Sow Good Common Stock Technical Analysis
| SOWG Stock | USD 2.23 0.12 5.11% |
As of the 29th of December, Sow Good has the Coefficient Of Variation of (418.23), risk adjusted performance of (0.18), and Variance of 61.46. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sow Good Common, as well as the relationship between them. In other words, you can use this information to find out if the company will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We are able to interpolate and break down thirteen technical drivers for Sow Good Common, which can be compared to its competition. Please validate Sow Good Common risk adjusted performance, variance, as well as the relationship between the Variance and potential upside to decide if Sow Good is priced more or less accurately, providing market reflects its prevalent price of 2.23 per share. Please also confirm Sow Good Common jensen alpha, which is currently at (1.94) to double-check the company can sustain itself at a future point.
Sow Good Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sow, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SowSow |
Sow Good technical otc 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, otc market cycles, or different charting patterns.
Sow Good Common 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 Sow Good Common volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sow Good Common Trend Analysis
Use this graph to draw trend lines for Sow Good Common. You can use it to identify possible trend reversals for Sow Good 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 Sow Good price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sow Good Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sow Good Common applied against its price change over selected period. The best fit line has a slop of 0.19 , which may suggest that Sow Good Common market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1335.22, which is the sum of squared deviations for the predicted Sow Good price change compared to its average price change.About Sow Good 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 Sow Good Common 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 Sow Good Common based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Sow Good Common price pattern first instead of the macroeconomic environment surrounding Sow Good Common. By analyzing Sow Good'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 Sow Good'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 Sow Good specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sow Good December 29, 2024 Technical Indicators
Most technical analysis of Sow 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 Sow from various momentum indicators to cycle indicators. When you analyze Sow 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 | (0.18) | |||
| Market Risk Adjusted Performance | (0.80) | |||
| Mean Deviation | 3.64 | |||
| Coefficient Of Variation | (418.23) | |||
| Standard Deviation | 7.84 | |||
| Variance | 61.46 | |||
| Information Ratio | (0.24) | |||
| Jensen Alpha | (1.94) | |||
| Total Risk Alpha | (2.10) | |||
| Treynor Ratio | (0.81) | |||
| Maximum Drawdown | 66.78 | |||
| Value At Risk | (7.89) | |||
| Potential Upside | 6.91 | |||
| Skewness | (5.31) | |||
| Kurtosis | 37.78 |
Complementary Tools for Sow OTC Stock analysis
When running Sow Good's price analysis, check to measure Sow Good'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 Sow Good is operating at the current time. Most of Sow Good's value examination focuses on studying past and present price action to predict the probability of Sow Good's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sow Good's price. Additionally, you may evaluate how the addition of Sow Good to your portfolios can decrease your overall portfolio volatility.
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