Spectral Ai Stock Technical Analysis

MDAIW Stock   0.35  0.01  2.94%   
As of the 28th of November, Spectral has the Risk Adjusted Performance of 0.0972, semi deviation of 8.17, and Coefficient Of Variation of 875.1. 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. Please validate Spectral AI information ratio, as well as the relationship between the potential upside and kurtosis to decide if Spectral is priced more or less accurately, providing market reflects its prevalent price of 0.35 per share. As Spectral AI appears to be a penny stock we also recommend to double-check its total risk alpha numbers.

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 Spectral
  
Spectral'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.
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

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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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.

Spectral AI Trend Analysis

Use this graph to draw trend lines for Spectral AI. You can use it to identify possible trend reversals for Spectral as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Spectral price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Spectral Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Spectral AI applied against its price change over selected period. The best fit line has a slop of    , which means Spectral AI will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.04, which is the sum of squared deviations for the predicted Spectral price change compared to its average price change.

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 November 28, 2024 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.

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.