Wat Street is a design team at the University of Waterloo striving to provide a comprehensive education in financial investment strategies and algorithm development. Our goal is to create a space where students can learn the fundamentals of quantitative analysis and how to apply them in the real world.
Wat
Street
is
a
design
team
at
the
University
of
Waterloo
striving
to
provide
a
comprehensive
education
in
financial
investment
strategies
and
algorithm
development.
Our
goal
is
to
create
a
space
where
students
can
learn
the
fundamentals
of
quantitative
analysis
and
how
to
apply
them
in
the
real
world.
Wat
Street
is
a
design
team
at
the
University
of
Waterloo
striving
to
provide
a
comprehensive
education
in
financial
investment
strategies
and
algorithm
development.
Our
goal
is
to
create
a
space
where
students
can
learn
the
fundamentals
of
quantitative
analysis
and
how
to
apply
them
in
the
real
world.
Projects
Mean Reversion
Using fluctuations in the price of a stock to generate profits over time.
Sentiment Analysis
Using fluctuations in the price of a stock to generate profits over time.
Crypto Arbitrage
Analyzing opportunities for arbitrage across various exchanges.
LLM Research
In-house LLM to assist quant devs with training models, research, etc.
Backtesting Platform
A way to test our models on the market and assess performance.
ML Platform
A place for devs to securely utilize hardware to train models for free!
Mean Reversion
Using fluctuations in the price of a stock to generate profits over time.
Sentiment Analysis
Using fluctuations in the price of a stock to generate profits over time.
Crypto Arbitrage
Analyzing opportunities for arbitrage across various exchanges.
LLM Research
In-house LLM to assist quant devs with training models, research, etc.
Backtesting Platform
A way to test our models on the market and assess performance.
ML Platform
A place for devs to securely utilize hardware to train models for free!
Team
Jaimil Dalwadi
President + Co-Founder, Lead Dev
Joseph Ma
VP of Tech + Finance
Krish Modi
VP Logistics, Machine Learning Lead
Ishaan Dey
VP Operations, Frontend Lead
Akshar Barot
VP Marketing, Frontend Lead
Jay Patel
Backend
Ryan Hu
Backend
Anthony Pirvuti
Backend
Arshvir Chaudhary
Backend
Jeffery Zhao
Backend
Shaheer Hassan
Backend
Akshat Shah
Frontend
Sunnie Kapar
Frontend
Tian Yao
Frontend
Aurora Shi
Frontend
Alekszandr Martin Olah
Quant
Richard Fan
Quant
Jacob Yan
Quant
Suraj Sivaraja
Quant
Tommy Gu
Quant
Denys Inhul
Quant
Owen Zhang
Quant
Rebecca Xu
Quant
Gurik Mangat
Quant
Kamakshi Sarva
Quant
Megha Raj
Quant
Rehan Anjum
Quant
Reshi Adavan
Quant
Sheldon Lewis
Quant
Sourish Das
Quant
Our advisors have worked at: