rolling-panda-san / notebooksLinks
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
☆613Updated this week
Alternatives and similar repositories for notebooks
Users that are interested in notebooks are comparing it to the libraries listed below
Sorting:
- Backtest and live trading in Python☆611Updated last year
- Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integr…☆594Updated last week
- This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…☆448Updated last year
- Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, …☆388Updated last week
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆971Updated last year
- Open sourced research notebooks by the QuantConnect team.☆624Updated last year
- A Python library for evaluating option trading strategies.☆400Updated 2 months ago
- Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitativ…☆561Updated 5 months ago
- Top training materials in quantitative finance☆421Updated 10 months ago
- low code backtesting library utilizing pandas and technical analysis indicators☆470Updated last month
- Portfolio and risk analytics in Python☆500Updated last month
- GPU-accelerated Factors analysis library and Backtester☆703Updated 3 months ago
- Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.☆474Updated this week
- PyTrendFollow - systematic futures trading using trend following☆414Updated 7 years ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆901Updated last year
- Resources for Quantitative Finance☆758Updated last year
- ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algori…☆577Updated last year
- Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.☆464Updated last year
- experiments with pair trading☆307Updated 7 months ago
- A framework for quantitative finance In python.☆860Updated 2 years ago
- Sources codes for: Mastering Python for Finance, Second Edition☆422Updated last week
- Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Voll…☆807Updated 2 years ago
- Quantitative Finance tools☆552Updated 2 years ago
- An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian,…☆762Updated 2 months ago
- ☆500Updated last year
- MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning bas…☆513Updated last year
- A nimble options backtesting library for Python☆1,143Updated last year
- Framework for algorithmic trading☆851Updated last year
- High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques☆478Updated 2 years ago
- ☆313Updated 2 years ago