Alan Zelvin
Founder & Lead Crypto Researcher at YearBull
Alan Zelvin is the founder of YearBull, a data-driven crypto analytics platform focused on
long-term market structure, risk assessment, and cycle analysis.
His work centers on building objective, repeatable research models designed to help users understand
crypto market regimes beyond short-term price movements.
Professional experience
- Founder and lead researcher of YearBull, a crypto market analytics platform focused on long-term market structure and risk assessment.
- Design and continuous development of proprietary metrics, including YearBull Rank, Bull Score, Risk Level, and Cycle Position.
- Analysis of historical and live crypto market data to identify market cycles, regime shifts, and structural risk patterns.
- Ongoing maintenance of large-scale datasets covering coins, exchanges, trading pairs, and market liquidity.
- Author and editor of research content published across coin and market pages on YearBull.
About Alan
Alan Zelvin is a crypto market researcher and the architect of YearBull’s proprietary analytical framework.
His research focuses on identifying long-term market cycles, measuring risk and drawdown sensitivity,
and ranking crypto assets using consistent, transparent, and data-validated methodologies.
YearBull’s analytics are built on large-scale historical datasets and internally developed models.
Rankings and indicators are generated algorithmically and are not influenced by sponsorships,
token promotions, or short-term market narratives.
Areas of expertise
- Crypto market cycle analysis (early / mid / late regimes)
- Risk scoring and volatility profiling
- Liquidity analysis and market structure research
- Comparative asset ranking and long-term evaluation
- Exchange coverage, trading pairs mapping, and data quality control
Research methodology principles
- Data-first: all models are derived from structured datasets and tested for stability.
- Repeatability: identical rules are applied across assets and market conditions.
- Transparency: metrics are documented and updated with clear timestamps.
- Bias control: avoids cherry-picking and emphasizes long-term context over narratives.
Publications & research on YearBull
Contact & official profiles
- X (Twitter): @TheYearBull
- Telegram: @yearbull
- linkedIn: linkedin.com/in/alan-zelvin/
- Email: click@here
Editorial disclosure
Content published on YearBull is for informational and educational purposes only and does not constitute
financial or investment advice. Metrics such as YearBull Rank, Bull Score, Risk Level, and Cycle Position
are research outputs derived from historical and live data snapshots and may change as new data becomes available.