Skip to content
View Kunj121's full-sized avatar
  • UNIVERSITY OF CHICAGO
  • Chicago

Block or report Kunj121

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Kunj121/README.md

πŸ‘‹ Welcome to My GitHub!

πŸ§‘β€πŸŽ“ About Me

Hello! I'm Kunj, a Master's student in Financial Mathematics at the University of Chicago πŸŽ“. My passion lies in the intersection of quantitative finance, data analytics, and algorithmic trading. With a background in finance, mathematics, and programming, I'm constantly exploring new ways to extract insights from financial markets and build systematic trading strategies. The project below are a few assignments and work I have done throughout the past year!

πŸš€ Projects I'm Working On

Here are some of the exciting projects currently in development:

πŸ“ˆ Relative Volume Momentum Quantitative Trading Strategy (In Progress)

Developing a real-time trading strategy relative volume utilizing Alpaca

Testing and optimizing execution logic for PnL

πŸ€– Crypto On-Chain/Techinical MLP (In Progress)

Pulling On-Chain/historical data for PoS crypto currencies from Dune and Coin API

Implementing an MLP model to predict signals (buy/hold/sell)

πŸ”’ C++ Options Pricing Engine

Creating a options calculator for European Options

Utilizing Numerical Methods to price options

⚑ Nanosecond-Level BTC/USD Market Analysis

Analyzed nanosecond-level data for BTC/USD over a one-day period πŸ“‰

Conducted Monte Carlo simulations tuning the quoted participation rate between 2% and 5%

Visualized the impact using Seaborn, observing how participation levels influence the difference between the executed VWAP and the arrival price πŸ“Š

πŸ” CIP Arbitrage Strategy Replication

Replicated the Covered Interest Parity (CIP) arbitrage strategy using historical FX and interest rate data πŸ’±

πŸ“Œ Built a full end-to-end pipeline using pydoit for seamless data ingestion, processing, and analysis

Executed arbitrage detection logic, identifying mispricings between spot and forward FX markets vs interest rate differentials πŸ“ˆ

Validated strategy across multiple currency pairs, generating insights on arbitrage windows and inefficiencies in the CIP condition

πŸ“« Let's Connect!

If you're interested in quant finance, algo trading, or data-driven investing, feel free to reach out!

πŸ’Ό LinkedInπŸ“§

Pinned Loading

  1. QTSFinalProject QTSFinalProject Public

    Jupyter Notebook

  2. Quantamental_Strat Quantamental_Strat Public

    Quantamental Strategy based on Quandl/Zacks data

    Jupyter Notebook

  3. MCPricer MCPricer Public

    C++ Monte Carlo European Option Pricer

    C++

  4. AccumulationAlgo AccumulationAlgo Public

    Accumulation Algo on BTC

    Jupyter Notebook

  5. CIP CIP Public template

    Forked from jmbejara/blank_project

    Replication of CIP Study

    Jupyter Notebook 1