# Data & Analysis
pandas>=1.3.0,<2.0.0
numpy>=1.21.0,<2.0.0
yfinance>=0.2.37,<0.3.0
multitasking<0.0.12
alpha-vantage>=2.3.0
certifi>=2024.2.2

# Technical Analysis
# Note: pandas-ta requires Python 3.12+, using built-in indicators instead

# Machine Learning
xgboost>=1.5.0
hmmlearn>=0.2.8
scikit-learn>=1.0.0

# Visualization
plotly>=5.0.0
streamlit>=1.0.0
packaging>=20,<25

# Notifications
plyer>=2.0.0

# Utilities
python-dotenv>=0.19.0
requests>=2.25.0