🛠 Technical Architecture
XORBOT AI is built with a modular, multi-layered architecture to ensure speed, scalability, and reliability in automated trading. Below is a streamlined breakdown of its core components.
1. Data Acquisition Layer
Real-time data collection from blockchain nodes, decentralized exchanges (DEXs), and off-chain sources (Telegram, Twitter, Discord).
Direct integration with Ethereum, Solana, and Binance Smart Chain using Web3.js, Ethers.js, and RPC endpoints.
Aggregates off-chain data via APIs and web scrapers to track sentiment, contract mentions, and market trends.
Apache Kafka pipelines process high-frequency data streams in real-time.
2. Core Processing Layer
AI-powered signal engine detects high-potential tokens by analyzing on-chain and off-chain data.
Machine learning models trained on historical token launches, whale buying patterns, and sentiment shifts.
Combines pattern recognition, natural language processing (NLP), and statistical models for better prediction accuracy.
Reinforcement learning continuously improves sniping strategies based on market data.
Event-driven architecture ensures immediate signal dispatch through RabbitMQ.
3. Automated Trade Execution Layer
Sniping bot executes trades based on AI-generated signals.
Private RPC nodes enable fast transaction submission with minimal latency.
Flashbots integration prevents front-running and Miner Extractable Value (MEV) issues.
Dynamic slippage control optimizes trade execution based on liquidity conditions.
Supports multiple DEXs like Uniswap, Raydium, and PancakeSwap, with modular connectors for future integrations.
Gas optimization engine calculates the most efficient gas fees to minimize transaction costs.
4. Data Storage & State Management
Uses Redis for in-memory caching and TimescaleDB for historical data storage.
Real-time state management enables instant access to token prices, whale positions, and user portfolios.
Historical data supports machine learning model training and performance analytics.
Parallelized data indexing processes large volumes of on-chain transactions efficiently.
5. User Interface & API Layer
Web-based dashboard, built with React, provides real-time insights, performance metrics, and customizable trading options.
Whale tracking allows users to monitor high-value wallet movements.
Portfolio management includes real-time value tracking and trade history.
RESTful and WebSocket APIs enable programmatic interaction and custom trading strategy integrations.
6. Security & Redundancy
Smart contracts undergo regular audits to ensure security and reliability.
MEV protection mechanisms prevent front-running and sandwich attacks.
Failover systems and replicated databases ensure high availability.
Automated backups provide disaster recovery and data resilience.
7. Governance & Token Mechanism
DAO-driven governance allows token holders to participate in decision-making.
Staking enables users to lock tokens for premium features and passive rewards.
Revenue-sharing model directs a portion of platform profits to buybacks and token burns.
Last updated