Autohellas (Greece) Technical Analysis
| OTOEL Stock | EUR 12.86 0.04 0.31% |
As of the 24th of January, Autohellas shows the Mean Deviation of 1.07, downside deviation of 1.4, and Risk Adjusted Performance of 0.1047. 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 AutohellasAutohellas |
Autohellas 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Autohellas' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Autohellas.
| 10/26/2025 |
| 01/24/2026 |
If you would invest 0.00 in Autohellas on October 26, 2025 and sell it all today you would earn a total of 0.00 from holding Autohellas SA or generate 0.0% return on investment in Autohellas over 90 days. Autohellas is related to or competes with Hellenic Telecommunicatio, Elvalhalcor Hellenic, Interlife General, Profile Systems, Lampsa Hellenic, and Bank of Greece. Autohellas S.A. provides vehicle renting and leasing services under the Hertz brand More
Autohellas Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Autohellas' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Autohellas SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.4 | |||
| Information Ratio | 0.0858 | |||
| Maximum Drawdown | 8.76 | |||
| Value At Risk | (2.17) | |||
| Potential Upside | 2.22 |
Autohellas Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Autohellas' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Autohellas' standard deviation. In reality, there are many statistical measures that can use Autohellas historical prices to predict the future Autohellas' volatility.| Risk Adjusted Performance | 0.1047 | |||
| Jensen Alpha | 0.1949 | |||
| Total Risk Alpha | 0.0565 | |||
| Sortino Ratio | 0.0962 | |||
| Treynor Ratio | 1.71 |
Autohellas January 24, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1047 | |||
| Market Risk Adjusted Performance | 1.72 | |||
| Mean Deviation | 1.07 | |||
| Semi Deviation | 1.08 | |||
| Downside Deviation | 1.4 | |||
| Coefficient Of Variation | 736.9 | |||
| Standard Deviation | 1.57 | |||
| Variance | 2.46 | |||
| Information Ratio | 0.0858 | |||
| Jensen Alpha | 0.1949 | |||
| Total Risk Alpha | 0.0565 | |||
| Sortino Ratio | 0.0962 | |||
| Treynor Ratio | 1.71 | |||
| Maximum Drawdown | 8.76 | |||
| Value At Risk | (2.17) | |||
| Potential Upside | 2.22 | |||
| Downside Variance | 1.96 | |||
| Semi Variance | 1.17 | |||
| Expected Short fall | (1.25) | |||
| Skewness | 1.29 | |||
| Kurtosis | 4.5 |
Autohellas SA Backtested Returns
Autohellas appears to be not too volatile, given 3 months investment horizon. Autohellas SA secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the company had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Autohellas SA, which you can use to evaluate the volatility of the firm. Please makes use of Autohellas' Mean Deviation of 1.07, risk adjusted performance of 0.1047, and Downside Deviation of 1.4 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Autohellas holds a performance score of 10. The firm shows a Beta (market volatility) of 0.12, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Autohellas' returns are expected to increase less than the market. However, during the bear market, the loss of holding Autohellas is expected to be smaller as well. Please check Autohellas' potential upside, as well as the relationship between the kurtosis and day typical price , to make a quick decision on whether Autohellas' price patterns will revert.
Auto-correlation | 0.31 |
Below average predictability
Autohellas SA has below average predictability. Overlapping area represents the amount of predictability between Autohellas time series from 26th of October 2025 to 10th of December 2025 and 10th of December 2025 to 24th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Autohellas SA price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current Autohellas price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
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.
Autohellas SA Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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.
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 January 24, 2026 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1047 | |||
| Market Risk Adjusted Performance | 1.72 | |||
| Mean Deviation | 1.07 | |||
| Semi Deviation | 1.08 | |||
| Downside Deviation | 1.4 | |||
| Coefficient Of Variation | 736.9 | |||
| Standard Deviation | 1.57 | |||
| Variance | 2.46 | |||
| Information Ratio | 0.0858 | |||
| Jensen Alpha | 0.1949 | |||
| Total Risk Alpha | 0.0565 | |||
| Sortino Ratio | 0.0962 | |||
| Treynor Ratio | 1.71 | |||
| Maximum Drawdown | 8.76 | |||
| Value At Risk | (2.17) | |||
| Potential Upside | 2.22 | |||
| Downside Variance | 1.96 | |||
| Semi Variance | 1.17 | |||
| Expected Short fall | (1.25) | |||
| Skewness | 1.29 | |||
| Kurtosis | 4.5 |
Autohellas January 24, 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 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.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | 0.22 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 12.89 | ||
| Day Typical Price | 12.88 | ||
| Price Action Indicator | (0.01) | ||
| Market Facilitation Index | 0.18 |
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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