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Jeffrey Zhang / 张郅睿

I test
signals
with data.

I am an incoming Engineering Science student at the University of Toronto, interested in quantitative research and software systems that make hypotheses testable.

Explore my work
LIVE SIGNAL FIELD --:--:-- EST
X 042 Y 071 CONF 88.4%

Move through the field to inspect the signal.

Start a conversation
U OF T ENGINEERING SCIENCE+QUANTITATIVE RESEARCH+ FRONTEND DEVELOPMENT+ENTREPRENEURSHIP+

ABOUT

How I approach problems

I am completing high school in Toronto and will begin Engineering Science at U of T in 2026. My work usually starts with a question, then moves into a model, prototype, or experiment that can be checked against evidence.

Quantitative research appeals to me because it requires clear assumptions, careful testing, and honest interpretation of results.

I also value practical building: frontend work, research notebooks, and product ideas that turn constraints into something usable.

WORKFLOW

QUESTIONDefine the hypothesis
MODELBuild a testable version
EVIDENCEEvaluate the result

NOW BUILDING

Current focus

Current projects

Two directions I am building right now.

IN PROGRESS

Fengshui AI

A product experiment around making room and layout observations easier to see and explain.

AI product Spatial interface
IN PROGRESS

Quantitative model

A research model for testing market signals with code, data, and disciplined review.

Signal testing Research workflow

JOURNEY

Education and experience

Education and project work

Education, experience, and milestones.

2026 / NEXT

EDUCATION

University of Toronto

Beginning Engineering Science in 2026.

TORONTO, ON
MAY 2025 / PRESENT

EXPERIENCE

Frontend Developer · VolunTrack

Developing frontend interfaces and interaction details as the product evolves.

PRODUCT / WEB
2022 / 2026

EDUCATION

Earl Haig Secondary School

Focused on mathematics, contests, and project-based learning.

TORONTO, ON

DISTINCTIONS

Selected results
MATHEMATICS Top 1%

AMC 12

MATHEMATICS Top 20

Euclid Contest · Canada

ENTREPRENEURSHIP · 2024 Top six in Ontario

Developed a Junior Achievement venture concept using recycled wine corks as the core material for slippers.

SELECTED WORK

Projects and contributions

Selected project work

Research and building in practice.

QUANTITATIVE RESEARCH / GITHUB01
RESEARCH WINDOW MAY 2026 Yahoo Finance · 130 symbols tested · 128 with available data
BASE W MODEL
+16.16%
+ TREND FILTER
+23.94%
MAX DRAWDOWN-4.24%
TRADES TAKEN142
TRADES RETURNING ≥1%33.33%
SIMULATED END VALUE$123,939.96

The backtest starts with a simulated $100,000. Each trade uses 20% of current equity, with at most five open positions.

W-Model Trading Research

I tested whether adding market context before entry improves a W-bottom signal.

01 / SIGNALEarly higher-low W pattern on 5-minute bars
02 / CONTEXT60-minute pre-entry return above 1%
03 / RISK3R target · 0.5% stop buffer · exit after 240 minutes
FINDING

After adding the trend filter, simulated return increased from 16.16% to 23.94%, while maximum drawdown decreased from 6.17% to 4.24%.

LIMITATION

The model and filter were selected using the same May 2026 sample. Results exclude commissions and slippage, so they should be read as research evidence rather than expected future performance.

View repository Inspect result data
FRONTEND DEVELOPMENT / VOLUNTRACK02

VolunTrack Frontend

I contribute to frontend interface development for VolunTrack, focusing on clear implementation and consistent interaction details as the product evolves.

ENTREPRENEURSHIP / JUNIOR ACHIEVEMENT03

Cork Slipper Venture

Developed a Junior Achievement venture concept using recycled wine corks as the core material for slippers; the project placed top six in Ontario in 2024.

Open to research and project conversations

Interested in research-driven building?

Email Jeffrey

BASED IN TORONTO

INCOMING U OF T ENGINEERING SCIENCE

OPEN TO QUANTITATIVE RESEARCH AND EARLY-STAGE PROJECTS