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.

Implemented the Avellaneda-Stoikov market-making strategy in an automated trading algorithm. Completed as part of the Optiver Ready Trader Go competition.

Submission for Optiver's 2023 ReadyTraderGo.

The annual coding competition hosted by Optiver in collaboration with LSE

Implemented a LightLGM model :dizzy: capable of predicting the closing price movements for hundreds of NASDAQ listed stocks :seedling: using data from the order book & the closing auction for Optiver's Trading Competition :rocket:

This repo explain about the Optiver Recruitment process, Types of rounds for Grad SWE - 2023

Optiver Go March 2023

Some things may be broken, work has stalled, you know what this is though :)

Optiver Ready Trader Go 2023

📈 Analysing stock indexes using "pandas" and "Matplotlib" libraries in Python.

My submission for the 2023 Optiver Ready Trader Go challenge.

Kaggle (2021) Optiver Realized Volatility Prediction — reproducible, script-first ML pipeline (no data included).

Repo contains an implementation of a market maker trading strategy. Engine provided by Optiver

Optiver Ready Trader Go 2023