E M (Israel) Technical Analysis
| EMCO Stock | ILS 900.90 14.10 1.54% |
As of the 29th of January, E M shows the Semi Deviation of 1.59, mean deviation of 1.32, and Downside Deviation of 1.67. E M Computing technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
E M Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as EMCO, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EMCOEMCO |
E M '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 E M'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 E M.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in E M on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding E M Computing or generate 0.0% return on investment in E M over 90 days. E M is related to or competes with Abra Information, C Mer, C I, Icon, Unitronics, Maytronics, and Accel Solutions. E M Computing Ltd. provides data-center, cloud, and information technology solutions in Israel More
E M 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 E M'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 E M Computing upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.67 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 7.87 | |||
| Value At Risk | (2.51) | |||
| Potential Upside | 3.02 |
E M Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for E M's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as E M's standard deviation. In reality, there are many statistical measures that can use E M historical prices to predict the future E M's volatility.| Risk Adjusted Performance | 0.0113 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0054 |
E M January 29, 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 | 0.0113 | |||
| Market Risk Adjusted Performance | 0.0154 | |||
| Mean Deviation | 1.32 | |||
| Semi Deviation | 1.59 | |||
| Downside Deviation | 1.67 | |||
| Coefficient Of Variation | 13271.64 | |||
| Standard Deviation | 1.73 | |||
| Variance | 2.99 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0054 | |||
| Maximum Drawdown | 7.87 | |||
| Value At Risk | (2.51) | |||
| Potential Upside | 3.02 | |||
| Downside Variance | 2.78 | |||
| Semi Variance | 2.53 | |||
| Expected Short fall | (1.37) | |||
| Skewness | 0.4531 | |||
| Kurtosis | 0.8238 |
E M Computing Backtested Returns
E M Computing secures Sharpe Ratio (or Efficiency) of -0.0308, which denotes the company had a -0.0308 % return per unit of risk over the last 3 months. E M Computing exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm E M's Mean Deviation of 1.32, downside deviation of 1.67, and Semi Deviation of 1.59 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.55, which means possible diversification benefits within a given portfolio. As returns on the market increase, E M's returns are expected to increase less than the market. However, during the bear market, the loss of holding E M is expected to be smaller as well. At this point, E M Computing has a negative expected return of -0.053%. Please make sure to confirm E M's total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to decide if E M Computing performance from the past will be repeated sooner or later.
Auto-correlation | -0.07 |
Very weak reverse predictability
E M Computing has very weak reverse predictability. Overlapping area represents the amount of predictability between E M time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th 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 E M Computing price movement. The serial correlation of -0.07 indicates that barely 7.0% of current E M price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 397.38 |
E M 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.
E M Computing 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 E M Computing volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About E M 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 E M Computing 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 E M Computing based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on E M Computing price pattern first instead of the macroeconomic environment surrounding E M Computing. By analyzing E M'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 E M'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 E M specific price patterns or momentum indicators. Please read more on our technical analysis page.
E M January 29, 2026 Technical Indicators
Most technical analysis of EMCO 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 EMCO from various momentum indicators to cycle indicators. When you analyze EMCO 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 | 0.0113 | |||
| Market Risk Adjusted Performance | 0.0154 | |||
| Mean Deviation | 1.32 | |||
| Semi Deviation | 1.59 | |||
| Downside Deviation | 1.67 | |||
| Coefficient Of Variation | 13271.64 | |||
| Standard Deviation | 1.73 | |||
| Variance | 2.99 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0054 | |||
| Maximum Drawdown | 7.87 | |||
| Value At Risk | (2.51) | |||
| Potential Upside | 3.02 | |||
| Downside Variance | 2.78 | |||
| Semi Variance | 2.53 | |||
| Expected Short fall | (1.37) | |||
| Skewness | 0.4531 | |||
| Kurtosis | 0.8238 |
E M January 29, 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 EMCO 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 | 411.08 | ||
| Daily Balance Of Power | (0.48) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 914.80 | ||
| Day Typical Price | 910.17 | ||
| Price Action Indicator | (20.95) | ||
| Market Facilitation Index | 0 |
Complementary Tools for EMCO Stock analysis
When running E M's price analysis, check to measure E M'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 E M is operating at the current time. Most of E M's value examination focuses on studying past and present price action to predict the probability of E M's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move E M's price. Additionally, you may evaluate how the addition of E M to your portfolios can decrease your overall portfolio volatility.
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