Aperam PK Pink Sheet Forecast - Polynomial Regression

APEMY Stock  USD 29.66  0.26  0.88%   
The Polynomial Regression forecasted value of Aperam PK on the next trading day is expected to be 29.32 with a mean absolute deviation of 1.11 and the sum of the absolute errors of 67.79. Aperam Pink Sheet Forecast is based on your current time horizon.
  
Aperam PK polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Aperam PK as well as the accuracy indicators are determined from the period prices.

Aperam PK Polynomial Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Polynomial Regression forecasted value of Aperam PK on the next trading day is expected to be 29.32 with a mean absolute deviation of 1.11, mean absolute percentage error of 1.67, and the sum of the absolute errors of 67.79.
Please note that although there have been many attempts to predict Aperam Pink Sheet 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 Aperam PK's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Aperam PK Pink Sheet Forecast Pattern

Backtest Aperam PKAperam PK Price PredictionBuy or Sell Advice 

Aperam PK Forecasted Value

In the context of forecasting Aperam PK's Pink Sheet 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. Aperam PK's downside and upside margins for the forecasting period are 26.18 and 32.46, respectively. We have considered Aperam PK'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
29.66
29.32
Expected Value
32.46
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 Aperam PK pink sheet data series using in forecasting. Note that when a statistical model is used to represent Aperam PK pink sheet, 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 Criteria118.622
BiasArithmetic mean of the errors None
MADMean absolute deviation1.1114
MAPEMean absolute percentage error0.0401
SAESum of the absolute errors67.7942
A single variable polynomial regression model attempts to put a curve through the Aperam PK 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 Aperam PK

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aperam PK. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
26.4929.6632.83
Details
Intrinsic
Valuation
LowRealHigh
21.0224.1932.63
Details
Bollinger
Band Projection (param)
LowMiddleHigh
26.0828.2430.41
Details

Other Forecasting Options for Aperam PK

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

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

Aperam PK Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Aperam PK'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 Aperam PK's current price.

Aperam PK Market Strength Events

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

Aperam PK Risk Indicators

The analysis of Aperam PK'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 Aperam PK's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting aperam pink sheet 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Aperam Pink Sheet Analysis

When running Aperam PK's price analysis, check to measure Aperam PK'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 Aperam PK is operating at the current time. Most of Aperam PK's value examination focuses on studying past and present price action to predict the probability of Aperam PK's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aperam PK's price. Additionally, you may evaluate how the addition of Aperam PK to your portfolios can decrease your overall portfolio volatility.