Ap Moeller Stock Technical Analysis
| AMKAF Stock | USD 2,670 75.83 2.76% |
As of the 5th of March, AP Moeller owns the Market Risk Adjusted Performance of (0.37), coefficient of variation of 547.31, and Standard Deviation of 3.29. AP Moeller technical analysis gives you the methodology to make use of past data patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm AP Moeller jensen alpha, semi variance, and the relationship between the standard deviation and value at risk to decide if AP Moeller is priced fairly, providing market reflects its prevailing price of 2669.84 per share. Given that AP Moeller has jensen alpha of 0.6436, we suggest you to validate AP Moeller's latest market performance to make sure the company can sustain itself sooner or later.
AP Moeller Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as AMKAF, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AMKAFAMKAF |
AP Moeller '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 AP Moeller's pink sheet 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 AP Moeller.
| 12/05/2025 |
| 03/05/2026 |
If you would invest 0.00 in AP Moeller on December 5, 2025 and sell it all today you would earn a total of 0.00 from holding AP Moeller or generate 0.0% return on investment in AP Moeller over 90 days. AP Moeller is related to or competes with Orient Overseas, Deutsche Lufthansa, and Turk Hava. Mller - Mrsk AS operates as an integrated transport and logistics company worldwide More
AP Moeller 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 AP Moeller's pink sheet 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 AP Moeller upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.83 | |||
| Information Ratio | 0.1693 | |||
| Maximum Drawdown | 21.3 | |||
| Value At Risk | (3.18) | |||
| Potential Upside | 5.84 |
AP Moeller Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AP Moeller's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AP Moeller's standard deviation. In reality, there are many statistical measures that can use AP Moeller historical prices to predict the future AP Moeller's volatility.| Risk Adjusted Performance | 0.1451 | |||
| Jensen Alpha | 0.6436 | |||
| Total Risk Alpha | 0.4415 | |||
| Sortino Ratio | 0.1968 | |||
| Treynor Ratio | (0.38) |
AP Moeller March 5, 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 | 0.1451 | |||
| Market Risk Adjusted Performance | (0.37) | |||
| Mean Deviation | 1.98 | |||
| Semi Deviation | 1.32 | |||
| Downside Deviation | 2.83 | |||
| Coefficient Of Variation | 547.31 | |||
| Standard Deviation | 3.29 | |||
| Variance | 10.81 | |||
| Information Ratio | 0.1693 | |||
| Jensen Alpha | 0.6436 | |||
| Total Risk Alpha | 0.4415 | |||
| Sortino Ratio | 0.1968 | |||
| Treynor Ratio | (0.38) | |||
| Maximum Drawdown | 21.3 | |||
| Value At Risk | (3.18) | |||
| Potential Upside | 5.84 | |||
| Downside Variance | 8.0 | |||
| Semi Variance | 1.73 | |||
| Expected Short fall | (3.84) | |||
| Skewness | 2.5 | |||
| Kurtosis | 9.51 |
AP Moeller Backtested Returns
AP Moeller appears to be very steady, given 3 months investment horizon. AP Moeller retains Efficiency (Sharpe Ratio) of 0.19, which signifies that the company had a 0.19 % return per unit of price deviation over the last 3 months. By evaluating AP Moeller's technical indicators, you can evaluate if the expected return of 0.66% is justified by implied risk. Please makes use of AP Moeller's Coefficient Of Variation of 547.31, standard deviation of 3.29, and Market Risk Adjusted Performance of (0.37) to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, AP Moeller holds a performance score of 15. The firm owns a Beta (Systematic Risk) of -1.55, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning AP Moeller are expected to decrease by larger amounts. On the other hand, during market turmoil, AP Moeller is expected to outperform it. Please check AP Moeller's sortino ratio, semi variance, and the relationship between the information ratio and value at risk , to make a quick decision on whether AP Moeller's current price history will revert.
Auto-correlation | 0.30 |
Below average predictability
AP Moeller has below average predictability. Overlapping area represents the amount of predictability between AP Moeller time series from 5th of December 2025 to 19th of January 2026 and 19th of January 2026 to 5th of March 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 AP Moeller price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current AP Moeller price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 10.1 K |
AP Moeller technical pink sheet 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, pink sheet market cycles, or different charting patterns.
AP Moeller Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for AP Moeller across different markets.
About AP Moeller 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 AP Moeller 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 AP Moeller based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on AP Moeller price pattern first instead of the macroeconomic environment surrounding AP Moeller. By analyzing AP Moeller'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 AP Moeller'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 AP Moeller specific price patterns or momentum indicators. Please read more on our technical analysis page.
AP Moeller March 5, 2026 Technical Indicators
Most technical analysis of AMKAF 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 AMKAF from various momentum indicators to cycle indicators. When you analyze AMKAF 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 | 0.1451 | |||
| Market Risk Adjusted Performance | (0.37) | |||
| Mean Deviation | 1.98 | |||
| Semi Deviation | 1.32 | |||
| Downside Deviation | 2.83 | |||
| Coefficient Of Variation | 547.31 | |||
| Standard Deviation | 3.29 | |||
| Variance | 10.81 | |||
| Information Ratio | 0.1693 | |||
| Jensen Alpha | 0.6436 | |||
| Total Risk Alpha | 0.4415 | |||
| Sortino Ratio | 0.1968 | |||
| Treynor Ratio | (0.38) | |||
| Maximum Drawdown | 21.3 | |||
| Value At Risk | (3.18) | |||
| Potential Upside | 5.84 | |||
| Downside Variance | 8.0 | |||
| Semi Variance | 1.73 | |||
| Expected Short fall | (3.84) | |||
| Skewness | 2.5 | |||
| Kurtosis | 9.51 |
AP Moeller March 5, 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 AMKAF 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 | 0.97 | ||
| Day Median Price | 2,670 | ||
| Day Typical Price | 2,670 | ||
| Price Action Indicator | (37.91) |
Complementary Tools for AMKAF Pink Sheet analysis
When running AP Moeller's price analysis, check to measure AP Moeller'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 AP Moeller is operating at the current time. Most of AP Moeller's value examination focuses on studying past and present price action to predict the probability of AP Moeller's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AP Moeller's price. Additionally, you may evaluate how the addition of AP Moeller to your portfolios can decrease your overall portfolio volatility.
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