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RadNet (FRA:PQIA) 9-Day RSI : 54.24 (As of May. 10, 2024)


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What is RadNet 9-Day RSI?

The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. The RSI is most typically used on a 14-day period, measured on a scale from 0 to 100. Traditionally, an asset is considered overbought or overvalued when the RSI is above 70 and oversold or undervalued when it is below 30. A shorter period RSI is more reactive to recent price changes, so it can show early signs of reversals. 9-Day RSI is sometimes used together with 14-Day RSI in a two period divergence strategy.

As of today (2024-05-10), RadNet's 9-Day RSI is 54.24.

The industry rank for RadNet's 9-Day RSI or its related term are showing as below:

FRA:PQIA's 9-Day RSI is ranked worse than
89.34% of 244 companies
in the Medical Diagnostics & Research industry
Industry Median: 49.59 vs FRA:PQIA: 54.24

Competitive Comparison of RadNet's 9-Day RSI

For the Diagnostics & Research subindustry, RadNet's 9-Day RSI, along with its competitors' market caps and 9-Day RSI data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


RadNet's 9-Day RSI Distribution in the Medical Diagnostics & Research Industry

For the Medical Diagnostics & Research industry and Healthcare sector, RadNet's 9-Day RSI distribution charts can be found below:

* The bar in red indicates where RadNet's 9-Day RSI falls into.



RadNet  (FRA:PQIA) 9-Day RSI Calculation

The formula for calculating RSI is:

RSI=100[ 100 / ( 1 + Average Gain / Average Loss )]

* Note that the formula uses a positive value for the average loss.

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


RadNet  (FRA:PQIA) 9-Day RSI Explanation

The Relative Strength Index (RSI), developed by J. Welles Wilder in his book “New Concepts in Technical Trading Systems.”, is a momentum oscillator that measures the speed and change of price movements. The RSI is most typically used on a 14-day period, measured on a scale from 0 to 100.

Traditionally, an asset is considered overbought or overvalued when the RSI is above 70 and oversold or undervalued when it is below 30. A RSI surpasses the 30 level indicates a bullish sign, when it slides below 70 level, it’s a bearish sign. This level can be adjusted depending on the security’s pattern and the market’s underlying trend. In an uptrend or bullish market, the RSI might range within a higher interval, investors could set the support level higher. If a downtrend or bearish market occurs, investors may need to lower the resistance level.

RSI can also be used in trading techniques to indicate the trading signal, such as Divergences and Swing Rejections. A shorter period RSI is more reactive to recent price changes, so it can show early signs of reversals. 9-Day RSI is sometimes used together with 14-Day RSI in a two period divergence strategy.


RadNet 9-Day RSI Related Terms

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RadNet (FRA:PQIA) Business Description

Traded in Other Exchanges
Address
1510 Cotner Avenue, Los Angeles, CA, USA, 90025
RadNet Inc is a national provider of diagnostic imaging services that operates in two business segments; Imaging Center segment provides physicians with imaging capabilities to facilitate the diagnosis and treatment of diseases and disorders. Services include magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), nuclear medicine, mammography, ultrasound, diagnostic radiology (X-ray), fluoroscopy and other related procedures, and Artificial Intelligence segment develops and deploys clinical applications to enhance interpretation of medical images and improve patient outcomes with an emphasis on brain, breast, prostate, and pulmonary diagnostics. The company derives a majority of its revenue from the Imaging center segment.

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