Wolford Aktiengesellscha Stock Forecast - 4 Period Moving Average
| WOL Stock | EUR 4.48 0.52 13.13% |
The 4 Period Moving Average forecasted value of Wolford Aktiengesellschaft on the next trading day is expected to be 4.35 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.24. Wolford Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Wolford Aktiengesellscha's historical fundamentals, such as revenue growth or operating cash flow patterns.
Wolford |
Wolford Aktiengesellscha 4 Period Moving Average Price Forecast For the 16th of December 2024
Given 90 days horizon, the 4 Period Moving Average forecasted value of Wolford Aktiengesellschaft on the next trading day is expected to be 4.35 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.08, and the sum of the absolute errors of 9.24.Please note that although there have been many attempts to predict Wolford Stock 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 Wolford Aktiengesellscha's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Wolford Aktiengesellscha Stock Forecast Pattern
| Backtest Wolford Aktiengesellscha | Wolford Aktiengesellscha Price Prediction | Buy or Sell Advice |
Wolford Aktiengesellscha Forecasted Value
In the context of forecasting Wolford Aktiengesellscha's Stock 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. Wolford Aktiengesellscha's downside and upside margins for the forecasting period are 0.04 and 10.44, respectively. We have considered Wolford Aktiengesellscha'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 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Wolford Aktiengesellscha stock data series using in forecasting. Note that when a statistical model is used to represent Wolford Aktiengesellscha stock, 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 | 108.2013 |
| Bias | Arithmetic mean of the errors | -0.0637 |
| MAD | Mean absolute deviation | 0.1621 |
| MAPE | Mean absolute percentage error | 0.051 |
| SAE | Sum of the absolute errors | 9.24 |
Predictive Modules for Wolford Aktiengesellscha
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wolford Aktiengesellscha. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Wolford Aktiengesellscha
For every potential investor in Wolford, whether a beginner or expert, Wolford Aktiengesellscha's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Wolford Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Wolford. Basic forecasting techniques help filter out the noise by identifying Wolford Aktiengesellscha's price trends.Wolford Aktiengesellscha 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 Wolford Aktiengesellscha stock to make a market-neutral strategy. Peer analysis of Wolford Aktiengesellscha could also be used in its relative valuation, which is a method of valuing Wolford Aktiengesellscha by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Wolford Aktiengesellscha Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Wolford Aktiengesellscha'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 Wolford Aktiengesellscha's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Wolford Aktiengesellscha Market Strength Events
Market strength indicators help investors to evaluate how Wolford Aktiengesellscha stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Wolford Aktiengesellscha shares will generate the highest return on investment. By undertsting and applying Wolford Aktiengesellscha stock market strength indicators, traders can identify Wolford Aktiengesellschaft entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.13 | |||
| Day Median Price | 4.48 | |||
| Day Typical Price | 4.48 | |||
| Price Action Indicator | 0.26 | |||
| Period Momentum Indicator | 0.52 |
Wolford Aktiengesellscha Risk Indicators
The analysis of Wolford Aktiengesellscha'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 Wolford Aktiengesellscha's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wolford stock 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 | 3.54 | |||
| Semi Deviation | 3.78 | |||
| Standard Deviation | 6.09 | |||
| Variance | 37.11 | |||
| Downside Variance | 45.88 | |||
| Semi Variance | 14.25 | |||
| Expected Short fall | (7.60) |
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.
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Other Information on Investing in Wolford Stock
Wolford Aktiengesellscha financial ratios help investors to determine whether Wolford Stock 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 Wolford with respect to the benefits of owning Wolford Aktiengesellscha security.