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

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

• UpdatedMay 19, 2023
• Python

Submission for Optiver's 2023 ReadyTraderGo.

• UpdatedMar 26, 2023
• Jupyter Notebook

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 🚀

• UpdatedJan 8, 2024
• Jupyter Notebook

The annual coding competition hosted by Optiver in collaboration with LSE

• UpdatedJul 18, 2022
• Python

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

• UpdatedMar 24, 2023

Optiver Go March 2023

• UpdatedMar 24, 2023
• Python

Optiver Ready Trader Go 2023

• UpdatedMar 19, 2023
• Python

My submission for the 2023 Optiver Ready Trader Go challenge.

• UpdatedMar 10, 2023
• Python

An attempt to a trading algorithm competition.

• UpdatedJan 28, 2024
• Jupyter Notebook

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

• UpdatedNov 17, 2020
• Jupyter Notebook

Optiver Ready Trader Go 2023

• UpdatedMar 19, 2023
• Python

My solutions to Optiver's Prove It series

• UpdatedOct 16, 2024
• Jupyter Notebook

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

• UpdatedApr 12, 2024
• Python