Autohellas (Greece) Technical Analysis

OTOEL Stock  EUR 10.04  0.06  0.59%   
As of the 26th of November, Autohellas shows the Mean Deviation of 1.11, risk adjusted performance of (0.07), and Standard Deviation of 1.45. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Autohellas, as well as the relationship between them.

Autohellas Momentum Analysis

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

Autohellas SA Technical Analysis

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The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 Autohellas SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Autohellas SA Trend Analysis

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

Autohellas Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Autohellas SA applied against its price change over selected period. The best fit line has a slop of   0.01  , which may suggest that Autohellas SA market price will keep on failing further. It has 122 observation points and a regression sum of squares at 5.37, which is the sum of squared deviations for the predicted Autohellas price change compared to its average price change.

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

Autohellas November 26, 2024 Technical Indicators

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

Autohellas November 26, 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 Autohellas 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 Autohellas Stock analysis

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