Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

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

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.

Binance_grid_trader is a grid strategy bot trading with Binance Spot and Binance Futures Exchange. you can use it to trade any pair in Binance Exchange. Binance_grid_trader是一个币安网格策略软件, 目前支持币安现货，USDT合约和币币合约。

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

A cryptocurrency arbitrage framework implemented with ccxt and cplex. It can be used to monitor multiple exchanges, find a multi-lateral arbitrage path which maximizes rate of return, calculate the optimal trading amount for each pair in the path given flexible constraints, and execute trades with multi-threading implemenation.

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

HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data (and tick data) Historical FX Prices (up to date).

🔁 StableSwap by Saber: an automated market maker for mean-reverting trading pairs.

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

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

experiments with pair trading

Using deep actor-critic model to learn best strategies in pair trading

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

High-frequency statistical arbitrage

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Pairs Trading using Statistical Arbitrage

This includes a notebook on how to implement Quantitative Strategies, specifically the Pairs Trading Algorithm.

This application connects to the Binance.com public API to get live 24h price change data for all crypto trading pairs on their platform and allows you to set custom alerts or watch for price change in real time and get desktop notifications when something triggers your alerts or price watch settings.

Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Lisboa).

Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.

A .NET 10 WPF client and ASP.NET Core Web API platform for trading and running crypto currency pair strategies.

Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.

A muti pairs martingle trading bot for Binance exchange.

Pairs Trading with Machine Learning on Distributed Python Platform

High Frequency Pairs Trading Based on Statistical Arbitrage (Python) :moneybag:

😲🤑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📊 📈 📉

Trading bot scalper for the XAU/USD (Gold to US Dollar) pair