Tomra Systems Stock Forecast - 8 Period Moving Average
| TOM Stock | NOK 141.60 0.10 0.07% |
The 8 Period Moving Average forecasted value of Tomra Systems ASA on the next trading day is expected to be 144.53 with a mean absolute deviation of 3.71 and the sum of the absolute errors of 200.10. Tomra Stock Forecast is based on your current time horizon.
Tomra |
Tomra Systems 8 Period Moving Average Price Forecast For the 24th of November
Given 90 days horizon, the 8 Period Moving Average forecasted value of Tomra Systems ASA on the next trading day is expected to be 144.53 with a mean absolute deviation of 3.71, mean absolute percentage error of 21.42, and the sum of the absolute errors of 200.10.Please note that although there have been many attempts to predict Tomra 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 Tomra Systems' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Tomra Systems Stock Forecast Pattern
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Tomra Systems Forecasted Value
In the context of forecasting Tomra Systems' 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. Tomra Systems' downside and upside margins for the forecasting period are 142.47 and 146.58, respectively. We have considered Tomra Systems' 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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Tomra Systems stock data series using in forecasting. Note that when a statistical model is used to represent Tomra Systems 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 | 108.3095 |
| Bias | Arithmetic mean of the errors | 0.9954 |
| MAD | Mean absolute deviation | 3.7056 |
| MAPE | Mean absolute percentage error | 0.0244 |
| SAE | Sum of the absolute errors | 200.1 |
Predictive Modules for Tomra Systems
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Tomra Systems ASA. 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 Tomra Systems
For every potential investor in Tomra, whether a beginner or expert, Tomra Systems' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Tomra Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Tomra. Basic forecasting techniques help filter out the noise by identifying Tomra Systems' price trends.Tomra Systems 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 Tomra Systems stock to make a market-neutral strategy. Peer analysis of Tomra Systems could also be used in its relative valuation, which is a method of valuing Tomra Systems by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Tomra Systems ASA 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 Tomra Systems' 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 Tomra Systems' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Tomra Systems Market Strength Events
Market strength indicators help investors to evaluate how Tomra Systems stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Tomra Systems shares will generate the highest return on investment. By undertsting and applying Tomra Systems stock market strength indicators, traders can identify Tomra Systems ASA entry and exit signals to maximize returns.
| Accumulation Distribution | 11003.46 | |||
| Daily Balance Of Power | (0.03) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 143.15 | |||
| Day Typical Price | 142.63 | |||
| Price Action Indicator | (1.60) | |||
| Period Momentum Indicator | (0.10) | |||
| Relative Strength Index | 86.91 |
Tomra Systems Risk Indicators
The analysis of Tomra Systems' 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 Tomra Systems' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tomra 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 | 1.65 | |||
| Standard Deviation | 2.05 | |||
| Variance | 4.19 |
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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Tomra Systems financial ratios help investors to determine whether Tomra 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 Tomra with respect to the benefits of owning Tomra Systems security.