# Core Trading
alpaca-py==0.8.2
pandas==2.1.4
numpy==1.26.2

# Market Data & Analysis
yfinance==0.2.35
ta==0.11.0
pandas-ta==0.3.14b0

# News & Sentiment
feedparser==6.0.10
requests==2.31.0
beautifulsoup4==4.12.2

# ML & Research
scikit-learn==1.3.2
scipy==1.11.4

# Deep Learning (RL Agent)
torch>=2.0.0

# Scheduling
apscheduler>=3.10.0

# Utilities
python-dotenv==1.0.0
schedule==1.2.0
pytz==2023.3

# Logging & Monitoring
loguru==0.7.2