trader-memory-core

You track an investment thesis by ingesting screener outputs into a structured state machine that enforces forward-only lifecycle transitions from IDEA to CLOSED, generating postmortems with a complete audit trail and index-backed queries for reproducibility.

MAE (Maximum Adverse Excursion) and MFE (Maximum Favorable Excursion) are P&L metrics calculated via optional price adapters to evaluate how far a position moves against or in favor of your entry before exit during the active thesis lifecycle.

You ingest multiple screener formats by registering thesis records through a robust API that applies strict schema validation and provenance tracking, ensuring atomic writes and reproducible state transitions across different screening sources.

Yes, thesis lifecycle management enforces strict schema validation using jsonschema and maintains clear provenance to ensure reproducibility and governance, supporting atomic writes and index-backed queries for auditable state transitions.

Yes, you can attach position sizing data and track entry/exit points to compute P&L, while optional MAE/MFE pricing adapters provide deeper excursion analysis for active investment theses.

Forward-only transitions prevent moving a thesis backward in its lifecycle, meaning once a thesis advances from IDEA to ENTRY_READY or ACTIVE, you cannot revert to a previous state, ensuring audit integrity but limiting corrective workflow flexibility.