feat(kb): add trading-domain evidence as PP-1 and PP-2

claims.json had zero hits for trading, finance or quant, so a real
capability could not legally reach any document: the file is the
highest-authority source and nothing outside it is claimable. Surfaced
while assessing the Citadel Securities Platform Engineer req (Zurich),
where domain fluency is exactly what was missing.

PP-1 is the self-built investing/signal platform: US-equity price,
fundamental and LLM-assisted sentiment ingestion, a long-only
cross-sectional residual 12-1 momentum book with ATR stop/trail and max
15 concurrent names, scheduled scan and backtest pipelines, web
dashboard and Telegram alerts. PP-2 is the Udacity AI for Trading
nanodegree. Two allowed-with-context skills reference both.

Written defensively, because this is the kind of entry a later run
inflates. Each carries an explicit forbidden list: no PnL, Sharpe,
return or backtest figure may EVER be quoted (none is verified); PP-1 is
single-user and self-hosted, so never distributed, scalable, production
or multi-user; neither implies professional quantitative, trading or
finance experience; the nanodegree is never an academic or quant
credential. Legitimate use is self-directed domain fluency plus an
end-to-end ingestion/backtest/alerting build outside work.

PP-1 is also the one claim where full-ownership verbs are correct - it
is genuinely solo, unlike the employer work that Scope Discipline
governs. Stated in the scope so the two rules do not collide later.

JSON valid, validator PASS, 9/9 tests pass.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MHtzyTKBcg6BWhD5qFegtK

resume_builder/canonical/claims.json

@@ -238,6 +238,29 @@
       "scope": "Developed Java/J2EE workflow application features and contributed to integration proofs of concept.",
       "allowed_verbs": ["developed", "contributed", "migrated"],
       "metrics": "unverified"
+    },
+    {
+      "id": "PP-1",
+      "scope": "PERSONAL PROJECT (user-supplied 2026-08-25), not professional work. A self-hosted, single-user investing/signal platform Dennis built for himself: ingests daily US-equity prices, fundamentals and sentiment (LLM-assisted); runs one long-only cross-sectional momentum book (top-quintile residual 12-1 momentum, ATR stop/trail, max 15 concurrent names) through scheduled scan and backtest pipelines; surfaces gated setups in a web dashboard plus Telegram alerts. Legitimate use: evidence of self-directed trading-domain fluency and of an end-to-end ingestion/backtest/alerting build outside work. Full-ownership verbs ARE correct here -- unlike his employer work, this is genuinely solo.",
+      "allowed_verbs": ["built", "developed", "designed"],
+      "forbidden": [
+        "any trading track record, PnL, return, Sharpe or backtest performance figure -- none is verified and none may ever be quoted",
+        "calling it distributed, scalable, production or multi-user -- it is single-user and self-hosted",
+        "implying professional quantitative, trading, finance-domain or investment-management experience",
+        "presenting it as employer work or omitting that it is a personal project"
+      ],
+      "metrics": "unverified"
+    },
+    {
+      "id": "PP-2",
+      "scope": "Udacity 'AI for Trading' Nanodegree, completed self-study (user-supplied 2026-08-25). Covers quantitative trading fundamentals -- factor construction, alpha signals, backtesting. Pairs with PP-1 as the formal half of self-directed domain grounding.",
+      "allowed_verbs": ["completed"],
+      "forbidden": [
+        "listing it as an academic degree, professional certification or quant credential",
+        "presenting it as equivalent to quantitative research or trading experience",
+        "using it to qualify for quant, trader, researcher or portfolio-management roles"
+      ],
+      "metrics": "unverified"
     }
   ],
   "skills": [
@@ -259,6 +282,8 @@
     {"name": "custom GPTs", "evidence": "hands-on-current", "output": "allowed-with-context"},
     {"name": "Kiro", "evidence": "hands-on-current", "output": "allowed-with-context"},
     {"name": "Copilot", "evidence": "hands-on-current", "output": "allowed-with-context"},
+    {"name": "quantitative/systematic trading concepts", "evidence": "coursework-and-personal-project", "output": "allowed-with-context", "note": "Udacity AI for Trading nanodegree (PP-2) plus the self-built momentum platform (PP-1): factor construction, cross-sectional/residual momentum, ATR stops, backtesting. Self-directed only — NO professional quant, trading or finance experience. Never list under a Professional Experience skills line without the personal-project context, and never as a quant qualification."},
+    {"name": "backtesting", "evidence": "personal-project", "output": "allowed-with-context", "note": "PP-1 scheduled backtest pipelines, personal scale. Never quote a result or performance figure."},
     {"name": "TensorFlow/Keras", "evidence": "certification", "output": "certification-context-only"},
     {"name": "PyTorch", "evidence": "coursework-or-personal-unverified", "output": "certification-context-only"},
     {"name": "TypeScript", "evidence": "unverified", "output": "forbidden"},