RWE AG Pink Sheet Forecast - Naive Prediction

RWEOY Stock  USD 33.63  0.75  2.28%   
The Naive Prediction forecasted value of RWE AG PK on the next trading day is expected to be 32.84 with a mean absolute deviation of 0.45 and the sum of the absolute errors of 27.16. RWE Pink Sheet Forecast is based on your current time horizon.
  
A naive forecasting model for RWE AG is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of RWE AG PK value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

RWE AG Naive Prediction Price Forecast For the 2nd of December

Given 90 days horizon, the Naive Prediction forecasted value of RWE AG PK on the next trading day is expected to be 32.84 with a mean absolute deviation of 0.45, mean absolute percentage error of 0.32, and the sum of the absolute errors of 27.16.
Please note that although there have been many attempts to predict RWE 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 RWE AG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

RWE AG Pink Sheet Forecast Pattern

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RWE AG Forecasted Value

In the context of forecasting RWE AG'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. RWE AG's downside and upside margins for the forecasting period are 31.37 and 34.30, respectively. We have considered RWE AG'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
33.63
32.84
Expected Value
34.30
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of RWE AG pink sheet data series using in forecasting. Note that when a statistical model is used to represent RWE AG 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 Criteria116.9627
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4453
MAPEMean absolute percentage error0.0131
SAESum of the absolute errors27.1603
This model is not at all useful as a medium-long range forecasting tool of RWE AG PK. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict RWE AG. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for RWE AG

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as RWE AG PK. 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
32.1733.6335.09
Details
Intrinsic
Valuation
LowRealHigh
32.6034.0635.52
Details
Bollinger
Band Projection (param)
LowMiddleHigh
31.7132.9434.16
Details

Other Forecasting Options for RWE AG

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

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

RWE AG PK 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 RWE AG'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 RWE AG's current price.

RWE AG Market Strength Events

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

RWE AG Risk Indicators

The analysis of RWE AG'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 RWE AG's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting rwe 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for RWE Pink Sheet Analysis

When running RWE AG's price analysis, check to measure RWE AG's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy RWE AG is operating at the current time. Most of RWE AG's value examination focuses on studying past and present price action to predict the probability of RWE AG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move RWE AG's price. Additionally, you may evaluate how the addition of RWE AG to your portfolios can decrease your overall portfolio volatility.