New York Mortgage Stock Price Patterns
| ADAM Stock | 8.02 0.08 1.01% |
Momentum 65
Buy Extended
Oversold | Overbought |
Using New York hype-based prediction, you can estimate the value of New York Mortgage from the perspective of New York response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards New York using New York's stock options and short interest. It helps to benchmark the overall future attitude of investors towards New using crowd psychology based on the activity and movement of New York's stock price.
New York Implied Volatility | 1.09 |
New York's implied volatility exposes the market's sentiment of New York Mortgage stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if New York'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 New York stock will not fluctuate a lot when New York's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in New York to buy its stock at a price that has no basis in reality. In that case, they are not buying New 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.
New York after-hype prediction price | USD 8.07 |
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.
Check out New York Basic Forecasting Models to cross-verify your projections. New York After-Hype Price Density Analysis
As far as predicting the price of New York 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 New York 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 New York, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
New York Estimiated After-Hype Price Volatility
In the context of predicting New York's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on New York's historical news coverage. New York's after-hype downside and upside margins for the prediction period are 6.20 and 9.94, respectively. We have considered New York'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
New York is not too volatile at this time. Analysis and calculation of next after-hype price of New York Mortgage is based on 3 months time horizon.
New York Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as New York is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading New York 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 New York, 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 |
0.27 | 1.87 | 0.05 | 0.02 | 9 Events / Month | 5 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
8.02 | 8.07 | 0.62 |
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New York Hype Timeline
New York Mortgage is presently traded for 8.02. The entity has historical hype elasticity of 0.05, and average elasticity to hype of competition of 0.02. New is forecasted to increase in value after the next headline, with the price projected to jump to 8.07 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is projected to be 0.62%, whereas the daily expected return is presently at 0.27%. The volatility of related hype on New York is about 2671.43%, with the expected price after the next announcement by competition of 8.04. The company reported the previous year's revenue of 558.92 M. Net Loss for the year was (93.95 M) with profit before overhead, payroll, taxes, and interest of 0. Given the investment horizon of 90 days the next forecasted press release will be in about 9 days. Check out New York Basic Forecasting Models to cross-verify your projections.New York Related Hype Analysis
Having access to credible news sources related to New York's direct competition is more important than ever and may enhance your ability to predict New York's future price movements. Getting to know how New York'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 New York may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TRTX | TPG RE Finance | 0.05 | 10 per month | 1.07 | 0.06 | 1.54 | (1.65) | 6.77 | |
| MITT | AG Mortgage Investment | (0.01) | 5 per month | 1.05 | 0.19 | 2.80 | (1.38) | 10.88 | |
| IVR | Invesco Mortgage Capital | (0.06) | 10 per month | 0.90 | 0.19 | 2.36 | (1.89) | 8.51 | |
| RC | Ready Capital Corp | (0.06) | 9 per month | 0.00 | (0.18) | 5.19 | (4.92) | 14.40 | |
| KREF | KKR Real Estate | 0.32 | 8 per month | 0.00 | (0.03) | 2.66 | (2.95) | 6.97 | |
| SACH | Sachem Capital Corp | 0.01 | 6 per month | 1.98 | 0 | 3.00 | (4.67) | 13.97 | |
| CIM | Chimera Investment | 0.07 | 6 per month | 2.14 | (0.02) | 2.51 | (1.93) | 10.81 | |
| NREF | Nexpoint Real Estate | 0.24 | 9 per month | 1.03 | 0.15 | 2.44 | (1.51) | 8.26 |
New York Additional Predictive Modules
Most predictive techniques to examine New price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for New using various technical indicators. When you analyze New 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 New York Predictive Indicators
The successful prediction of New York 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 New York Mortgage, 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 New York based on analysis of New York hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to New York's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to New York's related companies. | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.22 | 0.21 | 0.19 | Price To Sales Ratio | 1.52 | 0.98 | 1.13 |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ProphetCheck out New York Basic Forecasting Models to cross-verify your projections. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Will Mortgage Real Estate Investment Trusts (REITs) sector continue expanding? Could New diversify its offerings? Factors like these will boost the valuation of New York. If investors know New will grow in the future, the company's valuation will be higher. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every New York data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
The market value of New York Mortgage is measured differently than its book value, which is the value of New that is recorded on the company's balance sheet. Investors also form their own opinion of New York's value that differs from its market value or its book value, called intrinsic value, which is New York's true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because New York's market value can be influenced by many factors that don't directly affect New York's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that New York's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether New York represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, New York's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.