Polished Pink Sheet Forward View - Double Exponential Smoothing

POLCQ Stock   0.0004  0.00  0.00%   
The Double Exponential Smoothing forecasted value of Polished on the next trading day is expected to be 0.0004 with a mean absolute deviation of 0.000012 and the sum of the absolute errors of 0.0007. Investors can use prediction functions to forecast Polished's stock prices and determine the direction of Polished's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We suggest always using this module together with an analysis of Polished's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in private. The relative strength index (RSI) of Polished's pink sheet price is slightly above 68 indicating that the pink sheet is rather overbought by investors as of today. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Polished, making its price go up or down.

Momentum 68

 Buy Stretched

 
Oversold
 
Overbought
The successful prediction of Polished's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Polished, which may create opportunities for some arbitrage if properly timed.
Using Polished hype-based prediction, you can estimate the value of Polished from the perspective of Polished response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of Polished on the next trading day is expected to be 0.0004 with a mean absolute deviation of 0.000012 and the sum of the absolute errors of 0.0007.

Polished after-hype prediction price

    
  USD 3.12E-4  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in private.

Polished Additional Predictive Modules

Most predictive techniques to examine Polished price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Polished using various technical indicators. When you analyze Polished charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Polished works best with periods where there are trends or seasonality.

Polished Double Exponential Smoothing Price Forecast For the 5th of February

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Polished on the next trading day is expected to be 0.0004 with a mean absolute deviation of 0.000012, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0007.
Please note that although there have been many attempts to predict Polished Pink Sheet prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Polished's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Polished Pink Sheet Forecast Pattern

Polished Forecasted Value

In the context of forecasting Polished'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. Polished's downside and upside margins for the forecasting period are 0.000004 and 17.77, respectively. We have considered Polished'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
0.0004
0.000004
Downside
0.0004
Expected Value
17.77
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Polished pink sheet data series using in forecasting. Note that when a statistical model is used to represent Polished 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 CriteriaHuge
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0452
SAESum of the absolute errors7.0E-4
When Polished prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Polished trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Polished observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Polished

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Polished. 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 Polished'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.

Polished Estimiated After-Hype Price Volatility

As far as predicting the price of Polished at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Polished or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Polished, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Polished Pink Sheet Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Polished is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Polished backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Polished, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  3.55 
17.77
 0.00  
  0.23 
0 Events / Month
2 Events / Month
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.0004
0.0003
21.98 
0.00  
Notes

Polished Hype Timeline

Polished is at this time traded for 0.0004. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.23. Polished is forecasted to decline in value after the next headline, with the price expected to drop to 3.12E-4. The average volatility of media hype impact on the company price is insignificant. The price reduction on the next news is expected to be -21.98%, whereas the daily expected return is at this time at 3.55%. The volatility of related hype on Polished is about 27765.62%, with the expected price after the next announcement by competition of -0.23. Assuming the 90 days horizon the next forecasted press release will be within a week.
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in private.

Polished Related Hype Analysis

Having access to credible news sources related to Polished's direct competition is more important than ever and may enhance your ability to predict Polished's future price movements. Getting to know how Polished's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Polished may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Polished

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

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

Polished Market Strength Events

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

Polished Risk Indicators

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

Story Coverage note for Polished

The number of cover stories for Polished depends on current market conditions and Polished's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Polished is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Polished's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

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Additional Tools for Polished Pink Sheet Analysis

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