websockets>=10.0
websocket-client>=1.0.0
plotly>=5.18.0
dash>=2.14.0
pandas>=2.0.0
numpy>=1.24.0
python-dotenv>=1.0.0
psutil>=5.9.0
tensorboard>=2.15.0
scikit-learn>=1.3.0
matplotlib>=3.7.0
seaborn>=0.12.0
ta>=0.11.0
ccxt>=4.0.0
dash-bootstrap-components>=2.0.0
asyncio-compat>=0.1.2
wandb>=0.16.0
pybit>=5.11.0
requests>=2.31.0
asyncpg>=0.29.0

# COBY System Dependencies
fastapi>=0.104.0
uvicorn>=0.24.0
pydantic>=2.5.0
python-multipart>=0.0.6
aiohttp>=3.9.0
redis>=5.0.0
scipy>=1.11.0
structlog>=23.2.0
click>=8.1.0
rich>=13.7.0

# DuckDB for data storage
duckdb>=0.9.0

# Flask for ANNOTATE system
Flask>=3.0.0
flask-cors>=4.0.0

# NOTE: PyTorch is intentionally not pinned here to avoid pulling NVIDIA CUDA deps on AMD machines.
# Install one of the following sets manually depending on your hardware:
#
# CPU-only (AMD/Intel, no NVIDIA CUDA):
#   pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
#
# NVIDIA GPU (CUDA):
#   Visit https://pytorch.org/get-started/locally/ for the correct command for your CUDA version.
#   Example (CUDA 12.1):
#   pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
#
# AMD Strix Halo NPU Acceleration:
#   pip install onnxruntime-directml onnx transformers optimum