Health In Stock Forward View
| HIT Stock | 1.05 0.01 0.94% |
Health Stock outlook is based on your current time horizon.
At this time the relative strength index (rsi) of Health In's share price is below 20 . This usually 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 Earnings Growth 0.103 | EPS Estimate Next Quarter 0.01 | Wall Street Target Price 4.5 | Quarterly Revenue Growth 0.904 |
Using Health In hype-based prediction, you can estimate the value of Health In Tech from the perspective of Health In response to recently generated media hype and the effects of current headlines on its competitors.
Health Relative Strength Index
The Naive Prediction forecasted value of Health In Tech on the next trading day is expected to be 0.99 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.76.Health In Tech Hype to Price Pattern
Investor biases related to Health In's public news can be used to forecast risks associated with an investment in Health. The trend in average sentiment can be used to explain how an investor holding Health can time the market purely based on public headlines and social activities around Health In Tech. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Health In's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Health In.
The Naive Prediction forecasted value of Health In Tech on the next trading day is expected to be 0.99 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.76. Health In after-hype prediction price | USD 1.07 |
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 Health In to cross-verify your projections. Health In Additional Predictive Modules
Most predictive techniques to examine Health price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Health using various technical indicators. When you analyze Health 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 |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Health In's financial statements to predict how it will affect future prices.
Cash | First Reported 2010-12-31 | Previous Quarter 9 M | Current Value 9.5 M | Quarterly Volatility 2.9 M |
Health In Naive Prediction Price Forecast For the 7th of February
Given 90 days horizon, the Naive Prediction forecasted value of Health In Tech on the next trading day is expected to be 0.99 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.76.Please note that although there have been many attempts to predict Health 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 Health In's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Health In Stock Forecast Pattern
| Backtest Health In | Health In Price Prediction | Research Analysis |
Health In Forecasted Value
In the context of forecasting Health In's 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. Health In's downside and upside margins for the forecasting period are 0.01 and 8.77, respectively. We have considered Health In's 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Health In stock data series using in forecasting. Note that when a statistical model is used to represent Health In 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 | 114.3698 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1108 |
| MAPE | Mean absolute percentage error | 0.0758 |
| SAE | Sum of the absolute errors | 6.7617 |
Predictive Modules for Health In
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Health In Tech. 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.Health In After-Hype Price Density Analysis
As far as predicting the price of Health In 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 Health In 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 Health In, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Health In Estimiated After-Hype Price Volatility
In the context of predicting Health In's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Health In's historical news coverage. Health In's after-hype downside and upside margins for the prediction period are 0.05 and 8.85, respectively. We have considered Health In's 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
Health In is abnormally volatile at this time. Analysis and calculation of next after-hype price of Health In Tech is based on 3 months time horizon.
Health In Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Health In is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Health In 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 Health In, 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 |
1.37 | 7.78 | 0.01 | 0.10 | 9 Events / Month | 6 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
1.05 | 1.07 | 0.94 |
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Health In Hype Timeline
On the 6th of February Health In Tech is traded for 1.05. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of 0.1. Health is forecasted to increase in value after the next headline, with the price projected to jump to 1.07 or above. The average volatility of media hype impact on the company the price is over 100%. The price appreciation on the next news is projected to be 0.94%, whereas the daily expected return is currently at -1.37%. The volatility of related hype on Health In is about 10236.84%, with the expected price after the next announcement by competition of 1.15. The company reported the last year's revenue of 19.49 M. Total Income to common stockholders was 670.48 K with profit before taxes, overhead, and interest of 20.61 M. Considering the 90-day investment horizon the next forecasted press release will be in about 9 days. Check out Historical Fundamental Analysis of Health In to cross-verify your projections.Health In Related Hype Analysis
Having access to credible news sources related to Health In's direct competition is more important than ever and may enhance your ability to predict Health In's future price movements. Getting to know how Health In's 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 Health In may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| EXFY | Expensify | (0.05) | 7 per month | 0.00 | (0.07) | 4.83 | (4.17) | 15.27 | |
| DSP | Viant Technology | 0.10 | 10 per month | 2.75 | 0.11 | 5.03 | (5.36) | 28.10 | |
| TROO | TROOPS Inc | 0.44 | 7 per month | 4.99 | 0.25 | 13.53 | (9.09) | 41.09 | |
| XTKG | X3 Holdings Co | (0.22) | 9 per month | 0.00 | (0.04) | 24.24 | (34.15) | 160.00 | |
| TEAD | Teads BV | 0.01 | 5 per month | 0.00 | (0.09) | 10.94 | (9.76) | 54.35 | |
| LAWR | Robot Consulting Co | 0.00 | 3 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SVCO | Silvaco Group Common | 0.20 | 10 per month | 0.00 | (0.17) | 5.80 | (8.30) | 15.65 | |
| ARAI | Arrive AI | (0.08) | 8 per month | 0.00 | (0.34) | 5.35 | (11.80) | 20.70 | |
| STEM | Stem Inc | 0.80 | 10 per month | 0.00 | (0.11) | 8.29 | (10.06) | 27.42 | |
| CCRD | CoreCard Corp | (0.44) | 2 per month | 0.00 | (0.08) | 3.18 | (2.96) | 16.08 |
Other Forecasting Options for Health In
For every potential investor in Health, whether a beginner or expert, Health In's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Health Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Health. Basic forecasting techniques help filter out the noise by identifying Health In's price trends.Health In 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 Health In stock to make a market-neutral strategy. Peer analysis of Health In could also be used in its relative valuation, which is a method of valuing Health In by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Health In Market Strength Events
Market strength indicators help investors to evaluate how Health In stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Health In shares will generate the highest return on investment. By undertsting and applying Health In stock market strength indicators, traders can identify Health In Tech entry and exit signals to maximize returns.
Health In Risk Indicators
The analysis of Health In's 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 Health In's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting health 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 | 5.39 | |||
| Standard Deviation | 7.57 | |||
| Variance | 57.25 |
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 Health In
The number of cover stories for Health In depends on current market conditions and Health In's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Health In 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 Health In's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Health In Short Properties
Health In's future price predictability will typically decrease when Health In's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Health In Tech often depends not only on the future outlook of the potential Health In's 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. Health In's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 53.7 M | |
| Cash And Short Term Investments | 7.8 M |
Additional Tools for Health Stock Analysis
When running Health In's price analysis, check to measure Health In'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 Health In is operating at the current time. Most of Health In's value examination focuses on studying past and present price action to predict the probability of Health In's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Health In's price. Additionally, you may evaluate how the addition of Health In to your portfolios can decrease your overall portfolio volatility.