Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

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

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

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

A Project to identify statistical arbitrage opportunities between cointegrated pairs. This is referred to as 'Pairs Trading' which is a bet on the mean reversion property of the spread.

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

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

Quantitative analysis, strategies and backtests

Design your own Trading Strategy

😲🤑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📊 📈 📉

A Project to identify arbitrage opportunities between two stock exchanges trading the same stock. The algorithm searches for the possibility of a mismatch and trades on it. Next to that, it takes into account certain limits, which is set to a max position of 250 to prevent massive losses if the algorithm malfunctions.

Pairs trading experiment

Shiny frontend for the pairs trade search engine.

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

Simple test of pair-trading investment strategy (2017)

My solutions and notes for Udacity's Nanodegree in Artificial Intelligence for Trading.

The algorithm of searching for pontential pairs trading pair

A repository for implementing and testing a dynamic pairs trading strategy using Kalman Filtering on brazilian traded ETF's.