Save Foods Stock Technical Analysis
SVFDDelisted Stock | USD 0.59 0.00 0.00% |
As of the 11th of December 2024, Save Foods has the Coefficient Of Variation of (2,797), variance of 71.88, and Risk Adjusted Performance of (0.02). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Save Foods, as well as the relationship between them. Please validate Save Foods standard deviation, as well as the relationship between the maximum drawdown and kurtosis to decide if Save Foods is priced more or less accurately, providing market reflects its prevalent price of 0.59 per share. As Save Foods is a penny stock we also advise to double-check its jensen alpha numbers.
Save Foods Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Save, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SaveSave |
Save Foods 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, delisted stock market cycles, or different charting patterns.
Save Foods Technical Analysis
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Save Foods Trend Analysis
Use this graph to draw trend lines for Save Foods. You can use it to identify possible trend reversals for Save Foods 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 Save Foods price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Save Foods Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Save Foods applied against its price change over selected period. The best fit line has a slop of 0.0055 , which may suggest that Save Foods market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1.14, which is the sum of squared deviations for the predicted Save Foods price change compared to its average price change.About Save Foods 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 Save Foods 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 Save Foods based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Save Foods price pattern first instead of the macroeconomic environment surrounding Save Foods. By analyzing Save Foods'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 Save Foods'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 Save Foods specific price patterns or momentum indicators. Please read more on our technical analysis page.
Save Foods December 11, 2024 Technical Indicators
Most technical analysis of Save 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 Save from various momentum indicators to cycle indicators. When you analyze Save 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 | (0.02) | |||
Market Risk Adjusted Performance | (0.33) | |||
Mean Deviation | 4.79 | |||
Coefficient Of Variation | (2,797) | |||
Standard Deviation | 8.48 | |||
Variance | 71.88 | |||
Information Ratio | (0.05) | |||
Jensen Alpha | (0.42) | |||
Total Risk Alpha | (1.66) | |||
Treynor Ratio | (0.34) | |||
Maximum Drawdown | 71.7 | |||
Value At Risk | (8.14) | |||
Potential Upside | 7.27 | |||
Skewness | 3.97 | |||
Kurtosis | 25.48 |
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in census. You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Other Consideration for investing in Save Stock
If you are still planning to invest in Save Foods check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Save Foods' history and understand the potential risks before investing.
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