Spectral Ai Stock Analysis

Spectral Stock Analysis Notes

About 42.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 0.63. Spectral AI had not issued any dividends in recent years. To find out more about Spectral AI contact Erich Spangenberg at 972-499-4934 or learn more at https://www.spectral-ai.com.

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Spectral Market Capitalization

The company currently falls under 'Micro-Cap' category with a current market capitalization of 22.12 M.

Spectral Profitablity

The company has Profit Margin (PM) of (0.41) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.11) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.11.

Management Efficiency

Spectral AI has return on total asset (ROA) of (0.4387) % which means that it has lost $0.4387 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of (23.0832) %, meaning that it created substantial loss on money invested by shareholders. Spectral's management efficiency ratios could be used to measure how well Spectral manages its routine affairs as well as how well it operates its assets and liabilities. As of now, Spectral's Return On Capital Employed is increasing as compared to previous years. The Spectral's current Return On Equity is estimated to increase to 12.81, while Return On Tangible Assets are forecasted to increase to (1.85). As of now, Spectral's Total Assets are increasing as compared to previous years. The Spectral's current Non Currrent Assets Other is estimated to increase to about 341.7 K, while Net Tangible Assets are projected to decrease to under 9.9 M.

Technical Drivers

As of the 25th of November, Spectral has the Coefficient Of Variation of (3,737), risk adjusted performance of (0.01), and Variance of 42.06. 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 AI Price Movement Analysis

Spectral AI Insider Trading Activities

Spectral Predictive Daily Indicators

Spectral Forecast Models

Spectral's time-series forecasting models are one of many Spectral's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Spectral's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Spectral prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Spectral shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Spectral. By using and applying Spectral Stock analysis, traders can create a robust methodology for identifying Spectral entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Spectral analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Spectral analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Spectral AI stock analysis indicators help investors evaluate how Spectral stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Spectral shares will generate the highest return on investment. By understating and applying Spectral stock analysis, traders can identify Spectral position entry and exit signals to maximize returns.

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.