STAG Industrial, Stock Forecast - 20 Period Moving Average
| S2TA34 Stock | 41.55 0.94 2.31% |
STAG |
STAG Industrial, 20 Period Moving Average Price Forecast For the 6th of January
Given 90 days horizon, the 20 Period Moving Average forecasted value of STAG Industrial, on the next trading day is expected to be 42.61 with a mean absolute deviation of 0.78, mean absolute percentage error of 0.97, and the sum of the absolute errors of 32.15.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
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 40.93 and 44.29, 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 20 Period Moving Average 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 | 81.322 |
| Bias | Arithmetic mean of the errors | 0.1043 |
| MAD | Mean absolute deviation | 0.7842 |
| MAPE | Mean absolute percentage error | 0.0185 |
| SAE | Sum of the absolute errors | 32.153 |
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.Please note, it is not enough to conduct a financial or market analysis of a single entity such as STAG Industrial,. Your research has to be compared to or analyzed against STAG Industrial,'s peers to derive any actionable benefits. When done correctly, STAG Industrial,'s competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in STAG Industrial,.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 | 1.3 | |||
| Semi Deviation | 1.89 | |||
| Standard Deviation | 1.69 | |||
| Variance | 2.87 | |||
| Downside Variance | 4.29 | |||
| Semi Variance | 3.58 | |||
| Expected Short fall | (1.20) |
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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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.| S | SentinelOne | |
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