Fobi Ai Stock Technical Analysis
| FOBI Stock | 0.04 0.00 0.00% |
As of the 15th of December 2024, Fobi AI shows the Mean Deviation of 2.38, coefficient of variation of (1,324), and Standard Deviation of 4.84. Fobi AI technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Fobi AI mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Fobi AI is priced favorably, providing market reflects its regular price of 0.04 per share.
Fobi AI Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fobi, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FobiFobi |
Fobi AI 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.
Fobi AI Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Fobi AI volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Fobi AI Trend Analysis
Use this graph to draw trend lines for Fobi AI. You can use it to identify possible trend reversals for Fobi AI 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 Fobi AI price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Fobi AI Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Fobi AI applied against its price change over selected period. The best fit line has a slop of 0.0002 , which may suggest that Fobi AI market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Fobi AI price change compared to its average price change.About Fobi AI 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 Fobi AI 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 Fobi AI based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Fobi AI price pattern first instead of the macroeconomic environment surrounding Fobi AI. By analyzing Fobi AI'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 Fobi AI'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 Fobi AI specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 (projected) | Payables Turnover | 3.11 | 3.27 | Days Of Inventory On Hand | 28.36 | 25.21 |
Fobi AI December 15, 2024 Technical Indicators
Most technical analysis of Fobi 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 Fobi from various momentum indicators to cycle indicators. When you analyze Fobi 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 | (0.05) | |||
| Market Risk Adjusted Performance | 1.64 | |||
| Mean Deviation | 2.38 | |||
| Coefficient Of Variation | (1,324) | |||
| Standard Deviation | 4.84 | |||
| Variance | 23.4 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.35) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | 1.63 | |||
| Maximum Drawdown | 25.0 | |||
| Value At Risk | (11.11) | |||
| Potential Upside | 9.09 | |||
| Skewness | 0.1427 | |||
| Kurtosis | 3.05 |
Additional Tools for Fobi Stock Analysis
When running Fobi AI's price analysis, check to measure Fobi AI'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 Fobi AI is operating at the current time. Most of Fobi AI's value examination focuses on studying past and present price action to predict the probability of Fobi AI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fobi AI's price. Additionally, you may evaluate how the addition of Fobi AI to your portfolios can decrease your overall portfolio volatility.