Orkla ASA (Germany) Technical Analysis
| OKL Stock | EUR 9.95 0.04 0.40% |
As of the 3rd of February, Orkla ASA holds the Coefficient Of Variation of 657.74, semi deviation of 1.09, and Risk Adjusted Performance of 0.1166. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Orkla ASA, as well as the relationship between them. Please check Orkla ASA maximum drawdown, semi variance, and the relationship between the jensen alpha and potential upside to decide if Orkla ASA is priced some-what accurately, providing market reflects its current price of 9.95 per share.
Orkla ASA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Orkla, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OrklaOrkla |
Orkla ASA '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 Orkla ASA's 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 Orkla ASA.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Orkla ASA on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Orkla ASA or generate 0.0% return on investment in Orkla ASA over 90 days. Orkla ASA is related to or competes with DeVry Education, INSURANCE AUST, REVO INSURANCE, MSAD Insurance, G8 EDUCATION, Japan Post, and Adtalem Global. Orkla ASA engages in the branded consumer goods, renewable energy, real estate, and financial investment businesses More
Orkla ASA 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 Orkla ASA's 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 Orkla ASA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.47 | |||
| Information Ratio | 0.1159 | |||
| Maximum Drawdown | 8.28 | |||
| Value At Risk | (2.21) | |||
| Potential Upside | 2.21 |
Orkla ASA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Orkla ASA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Orkla ASA's standard deviation. In reality, there are many statistical measures that can use Orkla ASA historical prices to predict the future Orkla ASA's volatility.| Risk Adjusted Performance | 0.1166 | |||
| Jensen Alpha | 0.2148 | |||
| Total Risk Alpha | 0.1271 | |||
| Sortino Ratio | 0.1157 | |||
| Treynor Ratio | (5.08) |
Orkla ASA February 3, 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 | 0.1166 | |||
| Market Risk Adjusted Performance | (5.07) | |||
| Mean Deviation | 1.1 | |||
| Semi Deviation | 1.09 | |||
| Downside Deviation | 1.47 | |||
| Coefficient Of Variation | 657.74 | |||
| Standard Deviation | 1.47 | |||
| Variance | 2.15 | |||
| Information Ratio | 0.1159 | |||
| Jensen Alpha | 0.2148 | |||
| Total Risk Alpha | 0.1271 | |||
| Sortino Ratio | 0.1157 | |||
| Treynor Ratio | (5.08) | |||
| Maximum Drawdown | 8.28 | |||
| Value At Risk | (2.21) | |||
| Potential Upside | 2.21 | |||
| Downside Variance | 2.16 | |||
| Semi Variance | 1.19 | |||
| Expected Short fall | (1.25) | |||
| Skewness | 0.5806 | |||
| Kurtosis | 2.22 |
Orkla ASA Backtested Returns
Orkla ASA appears to be not too volatile, given 3 months investment horizon. Orkla ASA maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the firm had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Orkla ASA, which you can use to evaluate the volatility of the company. Please evaluate Orkla ASA's Risk Adjusted Performance of 0.1166, coefficient of variation of 657.74, and Semi Deviation of 1.09 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Orkla ASA holds a performance score of 12. The company holds a Beta of -0.0419, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Orkla ASA are expected to decrease at a much lower rate. During the bear market, Orkla ASA is likely to outperform the market. Please check Orkla ASA's jensen alpha, maximum drawdown, semi variance, as well as the relationship between the sortino ratio and potential upside , to make a quick decision on whether Orkla ASA's historical price patterns will revert.
Auto-correlation | 0.57 |
Modest predictability
Orkla ASA has modest predictability. Overlapping area represents the amount of predictability between Orkla ASA time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd of February 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 Orkla ASA price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Orkla ASA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Orkla ASA 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.
Orkla ASA Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Orkla ASA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Orkla ASA 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 Orkla ASA 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 Orkla ASA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Orkla ASA price pattern first instead of the macroeconomic environment surrounding Orkla ASA. By analyzing Orkla ASA'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 Orkla ASA'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 Orkla ASA specific price patterns or momentum indicators. Please read more on our technical analysis page.
Orkla ASA February 3, 2026 Technical Indicators
Most technical analysis of Orkla 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 Orkla from various momentum indicators to cycle indicators. When you analyze Orkla 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 | 0.1166 | |||
| Market Risk Adjusted Performance | (5.07) | |||
| Mean Deviation | 1.1 | |||
| Semi Deviation | 1.09 | |||
| Downside Deviation | 1.47 | |||
| Coefficient Of Variation | 657.74 | |||
| Standard Deviation | 1.47 | |||
| Variance | 2.15 | |||
| Information Ratio | 0.1159 | |||
| Jensen Alpha | 0.2148 | |||
| Total Risk Alpha | 0.1271 | |||
| Sortino Ratio | 0.1157 | |||
| Treynor Ratio | (5.08) | |||
| Maximum Drawdown | 8.28 | |||
| Value At Risk | (2.21) | |||
| Potential Upside | 2.21 | |||
| Downside Variance | 2.16 | |||
| Semi Variance | 1.19 | |||
| Expected Short fall | (1.25) | |||
| Skewness | 0.5806 | |||
| Kurtosis | 2.22 |
Orkla ASA February 3, 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 Orkla 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 | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 9.95 | ||
| Day Typical Price | 9.95 | ||
| Price Action Indicator | (0.02) |
Complementary Tools for Orkla Stock analysis
When running Orkla ASA's price analysis, check to measure Orkla ASA'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 Orkla ASA is operating at the current time. Most of Orkla ASA's value examination focuses on studying past and present price action to predict the probability of Orkla ASA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Orkla ASA's price. Additionally, you may evaluate how the addition of Orkla ASA to your portfolios can decrease your overall portfolio volatility.
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