initial: import DOLPHIN baseline 2026-04-21 from dolphinng5_predict working tree

Includes core prod + GREEN/BLUE subsystems:
- prod/ (BLUE harness, configs, scripts, docs)
- nautilus_dolphin/ (GREEN Nautilus-native impl + dvae/ preserved)
- adaptive_exit/ (AEM engine + models/bucket_assignments.pkl)
- Observability/ (EsoF advisor, TUI, dashboards)
- external_factors/ (EsoF producer)
- mc_forewarning_qlabs_fork/ (MC regime/envelope)

Excludes runtime caches, logs, backups, and reproducible artifacts per .gitignore.

prod/esof_deployment.yaml

@@ -0,0 +1,41 @@
+# DOLPHIN — EsoF Daemon Deployment Configuration
+# ================================================
+# Esoteric Factors Daemon: continuous process that computes local
+# astronomical/mathematical indicators (no external APIs, no rate limits)
+# and pushes a fresh snapshot to Hazelcast DOLPHIN_FEATURES['esof_latest']
+# every 5 seconds — synchronised with the master DOLPHIN scan frequency.
+#
+# NOT a scheduled flow — this is a continuous, long-running daemon.
+#
+# Deploy:
+#   prefect deployment apply prod/esof_deployment.yaml
+# Run:
+#   prefect deployment run 'esof-prefect-flow/esof-daemon'
+
+name: esof-daemon
+description: |
+  Esoteric Factors Daemon — pure local computations (astropy + math),
+  zero external API calls. Pushes moon phase, mercury retrograde, liquidity
+  session, market cycle, fibonacci time, regional times, and calendar fields
+  to Hazelcast every 5s.
+
+entrypoint: prod/esof_prefect_flow.py:esof_prefect_flow
+version: 1.0.0
+
+tags: ["esof", "esoteric-factors", "production"]
+
+work_pool:
+  name: dolphin
+  work_queue_name: default
+
+# warmup_s: one EsotericFactorsService poll cycle (5s) + 1s margin.
+# poll_interval_s: internal compute cadence; keep equal to HZ push interval.
+parameters:
+  warmup_s: 6
+  poll_interval_s: 5.0
+
+# Process-based infrastructure — long-running daemon (mirrors ExF pattern)
+infrastructure:
+  type: process
+  env: {}
+  labels: {}