Cohen Dev (Israel) Technical Analysis
| CDEV Stock | ILS 19,440 160.00 0.83% |
As of the 24th of January, Cohen Dev shows the Standard Deviation of 1.94, mean deviation of 1.4, and Risk Adjusted Performance of 0.0057. Cohen Dev technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Cohen Dev Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Cohen, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CohenCohen |
Cohen Dev '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 Cohen Dev'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 Cohen Dev.
| 10/26/2025 |
| 01/24/2026 |
If you would invest 0.00 in Cohen Dev on October 26, 2025 and sell it all today you would earn a total of 0.00 from holding Cohen Dev or generate 0.0% return on investment in Cohen Dev over 90 days. Cohen Dev is related to or competes with Ashot Ashkelon, Amos Luzon, FMS Enterprises, Plasson Indus, EN Shoham, Orbit Technologies, and TAT Technologies. Cohen Development Industrial Buildings Ltd., through its subsidiary, explores, develops, and produces oil and natural ga... More
Cohen Dev 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 Cohen Dev'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 Cohen Dev upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 10.21 | |||
| Value At Risk | (2.50) | |||
| Potential Upside | 3.18 |
Cohen Dev Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cohen Dev's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cohen Dev's standard deviation. In reality, there are many statistical measures that can use Cohen Dev historical prices to predict the future Cohen Dev's volatility.| Risk Adjusted Performance | 0.0057 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.06) |
Cohen Dev January 24, 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 | 0.0057 | |||
| Market Risk Adjusted Performance | (0.05) | |||
| Mean Deviation | 1.4 | |||
| Coefficient Of Variation | (135,253) | |||
| Standard Deviation | 1.94 | |||
| Variance | 3.75 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.06) | |||
| Maximum Drawdown | 10.21 | |||
| Value At Risk | (2.50) | |||
| Potential Upside | 3.18 | |||
| Skewness | 1.06 | |||
| Kurtosis | 2.61 |
Cohen Dev Backtested Returns
Cohen Dev secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that the company had a close to zero % return per unit of risk over the last 3 months. Cohen Dev exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cohen Dev's Mean Deviation of 1.4, risk adjusted performance of 0.0057, and Standard Deviation of 1.94 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.18, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Cohen Dev's returns are expected to increase less than the market. However, during the bear market, the loss of holding Cohen Dev is expected to be smaller as well. At this point, Cohen Dev has a negative expected return of -0.0014%. Please make sure to confirm Cohen Dev's jensen alpha, treynor ratio, and the relationship between the standard deviation and total risk alpha , to decide if Cohen Dev performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.62 |
Very good reverse predictability
Cohen Dev has very good reverse predictability. Overlapping area represents the amount of predictability between Cohen Dev time series from 26th of October 2025 to 10th of December 2025 and 10th of December 2025 to 24th 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 Cohen Dev price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current Cohen Dev price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 308.4 K |
Cohen Dev 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.
Cohen Dev Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Cohen Dev volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Cohen Dev 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 Cohen Dev 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 Cohen Dev based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Cohen Dev price pattern first instead of the macroeconomic environment surrounding Cohen Dev. By analyzing Cohen Dev'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 Cohen Dev'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 Cohen Dev specific price patterns or momentum indicators. Please read more on our technical analysis page.
Cohen Dev January 24, 2026 Technical Indicators
Most technical analysis of Cohen 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 Cohen from various momentum indicators to cycle indicators. When you analyze Cohen 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 | 0.0057 | |||
| Market Risk Adjusted Performance | (0.05) | |||
| Mean Deviation | 1.4 | |||
| Coefficient Of Variation | (135,253) | |||
| Standard Deviation | 1.94 | |||
| Variance | 3.75 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.06) | |||
| Maximum Drawdown | 10.21 | |||
| Value At Risk | (2.50) | |||
| Potential Upside | 3.18 | |||
| Skewness | 1.06 | |||
| Kurtosis | 2.61 |
Cohen Dev January 24, 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 Cohen 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 | 0.02 | ||
| Daily Balance Of Power | 0.33 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 19,445 | ||
| Day Typical Price | 19,443 | ||
| Price Action Indicator | 75.00 | ||
| Market Facilitation Index | 490.00 |
Complementary Tools for Cohen Stock analysis
When running Cohen Dev's price analysis, check to measure Cohen Dev'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 Cohen Dev is operating at the current time. Most of Cohen Dev's value examination focuses on studying past and present price action to predict the probability of Cohen Dev's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cohen Dev's price. Additionally, you may evaluate how the addition of Cohen Dev to your portfolios can decrease your overall portfolio volatility.
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