Marks And Spencer Stock Technical Analysis
| MAKSF Stock | USD 3.80 0.25 6.17% |
As of the 18th of January 2025, Marks secures the Mean Deviation of 1.78, risk adjusted performance of (0.07), and Standard Deviation of 3.37. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Marks and Spencer, as well as the relationship between them. Strictly speaking, you can use this information to find out if the firm will indeed mirror its model of past prices, or the prices will eventually revert. We are able to interpolate and collect thirteen technical drivers for Marks, which can be compared to its peers in the industry. Please verify Marks and Spencer market risk adjusted performance, variance, as well as the relationship between the Variance and value at risk to decide if Marks and Spencer is priced some-what accurately, providing market reflects its recent price of 3.8 per share. Given that Marks and Spencer has information ratio of (0.11), we recommend you to check Marks's last-minute market performance to make sure the company can sustain itself at a future point.
Marks Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Marks, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MarksMarks |
Marks technical otc 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, otc market cycles, or different charting patterns.
Marks and Spencer Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Marks and Spencer volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Marks and Spencer Trend Analysis
Use this graph to draw trend lines for Marks and Spencer. You can use it to identify possible trend reversals for Marks 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 Marks price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Marks Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Marks and Spencer applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Marks and Spencer market price will keep on failing further. It has 122 observation points and a regression sum of squares at 4.01, which is the sum of squared deviations for the predicted Marks price change compared to its average price change.About Marks 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 Marks and Spencer 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 Marks and Spencer based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Marks and Spencer price pattern first instead of the macroeconomic environment surrounding Marks and Spencer. By analyzing Marks'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 Marks'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 Marks specific price patterns or momentum indicators. Please read more on our technical analysis page.
Marks January 18, 2025 Technical Indicators
Most technical analysis of Marks 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 Marks from various momentum indicators to cycle indicators. When you analyze Marks 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 | (0.07) | |||
| Market Risk Adjusted Performance | (4.39) | |||
| Mean Deviation | 1.78 | |||
| Coefficient Of Variation | (1,032) | |||
| Standard Deviation | 3.37 | |||
| Variance | 11.35 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (4.40) | |||
| Maximum Drawdown | 17.35 | |||
| Value At Risk | (8.25) | |||
| Potential Upside | 5.66 | |||
| Skewness | (1.47) | |||
| Kurtosis | 3.61 |
Complementary Tools for Marks OTC Stock analysis
When running Marks' price analysis, check to measure Marks' 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 Marks is operating at the current time. Most of Marks' value examination focuses on studying past and present price action to predict the probability of Marks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Marks' price. Additionally, you may evaluate how the addition of Marks to your portfolios can decrease your overall portfolio volatility.
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