trader-memory-core

You can track investment theses by registering a thesis statement and ticker, allowing you to manage positions and generate structured postmortem reports with P&L and MAE/MFE analysis throughout the lifecycle.

Yes, you can open, trim, and close positions while maintaining detailed tracking of position sizes and risk to ensure your portfolio management workflows remain structured and disciplined.

Generating postmortem reports is handled by analyzing your closed positions to produce structured outputs detailing P&L and MAE/MFE metrics, helping you review past investment theses and decisions.

Position tracking operates within a Python environment and optionally integrates the FMP API adapter to pull price data, requiring pyyaml and jsonschema dependencies to manage your investment workflows.

Yes, you need a Python environment with pyyaml and jsonschema installed to manage investment theses, position tracking, and postmortem analysis workflows effectively.

You should use structured thesis management when you need to systematically register investment theses, track position performance against your original thesis statement, and conduct objective postmortem analysis after exiting.