Stock Libraries — Python Reference Implementations

Reference code examples for the 13 Python libraries used in the StockLTSMTransformerQuantum project.

Library Inventory

Deep Learning & Quantum ML (5)

Library	Category	Example File
TensorFlow/Keras	Deep Learning	deep_learning_quantum/keras_lstm_training.py, keras_transformer.py
PennyLane	Quantum ML	deep_learning_quantum/pennylane_quantum.py
scikit-learn	ML Preprocessing	deep_learning_quantum/sklearn_preprocessing.py
NumPy	Array Operations	deep_learning_quantum/numpy_timeseries.py

Financial Data & Technical Analysis (4)

Library	Category	Example File
yfinance	Stock Data	finance_data/yfinance_download.py
ta	Technical Indicators	finance_data/ta_indicators.py
alpha-vantage	Financial API	finance_data/alphavantage_api.py
pandas	Data Analysis	finance_data/pandas_finance.py

Visualization & GUI (2)

Library	Category	Example File
matplotlib	Charting	visualization_gui/matplotlib_finance.py
PyQt5	Desktop GUI	visualization_gui/pyqt5_app.py, pyqt5_matplotlib.py

Utilities (2)

Library	Category	Example File
python-dotenv	Env Management	utilities/dotenv_validation.py
requests + tenacity	HTTP + Retry	utilities/requests_financial_api.py

Setup

pip install -r requirements.txt
cp .env.example .env  # Edit with your API keys

Author

Michael P. Williams