Rheinmetall Pink Sheet Forecast - Polynomial Regression
| RNMBF Stock | USD 659.00 4.08 0.62% |
The Polynomial Regression forecasted value of Rheinmetall AG on the next trading day is expected to be 697.43 with a mean absolute deviation of 15.75 and the sum of the absolute errors of 960.56. Rheinmetall Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Rheinmetall's historical fundamentals, such as revenue growth or operating cash flow patterns.
Rheinmetall |
Rheinmetall Polynomial Regression Price Forecast For the 4th of December
Given 90 days horizon, the Polynomial Regression forecasted value of Rheinmetall AG on the next trading day is expected to be 697.43 with a mean absolute deviation of 15.75, mean absolute percentage error of 373.04, and the sum of the absolute errors of 960.56.Please note that although there have been many attempts to predict Rheinmetall 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 Rheinmetall's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Rheinmetall Pink Sheet Forecast Pattern
| Backtest Rheinmetall | Rheinmetall Price Prediction | Buy or Sell Advice |
Rheinmetall Forecasted Value
In the context of forecasting Rheinmetall'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. Rheinmetall's downside and upside margins for the forecasting period are 694.52 and 700.35, respectively. We have considered Rheinmetall'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.
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 Rheinmetall pink sheet data series using in forecasting. Note that when a statistical model is used to represent Rheinmetall 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.| AIC | Akaike Information Criteria | 124.0322 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 15.7469 |
| MAPE | Mean absolute percentage error | 0.0282 |
| SAE | Sum of the absolute errors | 960.5607 |
Predictive Modules for Rheinmetall
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Rheinmetall AG. 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.Other Forecasting Options for Rheinmetall
For every potential investor in Rheinmetall, whether a beginner or expert, Rheinmetall's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Rheinmetall Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Rheinmetall. Basic forecasting techniques help filter out the noise by identifying Rheinmetall's price trends.View Rheinmetall Related Equities
| Risk & Return | Correlation |
Rheinmetall AG 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 Rheinmetall'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 Rheinmetall's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Rheinmetall Market Strength Events
Market strength indicators help investors to evaluate how Rheinmetall 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 Rheinmetall shares will generate the highest return on investment. By undertsting and applying Rheinmetall pink sheet market strength indicators, traders can identify Rheinmetall AG entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0287 | |||
| Daily Balance Of Power | (0.21) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 664.27 | |||
| Day Typical Price | 662.51 | |||
| Market Facilitation Index | 19.36 | |||
| Price Action Indicator | (7.31) | |||
| Period Momentum Indicator | (4.08) |
Rheinmetall Risk Indicators
The analysis of Rheinmetall'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 Rheinmetall's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting rheinmetall 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.
| Mean Deviation | 2.04 | |||
| Semi Deviation | 2.16 | |||
| Standard Deviation | 2.89 | |||
| Variance | 8.33 | |||
| Downside Variance | 6.4 | |||
| Semi Variance | 4.67 | |||
| Expected Short fall | (2.51) |
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 Rheinmetall Pink Sheet
Rheinmetall financial ratios help investors to determine whether Rheinmetall 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 Rheinmetall with respect to the benefits of owning Rheinmetall security.