SSC Technologies (Brazil) Technical Analysis
| S1SN34 Stock | BRL 66.92 0.00 0.00% |
As of the 6th of January, SSC Technologies owns the standard deviation of 0.8401, and Risk Adjusted Performance of (0.07). In relation to fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of SSC Technologies Hol, as well as the relationship between them.
SSC Technologies Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SSC, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SSCSSC |
SSC Technologies 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.
SSC Technologies Hol 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 SSC Technologies Hol volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SSC Technologies Hol Trend Analysis
Use this graph to draw trend lines for SSC Technologies Holdings,. You can use it to identify possible trend reversals for SSC Technologies 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 SSC Technologies price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SSC Technologies Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SSC Technologies Holdings, applied against its price change over selected period. The best fit line has a slop of 0.08 , which may suggest that SSC Technologies Holdings, market price will keep on failing further. It has 122 observation points and a regression sum of squares at 214.71, which is the sum of squared deviations for the predicted SSC Technologies price change compared to its average price change.About SSC Technologies 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 SSC Technologies Holdings, 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 SSC Technologies Holdings, based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on SSC Technologies Hol price pattern first instead of the macroeconomic environment surrounding SSC Technologies Hol. By analyzing SSC Technologies'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 SSC Technologies'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 SSC Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
SSC Technologies January 6, 2025 Technical Indicators
Most technical analysis of SSC 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 SSC from various momentum indicators to cycle indicators. When you analyze SSC 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.
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| 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 | (0.58) | |||
| Mean Deviation | 0.2441 | |||
| Coefficient Of Variation | (1,111) | |||
| Standard Deviation | 0.8401 | |||
| Variance | 0.7058 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.1) | |||
| Treynor Ratio | (0.59) | |||
| Maximum Drawdown | 8.89 | |||
| Value At Risk | (0.29) | |||
| Skewness | (4.19) | |||
| Kurtosis | 36.38 |
Complementary Tools for SSC Stock analysis
When running SSC Technologies' price analysis, check to measure SSC Technologies' 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 SSC Technologies is operating at the current time. Most of SSC Technologies' value examination focuses on studying past and present price action to predict the probability of SSC Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SSC Technologies' price. Additionally, you may evaluate how the addition of SSC Technologies to your portfolios can decrease your overall portfolio volatility.
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