Technical Architecture

CryptAI’s architecture combines real-time data, advanced AI, and a scalable stack to deliver precise insights and future automation. It ensures traders stay ahead in a 24/7 market, making it a cornerstone for retail and institutional users alike.

Data Sources

CryptAI aggregates comprehensive, real-time data:

• Social Media: Scrapes X, Reddit, Telegram, and Discord for sentiment and trends.

• On-Chain Data: Pulls transaction volumes, active addresses, and smart contract events via Dune Analytics.

• News Outlets: Monitors Crypto News Website like Decrypt Daily, The Defiant and Financial Juice for regulatory, project, and macroeconomic updates.

Data Collection

Optimized for low-latency processing:

• Web Scraping: Uses Scrapy for fast extraction from social media and news.

• Web3 Libraries: Employs Web3.js/Ethers.js for direct blockchain data access.

• API Integrations: Leverages Dune Analytics and news APIs for standardized, reliable data.

AI Models

Transforms raw data into actionable insights:

• DeepSeek LLMs:

  • Sentiment Analysis: Gauges market mood from social media and news.

  • Text Summarization: Distills articles and discussions into key points.

  • User Queries: Answers natural language questions interactively.

• XGBoost/LightGBM: Generates buy/sell/hold signals using price, technical indicators, and sentiment.

• Reinforcement Learning (DQN, PPO): Powers automated trading with adaptive strategies, optimizing for profit and risk.

Technology Stack

Built for performance and scalability:

• Front-End: React.js + Next.js for dynamic, fast-loading interfaces.

• Back-End: FastAPI for high-speed, async API handling.

• Databases:

  • PostgreSQL + TimescaleDB: Manages time-series data for price and volume analysis.

  • Elasticsearch: Enables full-text search across text content.

  • Pinecone: Supports semantic search and recommendations via vector embeddings.

• Deployment: AWS with Docker and Kubernetes for scalable, reliable infrastructure.

• Real-Time Handling: WebSockets for live updates; Kafka/Kinesis for streaming data.

• Security: HTTPS encryption, MFA, and secure API key storage.