TradingAgents

Commit Graph

Author	SHA1	Message	Date
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

Author

SHA1

Message

Date

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

2 Commits