yhilpisch / py4atLinks
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.
☆787Updated last year
Alternatives and similar repositories for py4at
Users that are interested in py4at are comparing it to the libraries listed below
Sorting:
- Learn Algorithmic Trading, Published by Packt☆898Updated last month
- Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.☆370Updated last year
- Mastering Python for Finance – Second Edition, published by Packt☆487Updated 2 years ago
- All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.☆752Updated last year
- Python for Finance Cookbook, published by Packt☆776Updated 2 years ago
- Hands-On Financial Trading with Python, published by Packt☆375Updated last month
- Sources codes for: Mastering Python for Finance, Second Edition☆431Updated this week
- Python Algorithmic Trading Cookbook, published by Packt☆506Updated last month
- Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitativ…☆584Updated 8 months ago
- Open sourced research notebooks by the QuantConnect team.☆656Updated last year
- Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.☆486Updated last year
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆997Updated 2 years ago
- Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy☆1,243Updated 5 years ago
- This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…☆498Updated last year
- Hands-On Machine Learning for Algorithmic Trading, published by Packt☆1,729Updated 2 years ago
- Quantitative Finance book☆738Updated 5 months ago
- Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.☆639Updated 2 months ago
- 2 books and related source codes for algorithmic trading.☆569Updated last year
- Machine Learning for Algorithmic Trading, Second Edition - published by Packt☆1,490Updated last month
- Advances in Financial Machine Learning☆791Updated 2 years ago
- A complete set of volatility estimators based on Euan Sinclair's Volatility Trading☆1,773Updated 11 months ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆933Updated last year
- ☆346Updated 2 years ago
- Backtest and live trading in Python☆632Updated last year
- Recreate EP Chan algo trading book strategies☆412Updated 7 years ago
- Resources for Quantitative Finance☆768Updated last year
- Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.☆1,894Updated 4 months ago
- A Python library for Nasdaq Data Link's RESTful API☆565Updated 2 years ago
- Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]☆1,838Updated 2 years ago
- An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian,…☆788Updated 4 months ago