Stag Industrial Stock Forecast - Simple Exponential Smoothing
| SW6 Stock | 32.53 0.40 1.24% |
The Simple Exponential Smoothing forecasted value of Stag Industrial on the next trading day is expected to be 32.52 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 17.04. Stag Stock Forecast is based on your current time horizon.
At this time the value of rsi of Stag Industrial's share price is below 20 . This usually implies that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Stag Industrial hype-based prediction, you can estimate the value of Stag Industrial from the perspective of Stag Industrial response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Stag Industrial on the next trading day is expected to be 32.52 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 17.04. Stag Industrial after-hype prediction price | EUR 32.53 |
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.
Stag |
Stag Industrial Additional Predictive Modules
Most predictive techniques to examine Stag price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Stag using various technical indicators. When you analyze Stag 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 |
Stag Industrial Simple Exponential Smoothing Price Forecast For the 19th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Stag Industrial on the next trading day is expected to be 32.52 with a mean absolute deviation of 0.28, mean absolute percentage error of 0.13, and the sum of the absolute errors of 17.04.Please note that although there have been many attempts to predict Stag 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 Stag Industrial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stag Industrial Stock Forecast Pattern
| Backtest Stag Industrial | Stag Industrial Price Prediction | Buy or Sell Advice |
Stag Industrial Forecasted Value
In the context of forecasting Stag Industrial'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. Stag Industrial's downside and upside margins for the forecasting period are 31.38 and 33.66, respectively. We have considered Stag Industrial'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Stag Industrial stock data series using in forecasting. Note that when a statistical model is used to represent Stag Industrial 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 | 114.25 |
| Bias | Arithmetic mean of the errors | -0.0026 |
| MAD | Mean absolute deviation | 0.2841 |
| MAPE | Mean absolute percentage error | 0.0087 |
| SAE | Sum of the absolute errors | 17.0443 |
Predictive Modules for Stag Industrial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Stag Industrial. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Stag Industrial's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Stag Industrial
For every potential investor in Stag, whether a beginner or expert, Stag Industrial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Stag Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Stag. Basic forecasting techniques help filter out the noise by identifying Stag Industrial's price trends.Stag Industrial 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 Stag Industrial stock to make a market-neutral strategy. Peer analysis of Stag Industrial could also be used in its relative valuation, which is a method of valuing Stag Industrial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Stag Industrial 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 Stag Industrial'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 Stag Industrial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Stag Industrial Market Strength Events
Market strength indicators help investors to evaluate how Stag Industrial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Stag Industrial shares will generate the highest return on investment. By undertsting and applying Stag Industrial stock market strength indicators, traders can identify Stag Industrial entry and exit signals to maximize returns.
Stag Industrial Risk Indicators
The analysis of Stag Industrial'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 Stag Industrial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting stag 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 | 0.9308 | |||
| Semi Deviation | 0.9288 | |||
| Standard Deviation | 1.2 | |||
| Variance | 1.43 | |||
| Downside Variance | 1.15 | |||
| Semi Variance | 0.8627 | |||
| Expected Short fall | (1.01) |
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 Stag Stock Analysis
When running Stag Industrial's price analysis, check to measure Stag Industrial'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 Stag Industrial is operating at the current time. Most of Stag Industrial's value examination focuses on studying past and present price action to predict the probability of Stag Industrial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Stag Industrial's price. Additionally, you may evaluate how the addition of Stag Industrial to your portfolios can decrease your overall portfolio volatility.