Veg Of Stock Forecast - Simple Moving Average
VOLAB Stock | SEK 0.23 0.02 8.00% |
The Simple Moving Average forecasted value of Veg of Lund on the next trading day is expected to be 0.23 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.20. Veg Stock Forecast is based on your current time horizon.
Veg |
Veg Of Simple Moving Average Price Forecast For the 12th of December 2024
Given 90 days horizon, the Simple Moving Average forecasted value of Veg of Lund on the next trading day is expected to be 0.23 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.001, and the sum of the absolute errors of 1.20.Please note that although there have been many attempts to predict Veg 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 Veg Of's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Veg Of Stock Forecast Pattern
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Veg Of Forecasted Value
In the context of forecasting Veg Of'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. Veg Of's downside and upside margins for the forecasting period are 0 and 8.18, respectively. We have considered Veg Of'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Veg Of stock data series using in forecasting. Note that when a statistical model is used to represent Veg Of 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 | 109.331 |
Bias | Arithmetic mean of the errors | 0.0052 |
MAD | Mean absolute deviation | 0.02 |
MAPE | Mean absolute percentage error | 0.0556 |
SAE | Sum of the absolute errors | 1.2 |
Predictive Modules for Veg Of
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Veg of Lund. 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 Veg Of
For every potential investor in Veg, whether a beginner or expert, Veg Of's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Veg Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Veg. Basic forecasting techniques help filter out the noise by identifying Veg Of's price trends.Veg Of 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 Veg Of stock to make a market-neutral strategy. Peer analysis of Veg Of could also be used in its relative valuation, which is a method of valuing Veg Of by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Veg of Lund 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 Veg Of'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 Veg Of's current price.Cycle Indicators | ||
Math Operators | ||
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Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
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Volume Indicators |
Veg Of Market Strength Events
Market strength indicators help investors to evaluate how Veg Of stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Veg Of shares will generate the highest return on investment. By undertsting and applying Veg Of stock market strength indicators, traders can identify Veg of Lund entry and exit signals to maximize returns.
Veg Of Risk Indicators
The analysis of Veg Of'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 Veg Of's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting veg 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 | 5.54 | |||
Standard Deviation | 9.72 | |||
Variance | 94.45 |
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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Additional Tools for Veg Stock Analysis
When running Veg Of's price analysis, check to measure Veg Of'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 Veg Of is operating at the current time. Most of Veg Of's value examination focuses on studying past and present price action to predict the probability of Veg Of's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Veg Of's price. Additionally, you may evaluate how the addition of Veg Of to your portfolios can decrease your overall portfolio volatility.