Enlitic (ASX:ENL) Momentum Rank : 0 (As of May. 26, 2024)

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What is Enlitic Momentum Rank?

Enlitic has the Momentum Rank of 0.

For Momentum Rank, we considered the residual momentum concept that was widely studied by Blitz and his colleagues as well as by Nobel Prize laureates Fama and French. However, we did not find any significant differences in the performances of stocks with different ranks of residual momentum. Therefore, we use traditional momentum instead.

Momentum Rank is determined using the standardized momentum ratio and other momentum indicators. The standardized momentum ratio is the average of the performances from 12 months ago to 1 month ago and 6 months ago to 1 month ago, divided by the beta of the stock over the past 12 months. To calculate the momentum ratio today, we would use the average of the two performance numbers.

For momentum, we found that stock price performance does not have a monotonic correlation with the momentum ratio. The stocks with the highest momentum ratios perform worse than those at about the 70th percentile. Therefore, for the momentum rank, we ranked the stocks at about the 70th percentile of the momentum ratio as the highest at 10.

Please click GF Score to see more details on the GF Score's 5 Key Aspects of Analysis.

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Enlitic (ASX:ENL) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Healthcare » Healthcare Providers & Services » Enlitic Inc (ASX:ENL) » Definitions » Momentum Rank

Comparable Companies

Traded in Other Exchanges

N/A

Address

3420 East Harmony Road, Suite 125, Fort Collins, CO, USA, 80528

Website

https://www.enlitic.com

Enlitic Inc is focused on artificial intelligence that enables effective administration, processing, and sharing of medical imaging data throughout the healthcare enterprise. It is also focused on developing tools that solve longstanding challenges in radiology rather than developing point solutions that exacerbate the issues radiology faces. Enlitic provides a solid plan that addresses data inconsistencies and risk associated with moving studies containing PHI and is focused on using AI for the medical imaging layer of a real-world evidence (RWE), providing healthcare organizations with a stepwise approach to operationalizing their AI.

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