Ams AG Pink Sheet Forecast - Polynomial Regression

AUKUF Stock  USD 7.45  0.00  0.00%   
The Polynomial Regression forecasted value of ams AG on the next trading day is expected to be 7.64 with a mean absolute deviation of 1.71 and the sum of the absolute errors of 104.57. Ams Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Ams AG's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Ams AG polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for ams AG as well as the accuracy indicators are determined from the period prices.

Ams AG Polynomial Regression Price Forecast For the 1st of December

Given 90 days horizon, the Polynomial Regression forecasted value of ams AG on the next trading day is expected to be 7.64 with a mean absolute deviation of 1.71, mean absolute percentage error of 7.43, and the sum of the absolute errors of 104.57.
Please note that although there have been many attempts to predict Ams 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 Ams AG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ams AG Pink Sheet Forecast Pattern

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Ams AG Forecasted Value

In the context of forecasting Ams AG'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. Ams AG's downside and upside margins for the forecasting period are 0.07 and 164.77, respectively. We have considered Ams AG'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
7.45
7.64
Expected Value
164.77
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 Ams AG pink sheet data series using in forecasting. Note that when a statistical model is used to represent Ams AG 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 Criteria120.1162
BiasArithmetic mean of the errors None
MADMean absolute deviation1.7143
MAPEMean absolute percentage error0.7357
SAESum of the absolute errors104.5711
A single variable polynomial regression model attempts to put a curve through the Ams AG 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 Ams AG

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ams AG. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ams AG's 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
0.377.45752.45
Details
Intrinsic
Valuation
LowRealHigh
0.295.85750.85
Details

Other Forecasting Options for Ams AG

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

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

ams AG 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 Ams AG'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 Ams AG's current price.

Ams AG Market Strength Events

Market strength indicators help investors to evaluate how Ams AG 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 Ams AG shares will generate the highest return on investment. By undertsting and applying Ams AG pink sheet market strength indicators, traders can identify ams AG entry and exit signals to maximize returns.

Ams AG Risk Indicators

The analysis of Ams AG'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 Ams AG's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ams 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.

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Other Information on Investing in Ams Pink Sheet

Ams AG financial ratios help investors to determine whether Ams Pink Sheet 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 Ams with respect to the benefits of owning Ams AG security.