Spectral Ai Stock Market Value
| MDAIW Stock | 0.40 0.05 14.29% |
| Symbol | Spectral |
Is Health Care Equipment & Supplies space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Spectral. If investors know Spectral will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Spectral listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Revenue Per Share 1.6 | Quarterly Revenue Growth 1.376 | Return On Assets (0.44) | Return On Equity (23.08) |
The market value of Spectral AI is measured differently than its book value, which is the value of Spectral that is recorded on the company's balance sheet. Investors also form their own opinion of Spectral's value that differs from its market value or its book value, called intrinsic value, which is Spectral's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Spectral's market value can be influenced by many factors that don't directly affect Spectral's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Spectral's value and its price as these two are different measures arrived at by different means. Investors typically determine if Spectral is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Spectral's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Spectral '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 Spectral's 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 Spectral.
| 09/02/2024 |
| 12/01/2024 |
If you would invest 0.00 in Spectral on September 2, 2024 and sell it all today you would earn a total of 0.00 from holding Spectral AI or generate 0.0% return on investment in Spectral over 90 days. Spectral is related to or competes with NETGEAR, AMREP, Analog Devices, Coursera, Universal Technical, and 51Talk Online. Spectral is entity of United States. It is traded as Stock on NASDAQ exchange. More
Spectral 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 Spectral's 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 Spectral AI upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 12.62 | |||
| Information Ratio | 0.1365 | |||
| Maximum Drawdown | 139.92 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 16.67 |
Spectral Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spectral's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spectral's standard deviation. In reality, there are many statistical measures that can use Spectral historical prices to predict the future Spectral's volatility.| Risk Adjusted Performance | 0.1193 | |||
| Jensen Alpha | 2.92 | |||
| Total Risk Alpha | (0.47) | |||
| Sortino Ratio | 0.2127 | |||
| Treynor Ratio | (3.27) |
Spectral AI Backtested Returns
Spectral is out of control given 3 months investment horizon. Spectral AI owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the firm had a 0.15% return per unit of risk over the last 3 months. We were able to collect and analyze data for thirty different technical indicators, which can help you to evaluate if expected returns of 3.03% are justified by taking the suggested risk. Use Spectral AI Coefficient Of Variation of 696.95, risk adjusted performance of 0.1193, and Semi Deviation of 7.51 to evaluate company specific risk that cannot be diversified away. Spectral holds a performance score of 12 on a scale of zero to a hundred. The entity has a beta of -0.86, which indicates possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Spectral are expected to decrease slowly. On the other hand, during market turmoil, Spectral is expected to outperform it slightly. Use Spectral AI total risk alpha and the relationship between the potential upside and day typical price , to analyze future returns on Spectral AI.
Auto-correlation | -0.26 |
Weak reverse predictability
Spectral AI has weak reverse predictability. Overlapping area represents the amount of predictability between Spectral time series from 2nd of September 2024 to 17th of October 2024 and 17th of October 2024 to 1st 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 Spectral AI price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Spectral price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Spectral AI lagged returns against current returns
Autocorrelation, which is Spectral 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 Spectral's stock expected returns. We can calculate the autocorrelation of Spectral returns to help us make a trade decision. For example, suppose you find that Spectral has exhibited high autocorrelation historically, and you observe that the 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 |
Spectral 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 Spectral stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Spectral stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Spectral stock over time.
Current vs Lagged Prices |
| Timeline |
Spectral Lagged Returns
When evaluating Spectral's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Spectral stock have on its future price. Spectral 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, Spectral autocorrelation shows the relationship between Spectral stock current value and its past values and can show if there is a momentum factor associated with investing in Spectral AI.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Spectral Stock Analysis
When running Spectral's price analysis, check to measure Spectral'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 Spectral is operating at the current time. Most of Spectral's value examination focuses on studying past and present price action to predict the probability of Spectral's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Spectral's price. Additionally, you may evaluate how the addition of Spectral to your portfolios can decrease your overall portfolio volatility.