Polymeric Resources Pink Sheet Forecast - Simple Exponential Smoothing

PLYR Stock  USD 35.00  0.00  0.00%   
The Simple Exponential Smoothing forecasted value of Polymeric Resources on the next trading day is expected to be 35.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Polymeric Pink Sheet Forecast is based on your current time horizon.
  
Polymeric Resources simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Polymeric Resources are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Polymeric Resources prices get older.

Polymeric Resources Simple Exponential Smoothing Price Forecast For the 1st of December

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Polymeric Resources on the next trading day is expected to be 35.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Polymeric 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 Polymeric Resources' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Polymeric Resources Pink Sheet Forecast Pattern

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Polymeric Resources Forecasted Value

In the context of forecasting Polymeric Resources' 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. Polymeric Resources' downside and upside margins for the forecasting period are 35.00 and 35.00, respectively. We have considered Polymeric Resources' 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
35.00
35.00
Expected Value
35.00
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Polymeric Resources pink sheet data series using in forecasting. Note that when a statistical model is used to represent Polymeric Resources 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This simple exponential smoothing model begins by setting Polymeric Resources forecast for the second period equal to the observation of the first period. In other words, recent Polymeric Resources observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Polymeric Resources

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Polymeric Resources. 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 Polymeric Resources' 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
35.0035.0035.00
Details
Intrinsic
Valuation
LowRealHigh
35.0035.0035.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
35.0035.0035.00
Details

Other Forecasting Options for Polymeric Resources

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

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

Polymeric Resources 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 Polymeric Resources' 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 Polymeric Resources' current price.

Polymeric Resources Market Strength Events

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

Polymeric Resources Risk Indicators

The analysis of Polymeric Resources' 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 Polymeric Resources' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting polymeric 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.

Pair Trading with Polymeric Resources

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Polymeric Resources position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Polymeric Resources will appreciate offsetting losses from the drop in the long position's value.

Moving against Polymeric Pink Sheet

  0.79SLMNP A SchulmanPairCorr
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  0.31GNENF Ganfeng LithiumPairCorr
The ability to find closely correlated positions to Polymeric Resources could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Polymeric Resources when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Polymeric Resources - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Polymeric Resources to buy it.
The correlation of Polymeric Resources is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Polymeric Resources moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Polymeric Resources moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Polymeric Resources can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Polymeric Pink Sheet Analysis

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