trentuna/candle-annotator
8
0
Fork 0
Code Issues Pull requests Releases Packages Activity Actions

fix(ml): cast OHLCV arrays to float64 for TA-Lib compatibility

Browse source
This commit is contained in:
Marko Djordjevic 2026-02-15 21:52:45 +01:00
parent f850728d44
commit b6b37160a7
1 changed files with 6 additions and 6 deletions
Download patch file Download diff file Expand all files Collapse all files

12
services/ml/features/talib_features.py
View file

@ -56,12 +56,12 @@ def compute_talib_indicators(
# Make a copy to avoid modifying the original # Make a copy to avoid modifying the original
result_df = df.copy() result_df = df.copy()
# Extract OHLCV arrays (TA-Lib expects numpy arrays) # Extract OHLCV arrays (TA-Lib expects float64/double numpy arrays)
open_prices = df['open'].values open_prices = df['open'].values.astype(np.float64)
high_prices = df['high'].values high_prices = df['high'].values.astype(np.float64)
low_prices = df['low'].values low_prices = df['low'].values.astype(np.float64)
close_prices = df['close'].values close_prices = df['close'].values.astype(np.float64)
volume = df['volume'].values volume = df['volume'].values.astype(np.float64)
logger.info(f"Computing {len(indicators)} TA-Lib indicators") logger.info(f"Computing {len(indicators)} TA-Lib indicators")