Concurrent Technologies (UK) Technical Analysis

CNC Stock   142.00  2.00  1.39%   
As of the 3rd of December, Concurrent Technologies shows the Downside Deviation of 2.13, mean deviation of 2.03, and Risk Adjusted Performance of 0.0574. Concurrent Technologies technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Concurrent Technologies maximum drawdown, semi variance, and the relationship between the jensen alpha and potential upside to decide if Concurrent Technologies is priced correctly, providing market reflects its regular price of 142.0 per share.

Concurrent Technologies Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Concurrent, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Concurrent
  
Concurrent Technologies' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
Concurrent Technologies technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Concurrent Technologies technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Concurrent Technologies trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Concurrent Technologies Technical Analysis

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The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Concurrent Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Concurrent Technologies Trend Analysis

Use this graph to draw trend lines for Concurrent Technologies Plc. You can use it to identify possible trend reversals for Concurrent Technologies as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Concurrent Technologies price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Concurrent Technologies Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Concurrent Technologies Plc applied against its price change over selected period. The best fit line has a slop of   0.58  , which means Concurrent Technologies Plc will continue generating value for investors. It has 122 observation points and a regression sum of squares at 12914.07, which is the sum of squared deviations for the predicted Concurrent Technologies price change compared to its average price change.

About Concurrent Technologies Technical Analysis

The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Concurrent Technologies Plc on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Concurrent Technologies Plc based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Concurrent Technologies price pattern first instead of the macroeconomic environment surrounding Concurrent Technologies. By analyzing Concurrent Technologies's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Concurrent Technologies's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Concurrent Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.

Concurrent Technologies December 3, 2024 Technical Indicators

Most technical analysis of Concurrent help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Concurrent from various momentum indicators to cycle indicators. When you analyze Concurrent charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Complementary Tools for Concurrent Stock analysis

When running Concurrent Technologies' price analysis, check to measure Concurrent Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Concurrent Technologies is operating at the current time. Most of Concurrent Technologies' value examination focuses on studying past and present price action to predict the probability of Concurrent Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Concurrent Technologies' price. Additionally, you may evaluate how the addition of Concurrent Technologies to your portfolios can decrease your overall portfolio volatility.
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