Consolidated Eco-Systems Pink Sheet Forecast - 4 Period Moving Average

EXSO Stock  USD 0.0001  0.00  0.00%   
The 4 Period Moving Average forecasted value of Consolidated Eco Systems on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000439 and the sum of the absolute errors of 0.0003. Consolidated Pink Sheet Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Consolidated Eco Systems is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Consolidated Eco-Systems 4 Period Moving Average Price Forecast For the 29th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Consolidated Eco Systems on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.00000439, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0003.
Please note that although there have been many attempts to predict Consolidated 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 Consolidated Eco-Systems' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Consolidated Eco-Systems Pink Sheet Forecast Pattern

Backtest Consolidated Eco-SystemsConsolidated Eco-Systems Price PredictionBuy or Sell Advice 

Consolidated Eco-Systems Forecasted Value

In the context of forecasting Consolidated Eco-Systems' 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. Consolidated Eco-Systems' downside and upside margins for the forecasting period are 0.000001 and 125.99, respectively. We have considered Consolidated Eco-Systems' 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
125.99
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Consolidated Eco-Systems pink sheet data series using in forecasting. Note that when a statistical model is used to represent Consolidated Eco-Systems 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 Criteria88.9239
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors3.0E-4
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Consolidated Eco-Systems. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Consolidated Eco Systems and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Consolidated Eco-Systems

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

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

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

Consolidated Eco Systems 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 Consolidated Eco-Systems' 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 Consolidated Eco-Systems' current price.

Consolidated Eco-Systems Market Strength Events

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

Pair Trading with Consolidated Eco-Systems

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 Consolidated Eco-Systems 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 Consolidated Eco-Systems will appreciate offsetting losses from the drop in the long position's value.

Moving together with Consolidated Pink Sheet

  0.74WM Waste ManagementPairCorr

Moving against Consolidated Pink Sheet

  0.81TMRAF Tomra Systems ASAPairCorr
  0.69VEOEY Veolia EnvironnementPairCorr
  0.67TMRAY Tomra Systems ASAPairCorr
  0.66BKLRF Berkeley EnergyPairCorr
  0.61VEOEF Veolia EnvironnementPairCorr
The ability to find closely correlated positions to Consolidated Eco-Systems could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Consolidated Eco-Systems 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 Consolidated Eco-Systems - 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 Consolidated Eco Systems to buy it.
The correlation of Consolidated Eco-Systems 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 Consolidated Eco-Systems moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Consolidated Eco Systems 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 Consolidated Eco-Systems 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

Other Information on Investing in Consolidated Pink Sheet

Consolidated Eco-Systems financial ratios help investors to determine whether Consolidated 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 Consolidated with respect to the benefits of owning Consolidated Eco-Systems security.