Cult Food Science Stock Technical Analysis
| CULTF Stock | USD 0.04 0 9.61% |
As of the 29th of November, Cult Food shows the Standard Deviation of 9.8, mean deviation of 7.23, and Risk Adjusted Performance of (0.05). Cult Food Science technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to interpolate and analyze data for thirteen technical drivers for Cult Food Science, which can be compared to its peers. Please confirm Cult Food Science standard deviation and value at risk to decide if Cult Food Science is priced correctly, providing market reflects its regular price of 0.0365 per share. As Cult Food Science appears to be a penny stock we also recommend to validate its jensen alpha numbers.
Cult Food Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Cult, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CultCult |
Cult Food 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.
Cult Food Science Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Cult Food Science volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Cult Food Science Trend Analysis
Use this graph to draw trend lines for Cult Food Science. You can use it to identify possible trend reversals for Cult Food 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 Cult Food price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Cult Food Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Cult Food Science applied against its price change over selected period. The best fit line has a slop of 0.0004 , which may suggest that Cult Food Science market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted Cult Food price change compared to its average price change.About Cult Food 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 Cult Food Science 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 Cult Food Science based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Cult Food Science price pattern first instead of the macroeconomic environment surrounding Cult Food Science. By analyzing Cult Food'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 Cult Food'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 Cult Food specific price patterns or momentum indicators. Please read more on our technical analysis page.
Cult Food November 29, 2024 Technical Indicators
Most technical analysis of Cult 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 Cult from various momentum indicators to cycle indicators. When you analyze Cult 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.05) | |||
| Market Risk Adjusted Performance | (1.35) | |||
| Mean Deviation | 7.23 | |||
| Coefficient Of Variation | (1,213) | |||
| Standard Deviation | 9.8 | |||
| Variance | 96.05 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.89) | |||
| Total Risk Alpha | (2.29) | |||
| Treynor Ratio | (1.36) | |||
| Maximum Drawdown | 48.54 | |||
| Value At Risk | (16.55) | |||
| Potential Upside | 12.85 | |||
| Skewness | 0.2349 | |||
| Kurtosis | 0.9513 |
Complementary Tools for Cult OTC Stock analysis
When running Cult Food's price analysis, check to measure Cult Food'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 Cult Food is operating at the current time. Most of Cult Food's value examination focuses on studying past and present price action to predict the probability of Cult Food's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cult Food's price. Additionally, you may evaluate how the addition of Cult Food to your portfolios can decrease your overall portfolio volatility.
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