Disclaimer: The content on this website is for informational purposes only, and should not be construed as investment advice. Investing involves risk, and our models are inherently uncertain.
At FVEr, we do data driven investment research to help you make informed decisions about your investments. We use 20 years of historical stock market data to construct fair value estimators for various segments of the stock market, using a regression based algorithm.
Trubee is co-founder at FVEr Invest. Among other things, he oversees investment algorithm design. He attended Williams College for his undergraduate degree, and holds a Mathematics PhD from the University of Colorado Boulder. The genesis for FVEr Invest came to him while teaching a class on statistical regression. He resides in Boulder, CO.
George is co-founder at FVEr Invest. He oversees investment strategy, and social media. He is a graduate of the University of Houston with a BBA in Finance. During his time at university, he focused on strategy design and personal finance. Currently, he holds the Series 7 and Series 66 certifications and is a CFP® Candidate. He resides in Austin, TX.
Please reach us at info@fverinvest.com if you cannot find an answer to your question.
We use 20 years of historical weekly price data for a particular security, and apply an exponential regression based algorithm that produces a fair value estimator for that security, updated weekly. The algorithm employs an ensemble method adapted from machine learning to robustly mitigate for starting point bias, while also disregarding outlier data via a filtering strategy.
We've back tested all of our models for many years. When deciding if the model performs well we look for an average percent difference between the index price and the model to be near zero over a 10 year time period.
No. By and large, international indices are unreliable compared to US indices, and are not amenable to our modeling strategy.
Not at this time, but we may launch that in the future.
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