Logistic Properties Of Stock Price Prediction
LPA Stock | 6.16 0.06 0.96% |
Oversold Vs Overbought
33
Oversold | Overbought |
Using Logistic Properties hype-based prediction, you can estimate the value of Logistic Properties of from the perspective of Logistic Properties response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Logistic Properties to buy its stock at a price that has no basis in reality. In that case, they are not buying Logistic 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.
Logistic Properties after-hype prediction price | USD 6.21 |
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.
Logistic |
Logistic Properties After-Hype Price Prediction Density Analysis
As far as predicting the price of Logistic Properties 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 Logistic Properties 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 Logistic Properties, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
Logistic Properties Estimiated After-Hype Price Volatility
In the context of predicting Logistic Properties' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Logistic Properties' historical news coverage. Logistic Properties' after-hype downside and upside margins for the prediction period are 2.54 and 9.88, respectively. We have considered Logistic Properties' 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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Logistic Properties is slightly risky at this time. Analysis and calculation of next after-hype price of Logistic Properties is based on 3 months time horizon.
Logistic Properties Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Logistic Properties is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Logistic Properties 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 Logistic Properties, 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 |
0.77 | 3.67 | 0.05 | 0.11 | 1 Events / Month | 7 Events / Month | Very soon |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
6.16 | 6.21 | 0.81 |
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Logistic Properties Hype Timeline
On the 23rd of November Logistic Properties is traded for 6.16. The entity has historical hype elasticity of 0.05, and average elasticity to hype of competition of -0.11. Logistic is projected to increase in value after the next headline, with the price projected to jump to 6.21 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is forecasted to be 0.81%, whereas the daily expected return is now at -0.77%. The volatility of related hype on Logistic Properties is about 2467.23%, with the expected price after the next announcement by competition of 6.05. The company reported the last year's revenue of 39.44 M. Total Income to common stockholders was 7.16 M with profit before taxes, overhead, and interest of 0. Considering the 90-day investment horizon the next projected press release will be very soon. Check out Logistic Properties Basic Forecasting Models to cross-verify your projections.Logistic Properties Related Hype Analysis
Having access to credible news sources related to Logistic Properties' direct competition is more important than ever and may enhance your ability to predict Logistic Properties' future price movements. Getting to know how Logistic Properties' 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 Logistic Properties may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
BNL | Broadstone Net Lease | (0.19) | 8 per month | 0.00 | (0.17) | 1.59 | (1.71) | 5.03 | |
AHH | Armada Hflr Pr | 0.03 | 8 per month | 0.00 | (0.13) | 1.63 | (1.74) | 11.25 | |
BRSP | Brightspire Capital | 0.03 | 8 per month | 1.44 | 0.04 | 3.10 | (2.74) | 22.56 | |
SAFE | Safehold | (0.72) | 11 per month | 0.00 | (0.17) | 2.70 | (3.71) | 10.10 | |
EPRT | Essential Properties Realty | 0.17 | 9 per month | 0.92 | (0) | 1.67 | (1.77) | 4.84 | |
CTO | CTO Realty Growth | 0.22 | 8 per month | 2.18 | 0.01 | 2.27 | (1.39) | 19.07 | |
GOOD | Gladstone Commercial | 0.13 | 10 per month | 0.60 | 0.12 | 1.94 | (1.58) | 8.00 | |
WPC | W P Carey | (0.86) | 10 per month | 0.00 | (0.15) | 1.73 | (1.57) | 4.41 |
Logistic Properties Additional Predictive Modules
Most predictive techniques to examine Logistic price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Logistic using various technical indicators. When you analyze Logistic 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 Logistic Properties Predictive Indicators
The successful prediction of Logistic Properties 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 Logistic Properties of, 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 Logistic Properties based on analysis of Logistic Properties hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Logistic Properties's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Logistic Properties's related companies. 2021 | 2023 | 2024 (projected) | Days Sales Outstanding | 27.59 | 31.73 | 33.89 | PTB Ratio | 13.04 | 2.28 | 2.17 |
Story Coverage note for Logistic Properties
The number of cover stories for Logistic Properties depends on current market conditions and Logistic Properties' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Logistic Properties is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Logistic Properties' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Logistic Properties Short Properties
Logistic Properties' future price predictability will typically decrease when Logistic Properties' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Logistic Properties of often depends not only on the future outlook of the potential Logistic Properties' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Logistic Properties' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 31.7 M | |
Cash And Short Term Investments | 35.2 M |
Complementary Tools for Logistic Stock analysis
When running Logistic Properties' price analysis, check to measure Logistic Properties' 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 Logistic Properties is operating at the current time. Most of Logistic Properties' value examination focuses on studying past and present price action to predict the probability of Logistic Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Logistic Properties' price. Additionally, you may evaluate how the addition of Logistic Properties to your portfolios can decrease your overall portfolio volatility.
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