trader-memory-core skillA
trader-memory-core is agent-read markdown (skill) from tradermonty/claude-trading-skills: Track investment theses across their lifecycle — from screening idea to closed position with postmortem. Register theses from screener outputs, manage state transitions, attach position sizing, review due dates, and generate postmortem reports with P&L and MAE/MFE analysis. Trigger when user says "register thesis", "track this idea", "thesis status", "review due", "close position", "postmortem", or "trading journal"..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Trader Memory Core ## Overview Persistent state layer that bundles screening → analysis → position sizing → portfolio management outputs into a single "thesis object" per investment idea. Tracks what you thought, what happened, and what you learned — across conversations. Phase 1 supports single-ticker theses: dividend_income, growth_momentum, mean_reversion, earnings_drift, pivot_breakout. ## When to Use - After a screener (kanchi, earnings-trade-analyzer, vcp, pead, canslim, edge-candidate-agent) produces candidates - When transitioning a thesis from IDEA → ENTRY_READY → ACTIVE → CLOSED - When attaching position-sizer output to a thesis - When checking which theses are due for review - When closing a position and generating a postmortem with lessons learned ## Prerequisites - Python 3.10+ - `pyyaml` (already in project dependencies) - `jsonschema` (already in `pyproject.toml`; required by `thesis_store.py` and every command that imports it, including `thesis_ingest.py` and `thesis_review.py`) - FMP API key (optional, only for MAE/MFE calculation in postmortem) ### How to invoke the CLI …
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How to install
mdr add tradermonty/claude-trading-skills/trader-memory-core@git:20260719.5912fa6mdr add tradermonty/claude-trading-skills/trader-memory-core@sha256:743374df863d0687Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ocpcpmmzqzpxmhkb)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260719.5912fa6 latest | 2026-07-19 | 5912fa6 | 16,472 B | A | view · diff |
| git:20260718.1b62197 | 2026-07-18 | 1b62197 | 16,208 B | A | view · diff |
| git:20260718.19cbd6f | 2026-07-18 | 19cbd6f | 15,801 B | A | view · diff |
| git:20260620.bccb3df | 2026-06-20 | bccb3df | 12,255 B | A | view · diff |
| git:20260520.ab3de10 | 2026-05-20 | ab3de10 | 12,090 B | A | view |
Audit of the latest version
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- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (16472 bytes)
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- pass: No instruction to send local credentials anywhere
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- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
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- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
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Source
tradermonty/claude-trading-skills · 2,885 stars · license MIT · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ocpcpmmzqzpxmhkb GET https://markdownregistry.com/api/v1/resolve?ref=tradermonty/claude-trading-skills/trader-memory-core GET https://markdownregistry.com/api/v1/blob/743374df863d0687171c65ad4f03037dfc2933fcf1f69aae9dc00992df80e613
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