SINTX Technologies Stock Forecast - Polynomial Regression

SINT Stock  USD 0.14  0.01  7.69%   
The Polynomial Regression forecasted value of SINTX Technologies on the next trading day is expected to be 0.14 with a mean absolute deviation of  0.02  and the sum of the absolute errors of 0.99. SINTX Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SINTX Technologies stock prices and determine the direction of SINTX Technologies's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SINTX Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns. Although SINTX Technologies' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of SINTX Technologies' systematic risk associated with finding meaningful patterns of SINTX Technologies fundamentals over time.
Check out Historical Fundamental Analysis of SINTX Technologies to cross-verify your projections.
For more information on how to buy SINTX Stock please use our How to Invest in SINTX Technologies guide.
  
At this time, SINTX Technologies' Payables Turnover is comparatively stable compared to the past year. Receivables Turnover is likely to gain to 5.64 in 2024, whereas Inventory Turnover is likely to drop 1.54 in 2024. . Common Stock Shares Outstanding is likely to gain to about 4.6 M in 2024, whereas Net Loss is likely to drop (19.9 M) in 2024.
Most investors in SINTX Technologies cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the SINTX Technologies' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets SINTX Technologies' price structures and extracts relationships that further increase the generated results' accuracy.
SINTX Technologies polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SINTX Technologies as well as the accuracy indicators are determined from the period prices.

SINTX Technologies Polynomial Regression Price Forecast For the 18th of May 2024

Given 90 days horizon, the Polynomial Regression forecasted value of SINTX Technologies on the next trading day is expected to be 0.14 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.99.
Please note that although there have been many attempts to predict SINTX 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 SINTX Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SINTX Technologies Stock Forecast Pattern

Backtest SINTX TechnologiesSINTX Technologies Price PredictionBuy or Sell Advice 

SINTX Technologies Forecasted Value

In the context of forecasting SINTX Technologies' 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. SINTX Technologies' downside and upside margins for the forecasting period are 0 and 23.16, respectively. We have considered SINTX Technologies' 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
0.14
0.14
Expected Value
23.16
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of SINTX Technologies stock data series using in forecasting. Note that when a statistical model is used to represent SINTX Technologies 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 Criteria112.086
BiasArithmetic mean of the errors None
MADMean absolute deviation0.016
MAPEMean absolute percentage error0.3267
SAESum of the absolute errors0.9937
A single variable polynomial regression model attempts to put a curve through the SINTX Technologies historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for SINTX Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SINTX Technologies. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SINTX Technologies' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.010.1423.16
Details
Intrinsic
Valuation
LowRealHigh
0.091.8424.86
Details
Bollinger
Band Projection (param)
LowMiddleHigh
-0.020.060.14
Details
2 Analysts
Consensus
LowTargetHigh
6.377.007.77
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SINTX Technologies. Your research has to be compared to or analyzed against SINTX Technologies' peers to derive any actionable benefits. When done correctly, SINTX Technologies' 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 SINTX Technologies.

Other Forecasting Options for SINTX Technologies

For every potential investor in SINTX, whether a beginner or expert, SINTX Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SINTX Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SINTX. Basic forecasting techniques help filter out the noise by identifying SINTX Technologies' price trends.

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

SINTX Technologies 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 SINTX Technologies' 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 SINTX Technologies' current price.

SINTX Technologies Market Strength Events

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

SINTX Technologies Risk Indicators

The analysis of SINTX Technologies' 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 SINTX Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sintx 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.

Pair Trading with SINTX Technologies

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if SINTX Technologies position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in SINTX Technologies will appreciate offsetting losses from the drop in the long position's value.

Moving together with SINTX Stock

  0.77DOCS Doximity Upward RallyPairCorr
  0.63VEEV Veeva Systems Class Financial Report 29th of May 2024 PairCorr
  0.64ENSG Ensign GroupPairCorr

Moving against SINTX Stock

  0.73EHC Encompass Health CorpPairCorr
  0.71HAE HaemoneticsPairCorr
  0.68CI Cigna Corp Sell-off TrendPairCorr
The ability to find closely correlated positions to SINTX Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SINTX Technologies when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back SINTX Technologies - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling SINTX Technologies to buy it.
The correlation of SINTX Technologies is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as SINTX Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SINTX Technologies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for SINTX Technologies can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether SINTX Technologies is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if SINTX Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Sintx Technologies Stock. Highlighted below are key reports to facilitate an investment decision about Sintx Technologies Stock:
Check out Historical Fundamental Analysis of SINTX Technologies to cross-verify your projections.
For more information on how to buy SINTX Stock please use our How to Invest in SINTX Technologies guide.
You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.

Complementary Tools for SINTX Stock analysis

When running SINTX Technologies' price analysis, check to measure SINTX Technologies' 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 SINTX Technologies is operating at the current time. Most of SINTX Technologies' value examination focuses on studying past and present price action to predict the probability of SINTX Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SINTX Technologies' price. Additionally, you may evaluate how the addition of SINTX Technologies to your portfolios can decrease your overall portfolio volatility.
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Is SINTX Technologies' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of SINTX Technologies. If investors know SINTX will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about SINTX Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(3.13)
Revenue Per Share
0.703
Quarterly Revenue Growth
0.179
Return On Assets
(0.49)
Return On Equity
(1.14)
The market value of SINTX Technologies is measured differently than its book value, which is the value of SINTX that is recorded on the company's balance sheet. Investors also form their own opinion of SINTX Technologies' value that differs from its market value or its book value, called intrinsic value, which is SINTX Technologies' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because SINTX Technologies' market value can be influenced by many factors that don't directly affect SINTX Technologies' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between SINTX Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if SINTX Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SINTX Technologies' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.