Fobi Ai Stock Market Value
| FOBIF Stock | USD 0.01 0.0001 1.25% |
| Symbol | Fobi |
Fobi AI 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Fobi AI's otc stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Fobi AI.
| 12/18/2023 |
| 12/12/2024 |
If you would invest 0.00 in Fobi AI on December 18, 2023 and sell it all today you would earn a total of 0.00 from holding Fobi AI or generate 0.0% return on investment in Fobi AI over 360 days. Fobi AI is related to or competes with HUMANA, Barloworld, Morningstar Unconstrained, Thrivent High, High Yield, Via Renewables, and CARPENTER. Fobi AI Inc., operates as a data intelligence company worldwide More
Fobi AI Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Fobi AI's otc stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Fobi AI upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 109.17 | |||
| Value At Risk | (33.33) | |||
| Potential Upside | 27.14 |
Fobi AI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fobi AI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fobi AI's standard deviation. In reality, there are many statistical measures that can use Fobi AI historical prices to predict the future Fobi AI's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.94) | |||
| Total Risk Alpha | (3.70) | |||
| Treynor Ratio | (1.55) |
Fobi AI Backtested Returns
Fobi AI secures Sharpe Ratio (or Efficiency) of -0.0454, which denotes the company had a -0.0454% return per unit of standard deviation over the last 3 months. Fobi AI exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fobi AI's Coefficient Of Variation of (2,060), mean deviation of 10.38, and Standard Deviation of 17.84 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.57, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fobi AI's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fobi AI is expected to be smaller as well. At this point, Fobi AI has a negative expected return of -0.83%. Please make sure to confirm Fobi AI's potential upside, day typical price, and the relationship between the total risk alpha and daily balance of power , to decide if Fobi AI performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.57 |
Modest predictability
Fobi AI has modest predictability. Overlapping area represents the amount of predictability between Fobi AI time series from 18th of December 2023 to 15th of June 2024 and 15th of June 2024 to 12th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Fobi AI price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Fobi AI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Fobi AI lagged returns against current returns
Autocorrelation, which is Fobi AI otc stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Fobi AI's otc stock expected returns. We can calculate the autocorrelation of Fobi AI returns to help us make a trade decision. For example, suppose you find that Fobi AI has exhibited high autocorrelation historically, and you observe that the otc stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Fobi AI regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Fobi AI otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fobi AI otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fobi AI otc stock over time.
Current vs Lagged Prices |
| Timeline |
Fobi AI Lagged Returns
When evaluating Fobi AI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fobi AI otc stock have on its future price. Fobi AI autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Fobi AI autocorrelation shows the relationship between Fobi AI otc stock current value and its past values and can show if there is a momentum factor associated with investing in Fobi AI.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Fobi OTC Stock
Fobi AI financial ratios help investors to determine whether Fobi OTC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Fobi with respect to the benefits of owning Fobi AI security.