Yellow Pink Sheet Forecast - Double Exponential Smoothing

YELLQ Stock   0.03  0.02  200.00%   
The Double Exponential Smoothing forecasted value of Yellow on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.87. Investors can use prediction functions to forecast Yellow's stock prices and determine the direction of Yellow's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Yellow's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Your Current Watchlist 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 board of governors.
  
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 Yellow works best with periods where there are trends or seasonality.

Yellow Double Exponential Smoothing Price Forecast For the 27th of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Yellow on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.01, mean absolute percentage error of 0, and the sum of the absolute errors of 0.87.
Please note that although there have been many attempts to predict Yellow 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 Yellow's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Yellow Pink Sheet Forecast Pattern

Yellow Forecasted Value

In the context of forecasting Yellow'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. Yellow's downside and upside margins for the forecasting period are 0.0003 and 101.06, respectively. We have considered Yellow'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
0.03
0.0003
Downside
0.03
Expected Value
101.06
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 Yellow pink sheet data series using in forecasting. Note that when a statistical model is used to represent Yellow 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 6.0E-4
MADMean absolute deviation0.0147
MAPEMean absolute percentage error0.2976
SAESum of the absolute errors0.8675
When Yellow 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 Yellow 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 Yellow observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Yellow

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

Other Forecasting Options for Yellow

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

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

Yellow 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 Yellow'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 Yellow's current price.

Yellow Market Strength Events

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

Yellow Risk Indicators

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

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 Yellow 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 Yellow will appreciate offsetting losses from the drop in the long position's value.

Moving together with Yellow Pink Sheet

  0.68AMZN Amazon Inc Aggressive PushPairCorr

Moving against Yellow Pink Sheet

  0.54META Meta PlatformsPairCorr
  0.51RGC Regencell Bioscience TrendingPairCorr
  0.46ALVLF Big Ridge GoldPairCorr
  0.43TAK Takeda PharmaceuticalPairCorr
  0.43ASTI Ascent Solar Technol TrendingPairCorr
The ability to find closely correlated positions to Yellow could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Yellow 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 Yellow - 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 Yellow to buy it.
The correlation of Yellow 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 Yellow moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Yellow 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 Yellow 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 Yellow Pink Sheet Analysis

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