Examples inspired by book Python For Finance
-
Updated
Jan 20, 2021 - Jupyter Notebook
Examples inspired by book Python For Finance
Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.
A .NET wrapper for Stooq, based on .NET Standard 2.0
Finance Data Provider API
Python download daily time series from Stooq.com
A Finance::Quote module (Perl) retrieving financial data from Stooq.com website.
Daily ETL and ML with Docker, PostgreSQL, Airflow, and XGBoost on pre-selected stocks. Finally, React as web-app. All done with Claude Code.
PROJECT MIGRATED TO CODEBERG - Archive of Stooq Commodity Prices
Stooqifier is an automatic stock price Slack notification with chart image script that with pandas-datareader call Stooq.com API
R interface for fetching daily time series from Stooq.com
Basics of modern portfolio theory demonstrated via Python for efficiency
Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.
60/40 backtest (SPY/BND): Lump Sum vs DCA with monthly data (Stooq). Metrics: CAGR, volatility, max drawdown, 12-month loss probability. Plots included.
Grab data from stooq and fred and hunt for Grainger causality
Add a description, image, and links to the stooq topic page so that developers can more easily learn about it.
To associate your repository with the stooq topic, visit your repo's landing page and select "manage topics."