UI:
- Embed the real APEX logo PNG (transparent mark) in dashboard sidebar,
cmd-header, landing nav, and landing hero (replaces SVG approximations).
- Add favicon.png across all six templates.
- Nudge color palette to brand cyan→blue→purple gradient and silver-white
wordmark; word-by-word coloring on the cmd-header tagline.
- Drop-shadow glow on logo marks tuned to the brand-blue.
Demo:
- python -m demo.run_demo now defaults to an auto-running showcase: opens
the dashboard, kicks off a ~3-4 min optimization that exercises every
phase, and lands on a verdict modal — no manual setup needed.
- Tight per-iteration targets so Phase 2 actually iterates (visible AI loop).
- Skip per-run AI analysis during Phase 1 exploration via APEX_DEMO_SKIP_PHASE1_AI=1
to keep total runtime down without losing the headline AI loop in Phase 2.
- --quick flag opts back to the original fast/manual flow.
- --loop auto-restarts for unattended screen recording.
Docs:
- README + SUBMISSION updated to describe the new auto-running default.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- NaN composite score: dropna().mean() on empty series returns NaN,
nan is truthy so (nan or 0)=nan. Fixed: use None when no MFE data
so scorer uses 0.5 fallback instead of propagating NaN.
- Analysis stopping: gate WFV was importing from main.execute_run
(old CLI code that uses broken runner). Fixed: gate.run_walk_forward
now accepts an executor callable from optimizer_loop.
- Back to Dashboard opened blank tab: Reports button used
window.open(_blank). Fixed: same-tab navigation + history.back().
- NaN in reports card: downstream of composite_score NaN above.
