Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Jupyter Notebooks Collection for Learning Time Series Models
A set of jupyter notebooks
A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI
Knowledgebase— a collection of information for quantitative finance, insurance, mathematics and AI—This serves as a sprawling notebook of books, papers, code links and Jupyter notebooks across quantitative finance, insurance, AI/ML, coding/IT, maths, probability and applied statistics, organised in subject-tree folders rather than a software repo.
Using Pandas dataframes and Quantopian research platform, this notebook analyzes equity price performance after sharp price spike/drop.
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
The Quantitative Strategy Analysis project aims to provide analysts with tools to research, backtest, and analyze various trading strategies involving currency pairs and ETFs. With Python notebooks, historical datasets, and performance reporting tools, this project is designed to streamline quantitative research
Add a description, image, and links to the quantitative-trading topic page so that developers can more easily learn about it.
To associate your repository with the quantitative-trading topic, visit your repo's landing page and select "manage topics."