Andre Sealy

Andre Sealy

Quant Research / Data Scientist / Writer


Andre is a New York City based researcher and financier. His research interest includes investments, mobile computing, programming, sports and film. Andre does research in Economics and Finance, particularly in the Fixed Income Markets. His current project is ‘Mind The Gap: Alternative Trading Strategies for Retail Investors’.

  • Machine Learning
  • Mathematical Finance
  • Fixed Income / Equity Research
  • Corporate Finance
  • Economics
  • FinTech
  • Rubik’s Cubes Algorithms
  • Crypto Currencies / Blockchain
  • Data Science
  • Ph.D. Candidate - Financial Engineering, 2028

    Stevens Institute of Technology

  • BA/MA in Statistics & Applied Mathematics, 2021

    City University of New York - Hunter College

  • BBA in Finance, 2019

    Pace University, Lubin School of Business

  • BA in Economics, 2019

    Pace University, Dyson School of Arts & Science


January 2021 – Present California

Responsibilities include:

  • Analysing
  • Modelling
  • Deploying
University X
Professor of Semiconductor Physics
University X
January 2016 – December 2020 California
Taught electronic engineering and researched semiconductor physics.


Neural Networks and Deep Learning
See certificate
Formulated informed blockchain models, hypotheses, and use cases.
See certificate
Object-Oriented Programming in R
See certificate

Recent Posts

Is DJT a Meme Stock?


Does a r/WallStreetBets Portfolio Significantly Outperform?
No, but we can watch some interesting stock pitches and learn some valuable lessons
Analyzing News Articles With Python
We Analyze the polarity, sentiment, meta-cognition, bias, and many other things.
Forecasting Asset Prices Using VAR and Granger Causality
An exploration of the Black-Scholes framework and examining payoff functions and option Greeks.
Pairs Trading Strategies in Python
Using statistical and quantitiative strategies to gain an edge in the financial markets.
401K Optimization Using Modern Portfolio Theory
Using financial theory and modern programming to construct the best retirement account.
Option Payoffs, Black-Scholes, and the Greeks
An exploration of the Black-Scholes framework and examining payoff functions and option Greeks.
Predicting the 2018 World Cup Winner Using Machine Learning
Using historical World Cup and Fifa data to forecast the winner.

Recent Publications

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Recent & Upcoming Talks


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