Rand Worldwide Pink Sheet Forecast - Polynomial Regression

RWWI Stock  USD 14.98  0.48  3.31%   
The Polynomial Regression forecasted value of Rand Worldwide on the next trading day is expected to be 14.79 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 14.35. Rand Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Rand Worldwide's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Rand Worldwide polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Rand Worldwide as well as the accuracy indicators are determined from the period prices.

Rand Worldwide Polynomial Regression Price Forecast For the 26th of July

Given 90 days horizon, the Polynomial Regression forecasted value of Rand Worldwide on the next trading day is expected to be 14.79 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.09, and the sum of the absolute errors of 14.35.
Please note that although there have been many attempts to predict Rand 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 Rand Worldwide's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Rand Worldwide Pink Sheet Forecast Pattern

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Rand Worldwide Forecasted Value

In the context of forecasting Rand Worldwide'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. Rand Worldwide's downside and upside margins for the forecasting period are 12.37 and 17.21, respectively. We have considered Rand Worldwide'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
14.98
14.79
Expected Value
17.21
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Rand Worldwide pink sheet data series using in forecasting. Note that when a statistical model is used to represent Rand Worldwide 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 Criteria117.4864
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2314
MAPEMean absolute percentage error0.0153
SAESum of the absolute errors14.3454
A single variable polynomial regression model attempts to put a curve through the Rand Worldwide historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Rand Worldwide

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Rand Worldwide. 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 Rand Worldwide'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
12.5614.9817.40
Details
Intrinsic
Valuation
LowRealHigh
10.2712.6915.11
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.2714.7315.19
Details

Other Forecasting Options for Rand Worldwide

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

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

Rand Worldwide 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 Rand Worldwide'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 Rand Worldwide's current price.

Rand Worldwide Market Strength Events

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

Rand Worldwide Risk Indicators

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

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