BIORA THERAPEUTNEW Stock Forecast - Polynomial Regression

4ZU0 Stock   5.10  0.00  0.00%   
The Polynomial Regression forecasted value of BIORA THERAPEUTNEW 001 on the next trading day is expected to be 4.39 with a mean absolute deviation of 0.74 and the sum of the absolute errors of 45.17. BIORA Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of BIORA THERAPEUTNEW's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
BIORA THERAPEUTNEW polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for BIORA THERAPEUTNEW 001 as well as the accuracy indicators are determined from the period prices.

BIORA THERAPEUTNEW Polynomial Regression Price Forecast For the 28th of December

Given 90 days horizon, the Polynomial Regression forecasted value of BIORA THERAPEUTNEW 001 on the next trading day is expected to be 4.39 with a mean absolute deviation of 0.74, mean absolute percentage error of 1.02, and the sum of the absolute errors of 45.17.
Please note that although there have been many attempts to predict BIORA 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 BIORA THERAPEUTNEW's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BIORA THERAPEUTNEW Stock Forecast Pattern

Backtest BIORA THERAPEUTNEWBIORA THERAPEUTNEW Price PredictionBuy or Sell Advice 

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 BIORA THERAPEUTNEW stock data series using in forecasting. Note that when a statistical model is used to represent BIORA THERAPEUTNEW 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 Criteria118.1334
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7406
MAPEMean absolute percentage error7.2492
SAESum of the absolute errors45.1744
A single variable polynomial regression model attempts to put a curve through the BIORA THERAPEUTNEW 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 BIORA THERAPEUTNEW

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BIORA THERAPEUTNEW 001. 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
0.265.10515.10
Details
Intrinsic
Valuation
LowRealHigh
0.163.22513.22
Details

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

BIORA THERAPEUTNEW Market Strength Events

Market strength indicators help investors to evaluate how BIORA THERAPEUTNEW stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading BIORA THERAPEUTNEW shares will generate the highest return on investment. By undertsting and applying BIORA THERAPEUTNEW stock market strength indicators, traders can identify BIORA THERAPEUTNEW 001 entry and exit signals to maximize returns.

BIORA THERAPEUTNEW Risk Indicators

The analysis of BIORA THERAPEUTNEW'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 BIORA THERAPEUTNEW's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting biora 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.

Currently Active Assets on Macroaxis

Other Information on Investing in BIORA Stock

BIORA THERAPEUTNEW financial ratios help investors to determine whether BIORA Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in BIORA with respect to the benefits of owning BIORA THERAPEUTNEW security.