Leveraged ETFs
Without the Guesswork
The hard question is not whether to use them — it's when. Our proprietary valuation signals help answer that question systematically.
Price has structure. We measure it.
Our models process 20 years of daily price history for every tracked asset to estimate its long-term trajectory and generate a proprietary Fair Value Estimator (FVE)—a dynamic reference point for evaluating where the current price sits relative to its historical path.
Measure
Long-term price data establishes the structural trajectory of each asset.
Estimate
The FVE model creates a continuously updated estimate of where price sits relative to that trajectory.
Identify
Significant deviations from the underlying trajectory generate quantitative signals used throughout the FVEr platform.
The underlying model uses exponential regression across historical price data, evaluating hundreds of different starting points to reduce sensitivity to any single portion of the dataset. A sophisticated set of filtering criteria removes outlier trajectories, allowing the model to isolate the underlying price structure. This compute-intensive algorithm produces a systematic, repeatable framework for evaluating price without requiring a discretionary market forecast.
Every signal begins with the same process: historical data, mathematical modeling, and a systematic evaluation of current price relative to its long-term trajectory.
Quantitative tools. Practical investment decisions.
Membership gives you access to the models, strategies, and research behind the FVEr approach.
FVE Dashboard
Explore the Fair Value Estimator across 30+ ETFs, with in-depth quantitative analysis of price, valuation, trends, and model conditions.
Leveraged ETF Strategy
Follow a systematic strategy that uses FVEr signals to determine when conditions favor leveraged or unleveraged ETF exposure.
Research & Blog
Follow our ongoing quantitative research, market analysis, and commentary on the signals and conditions shaping the models.
Built by people who use the models themselves.
Trubee Davison
Trubee is co-founder of FVEr Invest and designs the investment algorithms behind the platform. He holds a PhD in Mathematics from the University of Colorado Boulder and an undergraduate degree from Williams College. The FVEr models grew out of a class he was teaching on statistical regression. He's personally traded the approach since FVEr's 2025 launch.
George Ferrell
George is co-founder of FVEr Invest and oversees investment strategy. He's a University of Houston graduate with a BBA in Finance and holds his Series 7 and Series 66 certifications, with a background in strategy design and personal finance.