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pairs-trading

Here are 57 public repositories matching this topic...

AlgorithmicTrading

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.

  • UpdatedAug 13, 2023
  • Jupyter Notebook

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

  • UpdatedMay 21, 2019

This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

  • UpdatedApr 1, 2024
  • Jupyter Notebook

📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here:https://purvasingh.medium.com

  • UpdatedDec 25, 2020
  • Jupyter Notebook

A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

  • UpdatedJul 20, 2021
  • Java

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.

  • UpdatedDec 8, 2022
  • Python

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

  • UpdatedJun 21, 2022
  • Python
Stock-Market-Analysis

😲🤑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📊 📈 📉

  • UpdatedJul 3, 2020
  • Jupyter Notebook
pair-trading-view

Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.

  • UpdatedAug 1, 2023
  • C#

Find trading pairs with Machine Learning

  • UpdatedMay 26, 2021
  • Jupyter Notebook

stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.

  • UpdatedSep 19, 2023
  • Python

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.

  • UpdatedNov 21, 2021
  • Python

Pairs Trading with Alpaca - created on behalf of AlgoTrading101.com for alpaca.markets/learn

  • UpdatedDec 8, 2020
  • Python

The notebook with the experiments to replicate and enhance the stock clustering proposed by Han(2022) for alogtrading, with KMeans Optimization

  • UpdatedMar 7, 2024
  • Jupyter Notebook

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