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TradingAgents
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6 Commits

Author SHA1 Message Date
swj.premkumar 97d13ee1ed 2026-01-15 (Phase 1: The Foundation) 
### Added
- **Hyper-Immutability (Physically Secured State)**: Implemented `FactLedger` (TypedDict) and `write_once_enforce` reducer in `agent_states.py` to cryptographically lock data reality.
    - Ledger is hashed (SHA-256) upon creation.
    - Wrapped in `MappingProxyType` to prevent any downstream agent from mutating the facts.
- **The Data Registrar (Parallel Gatekeeper)**: Created `DataRegistrar` node (`tradingagents/agents/data_registrar.py`) that acts as the Single Source of Truth.
    - **Parallel I/O**: Fetches Price, Fundamentals, News, and Insider data concurrently (4x speedup over sequential).
    - **Partial Poisoning Guard**: Hard "Fail-Fast" if critical domains (Price, Fundamentals) are missing.
    - **Freshness Simulation**: Configurable `TRADING_MODE` (simulation/production) to allow rigorous testing without stale-data aborts.

### Fixed
- **Hallucination Vectors (The Lobotomy)**: Removed ALL tool access from `Market`, `Social`, `News`, and `Fundamentals` analysts.
    - Analysts now consume exclusively from `FactLedger`.
    - Eliminated "Tool Use Loop" latency and potential for agents to fetch divergent data.
- **Graph Wiring**: Refactored `setup.py` to route `START` -> `Data Registrar` -> `Market Analyst` -> Parallel Fan-Out.
 2026-01-15 11:02:35 -06:00
swj.premkumar e7784f2b99 - Guarantees clean string outputs for downstream consumers (CLI, WebUI). 
- Prevents crashes when LLMs return complex JSON/List structures.
 2026-01-15 02:01:54 -06:00
swj.premkumar 3a5bc02879 ### Changed 
- **Risk Star Topology (Strategy 2)**: Replaced sequential "Round Robin" risk debate with a parallel "Fan-Out / Fan-In" architecture.
    - `Trader` now triggers `Risky`, `Safe`, and `Neutral` analysts simultaneously.
    - Implemented `Risk Sync` node and `merge_risk_states` reducer (AgentStates) to handle concurrent updates safely.
    - Reduced Risk Phase latency by ~60%.
- **Batch Reflection (Strategy 1)**: Consolidated 5 sequential reflection calls into a single "Session Audit" call, reducing token usage and latency by ~80% in the post-trade phase.
- **Parallel I/O (Strategy 3)**: Refactored `tradingagents/dataflows/local.py` (Reddit News) to use `ThreadPoolExecutor` (max 10 workers), achieving 5x-10x speedup in data fetching.
 2026-01-14 20:11:06 -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
mirza-samad-ahmed-baig f704828f89 Fix: Prevent infinite loops, enable reflection, and improve logging 2025-07-03 17:43:40 +05:00
Yijia-Xiao cc97cb6d5d chore(release): v0.1.0 – initial public release of TradingAgents 2025-06-05 04:27:57 -07:00