Gncc Capital Pink Sheet Forecast - Double Exponential Smoothing

GNCP Stock  USD 0.0001  0.00  0.00%   
The Double Exponential Smoothing forecasted value of Gncc Capital on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000169 and the sum of the absolute errors of 0.0001. Gncc Pink Sheet Forecast is based on your current time horizon.
  
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 Gncc Capital works best with periods where there are trends or seasonality.

Gncc Capital Double Exponential Smoothing Price Forecast For the 24th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Gncc Capital on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000169, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0001.
Please note that although there have been many attempts to predict Gncc 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 Gncc Capital's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Gncc Capital Pink Sheet Forecast Pattern

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Gncc Capital Forecasted Value

In the context of forecasting Gncc Capital'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. Gncc Capital's downside and upside margins for the forecasting period are 0.000001 and 124.03, respectively. We have considered Gncc Capital'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
0.0001
0.000001
Downside
0.0001
Expected Value
124.03
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 Gncc Capital pink sheet data series using in forecasting. Note that when a statistical model is used to represent Gncc Capital 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 error0.0
SAESum of the absolute errors1.0E-4
When Gncc Capital 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 Gncc Capital 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 Gncc Capital observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Gncc Capital

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gncc Capital. 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 Gncc Capital'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
0.000.000150.01
Details
Intrinsic
Valuation
LowRealHigh
0.000.00006350.01
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00010.00010.0001
Details

Other Forecasting Options for Gncc Capital

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

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

Gncc Capital 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 Gncc Capital'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 Gncc Capital's current price.

Gncc Capital Market Strength Events

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

Pair Trading with Gncc Capital

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

Moving against Gncc Pink Sheet

  0.78BKRKY Bank RakyatPairCorr
  0.69PPERY Bank Mandiri PerseroPairCorr
  0.69BKRKF PT Bank RakyatPairCorr
  0.68PPERF Bank Mandiri PerseroPairCorr
  0.65SHG Shinhan FinancialPairCorr
The ability to find closely correlated positions to Gncc Capital could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Gncc Capital 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 Gncc Capital - 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 Gncc Capital to buy it.
The correlation of Gncc Capital 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 Gncc Capital moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Gncc Capital 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 Gncc Capital 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 Gncc Pink Sheet Analysis

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