FMVA (CFI)
The Financial Modeling & Valuation Analyst program taught me to build advanced financial models. I do not just watch charts - I evaluate risk and asset potential with the same framework used by top investment funds.
Toronto
Core Education
ETH Zurich
MSc Quant Finance
London + Berlin
Practice & Algorithms
European Education and Transition
My roots are in cozy Winnipeg, and my foundational education came from the University of Toronto. But I always knew that to understand global markets, I had to learn from the inside - where the heartbeat of world finance is strongest. That is how my European chapter began.
Moving to Zurich was a challenge. My MSc in Quantitative Finance at ETH Zurich taught me one essential principle: numbers never lie. While many classmates planned careers in traditional banking, I spent nights studying blockchain, knowing the future was already here.
CISI Level 3
During my London practice, I completed certification through the Chartered Institute for Securities & Investment. It is a British professional standard that deepened my understanding of institutional players and capital structure.
Philosophy
European Precision + British Discipline
For me, investing is never impulse or emotion. It is decision architecture: hypothesis, calculation, risk profile, execution. That is exactly why automation plays such a central role in my strategy.
"Numbers do not argue - they reveal truth."
This principle has guided me since day one in quantitative finance and remains my core standard in selecting strategies.
Practice: London and Berlin
London (The City)
Working as an analyst in a fintech company trained me in composure and speed. Markets do not wait, and here I learned the value of every second.
Berlin
In Europe's crypto heart, I worked with blockchain startups and built my first algorithms. That is where I understood that automation removes emotional bias and protects disciplined execution.
Inside The Story
iPhone Gallery Experience
A dedicated mobile-style feed to view Emily's moments in a more intimate editorial format. The gallery scrolls directly inside the iPhone frame.
Framework
How I Build Strategy
Risk-First Architecture
Every decision starts with risk budgeting before any return target is considered.
Systematic Execution
Rules are predefined, repeatable, and insulated from emotional market noise.
Transparent Logic
Strategy behavior can be explained clearly, stress-tested, and reviewed at any time.
Method Transparency
How Decisions Are Structured
- Predefined entry and exit logic with risk limits first.
- Scenario checks before execution under different volatility regimes.
- Post-trade review cycle to refine consistency, not impulse.
Risk & Compliance
Capital Protection Standards
- Position sizing is constrained by portfolio risk budget rules.
- Drawdown and exposure controls are monitored continuously.
- No guarantees of return; discipline and risk management come first.
Credentials
Professional Certifications
Emily Crypto Diary
An Automated Platform Without Stress
I packaged complex algorithms into a clear structure where every stage - from volatility analysis to risk control - runs systematically and transparently. This allows us to focus on capital growth rather than endless screen monitoring.
Return to Canada and Emily Crypto Diary
I returned to Canada with expertise usually available only to top managers in the City or Zurich. My mission is to make these strategies accessible.
In Emily Crypto Diary, I merged European precision, British discipline, and the opportunities of the crypto market. I transformed complex models into an automated framework so we can grow capital without stress and constant monitoring.
From snowy Winnipeg to Europe's financial capitals, every step was taken so we could build your financial future together. I am glad you are here with me.
— Emily
Frequently Asked Questions
Is this short-term speculation?
No. The focus is on structured capital growth with controlled risk, not impulsive trading.
Do I need to monitor charts all day?
No. The framework is designed to reduce screen dependency through automation and predefined logic.
What makes this approach different?
It combines quantitative discipline, institutional standards, and transparent decision architecture.
Execution Standard
Rule-based system, not discretionary clicks
Risk Discipline
Exposure controls and drawdown limits at portfolio level
Communication
Clear onboarding path and direct channel for questions
How We Start
Simple 3-Step Onboarding
Share your goals, timeline, and comfort level with risk.
Receive a structured framework overview with fit and boundaries.
Choose next actions in Telegram or email at your own pace.
Legal & Risk Disclaimer
The information is for informational purposes only and not intended as direct advice. It is crucial to consider that dealing with digital assets always involves a certain level of uncertainty and market dynamics. All decisions you make should always be based on your own analysis and you should seek expert opinion where appropriate.