Andre Sealy

Quant Research / Data Scientist / Writer

Biography

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’.

Interests

• Machine Learning
• Mathematical Finance
• Fixed Income / Equity Research
• Corporate Finance
• Economics
• FinTech
• Rubik’s Cubes Algorithms
• Crypto Currencies / Blockchain
• Data Science

Education

• Ph.D. Candidate - Financial Engineering, 2028

  Stevens Institute of Technology

• MA in Statistics & Applied Mathematics, 2024

  City University of New York - Hunter College

• BA in Pure Mathematics, 2023

  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

Experience

 

 

 

 

 

CEO

GenCoin

January 2021 – Present California

Responsibilities include:

• Analysing
• Modelling
• Deploying

 

 

 

 

 

Professor of Semiconductor Physics

University X

January 2016 – December 2020 California

Taught electronic engineering and researched semiconductor physics.

Accomplish­ments

Neural Networks and Deep Learning

Coursera Jan 2021

See certificate

Blockchain Fundamentals

edX Jan 2021

Formulated informed blockchain models, hypotheses, and use cases.

See certificate

Object-Oriented Programming in R

DataCamp Jul 2020 – Dec 2020

See certificate

Recent Posts

Is DJT a Meme Stock?

Probably.

Andre Sealy

Apr 2, 2024 5 min read Finance, Programming

How Dangerous Is Biking in New York City

I tried analyzing cycling accidents around New York City, but it was difficult to draw meaningful conclusions from the data. For example, men die more frequently than women while biking, according to a report on Bicyclist Fatalities and Serious Injuries in New York City.

Andre Sealy

Mar 31, 2024 3 min read Programming, Data Science

Revisitng Delta

I’ve recently been tasked with working more with more fixed-income derivatives, so I’m writing this more as a refresher for myself, but I’ve always guaged how well I know something based on how well I’m able to teach others.

Andre Sealy

Mar 28, 2023 11 min read Finance, Programming

r/WallStreetBets Most Talked About Stonks

One of the most bizarre David vs. Goliath scenarios in modern finance, by far, belongs to the retail investors from Reddit’s r/WallStreetBets versus Hedge Fund space. The story became such a fad that it garnered the attention of Treasury Secretary Janet Yellen and the SEC.

Andre Sealy

Jun 5, 2021 8 min read Finance, Programming

COVID Vs. Economy

On this blog, I’ve talked about the Mathematics of Pandemics. I’ve even talked about the Politics of Pandemics. I’m long overdue to discuss the “Economics of Pandemics;” however, theorizing the potential effects of an inadequate response was pretty pointless, as anyone who has lived through the Great Recession would tell you.

Andre Sealy

Aug 22, 2020 9 min read Data Science, Economics

See all posts

Projects

*

All Deep Learning Other

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.

Gallery

Featured Publications

Andre Sealy

April, 2019 In STC

Mind The Gap

Can data science and machine learning help close the performance gap between retail and institutional investors?

Recent Publications

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Recent & Upcoming Talks

Example Talk

An example talk using Hugo Blox Builder’s Markdown slides feature.

Jun 1, 2030 1:00 PM — 3:00 PM Hugo Blox Builder HQ

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Popular Topics

Biking Binance Black Lives Matter Blockchain Cancel Culture Coronavirus COVID-19 COVID19 CPI Crypto Currency Data Science Defund the Police Finance Investing Machine Learning Mathematics Programming Quant Finance Statistics Trading

Contact

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