{"repo":"danielsobrado/notebooks_invest","free":true,"listed":false,"github":"https://github.com/danielsobrado/notebooks_invest","clone":"git clone https://github.com/danielsobrado/notebooks_invest.git","description":"Analyze historical market data using Jupyter Notebooks","language":"Jupyter Notebook","stars":27,"topics":["finance","machine-learning","python","quantitative-finance","stock-market","backtesting","backtesting-trading-strategies","crypto","cycles","insider-trading"],"license":null,"category":"trading","readme_excerpt":"Stock Market Notebooks The objective of this repo is to analyze historical market data to gain insights that you can only get by doing your own experiments. You should research them by analyzing historical data in order to have in-depth knowledge about the market. Know how the market works by looking into the data from multiple angles, don't trust blindly other people's analysis and charts, do your own homework. Setup and Installation Prerequisites - Python 3.8 or higher - uv package manager (recommended) Quick Start with uv (Recommended) Install uv if you haven't already: Clone and setup the project: Alternative Installation Methods Using pip Using pyproject.toml (for development) Development Setup For contributors, install development dependencies: This includes: - black for code formatting - flake8 for linting - pytest for testing Dependency Management This project uses both requirements.txt and pyproject.toml : - requirements.txt - For basic dependency management and compatibility - pyproject.toml - Modern Python packaging standard with development dependencies To update dependencies: Data Sources Data is key. Having good sources of data is a challenge, and also very important. We'll use free data sources in these repositories, but you'll be able to extrapolate the analysis, to other commercial data, if required. Investpy Investpy is a Python package to retrieve data from Investing.com Install it via pip with a Python3.5 version or higher: $ pip install investpy Kaggle Ka","default_branch":null,"files":null,"tree":[],"storefront":"/r/danielsobrado","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/danielsobrado/notebooks_invest/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}