Capgemini Se Stock Technical Analysis

CAPMF Stock  USD 162.20  0.30  0.18%   
As of the 21st of December, Capgemini shows the Risk Adjusted Performance of (0.13), standard deviation of 2.44, and Mean Deviation of 2.06. Capgemini SE 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 Capgemini SE variance and value at risk to decide if Capgemini SE is priced correctly, providing market reflects its regular price of 162.2 per share. Given that Capgemini has information ratio of (0.19), we suggest you to validate Capgemini SE's prevailing market performance to make sure the company can sustain itself at a future point.

Capgemini Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Capgemini, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Capgemini
  
Capgemini's 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.
Capgemini technical pink sheet 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, pink sheet market cycles, or different charting patterns.
A focus of Capgemini technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Capgemini 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...

Capgemini SE Technical Analysis

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The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Capgemini SE volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Capgemini SE Trend Analysis

Use this graph to draw trend lines for Capgemini SE. You can use it to identify possible trend reversals for Capgemini 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 Capgemini price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Capgemini Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Capgemini SE applied against its price change over selected period. The best fit line has a slop of   1.01  , which may suggest that Capgemini SE market price will keep on failing further. It has 122 observation points and a regression sum of squares at 38224.96, which is the sum of squared deviations for the predicted Capgemini price change compared to its average price change.

About Capgemini 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 Capgemini SE 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 Capgemini SE based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Capgemini SE price pattern first instead of the macroeconomic environment surrounding Capgemini SE. By analyzing Capgemini'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 Capgemini'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 Capgemini specific price patterns or momentum indicators. Please read more on our technical analysis page.

Capgemini December 21, 2024 Technical Indicators

Most technical analysis of Capgemini 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 Capgemini from various momentum indicators to cycle indicators. When you analyze Capgemini 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.

Capgemini December 21, 2024 Daily Trend Indicators

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Capgemini stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.

Complementary Tools for Capgemini Pink Sheet analysis

When running Capgemini's price analysis, check to measure Capgemini's 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 Capgemini is operating at the current time. Most of Capgemini's value examination focuses on studying past and present price action to predict the probability of Capgemini's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Capgemini's price. Additionally, you may evaluate how the addition of Capgemini to your portfolios can decrease your overall portfolio volatility.
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