Evofem Biosciences OTC Stock Forecast - Polynomial Regression

EVFMDelisted Stock  USD 0.05  0.0001  0.21%   
The Polynomial Regression forecasted value of Evofem Biosciences on the next trading day is expected to be 0.05 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.08. Evofem OTC Stock Forecast is based on your current time horizon.
  
Evofem Biosciences polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Evofem Biosciences as well as the accuracy indicators are determined from the period prices.

Evofem Biosciences Polynomial Regression Price Forecast For the 8th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Evofem Biosciences on the next trading day is expected to be 0.05 with a mean absolute deviation of 0, mean absolute percentage error of 0.000012, and the sum of the absolute errors of 0.08.
Please note that although there have been many attempts to predict Evofem OTC 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 Evofem Biosciences' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Evofem Biosciences OTC Stock Forecast Pattern

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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 Evofem Biosciences otc stock data series using in forecasting. Note that when a statistical model is used to represent Evofem Biosciences otc 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 Criteria53.507
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0026
MAPEMean absolute percentage error0.0443
SAESum of the absolute errors0.0844
A single variable polynomial regression model attempts to put a curve through the Evofem Biosciences 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 Evofem Biosciences

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Evofem Biosciences. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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
0.040.050.05
Details
Intrinsic
Valuation
LowRealHigh
0.040.050.05
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Evofem Biosciences. Your research has to be compared to or analyzed against Evofem Biosciences' peers to derive any actionable benefits. When done correctly, Evofem Biosciences' 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 Evofem Biosciences.

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

Evofem Biosciences Market Strength Events

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

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Note that the Evofem Biosciences information on this page should be used as a complementary analysis to other Evofem Biosciences' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Consideration for investing in Evofem OTC Stock

If you are still planning to invest in Evofem Biosciences check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Evofem Biosciences' history and understand the potential risks before investing.
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