Orell Fuessli Stock Forecast - Naive Prediction
| OFN Stock | CHF 118.50 1.00 0.84% |
The Naive Prediction forecasted value of Orell Fuessli Holding on the next trading day is expected to be 118.40 with a mean absolute deviation of 0.83 and the sum of the absolute errors of 50.33. Orell Stock Forecast is based on your current time horizon.
The value of RSI of Orell Fuessli's stock price is slightly above 63. This indicates that the stock is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Orell, making its price go up or down. Momentum 63
Buy Extended
Oversold | Overbought |
Using Orell Fuessli hype-based prediction, you can estimate the value of Orell Fuessli Holding from the perspective of Orell Fuessli response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Orell Fuessli Holding on the next trading day is expected to be 118.40 with a mean absolute deviation of 0.83 and the sum of the absolute errors of 50.33. Orell Fuessli after-hype prediction price | CHF 118.5 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Orell |
Orell Fuessli Additional Predictive Modules
Most predictive techniques to examine Orell price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Orell using various technical indicators. When you analyze Orell charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Orell Fuessli Naive Prediction Price Forecast For the 19th of January
Given 90 days horizon, the Naive Prediction forecasted value of Orell Fuessli Holding on the next trading day is expected to be 118.40 with a mean absolute deviation of 0.83, mean absolute percentage error of 1.15, and the sum of the absolute errors of 50.33.Please note that although there have been many attempts to predict Orell 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 Orell Fuessli's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Orell Fuessli Stock Forecast Pattern
| Backtest Orell Fuessli | Orell Fuessli Price Prediction | Buy or Sell Advice |
Orell Fuessli Forecasted Value
In the context of forecasting Orell Fuessli'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. Orell Fuessli's downside and upside margins for the forecasting period are 117.54 and 119.25, respectively. We have considered Orell Fuessli'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Orell Fuessli stock data series using in forecasting. Note that when a statistical model is used to represent Orell Fuessli 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 | 118.2477 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.825 |
| MAPE | Mean absolute percentage error | 0.0071 |
| SAE | Sum of the absolute errors | 50.3268 |
Predictive Modules for Orell Fuessli
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Orell Fuessli Holding. 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 Orell Fuessli
For every potential investor in Orell, whether a beginner or expert, Orell Fuessli's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Orell Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Orell. Basic forecasting techniques help filter out the noise by identifying Orell Fuessli's price trends.Orell Fuessli 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 Orell Fuessli stock to make a market-neutral strategy. Peer analysis of Orell Fuessli could also be used in its relative valuation, which is a method of valuing Orell Fuessli by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Orell Fuessli Holding 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 Orell Fuessli'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 Orell Fuessli's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Orell Fuessli Market Strength Events
Market strength indicators help investors to evaluate how Orell Fuessli stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Orell Fuessli shares will generate the highest return on investment. By undertsting and applying Orell Fuessli stock market strength indicators, traders can identify Orell Fuessli Holding entry and exit signals to maximize returns.
Orell Fuessli Risk Indicators
The analysis of Orell Fuessli'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 Orell Fuessli's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting orell 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 | 0.5875 | |||
| Semi Deviation | 0.6311 | |||
| Standard Deviation | 0.8439 | |||
| Variance | 0.7122 | |||
| Downside Variance | 0.9639 | |||
| Semi Variance | 0.3982 | |||
| Expected Short fall | (0.93) |
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 Orell Stock Analysis
When running Orell Fuessli's price analysis, check to measure Orell Fuessli'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 Orell Fuessli is operating at the current time. Most of Orell Fuessli's value examination focuses on studying past and present price action to predict the probability of Orell Fuessli's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Orell Fuessli's price. Additionally, you may evaluate how the addition of Orell Fuessli to your portfolios can decrease your overall portfolio volatility.