Concentrate-by-rank sizing mechanism (goal #1) — built, gated OFF

The human's edge is concentration (4 trades on 1 name) vs the bot's 12-trade
spray. Added the mechanism: TRADING_CONCENTRATE_TOP_N (only the top-N armed names
by rank may enter; rank-1 full risk, rank-2+ half) + TRADING_MAX_FRESH_ENTRIES_
PER_DAY (hard daily cap). rank threaded from the armed trigger -> submit_breakout_
now -> scales both the % budget and the $500 cap by rank_risk_factor.

LEFT OFF by default (both 0): activating it meaningfully requires the rank key to
be QUALITY, but the armed rank is currently gap*rvol*catalyst. Verification also
found the roadmap's "quality_score" is calculate_data_quality_score = bar
coverage/integrity (a thin-name/liquidity proxy with a time-of-day confound),
correlated only weakly (q>=0.55 = 58% win / breakeven, NOT the 71% claimed; q<0.55
= 35% win / -$2,476). So concentration waits on a sound rank key (goal #2).

pure rank_risk_factor + tests. No behavior change until the env flags are set.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

run_live_paper.py

@@ -749,7 +749,7 @@ def main(argv: list[str] | None = None) -> int:
                 res = rt["execution"].submit_breakout_now(
                     t.symbol, t.trigger, t.stop, last_price=t.price,
                     cum_volume=t.cum_volume, halted=_recently_halted(t.symbol),
-                    day_open=t.day_open,
+                    day_open=t.day_open, rank=t.rank,
                 )
                 if res.get("ok"):
                     book.mark_fired(t.symbol)