Commit Graph

5 Commits

Author SHA1 Message Date
swj.premkumar 24edac65c4 - **Standalone HTML Reports**: Refactored report generation to perform server-side Markdown-to-HTML rendering using Python.
- Removed dependency on client-side `marked.js` and CDNs.
    - Reports are now fully offline-capable.
    - Cleaned up JSON keys to remove `.md` extensions for cleaner data structure.
- **Google News Adapter**: Implemented `get_google_global_news` adapter in `google.py` to match the standard `(curr_date, look_back_days)` interface, adhering to the Adapter Pattern and fixing signature mismatches.
- **Robust Demo Script**: Created `run_agent.py` (replacing demo scripts) with:
    - Automatic `.env` loading.
    - `backend_url` handling (clearing OpenAI defaults when using Anthropic).
    - Hardened configuration for "Deep Analysis" (Debate Rounds=2).
    - Pre-configured Google News vendor to bypass AlphaVantage rate limits.

### Fixed
- **Rate Limit Crash**: Fixed `AlphaVantageRateLimitError` by switching default news vendor to Google in `run_agent.py`.
2026-01-14 05:58:33 -06:00
swj.premkumar a0ab1a9b3e The **TradingAgents** system is a risk-managed, LLM-driven trading engine designed to execute trades based on validated truth, not hallucinations. It connects hierarchical LLM agents with deterministic safety gates to ensure that every trade is architecturally sound, factually correct, and risk-compliant. 2026-01-09 19:28:49 -06:00
luohy15 a6734d71bc WIP 2025-09-26 16:17:50 +08:00
Zhongyi Lu b8f712b170 Exclude `.env` from Git 2025-06-21 23:29:26 -07:00
Yijia-Xiao cc97cb6d5d chore(release): v0.1.0 – initial public release of TradingAgents 2025-06-05 04:27:57 -07:00