Industria Pink Sheet Forecast - 20 Period Moving Average

IDEXF Stock  USD 55.22  0.92  1.64%   
The 20 Period Moving Average forecasted value of Industria de Diseo on the next trading day is expected to be 55.12 with a mean absolute deviation of 1.42 and the sum of the absolute errors of 59.83. Industria Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Industria's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for Industria de Diseo is based on a synthetically constructed Industriadaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Industria 20 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of Industria de Diseo on the next trading day is expected to be 55.12 with a mean absolute deviation of 1.42, mean absolute percentage error of 3.43, and the sum of the absolute errors of 59.83.
Please note that although there have been many attempts to predict Industria 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 Industria's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Industria Pink Sheet Forecast Pattern

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Industria Forecasted Value

In the context of forecasting Industria'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. Industria's downside and upside margins for the forecasting period are 52.78 and 57.45, respectively. We have considered Industria'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
55.22
55.12
Expected Value
57.45
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Industria pink sheet data series using in forecasting. Note that when a statistical model is used to represent Industria 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 Criteria84.4241
BiasArithmetic mean of the errors 0.1426
MADMean absolute deviation1.4245
MAPEMean absolute percentage error0.0254
SAESum of the absolute errors59.827
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Industria de Diseo 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Industria

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Industria de Diseo. 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 Industria'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
52.8855.2257.56
Details
Intrinsic
Valuation
LowRealHigh
52.7155.0557.39
Details
Bollinger
Band Projection (param)
LowMiddleHigh
52.4654.5256.58
Details

Other Forecasting Options for Industria

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

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

Industria de Diseo 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 Industria'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 Industria's current price.

Industria Market Strength Events

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

Industria Risk Indicators

The analysis of Industria'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 Industria's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting industria 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 Industria Pink Sheet

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