Assisted buy
This project combines Chronicle Oracle's reliable price feeds with Cartesi's computational capabilities to create a sophisticated price prediction system for digital assets.
Project Description
This project combines Chronicle Oracle's reliable price feeds with Cartesi's computational capabilities to create a sophisticated price prediction system for digital assets. The integration enables complex computations off-chain while maintaining blockchain security and decentralization. Chronicle Oracle Integration
Real-Time Price Feeds
Direct integration with Chronicle's ETH/USD, BTC/USD, and other major pairs Sub-second price updates for rapid market response Tamper-proof price data verified by Chronicle's validator network Self-kissing mechanism for immediate oracle access
Data Validation & Aggregation
Multiple price sources for enhanced accuracy Outlier detection and filtering Volume-weighted average price (VWAP) calculations Historical price data storage for trend analysis
Cartesi Machine Learning Pipeline
Off-Chain Computation
Advanced ML models running in Cartesi's Linux runtime Support for popular data science libraries (NumPy, Pandas, scikit-learn) Complex technical analysis indicators Neural network-based price prediction
Prediction Features
Multi-timeframe analysis (short-term, medium-term, long-term) Confidence scoring based on market conditions Volatility forecasting Risk assessment metrics
Smart Contract Architecture
Main Components
Oracle Interface Contract
Handles Chronicle Oracle data ingestion Price feed validation and updates Emergency pause mechanisms
Prediction Engine Contract
Interfaces with Cartesi Rollups Manages prediction submissions Handles reward distribution
User Interaction Contract
Stake management Prediction submissions Performance tracking
How it's Made
This project combines Chronicle Oracle's reliable price feeds with Cartesi's computational capabilities to create a sophisticated price prediction system for digital assets. The integration enables complex computations off-chain while maintaining blockchain security and decentralization. Chronicle Oracle Integration
Real-Time Price Feeds
Direct integration with Chronicle's ETH/USD, BTC/USD, and other major pairs Sub-second price updates for rapid market response Tamper-proof price data verified by Chronicle's validator network Self-kissing mechanism for immediate oracle access
Data Validation & Aggregation
Multiple price sources for enhanced accuracy Outlier detection and filtering Volume-weighted average price (VWAP) calculations Historical price data storage for trend analysis
Cartesi Machine Learning Pipeline
Off-Chain Computation
Advanced ML models running in Cartesi's Linux runtime Support for popular data science libraries (NumPy, Pandas, scikit-learn) Complex technical analysis indicators Neural network-based price prediction
Prediction Features
Multi-timeframe analysis (short-term, medium-term, long-term) Confidence scoring based on market conditions Volatility forecasting Risk assessment metrics
Smart Contract Architecture
Main Components
Oracle Interface Contract
Handles Chronicle Oracle data ingestion Price feed validation and updates Emergency pause mechanisms
Prediction Engine Contract
Interfaces with Cartesi Rollups Manages prediction submissions Handles reward distribution
User Interaction Contract
Stake management Prediction submissions Performance tracking
