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EEAMI (XTAE:EEAM-M) Momentum Rank : 0 (As of Jul. 23, 2025)


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What is EEAMI Momentum Rank?

EEAMI has the Momentum Rank of 0.

Momentum Rank measures the strength and persistence of a stock's price movement over time, rated on a scale of 1 to 10.

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.

A higher score reflects strong price momentum and indicates greater potential for superior performance. Conversely, a lower score indicates that momentum is either too high or too low, and stocks tend to underperform.

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


EEAMI Momentum Rank Related Terms

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EEAMI Business Description

Traded in Other Exchanges
N/A
Address
4 HaBarzel Street, Ramat HaHayal, Tel Aviv, ISR, 6971008
EEAMI Ltd, Formerly Ecoppia Scientific Ltd offers cloud-based, connected platform and a suite of robotic solutions for smart management of solar plants. The company's robots clean solar panels globally every night, with no water, no electricity, and no human intervention. The robotic systems are cloud-based, utilizing information processing for an optimal and continuous solar electricity generation.

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