Spectral Ai Stock Market Value
| MDAI Stock | 1.92 0.10 4.95% |
| 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.
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.
| 02/04/2023 |
| 01/24/2025 |
If you would invest 0.00 in Spectral on February 4, 2023 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 720 days. Spectral is related to or competes with Canlan Ice, Chemours, Balchem, Axalta Coating, CVR Partners, and Luxfer Holdings. 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 | 7.62 | |||
| Information Ratio | 0.0785 | |||
| Maximum Drawdown | 44.84 | |||
| Value At Risk | (10.89) | |||
| Potential Upside | 13.17 |
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 | 0.0809 | |||
| Jensen Alpha | 0.7382 | |||
| Total Risk Alpha | 0.2551 | |||
| Sortino Ratio | 0.0867 | |||
| Treynor Ratio | (1.01) |
Spectral AI Backtested Returns
Spectral appears to be dangerous, given 3 months investment horizon. Spectral AI owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0851, which indicates the firm had a 0.0851 % return per unit of risk over the last 3 months. By inspecting Spectral's technical indicators, you can evaluate if the expected return of 0.72% is justified by implied risk. Please review Spectral's Coefficient Of Variation of 1175.5, risk adjusted performance of 0.0809, and Semi Deviation of 6.93 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Spectral holds a performance score of 6. The entity has a beta of -0.7, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Spectral are expected to decrease at a much lower rate. During the bear market, Spectral is likely to outperform the market. Please check Spectral's standard deviation, value at risk, kurtosis, as well as the relationship between the sortino ratio and semi variance , to make a quick decision on whether Spectral's existing price patterns will revert.
Auto-correlation | 0.26 |
Poor predictability
Spectral AI has poor predictability. Overlapping area represents the amount of predictability between Spectral time series from 4th of February 2023 to 30th of January 2024 and 30th of January 2024 to 24th of January 2025. 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 | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
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 |
Currently Active Assets on Macroaxis
When determining whether Spectral AI is a strong investment it is important to analyze Spectral's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Spectral's future performance. For an informed investment choice regarding Spectral Stock, refer to the following important reports:Check out Spectral Correlation, Spectral Volatility and Spectral Alpha and Beta module to complement your research on Spectral. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Spectral 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.