Scodix (Israel) Technical Analysis
| SCDX Stock | 204.60 9.60 4.92% |
Scodix Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Scodix, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ScodixScodix |
Scodix '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 Scodix'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 Scodix.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in Scodix on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Scodix or generate 0.0% return on investment in Scodix over 90 days.
Scodix 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 Scodix'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 Scodix upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 10.33 | |||
| Value At Risk | (4.80) | |||
| Potential Upside | 4.21 |
Scodix Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scodix's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scodix's standard deviation. In reality, there are many statistical measures that can use Scodix historical prices to predict the future Scodix's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.40) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | 1.6 |
Scodix February 12, 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 | (0.13) | |||
| Market Risk Adjusted Performance | 1.61 | |||
| Mean Deviation | 1.69 | |||
| Coefficient Of Variation | (580.37) | |||
| Standard Deviation | 2.36 | |||
| Variance | 5.58 | |||
| Information Ratio | (0.21) | |||
| Jensen Alpha | (0.40) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | 1.6 | |||
| Maximum Drawdown | 10.33 | |||
| Value At Risk | (4.80) | |||
| Potential Upside | 4.21 | |||
| Skewness | 0.0681 | |||
| Kurtosis | 0.7607 |
Scodix Backtested Returns
Scodix owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.17, which indicates the firm had a -0.17 % return per unit of risk over the last 3 months. Scodix exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Scodix's Coefficient Of Variation of (580.37), variance of 5.58, and Risk Adjusted Performance of (0.13) to confirm the risk estimate we provide. The entity has a beta of -0.26, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Scodix are expected to decrease at a much lower rate. During the bear market, Scodix is likely to outperform the market. At this point, Scodix has a negative expected return of -0.41%. Please make sure to validate Scodix's maximum drawdown, potential upside, kurtosis, as well as the relationship between the value at risk and skewness , to decide if Scodix performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.16 |
Insignificant reverse predictability
Scodix has insignificant reverse predictability. Overlapping area represents the amount of predictability between Scodix time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th of February 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 Scodix price movement. The serial correlation of -0.16 indicates that over 16.0% of current Scodix price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 76.35 |
Scodix 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.
Scodix Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Scodix across different markets.
Scodix February 12, 2026 Technical Indicators
Most technical analysis of Scodix 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 Scodix from various momentum indicators to cycle indicators. When you analyze Scodix 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 | (0.13) | |||
| Market Risk Adjusted Performance | 1.61 | |||
| Mean Deviation | 1.69 | |||
| Coefficient Of Variation | (580.37) | |||
| Standard Deviation | 2.36 | |||
| Variance | 5.58 | |||
| Information Ratio | (0.21) | |||
| Jensen Alpha | (0.40) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | 1.6 | |||
| Maximum Drawdown | 10.33 | |||
| Value At Risk | (4.80) | |||
| Potential Upside | 4.21 | |||
| Skewness | 0.0681 | |||
| Kurtosis | 0.7607 |
Scodix February 12, 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 Scodix 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 | 2,570 | ||
| Daily Balance Of Power | 0.91 | ||
| Rate Of Daily Change | 1.05 | ||
| Day Median Price | 200.25 | ||
| Day Typical Price | 201.70 | ||
| Price Action Indicator | 9.15 | ||
| Market Facilitation Index | 0.0002 |
Complementary Tools for Scodix Stock analysis
When running Scodix's price analysis, check to measure Scodix'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 Scodix is operating at the current time. Most of Scodix's value examination focuses on studying past and present price action to predict the probability of Scodix's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Scodix's price. Additionally, you may evaluate how the addition of Scodix to your portfolios can decrease your overall portfolio volatility.
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