ArturSepp / QuantInvestStratsLinks
Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
☆460Updated last week
Alternatives and similar repositories for QuantInvestStrats
Users that are interested in QuantInvestStrats are comparing it to the libraries listed below
Sorting:
- Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.☆646Updated this week
- This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…☆517Updated last year
- Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integr…☆739Updated this week
- A Python library for evaluating option trading strategies.☆438Updated 6 months ago
- Backtest and live trading in Python☆644Updated last year
- Feature Engineering and Feature Importance in Machine Learning for Financial Markets☆189Updated last year
- Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.☆493Updated last year
- Recreate EP Chan algo trading book strategies☆415Updated 7 years ago
- Examples of code related to book www.systematictrading.org and blog qoppac.blogspot.com☆443Updated 5 years ago
- SABR model Python implementation☆530Updated 3 years ago
- Open sourced research notebooks by the QuantConnect team.☆678Updated last year
- A Python library for mathematical finance☆502Updated 2 years ago
- Quantitative Finance tools☆563Updated 2 years ago
- Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.☆579Updated this week
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆1,008Updated 2 years ago
- HFT signals on GDAX☆111Updated 7 years ago
- Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitativ…☆584Updated 9 months ago
- A dockerized Jupyter quant research environment.☆218Updated this week
- ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algori…☆609Updated last year
- An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian,…☆795Updated 5 months ago
- experiments with pair trading☆324Updated 11 months ago
- Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Voll…☆834Updated 2 years ago
- Top training materials in quantitative finance☆512Updated 2 months ago
- GPU-accelerated Factors analysis library and Backtester☆748Updated 6 months ago
- PyTrendFollow - systematic futures trading using trend following☆427Updated 7 years ago
- Portfolio and risk analytics in Python☆542Updated 2 weeks ago
- A framework for quantitative finance In python.☆882Updated 2 years ago
- Performance analysis of predictive (alpha) stock factors☆499Updated 2 weeks ago
- Sources codes for: Mastering Python for Finance, Second Edition☆433Updated last month
- Resources for Quantitative Finance☆772Updated last year