Health In Stock Forecast - Simple Exponential Smoothing

HIT Stock   1.43  0.03  2.14%   
The Simple Exponential Smoothing forecasted value of Health In Tech on the next trading day is expected to be 1.43 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.61. Health Stock Forecast 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
The successful prediction of Health In's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Health In Tech, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Health In's stock price prediction:
Quarterly Earnings Growth
0.103
EPS Estimate Next Quarter
0.01
EPS Estimate Current Year
0.035
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 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 Simple Exponential Smoothing forecasted value of Health In Tech on the next trading day is expected to be 1.43 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.61.

Health In after-hype prediction price

    
  USD 1.46  
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.
Payables Turnover is likely to drop to 1.00 in 2026. Receivables Turnover is likely to drop to 5.30 in 2026. Common Stock Shares Outstanding is likely to drop to about 43.1 M in 2026.

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.
Health In simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Health In Tech are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Health In Tech prices get older.

Health In Simple Exponential Smoothing Price Forecast For the 18th of January 2026

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Health In Tech on the next trading day is expected to be 1.43 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.03, and the sum of the absolute errors of 6.61.
Please note that although there have been many attempts to predict Health Stock prices using its time series forecasting, we generally do not recommend 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 InHealth In Price PredictionBuy or Sell Advice 

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 9.41, 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.
Market Value
1.43
1.43
Expected Value
9.41
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing 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.
AICAkaike Information Criteria114.4712
BiasArithmetic mean of the errors 0.0257
MADMean absolute deviation0.1084
MAPEMean absolute percentage error0.0613
SAESum of the absolute errors6.61
This simple exponential smoothing model begins by setting Health In Tech forecast for the second period equal to the observation of the first period. In other words, recent Health In observations are given relatively more weight in forecasting than the older observations.

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.
Hype
Prediction
LowEstimatedHigh
0.071.469.44
Details
Intrinsic
Valuation
LowRealHigh
0.071.379.35
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.010.010.01
Details

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 Tech Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Health In's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Health In's current price.

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.
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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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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.