# --- Datenanalyse / Markt-Daten ---
pandas>=2.2
numpy>=1.26
yfinance>=0.2.40
ta>=0.11.0
matplotlib>=3.8

# --- Backtesting ---
backtesting>=0.3.3

# --- Machine Learning ---
scikit-learn>=1.4
joblib>=1.3

# --- Broker (Aktien & ETFs) ---
alpaca-py>=0.30.1          # Alpaca: Paper-Trading + US-Aktien/ETFs Live
ib_insync>=0.9.86          # Interactive Brokers (EU-Resident-faehig, fractional shares)

# --- Hilfs-Tools ---
python-dotenv>=1.0
requests>=2.31
loguru>=0.7
psutil>=5.9              # Lock-File / PID-Check fuer 03_alpaca_paper_bot

# --- Tests ---
pytest>=8.0
