MOL Nyrt (Hungary) Technical Analysis
MOL Stock | 2,880 66.00 2.24% |
As of the 2nd of March, MOL Nyrt secures the risk adjusted performance of 0.1115, and Mean Deviation of 0.8028. In respect to fundamental indicators, the technical analysis model lets you check practical technical drivers of MOL Nyrt, as well as the relationship between them. Please verify MOL Nyrt standard deviation, information ratio, treynor ratio, as well as the relationship between the variance and jensen alpha to decide if MOL Nyrt is priced more or less accurately, providing market reflects its recent price of 2880.0 per share.
MOL Nyrt Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as MOL, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MOLMOL |
MOL Nyrt 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.
MOL Nyrt Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 MOL Nyrt volatility. High ATR values indicate high volatility, and low values indicate low volatility.
MOL Nyrt Trend Analysis
Use this graph to draw trend lines for MOL Nyrt. You can use it to identify possible trend reversals for MOL Nyrt 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 MOL Nyrt price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.MOL Nyrt Best Fit Change Line
The following chart estimates an ordinary least squares regression model for MOL Nyrt applied against its price change over selected period. The best fit line has a slop of 5.82 , which means MOL Nyrt will continue producing value for investors. It has 122 observation points and a regression sum of squares at 1280537.4, which is the sum of squared deviations for the predicted MOL Nyrt price change compared to its average price change.About MOL Nyrt 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 MOL Nyrt 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 MOL Nyrt based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on MOL Nyrt price pattern first instead of the macroeconomic environment surrounding MOL Nyrt. By analyzing MOL Nyrt'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 MOL Nyrt'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 MOL Nyrt specific price patterns or momentum indicators. Please read more on our technical analysis page.
MOL Nyrt March 2, 2025 Technical Indicators
Most technical analysis of MOL 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 MOL from various momentum indicators to cycle indicators. When you analyze MOL 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 | 0.1115 | |||
Market Risk Adjusted Performance | 2.58 | |||
Mean Deviation | 0.8028 | |||
Semi Deviation | 1.0 | |||
Downside Deviation | 1.26 | |||
Coefficient Of Variation | 678.49 | |||
Standard Deviation | 1.05 | |||
Variance | 1.1 | |||
Information Ratio | 0.1598 | |||
Jensen Alpha | 0.1456 | |||
Total Risk Alpha | 0.177 | |||
Sortino Ratio | 0.1323 | |||
Treynor Ratio | 2.57 | |||
Maximum Drawdown | 4.97 | |||
Value At Risk | (1.60) | |||
Potential Upside | 1.71 | |||
Downside Variance | 1.6 | |||
Semi Variance | 1.01 | |||
Expected Short fall | (0.82) | |||
Skewness | (0.55) | |||
Kurtosis | 0.3393 |
Complementary Tools for MOL Stock analysis
When running MOL Nyrt's price analysis, check to measure MOL Nyrt'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 MOL Nyrt is operating at the current time. Most of MOL Nyrt's value examination focuses on studying past and present price action to predict the probability of MOL Nyrt's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MOL Nyrt's price. Additionally, you may evaluate how the addition of MOL Nyrt to your portfolios can decrease your overall portfolio volatility.
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Transaction History View history of all your transactions and understand their impact on performance | |
Content Syndication Quickly integrate customizable finance content to your own investment portal |