Infrared Cameras Stock Forward View - Simple Regression
| MSAIW Stock | 0.05 0.01 14.13% |
Infrared Stock outlook is based on your current time horizon.
At this time the relative strength index (rsi) of Infrared Cameras' share price is below 20 . This indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Revenue Growth (0.02) |
Using Infrared Cameras hype-based prediction, you can estimate the value of Infrared Cameras Holdings from the perspective of Infrared Cameras response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Infrared Cameras Holdings on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.83. Infrared Cameras after-hype prediction price | USD 0.05 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Infrared Cameras to cross-verify your projections. Infrared Cameras Additional Predictive Modules
Most predictive techniques to examine Infrared price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Infrared using various technical indicators. When you analyze Infrared charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Infrared Cameras Simple Regression Price Forecast For the 7th of February
Given 90 days horizon, the Simple Regression forecasted value of Infrared Cameras Holdings on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0003, and the sum of the absolute errors of 0.83.Please note that although there have been many attempts to predict Infrared Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Infrared Cameras' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Infrared Cameras Stock Forecast Pattern
| Backtest Infrared Cameras | Infrared Cameras Price Prediction | Research Analysis |
Infrared Cameras Forecasted Value
In the context of forecasting Infrared Cameras' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Infrared Cameras' downside and upside margins for the forecasting period are 0.0005 and 17.33, respectively. We have considered Infrared Cameras' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Infrared Cameras stock data series using in forecasting. Note that when a statistical model is used to represent Infrared Cameras stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 111.7438 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0134 |
| MAPE | Mean absolute percentage error | 0.2243 |
| SAE | Sum of the absolute errors | 0.8281 |
Predictive Modules for Infrared Cameras
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Infrared Cameras Holdings. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Infrared Cameras After-Hype Price Density Analysis
As far as predicting the price of Infrared Cameras at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Infrared Cameras or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Infrared Cameras, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Infrared Cameras Estimiated After-Hype Price Volatility
In the context of predicting Infrared Cameras' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Infrared Cameras' historical news coverage. Infrared Cameras' after-hype downside and upside margins for the prediction period are 0.00 and 17.08, respectively. We have considered Infrared Cameras' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Infrared Cameras is out of control at this time. Analysis and calculation of next after-hype price of Infrared Cameras Holdings is based on 3 months time horizon.
Infrared Cameras Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Infrared Cameras is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Infrared Cameras backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Infrared Cameras, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.68 | 17.30 | 0.37 | 0.03 | 27 Events / Month | 6 Events / Month | In about 27 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.05 | 0.05 | 4.17 |
|
Infrared Cameras Hype Timeline
Infrared Cameras Holdings is now traded for 0.05. The entity has historical hype elasticity of -0.37, and average elasticity to hype of competition of 0.03. Infrared is forecasted to increase in value after the next headline, with the price projected to jump to 0.05 or above. The average volatility of media hype impact on the company the price is over 100%. The price increase on the next news is projected to be 4.17%, whereas the daily expected return is now at -0.68%. The volatility of related hype on Infrared Cameras is about 46756.76%, with the expected price after the next announcement by competition of 0.08. Infrared Cameras generates negative cash flow from operationsAssuming the 90 days horizon the next forecasted press release will be in about 27 days. Check out Historical Fundamental Analysis of Infrared Cameras to cross-verify your projections.Infrared Cameras Related Hype Analysis
Having access to credible news sources related to Infrared Cameras' direct competition is more important than ever and may enhance your ability to predict Infrared Cameras' future price movements. Getting to know how Infrared Cameras' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Infrared Cameras may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HPAI | Helport AI Limited | (0.19) | 7 per month | 4.15 | 0.03 | 7.14 | (5.80) | 23.89 | |
| HUBC | Hub Cyber Security | (0.55) | 8 per month | 0.00 | (0.25) | 8.94 | (17.81) | 90.82 | |
| ATCH | AtlasClear Holdings | (0.03) | 4 per month | 0.00 | (0.14) | 7.69 | (8.57) | 23.25 | |
| APCX | Apptech Corp | 0.00 | 0 per month | 7.47 | 0.16 | 21.62 | (10.81) | 95.15 | |
| FTFT | Future Fintech Group | 0.27 | 8 per month | 0.00 | (0.38) | 7.48 | (13.41) | 26.43 | |
| QCLS | QC Technologies | 1.44 | 5 per month | 7.26 | 0.03 | 13.54 | (12.75) | 63.27 | |
| CYCU | Cycurion | 0.06 | 10 per month | 0.00 | (0.05) | 15.67 | (11.31) | 79.76 | |
| RVYL | Ryvyl Inc | (0.67) | 10 per month | 0.00 | (0.1) | 15.50 | (10.91) | 34.18 | |
| BNZI | Banzai International | 0.06 | 9 per month | 0.00 | (0.08) | 14.29 | (13.33) | 48.98 | |
| GITS | Global Interactive Technologies | (0.02) | 9 per month | 7.68 | 0.12 | 15.29 | (15.33) | 142.07 |
Other Forecasting Options for Infrared Cameras
For every potential investor in Infrared, whether a beginner or expert, Infrared Cameras' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Infrared Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Infrared. Basic forecasting techniques help filter out the noise by identifying Infrared Cameras' price trends.Infrared Cameras Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Infrared Cameras stock to make a market-neutral strategy. Peer analysis of Infrared Cameras could also be used in its relative valuation, which is a method of valuing Infrared Cameras by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Infrared Cameras Market Strength Events
Market strength indicators help investors to evaluate how Infrared Cameras stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Infrared Cameras shares will generate the highest return on investment. By undertsting and applying Infrared Cameras stock market strength indicators, traders can identify Infrared Cameras Holdings entry and exit signals to maximize returns.
| Accumulation Distribution | 540.77 | |||
| Daily Balance Of Power | (2.26) | |||
| Rate Of Daily Change | 0.86 | |||
| Day Median Price | 0.0498 | |||
| Day Typical Price | 0.0492 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) |
Infrared Cameras Risk Indicators
The analysis of Infrared Cameras' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Infrared Cameras' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting infrared stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 11.86 | |||
| Semi Deviation | 12.91 | |||
| Standard Deviation | 17.54 | |||
| Variance | 307.74 | |||
| Downside Variance | 212.27 | |||
| Semi Variance | 166.74 | |||
| Expected Short fall | (17.06) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Infrared Cameras
The number of cover stories for Infrared Cameras depends on current market conditions and Infrared Cameras' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Infrared Cameras is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Infrared Cameras' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Infrared Cameras Short Properties
Infrared Cameras' future price predictability will typically decrease when Infrared Cameras' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Infrared Cameras Holdings often depends not only on the future outlook of the potential Infrared Cameras' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Infrared Cameras' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 20.1 M | |
| Cash And Short Term Investments | 4.4 M |
Additional Tools for Infrared Stock Analysis
When running Infrared Cameras' price analysis, check to measure Infrared Cameras' 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 Infrared Cameras is operating at the current time. Most of Infrared Cameras' value examination focuses on studying past and present price action to predict the probability of Infrared Cameras' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Infrared Cameras' price. Additionally, you may evaluate how the addition of Infrared Cameras to your portfolios can decrease your overall portfolio volatility.