C F (Germany) Technical Analysis

CFF Stock  EUR 68.00  1.50  2.16%   
As of the 31st of January, C F shows the mean deviation of 2.02, and Coefficient Of Variation of 716.36. C F FINL 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 entity's future prices. Please confirm C F FINL coefficient of variation, variance, and the relationship between the downside deviation and standard deviation to decide if C F FINL is priced more or less accurately, providing market reflects its regular price of 68.0 per share.

C F Momentum Analysis

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

C F FINL Technical Analysis

Indicator
Time Period
Execute Indicator
The output start index for this execution was fourty-five with a total number of output elements of sixteen. 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 C F FINL volatility. High ATR values indicate high volatility, and low values indicate low volatility.

C F FINL Trend Analysis

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

C F Best Fit Change Line

The following chart estimates an ordinary least squares regression model for C F FINL applied against its price change over selected period. The best fit line has a slop of   0.08  , which means C F FINL will continue generating value for investors. It has 122 observation points and a regression sum of squares at 220.84, which is the sum of squared deviations for the predicted C F price change compared to its average price change.

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

C F January 31, 2025 Technical Indicators

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

C F January 31, 2025 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 CFF 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 CFF Stock analysis

When running C F's price analysis, check to measure C F'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 C F is operating at the current time. Most of C F's value examination focuses on studying past and present price action to predict the probability of C F's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move C F's price. Additionally, you may evaluate how the addition of C F to your portfolios can decrease your overall portfolio volatility.
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Commodity Directory
Find actively traded commodities issued by global exchanges
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Content Syndication
Quickly integrate customizable finance content to your own investment portal
Fundamental Analysis
View fundamental data based on most recent published financial statements
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios