Analyst Team
Market, sentiment, news, and fundamentals analysts collect evidence from prices, public data, and external context.
Multi-agent financial research for trading decisions.
CTA TradingAgents coordinates analysts, researchers, trader, risk managers, and portfolio manager into one structured research loop. It is built for market analysis, scenario debate, and decision support.
Agent Stack
Research Debate
Bull and bear researchers pressure-test the thesis before a research manager summarizes the investment view.
Trader
The trader converts research into an actionable plan, including direction, timing, and rationale.
Risk & Portfolio
Risk managers and portfolio manager review exposure, failure modes, and final approval.
Research Flow
Run The Private Codebase
git clone https://github.com/liangwenzheng/TradingAgents.git
cd TradingAgents
python -m venv .venv
source .venv/bin/activate
pip install .
tradingagents
The deployed site is a Cloudflare Pages project portal. The Python TradingAgents runtime requires API keys and a server or local machine to execute the actual multi-agent workflow.