Spectral Ai Stock Market Value

MDAI Stock   1.62  0.07  4.52%   
Spectral's market value is the price at which a share of Spectral trades on a public exchange. It measures the collective expectations of Spectral AI investors about its performance. Spectral is trading at 1.62 as of the 6th of June 2024. This is a 4.52 percent increase since the beginning of the trading day. The stock's open price was 1.55.
With this module, you can estimate the performance of a buy and hold strategy of Spectral AI and determine expected loss or profit from investing in Spectral over a given investment horizon. Check out Spectral Correlation, Spectral Volatility and Spectral Alpha and Beta module to complement your research on Spectral.
Symbol

Spectral AI Price To Book Ratio

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.
Earnings Share
(1.21)
Revenue Per Share
0.139
Quarterly Revenue Growth
(0.51)
Return On Assets
(0.48)
Return On Equity
(2.83)
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.
0.00
03/08/2024
No Change 0.00  0.0 
In 2 months and 31 days
06/06/2024
0.00
If you would invest  0.00  in Spectral on March 8, 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 Shockwave Medical, Abbott Laboratories, Align Technology, and Pacific Biosciences. 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.

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Spectral's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.081.627.72
Details
Intrinsic
Valuation
LowRealHigh
0.081.607.70
Details
Naive
Forecast
LowNextHigh
0.031.657.75
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.551.681.81
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Spectral. Your research has to be compared to or analyzed against Spectral's peers to derive any actionable benefits. When done correctly, Spectral's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Spectral AI.

Spectral AI Backtested Returns

Spectral AI owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0352, which indicates the firm had a -0.0352% return per unit of risk over the last 3 months. Spectral AI exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Spectral's Coefficient Of Variation of (4,147), variance of 37.96, and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The entity has a beta of 0.72, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Spectral's returns are expected to increase less than the market. However, during the bear market, the loss of holding Spectral is expected to be smaller as well. At this point, Spectral AI has a negative expected return of -0.21%. Please make sure to validate Spectral's total risk alpha, kurtosis, price action indicator, as well as the relationship between the value at risk and rate of daily change , to decide if Spectral AI performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  0.31  

Below average predictability

Spectral AI has below average predictability. Overlapping area represents the amount of predictability between Spectral time series from 8th of March 2024 to 22nd of April 2024 and 22nd of April 2024 to 6th of June 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 0.31 indicates that nearly 31.0% of current Spectral price fluctuation can be explain by its past prices.
Correlation Coefficient0.31
Spearman Rank Test0.26
Residual Average0.0
Price Variance0.01

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  

Currently Active Assets on Macroaxis

Additional Information and Resources on Investing in Spectral Stock

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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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.
A focus of Spectral technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Spectral trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...