PC Connection (Germany) Technical Analysis

PCC Stock  EUR 48.80  0.80  1.61%   
As of the 16th of January 2026, PC Connection owns the information ratio of (0.09), and Market Risk Adjusted Performance of (0.24). In connection with fundamental indicators, the technical analysis model allows you to check timely technical drivers of PC Connection, as well as the relationship between them. Please check PC Connection coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if PC Connection is priced favorably, providing market reflects its prevailing price of 48.8 per share.

PC Connection Momentum Analysis

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

PC Connection Technical Analysis

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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 PC Connection volatility. High ATR values indicate high volatility, and low values indicate low volatility.

PC Connection Trend Analysis

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

PC Connection Best Fit Change Line

The following chart estimates an ordinary least squares regression model for PC Connection applied against its price change over selected period. The best fit line has a slop of   0.05  , which may suggest that PC Connection market price will keep on failing further. It has 122 observation points and a regression sum of squares at 97.3, which is the sum of squared deviations for the predicted PC Connection price change compared to its average price change.

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

PC Connection January 16, 2026 Technical Indicators

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

PC Connection January 16, 2026 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 PCC 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 PCC Stock analysis

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