Health Catalyst Stock Forecast - Simple Regression

HCAT Stock  USD 8.13  0.00  0.00%   
The Simple Regression forecasted value of Health Catalyst on the next trading day is expected to be 8.13 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.26. Health Stock Forecast is based on your current time horizon.
  
At this time, Health Catalyst's Payables Turnover is comparatively stable compared to the past year. Fixed Asset Turnover is likely to gain to 10.59 in 2024, whereas Receivables Turnover is likely to drop 3.83 in 2024. . Common Stock Shares Outstanding is likely to drop to about 42.7 M in 2024. Net Loss is likely to drop to about (129.8 M) in 2024.
Simple Regression model is a single variable regression model that attempts to put a straight line through Health Catalyst price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Health Catalyst Simple Regression Price Forecast For the 24th of November

Given 90 days horizon, the Simple Regression forecasted value of Health Catalyst on the next trading day is expected to be 8.13 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.20, and the sum of the absolute errors of 23.26.
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 Catalyst's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Health Catalyst Stock Forecast Pattern

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Health Catalyst Forecasted Value

In the context of forecasting Health Catalyst'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 Catalyst's downside and upside margins for the forecasting period are 4.89 and 11.38, respectively. We have considered Health Catalyst'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
8.13
8.13
Expected Value
11.38
Upside

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 Health Catalyst stock data series using in forecasting. Note that when a statistical model is used to represent Health Catalyst 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 Criteria118.3611
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3751
MAPEMean absolute percentage error0.0469
SAESum of the absolute errors23.2571
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Health Catalyst historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Health Catalyst

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 Catalyst. 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
4.868.1011.34
Details
Intrinsic
Valuation
LowRealHigh
6.179.4112.65
Details
15 Analysts
Consensus
LowTargetHigh
13.3514.6716.28
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Health Catalyst. Your research has to be compared to or analyzed against Health Catalyst's peers to derive any actionable benefits. When done correctly, Health Catalyst's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Health Catalyst.

Other Forecasting Options for Health Catalyst

For every potential investor in Health, whether a beginner or expert, Health Catalyst'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 Catalyst's price trends.

Health Catalyst 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 Catalyst stock to make a market-neutral strategy. Peer analysis of Health Catalyst could also be used in its relative valuation, which is a method of valuing Health Catalyst by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Health Catalyst 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 Catalyst'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 Catalyst's current price.

Health Catalyst Market Strength Events

Market strength indicators help investors to evaluate how Health Catalyst 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 Catalyst shares will generate the highest return on investment. By undertsting and applying Health Catalyst stock market strength indicators, traders can identify Health Catalyst entry and exit signals to maximize returns.

Health Catalyst Risk Indicators

The analysis of Health Catalyst'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 Catalyst'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 Catalyst's price analysis, check to measure Health Catalyst'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 Catalyst is operating at the current time. Most of Health Catalyst's value examination focuses on studying past and present price action to predict the probability of Health Catalyst'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 Catalyst's price. Additionally, you may evaluate how the addition of Health Catalyst to your portfolios can decrease your overall portfolio volatility.