Grand City Pink Sheet Forecast - 4 Period Moving Average

GRNNF Stock  USD 12.09  0.00  0.00%   
The 4 Period Moving Average forecasted value of Grand City Properties on the next trading day is expected to be 12.09 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 3.76. Grand Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Grand City's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Grand City Properties 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.

Grand City 4 Period Moving Average Price Forecast For the 5th of February

Given 90 days horizon, the 4 Period Moving Average forecasted value of Grand City Properties on the next trading day is expected to be 12.09 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.05, and the sum of the absolute errors of 3.76.
Please note that although there have been many attempts to predict Grand 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 Grand City's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Grand City Pink Sheet Forecast Pattern

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Grand City Forecasted Value

In the context of forecasting Grand City'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. Grand City's downside and upside margins for the forecasting period are 11.05 and 13.13, respectively. We have considered Grand City'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
12.09
12.09
Expected Value
13.13
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 Grand City pink sheet data series using in forecasting. Note that when a statistical model is used to represent Grand City 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 Criteria107.686
BiasArithmetic mean of the errors 0.066
MADMean absolute deviation0.066
MAPEMean absolute percentage error0.0053
SAESum of the absolute errors3.76
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 Grand City. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Grand City Properties and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Grand City

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Grand City Properties. 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.
Hype
Prediction
LowEstimatedHigh
11.0512.0913.13
Details
Intrinsic
Valuation
LowRealHigh
11.5312.5713.61
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.0912.0912.09
Details

Other Forecasting Options for Grand City

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

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

Grand City Properties 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 Grand City'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 Grand City's current price.

Grand City Market Strength Events

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

Grand City Risk Indicators

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

Currently Active Assets on Macroaxis

Other Information on Investing in Grand Pink Sheet

Grand City financial ratios help investors to determine whether Grand 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 Grand with respect to the benefits of owning Grand City security.