critical: Fix Smart Entry Validation Queue wrong price display

- Bug: Validation queue used TradingView symbol format (SOLUSDT) to lookup market data cache
- Cache uses normalized Drift format (SOL-PERP)
- Result: Cache lookup failed, wrong/stale price shown in Telegram abandonment notifications
- Real incident: Signal at $126.00 showed $98.18 abandonment price (-22.08% impossible drop)
- Fix: Added normalizeTradingViewSymbol() call in check-risk endpoint before passing to validation queue
- Files changed: app/api/trading/check-risk/route.ts (import + symbol normalization)
- Impact: Validation queue now correctly retrieves current price from market data cache
- Deployed: Dec 1, 2025

cluster/test_adapter.py

@@ -0,0 +1,45 @@
+#!/usr/bin/env python3
+"""Test profile adapter logic"""
+from money_line_v9 import MoneyLineV9Inputs
+
+# Test profile adapter logic
+config = {
+    'profile': 'minutes',
+    'atr_minutes': 12,
+    'mult_minutes': 3.8,
+    'rsi_long_min': 35,
+    'rsi_long_max': 70,
+    'rsi_short_min': 30,
+    'rsi_short_max': 70,
+    'vol_max': 3.5,
+    'entry_buffer': 0.2,
+    'adx_length': 16,
+    'use_ma_gap': False,
+    'ma_gap_min_long': 0.0,
+    'ma_gap_min_short': 0.0
+}
+
+# Simulate adapter logic
+profile = config['profile']
+atr_map = {'minutes': config.get('atr_minutes', 12)}
+mult_map = {'minutes': config.get('mult_minutes', 3.8)}
+
+# Create inputs with mapped parameters
+inputs = MoneyLineV9Inputs(
+    atr_period=atr_map[profile],
+    multiplier=mult_map[profile],
+    rsi_long_min=config['rsi_long_min'],
+    rsi_long_max=config['rsi_long_max'],
+    rsi_short_min=config['rsi_short_min'],
+    rsi_short_max=config['rsi_short_max'],
+    vol_max=config['vol_max'],
+    entry_buffer_atr=config['entry_buffer'],
+    adx_length=config['adx_length'],
+    use_ma_gap_filter=config['use_ma_gap'],
+    ma_gap_long_min=config['ma_gap_min_long'],
+    ma_gap_short_max=config['ma_gap_min_short']
+)
+
+print(f"✅ MoneyLineV9Inputs created successfully!")
+print(f"   atr_period={inputs.atr_period}, multiplier={inputs.multiplier}")
+print(f"   use_ma_gap_filter={inputs.use_ma_gap_filter}")