TradingAgents

Author	SHA1	Message	Date
swj.premkumar	1f279a9df2	- Insider Veto Protocol (Rule B): Hard-coded safety gate in `trading_graph.py` that blocks ALL buy signals if Net Insider Selling exceeds $50M while the stock is in a technical downtrend (Price < 50 SMA). This prevents "Falling Knife" catches. - Relative Strength Determinism: Upgraded `market_analyst.py` to calculate a mathematical `risk_multiplier` (0.0x - 1.5x) based on the Asset Regime vs. SPY Regime correlation, removing LLM "confidence" hallucinations from position sizing. - Portfolio Awareness (Rule 72): Implemented State Persistence (`portfolio`, `cash_balance`) and a hard-coded Stop Loss check in `trading_graph.py`. If a position's unrealized PnL drops below -10%, the system forces a "LIQUIDATE" order, bypassing all AI debate. - Self-Tuning Architecture: Updated `reflection.py` to output a structured JSON block (`UPDATE_PARAMETERS`) instead of prose advice, enabling future automated parameter optimization.	2026-01-13 05:27:24 -06:00
swj.premkumar	bfbc011a87	Implemented pure Python local embeddings using `sentence-transformers` library, eliminating the need for external services like Ollama for providers that don't support embeddings	2026-01-10 11:14:40 -06:00

Author

SHA1

Message

Date

swj.premkumar

1f279a9df2

- **Insider Veto Protocol (Rule B)**: Hard-coded safety gate in `trading_graph.py` that blocks ALL buy signals if Net Insider Selling exceeds $50M while the stock is in a technical downtrend (Price < 50 SMA). This prevents "Falling Knife" catches.

- **Relative Strength Determinism**: Upgraded `market_analyst.py` to calculate a mathematical `risk_multiplier` (0.0x - 1.5x) based on the Asset Regime vs. SPY Regime correlation, removing LLM "confidence" hallucinations from position sizing.
- **Portfolio Awareness (Rule 72)**: Implemented State Persistence (`portfolio`, `cash_balance`) and a hard-coded Stop Loss check in `trading_graph.py`. If a position's unrealized PnL drops below -10%, the system forces a "LIQUIDATE" order, bypassing all AI debate.
- **Self-Tuning Architecture**: Updated `reflection.py` to output a structured JSON block (`UPDATE_PARAMETERS`) instead of prose advice, enabling future automated parameter optimization.

2026-01-13 05:27:24 -06:00

swj.premkumar

bfbc011a87

Implemented pure Python local embeddings using `sentence-transformers` library, eliminating the need for external services like Ollama for providers that don't support embeddings

2026-01-10 11:14:40 -06:00

2 Commits