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TradingAgents Framework - Project Knowledge

Project Overview

Multi-agent LLM trading framework using LangGraph for financial analysis and decision making.

Development Environment

Conda Environment: trasingagetns

Before starting any development work, activate the conda environment:

conda activate trasingagetns

Architecture

Agent Factory Pattern: create_X(llm) → closure pattern
3-Tier LLM System:
- Quick thinking (fast responses)
- Mid thinking (balanced analysis)
- Deep thinking (complex reasoning)
Data Vendor Routing: yfinance (primary), Alpha Vantage (fallback)
Graph-Based Workflows: LangGraph for agent coordination

Key Directories

tradingagents/agents/ - Agent implementations
tradingagents/graph/ - Workflow graphs and setup
tradingagents/dataflows/ - Data access layer
cli/ - Command-line interface

Agent Flow (Existing Trading Analysis)

Analysts (parallel): Fundamentals, Market, News, Social Media
Bull/Bear Debate
Research Manager
Trader
Risk Debate
Risk Judge

Scanner Flow (New Market-Wide Analysis)

START ──┬── Geopolitical Scanner (quick_think) ──┐
        ├── Market Movers Scanner (quick_think) ──┼── Industry Deep Dive (mid_think) ── Macro Synthesis (deep_think) ── END
        └── Sector Scanner (quick_think) ─────────┘

Phase 1: Parallel execution of 3 scanners
Phase 2: Industry Deep Dive cross-references all outputs
Phase 3: Macro Synthesis produces top-10 watchlist

Data Vendors

yfinance (primary, free): Screener(), Sector(), Industry(), index tickers
Alpha Vantage (alternative, API key required): TOP_GAINERS_LOSERS endpoint only (fallback for market movers)

LLM Providers

OpenAI, Anthropic, Google, xAI, OpenRouter, Ollama

CLI Entry Point

cli/main.py with Typer:

analyze (per-ticker analysis)
scan (new, market-wide scan)

Configuration

tradingagents/default_config.py:

LLM tiers configuration
Vendor routing
Debate rounds settings

Patterns to Follow

Agent creation: tradingagents/agents/analysts/news_analyst.py
Tools: tradingagents/agents/utils/news_data_tools.py
Graph setup: tradingagents/graph/setup.py

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