diff --git a/services/ml/generate_talib_annotations.py b/services/ml/generate_talib_annotations.py
index 72205f2..ee1da96 100644
--- a/services/ml/generate_talib_annotations.py
+++ b/services/ml/generate_talib_annotations.py
@@ -42,12 +42,10 @@ TALIB_PATTERNS = {
     'CDLHARAMICROSS': 'Harami Cross',
     'CDLPIERCING': 'Piercing',
     'CDLDARKCLOUDCOVER': 'Dark Cloud Cover',
-    'CDLTHREEWHITESOLDIERS': 'Three White Soldiers',
-    'CDLTHREEBLACKCROWS': 'Three Black Crows',
     'CDLMARUBOZU': 'Marubozu',
     'CDLSPINNINGTOP': 'Spinning Top',
-    'CDL3BLACKCROWS': 'Three Black Crows',
     'CDL3WHITESOLDIERS': 'Three White Soldiers',
+    'CDL3BLACKCROWS': 'Three Black Crows',
     'CDLABANDONEDBABY': 'Abandoned Baby',
     'CDLADVANCEBLOCK': 'Advance Block',
     'CDLBELTHOLD': 'Belt Hold',
@@ -94,6 +92,7 @@ def load_ohlcv(input_path: str) -> pd.DataFrame:
     Load OHLCV data from CSV file.
     
     Expected columns: time, open, high, low, close[, volume]
+    Time can be Unix timestamp or date string.
     """
     logger.info(f"Loading OHLCV data from {input_path}")
     df = pd.read_csv(input_path)
@@ -103,6 +102,14 @@ def load_ohlcv(input_path: str) -> pd.DataFrame:
     if missing:
         raise ValueError(f"Missing required columns: {missing}")
     
+    # Convert time to Unix timestamp if it's a date string
+    if df['time'].dtype == 'object':
+        logger.info("Converting date strings to Unix timestamps...")
+        df['time'] = pd.to_datetime(df['time']).astype(int) // 10**9
+    
+    # Ensure time is integer
+    df['time'] = df['time'].astype(int)
+    
     logger.info(f"Loaded {len(df)} candles")
     return df