tempus-labs 1.0.2

Next-Gen Quant AI Agents Framework on Solana

Tempus Labs

Your Gateway to Smarter Solana Market Intelligence

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

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Overview

Features

Feature	Description
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.

Quick Start Guide

Prerequisites

• Python 3.10+
• LLM API Key(OpenAI, Deepseek)
• Chromedriver

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Installation

1. Install Tempus:

   pip install tempus-labs==1.0.0
   

2. Create the Environment File: Set up a .env file to store your API key securely:

   OPENAI_API_KEY=your_api_key # Fill if you are using OpenAI
   DEEPSEEK_API_KEY=your_api_key # Fill if you are using Deepseek
   

3. Basic usage:

   from tempus.agents import QuantAIAgent
   
    # Initialize with default settings (OpenAI)
    agent = QuantAIAgent()
    
    # Basic analysis
    response = agent.chat("Analyze BTC market trends")
    print(response)
    
    # Streaming responses
    for chunk in agent.chat_stream("What's happening with ETH?"):
    chunk.pretty_print()
   

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Congratulations!

You're now ready to explore the power of Tempus Labs for AI-driven quantitative insights on the Solana ecosystem!

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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Support

For questions or issues, visit our GitHub repository or open an issue.