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.

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

The annual coding competition hosted by Optiver in collaboration with LSE

Optiver Go March 2023

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

Optiver Ready Trader Go 2023

An attempt to a trading algorithm competition.

Optiver Ready Trader Go 2023

My submission for the 2023 Optiver Ready Trader Go challenge.

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

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

My solutions to Optiver's Prove It series