European Metals OTC Stock Forecast - Polynomial Regression

ERPNFDelisted Stock  USD 0.55  0.00  0.00%   
The Polynomial Regression forecasted value of European Metals Holdings on the next trading day is expected to be 0.47 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.52. European OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of European Metals' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
European Metals polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for European Metals Holdings as well as the accuracy indicators are determined from the period prices.

European Metals Polynomial Regression Price Forecast For the 1st of February

Given 90 days horizon, the Polynomial Regression forecasted value of European Metals Holdings on the next trading day is expected to be 0.47 with a mean absolute deviation of 0.02, mean absolute percentage error of 0, and the sum of the absolute errors of 1.52.
Please note that although there have been many attempts to predict European 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 European Metals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

European Metals OTC Stock Forecast Pattern

Backtest European MetalsEuropean Metals 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 European Metals otc stock data series using in forecasting. Note that when a statistical model is used to represent European Metals 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 Criteria111.2294
BiasArithmetic mean of the errors None
MADMean absolute deviation0.025
MAPEMean absolute percentage error0.0496
SAESum of the absolute errors1.5232
A single variable polynomial regression model attempts to put a curve through the European Metals 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 European Metals

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as European Metals Holdings. 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
0.550.550.55
Details
Intrinsic
Valuation
LowRealHigh
0.450.450.61
Details

View European Metals Related Equities

 Risk & Return  Correlation

European Metals Market Strength Events

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

Currently Active Assets on Macroaxis

Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any otc stock could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.

Other Consideration for investing in European OTC Stock

If you are still planning to invest in European Metals Holdings 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 European Metals' history and understand the potential risks before investing.
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Bonds Directory
Find actively traded corporate debentures issued by US companies
Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities