Real Good Food Stock Technical Analysis
RGF Stock | USD 0.02 0.12 83.93% |
As of the 31st of January, Real Good holds the Risk Adjusted Performance of 0.0579, coefficient of variation of 1738.7, and Semi Deviation of 20.64. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Real Good, as well as the relationship between them. Please check Real Good Food standard deviation and the relationship between the treynor ratio and kurtosis to decide if Real Good Food is priced some-what accurately, providing market reflects its current price of 0.022500001 per share. As Real Good Food appears to be a penny stock we also advise to check out its total risk alpha numbers.
Real 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 Real, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RealReal |
Real Good Analyst Consensus
Target Price | Advice | # of Analysts | |
6.67 | Strong Buy | 1 | Odds |
Most Real analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Real stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Real Good Food, talking to its executives and customers, or listening to Real conference calls.
Real Good 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.
Real Good Food Technical Analysis
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Real Good Food Trend Analysis
Use this graph to draw trend lines for Real Good Food. You can use it to identify possible trend reversals for Real 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 Real Good price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Real Good Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Real Good Food applied against its price change over selected period. The best fit line has a slop of 0.05 , which may imply that the returns on investment in Real Good Food will continue to fail. It has 122 observation points and a regression sum of squares at 90.17, which is the sum of squared deviations for the predicted Real Good price change compared to its average price change.About Real 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 Real Good Food 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 Real Good Food based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Real Good Food price pattern first instead of the macroeconomic environment surrounding Real Good Food. By analyzing Real 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 Real 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 Real Good specific price patterns or momentum indicators. Please read more on our technical analysis page.
2021 | 2022 | 2024 | 2025 (projected) | Payables Turnover | 4.85 | 5.48 | 6.3 | 8.28 | Days Of Inventory On Hand | 82.22 | 112.28 | 101.05 | 75.63 |
Real Good January 31, 2025 Technical Indicators
Most technical analysis of Real 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 Real from various momentum indicators to cycle indicators. When you analyze Real 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 | 0.0579 | |||
Market Risk Adjusted Performance | 2.95 | |||
Mean Deviation | 19.02 | |||
Semi Deviation | 20.64 | |||
Downside Deviation | 25.37 | |||
Coefficient Of Variation | 1738.7 | |||
Standard Deviation | 67.9 | |||
Variance | 4611.05 | |||
Information Ratio | 0.056 | |||
Jensen Alpha | 3.78 | |||
Total Risk Alpha | (3.41) | |||
Sortino Ratio | 0.15 | |||
Treynor Ratio | 2.94 | |||
Maximum Drawdown | 585.0 | |||
Value At Risk | (59.68) | |||
Potential Upside | 19.48 | |||
Downside Variance | 643.86 | |||
Semi Variance | 425.92 | |||
Expected Short fall | (25.03) | |||
Skewness | 7.09 | |||
Kurtosis | 55.47 |
Complementary Tools for Real Stock analysis
When running Real Good's price analysis, check to measure Real 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 Real Good is operating at the current time. Most of Real Good's value examination focuses on studying past and present price action to predict the probability of Real 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 Real Good's price. Additionally, you may evaluate how the addition of Real Good to your portfolios can decrease your overall portfolio volatility.
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