Commit Graph

7 Commits

Author SHA1 Message Date
ahmet guzererler 97a0d0de53
feat: configurable max_auto_tickers + run persistence with phase-level node re-run (#109)
Feature 1 - Configurable max_auto_tickers:
- Add max_auto_tickers config key (default 10) with TRADINGAGENTS_MAX_AUTO_TICKERS env override
- Macro synthesis agent accepts max_scan_tickers param, injects exact count into LLM prompt
- ScannerGraph passes config value to create_macro_synthesis()
- Backend engine applies safety cap on scan candidates (portfolio holdings always included)
- Frontend adds Max Tickers number input in params panel, sends max_tickers in auto run body

Feature 2 - Run persistence + phase-level node re-run:
- 2A: ReportStore + MongoReportStore gain save/load_run_meta, save/load_run_events,
  list_run_metas methods; runs.py persists to disk in finally block; startup hydration
  restores historical runs; lazy event loading on GET /{run_id}
- 2B: Analysts + trader checkpoint save/load methods in both stores; engine saves
  checkpoints after pipeline completion alongside complete_report.json
- 2C: GraphSetup gains build_debate_subgraph() and build_risk_subgraph() for partial
  re-runs; TradingAgentsGraph exposes debate_graph/risk_graph as lazy properties;
  NODE_TO_PHASE mapping + run_pipeline_from_phase() engine method;
  POST /api/run/rerun-node endpoint with _append_and_store helper
- 2D: Frontend history popover (loads GET /api/run/, sorts by created_at, click to load);
  triggerNodeRerun() calls rerun-node endpoint; handleNodeRerun uses phase-level
  re-run when active run is loaded

All 890 existing tests pass (10 skipped).

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-25 15:27:28 +01:00
copilot-swe-agent[bot] 4c186a55e8 merge: sync with upstream TauricResearch/TradingAgents v0.2.2
Merges upstream/main into our fork, bringing in:
- Security: Remove chainlit (CVE-2026-22218), patch LangGrinch vulnerability
- Bug fixes: debate state init, UTF-8 encoding, stock data parsing, debate round config
- Features: OpenAI Responses API, five-tier rating scale, Anthropic effort support,
  exchange-qualified tickers, yfinance retry with exponential backoff
- Refactor: risk_manager renamed to portfolio_manager

Conflicts resolved preserving our fork's:
- Per-tier LLM config (quick/mid/deep think with provider overrides)
- Separate tool files (fundamental_data_tools, core_stock_tools, etc.)
- Custom tools (get_ttm_analysis, get_peer_comparison, get_sector_relative, get_macro_regime)
- Dynamic Ollama model fetching
- Enhanced fundamentals analyst prompt with TTM analysis
- Hardened stockstats/yfinance data pipeline (_load_or_fetch_ohlcv)
- AgentOS observability layer, scanner pipeline, portfolio management

Tests: 727 passed, 14 skipped
2026-03-23 12:17:25 +00:00
Yijia-Xiao b8b2825783 refactor: standardize portfolio manager, five-tier rating scale, fix analyst status tracking 2026-03-22 23:30:29 +00:00
ahmet c471db80e1 feat(cli): add three-tier LLM provider setup with dynamic Ollama model listing
- Add quick/mid/deep thinking tiers, each with independent provider selection
- Fetch available Ollama models dynamically via /api/tags instead of hardcoded list
- Add mid-thinking agent selection (select_mid_thinking_agent)
- Support provider-specific thinking config (Gemini thinking level, OpenAI reasoning effort)
- Update default_config and trading_graph to wire three-tier LLM setup

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-13 13:20:50 +01:00
Yijia Xiao 50961b2477
refactor: rename risky/safe agents to aggressive/conservative 2026-02-03 22:27:20 +00:00
luohy15 a6734d71bc WIP 2025-09-26 16:17:50 +08:00
Yijia-Xiao cc97cb6d5d chore(release): v0.1.0 – initial public release of TradingAgents 2025-06-05 04:27:57 -07:00