures resilient data storage and integrity verification.
Social Media Integration
Twitter API Integration: Automatically posts tweets about signals and market analysis.
Engagement Tools: Manages mentions and hashtags so that the AI chatbot can respond quickly when users tag CandleAgent.
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