Weir Group Pink Sheet Forecast - 20 Period Moving Average

WEIGF Stock  USD 27.05  0.00  0.00%   
The 20 Period Moving Average forecasted value of The Weir Group on the next trading day is expected to be 27.05 with a mean absolute deviation of 0.95 and the sum of the absolute errors of 39.03. Weir Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Weir Group's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for The Weir Group is based on a synthetically constructed Weir Groupdaily 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.

Weir Group 20 Period Moving Average Price Forecast For the 5th of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of The Weir Group on the next trading day is expected to be 27.05 with a mean absolute deviation of 0.95, mean absolute percentage error of 1.68, and the sum of the absolute errors of 39.03.
Please note that although there have been many attempts to predict Weir 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 Weir Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Weir Group Pink Sheet Forecast Pattern

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Weir Group Forecasted Value

In the context of forecasting Weir Group'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. Weir Group's downside and upside margins for the forecasting period are 25.10 and 29.00, respectively. We have considered Weir Group'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
27.05
27.05
Expected Value
29.00
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 Weir Group pink sheet data series using in forecasting. Note that when a statistical model is used to represent Weir Group 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 Criteria81.8717
BiasArithmetic mean of the errors 0.392
MADMean absolute deviation0.9518
MAPEMean absolute percentage error0.0345
SAESum of the absolute errors39.025
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. Weir Group 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Weir Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Weir Group. 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
25.1027.0529.00
Details
Intrinsic
Valuation
LowRealHigh
25.3527.2929.24
Details
Bollinger
Band Projection (param)
LowMiddleHigh
27.1327.1327.13
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Weir Group. Your research has to be compared to or analyzed against Weir Group's peers to derive any actionable benefits. When done correctly, Weir Group's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Weir Group.

Other Forecasting Options for Weir Group

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

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

Weir Group 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 Weir Group'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 Weir Group's current price.

Weir Group Market Strength Events

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

Weir Group Risk Indicators

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

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