There are 26 repositories under pairs-trading topic.
Quantitative analysis, strategies and backtests
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com
High-frequency statistical arbitrage
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉
Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.
Find trading pairs with Machine Learning
Design your own Trading Strategy
stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.
A pairs trade is a market neutral trading strategy enabling traders to profit from virtually any market conditions. This strategy is categorized as a statistical arbitrage and convergence trading strategy.
Pairs Trading with Alpaca - created on behalf of AlgoTrading101.com for alpaca.markets/learn
RESTful API for trading stocks (single or pairs), deployed on Heroku
The notebook with the experiments to replicate and enhance the stock clustering proposed by Han(2022) for alogtrading, with KMeans Optimization
Shiny frontend for the pairs trade search engine.
This repository contains a range of Financial Engineering Projects utilizing Data Science and Python to apply quantitative methods in the Financial markets
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
A custom-built pairs trading simulator in R to analyze different ways of coducting this type of trade on US Sector SPDRs. We assessed both commonly-used price and return correlations between assets as well as using model residuals for both ARIMA and GARCH (volatility) type time series modelling.
On-going project: I will be implementing a combination of pairs trading strategies in attempt to see which type performs best after backtesting. The main ideas involve cointegration, kalman filter, copulas, and machine learning approaches. Since it is a market-neutral strategy, we will analyse the performance on its alpha rather than sharpe ratio.
jquants-pairs-trading is a python library for backtest with japanese stock pairs trading using kalman filter, J-Quants on Python 3.8 and above.
Pairs Trading Bot for NYSE built using Alpaca API & Python
# 2022 COMAP Problem C chosen (Bitcoin and Gold Quant Trading
Simple test of pair-trading investment strategy (2017)
This is our undergraduate final year project Stock Prediction Based On Deep Learning And Its Application In Pairs Trading(an interdisciplinary project from data science and financial mathematics)
In the following research, we will analyze the effects of pairs trading (multiple companies across multiple industries) excluding the profitability of such strategies. Rather, we will analyze various risk measures across all different pairings of stocks within their own respective industry across multiple industries.
Using Copulas model to capture non-linear relationship between stock pairs and conduct statistical arbitrage by pairs trading strategies.
Version 3 of RESTful API for trading stocks (single or pairs), deployed on Heroku
Pairs Trading screening with cointegration in R