Spectral Ai Stock Technical Analysis

MDAI Stock   1.74  0.11  6.75%   
As of the 23rd of January, Spectral has the Coefficient Of Variation of (1,670), variance of 16.39, and Risk Adjusted Performance of (0.04). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Spectral AI, as well as the relationship between them.

Spectral Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Spectral, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SpectralSpectral's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
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.
0.00
10/25/2025
No Change 0.00  0.0 
In 3 months and 1 day
01/23/2026
0.00
If you would invest  0.00  in Spectral on October 25, 2025 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 Icecure Medical, Tela Bio, Cytosorbents Crp, Sensus Healthcare, Equillium, Coeptis Therapeutics, and Century Therapeutics. 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.
Hype
Prediction
LowEstimatedHigh
0.091.745.79
Details
Intrinsic
Valuation
LowRealHigh
0.071.465.51
Details
Naive
Forecast
LowNextHigh
0.041.785.83
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.361.561.76
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 January 23, 2026 Technical Indicators

Spectral AI Backtested Returns

Spectral AI owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0599, which indicates the firm had a -0.0599 % return per unit of risk over the last 3 months. Spectral AI exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Spectral's Risk Adjusted Performance of (0.04), coefficient of variation of (1,670), and Variance of 16.39 to confirm the risk estimate we provide. The entity has a beta of 1.27, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Spectral will likely underperform. At this point, Spectral AI has a negative expected return of -0.24%. Please make sure to validate Spectral's jensen alpha, kurtosis, price action indicator, as well as the relationship between the maximum drawdown 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

    
  0.17  

Very weak predictability

Spectral AI has very weak predictability. Overlapping area represents the amount of predictability between Spectral time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 2026. 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 0.17 indicates that over 17.0% of current Spectral price fluctuation can be explain by its past prices.
Correlation Coefficient0.17
Spearman Rank Test0.18
Residual Average0.0
Price Variance0.01
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...

Spectral AI Technical Analysis

Indicator
Time Period
Execute Indicator
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Spectral AI volatility. High ATR values indicate high volatility, and low values indicate low volatility.

About Spectral 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 Spectral 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 Spectral AI based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Spectral AI price pattern first instead of the macroeconomic environment surrounding Spectral AI. By analyzing Spectral'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 Spectral'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 Spectral specific price patterns or momentum indicators. Please read more on our technical analysis page.

Spectral January 23, 2026 Technical Indicators

Most technical analysis of Spectral 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 Spectral from various momentum indicators to cycle indicators. When you analyze Spectral 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.

Spectral January 23, 2026 Daily Trend Indicators

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Spectral stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.

Complementary 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.
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