Stag Industrial Stock Price Patterns
| STAG Stock | USD 39.40 0.30 0.77% |
Momentum 37
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.132 | EPS Estimate Next Quarter 0.23 | EPS Estimate Current Year 1.217 | EPS Estimate Next Year 1.0203 | Wall Street Target Price 40.9091 |
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. We also analyze overall investor sentiment towards STAG Industrial using STAG Industrial's stock options and short interest. It helps to benchmark the overall future attitude of investors towards STAG using crowd psychology based on the activity and movement of STAG Industrial's stock price.
STAG Industrial Short Interest
A significant increase or decrease in STAG Industrial's short interest from the previous month could be a good indicator of investor sentiment towards STAG. Short interest can provide insight into the potential direction of STAG Industrial stock and how bullish or bearish investors feel about the market overall.
200 Day MA 36.4917 | Short Percent 0.0384 | Short Ratio 3.74 | Shares Short Prior Month 5 M | 50 Day MA 37.801 |
STAG Industrial Hype to Price Pattern
Investor biases related to STAG Industrial's public news can be used to forecast risks associated with an investment in STAG. The trend in average sentiment can be used to explain how an investor holding STAG can time the market purely based on public headlines and social activities around STAG Industrial. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of STAG Industrial's market sentiment to its price can help taders to make decisions based on the overall investors consensus about STAG Industrial.
STAG Industrial Implied Volatility | 0.77 |
STAG Industrial's implied volatility exposes the market's sentiment of STAG Industrial stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if STAG Industrial's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that STAG Industrial stock will not fluctuate a lot when STAG Industrial's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in STAG Industrial to buy its stock at a price that has no basis in reality. In that case, they are not buying STAG because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
STAG Industrial after-hype prediction price | USD 39.41 |
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.
Prediction based on Rule 16 of the current STAG contract
Based on the Rule 16, the options market is currently suggesting that STAG Industrial will have an average daily up or down price movement of about 0.0481% per day over the life of the 2026-03-20 option contract. With STAG Industrial trading at USD 39.4, that is roughly USD 0.019 . If you think that the market is fully incorporating STAG Industrial's daily price movement you should consider acquiring STAG Industrial options at the current volatility level of 0.77%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Check out STAG Industrial Basic Forecasting Models to cross-verify your projections. STAG Industrial After-Hype Price Density Analysis
As far as predicting the price of STAG Industrial at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in STAG Industrial or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of STAG Industrial, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
STAG Industrial Estimiated After-Hype Price Volatility
In the context of predicting STAG Industrial's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on STAG Industrial's historical news coverage. STAG Industrial's after-hype downside and upside margins for the prediction period are 38.49 and 40.33, respectively. We have considered STAG Industrial's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
STAG Industrial is very steady at this time. Analysis and calculation of next after-hype price of STAG Industrial is based on 3 months time horizon.
STAG Industrial Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as STAG Industrial is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading STAG Industrial backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with STAG Industrial, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.03 | 0.92 | 0.01 | 0.00 | 6 Events / Month | 6 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
39.40 | 39.41 | 0.03 |
|
STAG Industrial Hype Timeline
STAG Industrial is at this time traded for 39.40. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of 0.0. STAG is forecasted to increase in value after the next headline, with the price projected to jump to 39.41 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is projected to be 0.03%, whereas the daily expected return is at this time at 0.03%. The volatility of related hype on STAG Industrial is about 1051.43%, with the expected price after the next announcement by competition of 39.40. The company reported the previous year's revenue of 767.38 M. Net Income was 189.22 M with profit before overhead, payroll, taxes, and interest of 657.1 M. Given the investment horizon of 90 days the next forecasted press release will be in about 6 days. Check out STAG Industrial Basic Forecasting Models to cross-verify your projections.STAG Industrial Related Hype Analysis
Having access to credible news sources related to STAG Industrial's direct competition is more important than ever and may enhance your ability to predict STAG Industrial's future price movements. Getting to know how STAG Industrial's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how STAG Industrial may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FR | First Industrial Realty | (0.51) | 9 per month | 0.74 | 0.05 | 2.08 | (1.43) | 4.65 | |
| TRNO | Terreno Realty | (0.07) | 10 per month | 0.87 | 0.11 | 2.49 | (1.77) | 5.89 | |
| VNO | Vornado Realty Trust | 0.07 | 11 per month | 0.00 | (0.17) | 2.88 | (2.94) | 9.73 | |
| STWD | Starwood Property Trust | 0.13 | 11 per month | 0.91 | (0.04) | 1.81 | (1.46) | 4.49 | |
| CTRE | CareTrust REIT | (0.11) | 5 per month | 1.05 | 0.08 | 1.65 | (2.27) | 4.38 | |
| REXR | Rexford Industrial Realty | 0.27 | 11 per month | 0.00 | (0.1) | 2.30 | (1.96) | 9.72 | |
| EPRT | Essential Properties Realty | 0.43 | 6 per month | 1.00 | 0.01 | 1.90 | (1.71) | 4.72 | |
| EGP | EastGroup Properties | (0.91) | 10 per month | 0.73 | 0.04 | 1.97 | (1.34) | 4.78 |
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 |
About STAG Industrial Predictive Indicators
The successful prediction of STAG Industrial stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as STAG Industrial, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of STAG Industrial based on analysis of STAG Industrial hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to STAG Industrial's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to STAG Industrial's related companies. | 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0378 | 0.0446 | 0.0513 | 0.0623 | Price To Sales Ratio | 10.0 | 8.03 | 7.23 | 6.33 |
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Complementary 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.
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