FOR DEVELOPERS
Compose Autonomous Agents Seamlessly
AgentQuant offers a Python-first SDK for quants to integrate agents into their research effortlessly.
WHAT IT DOES
Revolutionize Your Trading Desk
Define agent graphs in Python and deploy them seamlessly.
Integrate Jupyter for first-class support and collaboration.
Share strategies with a thriving community on Hugging Face.
Access open backtest connectors for common market-data feeds.
BUILT FOR
Made for Developer
Developers
Build resilient agents effortlessly.
Quantitative Traders
Streamline your research.
Hedge Fund Quants
Deploy strategies seamlessly.
THE OLD WAY
Before AgentQuant
- 01 Manual agent frameworks requiring extensive configuration.
- 02 Lack of integration with Jupyter for seamless workflows.
- 03 Limited community support for strategy sharing.
AgentQuant replaces all of this.
QUESTIONS
Common questions
What problem does AgentQuant solve?
Developers struggle with building resilient language agents due to fragmented tools and a lack of a cohesive framework.
Who is AgentQuant for?
AgentQuant is built for developers, including quantitative traders and hedge fund quants.
How do people solve this today?
Most people currently rely on the langgraph agent framework, LangGraph, Ollama, or Bubble Tea. These approaches often fall short.
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