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
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anonymize_dataset.py	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
generate_report_html.py	- **Standalone HTML Reports**: Refactored report generation to perform server-side Markdown-to-HTML rendering using Python.	2026-01-14 05:58:33 -06:00
shadow_run_daily.py	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