Build, run, and scale AI-powered trading workflows and APIs without managing infrastructure. Zorro is a developer-first platform on top of TradingAgents — customizable workflows, historical backtesting, and real-time monitoring included.
Zorro is an AI-powered trading workflow platform for informational purposes only. Not financial advice.
# Trigger a Zorro workflow from Python
from zorro import Client
client = Client(api_key="YOUR_API_KEY")
workflow_id = "research_strategy_execution"
payload = {"symbol": "TSLA", "date": "2025-07-07"}
result = client.workflows.trigger(workflow_id, payload)
print(result.summary)News & Fundamentals
Signals & Risk
Webhook / Broker
Diagram inspired by TradingAgents schema. Animation is illustrative.
Zorro removes orchestration headaches so you can focus on building strategies. Configure multi-agent workflows, backtest on historical data, and trigger execution via SDKs or webhooks — all with developer-first APIs and transparent monitoring.
Start building with REST, WebSocket, and Python SDK. No servers to manage.
Built on the TradingAgents architecture with customizable roles & tools.
Clean interfaces, clear docs, and CLI for fast iteration.
Track and control token spend with built-in metering.
Set up agents via workflow UI or APIs. Define research → strategy → execution.
Customize tasks, tools, and prompts. Backtest with historical data sources.
Execute via webhook or SDK.
Prototype and deploy multi-agent strategies without standing up infra.
Automate research-to-execution pipelines and monitor every decision.
Ship AI-driven trading features without hiring an ML platform team.
Get started and experiment.
Build custom, production workflows.
Scale securely with support.