JENOVA is an AI model specializing in fundamental stock valuation. Trained on the fundamental analysis methodologies used by hedge funds, JENOVA aims to make institutional-level stock valuation data open and available to all investors.
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Sample JENOVA Price Targets
As of September 1, 2023
Why Use JENOVA?
How to accurately determine the intrinsic value of a stock?
Leverage JENOVA price targets for the best estimate of intrinsic value, calculated by AI-powered fundamental analysis.
How to quickly discover new stock ideas?
Reduce screening time and increase probability of identifying alpha-generating stocks by using JENOVA price targets.
How to objectively validate current stock holdings?
Evaluate current stock holdings with JENOVA’s weekly updated price targets for supplementary and unbiased validation.
How JENOVA Works
JENOVA is engineered and trained exclusively on fundamental analysis — the method of valuation that comprehensively analyzes company financial statements, future financial outlook, and various economic factors to estimate intrinsic value.
Optimizing Fundamental Analysis on a Large Scale
By integrating fundamental analysis with machine learning, JENOVA can generate price targets on a large scale capable of outperforming traditional valuation methods and other publicly available metrics.
Correlation vs Average 1-Year Stock Return
See Footnote 1
JENOVA Price Target vs Average 1-Year Stock Return
See Footnote 2
What Early Users are Saying
"I have been using JENOVA for approximately 3 months and find the system informative, most effective, and have obtained above average investment results from the ratings. I have previously paid out large monthly sums for other investment data services and find JENOVA to be superior to the other ones I have used so far."
– Registered Investment Advisor
“I've been using JENOVA for stock idea generation purposes for my personal portfolio. I am very happy with the investment ideas I got from JENOVA and the concise, relevant layout of the investment data -- it's better than the other investment data tools I've used in the past, and the results prove it.”
– Retail Investor
Legal Disclaimer: JENOVA LLC is not an investment adviser and is not registered as such with any federal or state regulatory agency. JENOVA LLC does not provide investment advice or other investment services. The information on this website does not constitute (i) investment advice, (ii) recommendations or “signals” to buy or sell any securities or other financial instruments (including without limitation, any securities or instruments referenced herein) or (iii) an offer to sell or the solicitation of an offer to buy any securities. Any investment decision based in whole or in part on information on this site is not the responsibility of JENOVA LLC.
1. For informational purposes only to demonstrate the performance of JENOVA Price Targets. JENOVA Price Targets are generated using out-of-sample data consisting of 535 US stocks as of February 12, 2023. Other comparative metrics were calculated for the same sample stocks as of February 12, 2023. Correlation with average 1-year stock returns was calculated using each respective metric (JENOVA Price Targets are converted to percentage expected return format relative to its market price on February 12, 2023) and the average forward 1-year return (market capitalization growth plus dividends paid) of each sample stock from February 12, 2023 to August 8, 2023 (total sample period is less than 1 year due to constraints in out-of-sample data).
2. For informational purposes only to demonstrate the performance of JENOVA Price Targets. JENOVA Price Targets are generated using out-of-sample data consisting of 535 US stocks as of February 12, 2023. JENOVA Price Targets are converted to percentage expected return format relative to its market price on February 12, 2023. Average 1-year stock returns were calculated using market capitalization growth plus dividends paid of each sample stock from February 12, 2023 to August 8, 2023 (total sample period is less than 1 year due to constraints in out-of-sample data).