Introduction
Last updated
Last updated
Contract Address: xfvD3fVnrxMMeanjcU7Aym84hDL9VFrMun92nTLpump
Tempus is a Quant AI Agent Framework designed for the Solana ecosystem, providing users with the tools to build, deploy, and customize AI-driven quantitative analysis models. By leveraging modular architecture and AI-powered analytics, Tempus enhances decision-making in crypto markets, offering deep insights into:
Token performance
Portfolio management
Market trends
Tempus redefines Quant AI Agent development on Solana by offering a modular, Python-powered framework for market screening, portfolio analysis, and algorithmic strategy execution. As decentralized finance and crypto trading evolve, Tempus stands as a key tool for developers, analysts, and investors seeking AI-driven, data-backed decision-making in the blockchain ecosystem.
Quant AI Agent Framework
Tempus enables users to create and deploy their own QUANT AI Agents, allowing for automated quantitative modeling, strategy backtesting, and real-time market insights.
Modular & Extensible Design
A plug-and-play architecture allows users to integrate custom modules and adapt Tempus to specific analytical and trading strategies.
AI-Powered Market Insights
Advanced reasoning models analyze token metrics, liquidity trends, and trading volumes to help users identify market opportunities.
Portfolio Analysis via Solana Wallet
Tempus connects with Solana wallets, enabling automated tracking of holdings, transaction histories, and risk assessments.
Python-Based Flexibility
Built on Python, Tempus provides an accessible development environment for implementing and refining quantitative strategies.
Real-Time On-Chain Data Analysis
Tempus seamlessly retrieves and processes Solana blockchain data, including token listings, price action, and transaction flows.
Secure & Transparent
Tempus ensures data integrity, security compliance with blockchain best practices, and an open and adaptable framework.
Tempus Labs utilizes advanced technology to create engaging and impactful AI Agents:
Langchain – A powerful framework for building AI-driven applications with modular components and seamless integrations.
Python 3.10 – Ensures compatibility with modern Python features, offering efficient and clean code development.
Dexscreener API – Provides real-time market data and analytics for comprehensive token performance insights.
Solana RPC API – Facilitates fast and secure interaction with the Solana blockchain for on-chain data analysis.
Agnostic LLM Models – Advanced large language models enabling deep market analysis and predictive insights.