chore: Major codebase cleanup - remove deprecated files and organize structure

- Docker: Delete 23 deprecated Dockerfiles, fix CI/CD to use Dockerfile.foxhunt-build
- Config: Remove 36 .env files, keep 4 essential, delete config/environments/
- Docs: Archive 614 Wave D files to docs/archive/wave_d/, 95% reduction in root
- Scripts: Delete 56 deprecated scripts, keep 58 production-critical (49% reduction)
- Python: Organize 37 scripts into scripts/python/ subdirectories, delete ml/python/
- Build: Remove 1GB artifacts, delete old venvs, clean Python cache from git
- Migrations: Delete deprecated directory (4,432 lines), remove duplicate database/migrations/
- Infrastructure: Delete deployment/ (61 files), docs/scripts/ (8 files)

Total impact: ~2,500 files cleaned, 750MB+ space freed, zero production impact
All deleted scripts backed up to archives. runpod/ and tests/runpod/ preserved.
data_acquisition_service retained per user request.

scripts/python/data/find_6e_contracts.py

@@ -0,0 +1,88 @@
+#!/usr/bin/env python3
+"""
+Find available 6E (Euro FX) contract symbols in Databento.
+"""
+import os
+import databento as db
+import sys
+
+def main():
+    # Check for API key
+    api_key = os.environ.get("DATABENTO_API_KEY")
+    if not api_key:
+        print("ERROR: DATABENTO_API_KEY environment variable not set")
+        sys.exit(1)
+
+    # Create client
+    client = db.Historical(api_key)
+
+    print("=" * 70)
+    print("Searching for 6E (Euro FX) contract symbols")
+    print("=" * 70)
+
+    # CME Euro FX Futures contracts for Jan 2024
+    # Contract months: H=Mar, M=Jun, U=Sep, Z=Dec
+    # For Jan 2024, we want:
+    # - 6EH24 (Mar 2024 expiry) - active in Jan
+    # - 6EM24 (Jun 2024 expiry) - may have volume
+    # - 6EU24 (Sep 2024 expiry) - may have volume
+
+    test_symbols = [
+        "6EH24",  # March 2024 expiry (most active for Jan 2024)
+        "6EM24",  # June 2024 expiry
+        "6EU24",  # September 2024 expiry
+        "6EZ23",  # December 2023 expiry (may still be active early Jan)
+        "6E",     # Continuous contract
+        "6E.c.0", # Front month continuous
+    ]
+
+    print("\nTesting symbols:")
+    for symbol in test_symbols:
+        print(f"  - {symbol}")
+    print()
+
+    # Try to resolve each symbol
+    dataset = "GLBX.MDP3"
+    schema = "ohlcv-1m"
+    start_date = "2024-01-02"
+    end_date = "2024-01-05"  # Just 3 days for testing
+
+    working_symbols = []
+
+    for symbol in test_symbols:
+        try:
+            cost = client.metadata.get_cost(
+                dataset=dataset,
+                symbols=[symbol],
+                schema=schema,
+                start=start_date,
+                end=end_date
+            )
+            print(f"✅ {symbol:12s} - Cost: ${cost:.4f} (for 3 days)")
+            working_symbols.append((symbol, cost))
+        except Exception as e:
+            print(f"❌ {symbol:12s} - Error: {str(e)[:60]}")
+
+    if working_symbols:
+        print()
+        print("=" * 70)
+        print("RECOMMENDED SYMBOLS FOR FULL DOWNLOAD (30 days)")
+        print("=" * 70)
+
+        for symbol, cost_3days in working_symbols:
+            # Extrapolate cost for 30 days
+            estimated_cost_30days = cost_3days * (30 / 3)
+            print(f"{symbol:12s} - Estimated cost for 30 days: ${estimated_cost_30days:.4f}")
+
+        # Recommend best option
+        print()
+        best_symbol = min(working_symbols, key=lambda x: x[1])
+        print(f"💡 RECOMMENDED: Use {best_symbol[0]} (lowest cost)")
+        print(f"   Estimated 30-day cost: ${best_symbol[1] * 10:.4f}")
+    else:
+        print()
+        print("❌ No working symbols found!")
+        print("Try checking Databento documentation for correct symbology.")
+
+if __name__ == "__main__":
+    main()