New York Stock Forecast - Naive Prediction
| ADAM Stock | 8.29 0.04 0.48% |
The Naive Prediction forecasted value of New York Mortgage on the next trading day is expected to be 8.50 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.84. New Stock Forecast is based on your current time horizon. Although New York's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of New York's systematic risk associated with finding meaningful patterns of New York fundamentals over time.
As of now the rsi of New York's share price is below 20 . This suggests 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 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 | 1.05 |
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 Naive Prediction forecasted value of New York Mortgage on the next trading day is expected to be 8.50 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.84. New York after-hype prediction price | USD 8.29 |
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 Historical Fundamental Analysis of New York to cross-verify your projections. Open Interest Against 2026-04-17 New Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast New York's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in New York's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for New York stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current New York's open interest, investors have to compare it to New York's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of New York is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in New. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
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 |
New York Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the New York's financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2010-12-31 | Previous Quarter 150.7 M | Current Value 190.9 M | Quarterly Volatility 57 M |
New York Naive Prediction Price Forecast For the 24th of January
Given 90 days horizon, the Naive Prediction forecasted value of New York Mortgage on the next trading day is expected to be 8.50 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.03, and the sum of the absolute errors of 7.84.Please note that although there have been many attempts to predict New 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 New York's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
New York Stock Forecast Pattern
| Backtest New York | New York Price Prediction | Buy or Sell Advice |
New York Forecasted Value
In the context of forecasting New York'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. New York's downside and upside margins for the forecasting period are 6.66 and 10.33, respectively. We have considered New York'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of New York stock data series using in forecasting. Note that when a statistical model is used to represent New York 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 | 114.4368 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1286 |
| MAPE | Mean absolute percentage error | 0.0177 |
| SAE | Sum of the absolute errors | 7.8437 |
Predictive Modules for New York
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as New York Mortgage. 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.New York After-Hype Price Prediction 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 6.46 and 10.12, 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 outperform 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 Prediction 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 |
0.36 | 1.83 | 0.04 | 0.02 | 10 Events / Month | 5 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
8.29 | 8.29 | 0.00 |
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New York Hype Timeline
New York Mortgage is presently traded for 8.29. The entity has historical hype elasticity of -0.04, and average elasticity to hype of competition of 0.02. New is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is presently at 0.36%. %. The volatility of related hype on New York is about 2661.82%, with the expected price after the next announcement by competition of 8.31. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in about 10 days. Check out Historical Fundamental Analysis of New York 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 | 0.02 | 8 per month | 0.97 | 0.05 | 2.00 | (1.65) | 6.00 | |
| MITT | AG Mortgage Investment | 0.07 | 10 per month | 0.87 | 0.18 | 2.80 | (1.66) | 10.23 | |
| IVR | Invesco Mortgage Capital | 0.13 | 7 per month | 0.80 | 0.20 | 2.47 | (1.86) | 8.03 | |
| RC | Ready Capital Corp | 0.03 | 10 per month | 0.00 | (0.17) | 5.19 | (4.92) | 14.40 | |
| KREF | KKR Real Estate | 0.15 | 8 per month | 0.00 | (0.06) | 2.66 | (2.77) | 6.97 | |
| SACH | Sachem Capital Corp | 0.04 | 8 per month | 2.09 | (0.01) | 3.00 | (4.67) | 13.97 | |
| CIM | Chimera Investment | 0.00 | 0 per month | 2.06 | (0.02) | 2.51 | (1.93) | 10.83 | |
| NREF | Nexpoint Real Estate | 0.11 | 9 per month | 1.35 | 0.07 | 2.44 | (2.47) | 8.26 |
Other Forecasting Options for New York
For every potential investor in New, whether a beginner or expert, New York's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. New Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in New. Basic forecasting techniques help filter out the noise by identifying New York's price trends.New York 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 New York stock to make a market-neutral strategy. Peer analysis of New York could also be used in its relative valuation, which is a method of valuing New York by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
New York Market Strength Events
Market strength indicators help investors to evaluate how New York stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading New York shares will generate the highest return on investment. By undertsting and applying New York stock market strength indicators, traders can identify New York Mortgage entry and exit signals to maximize returns.
| Accumulation Distribution | 8052.8 | |||
| Daily Balance Of Power | (0.25) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 8.32 | |||
| Day Typical Price | 8.31 | |||
| Price Action Indicator | (0.05) | |||
| Period Momentum Indicator | (0.04) |
New York Risk Indicators
The analysis of New York'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 New York's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting new 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 | 1.33 | |||
| Semi Deviation | 1.54 | |||
| Standard Deviation | 1.78 | |||
| Variance | 3.17 | |||
| Downside Variance | 3.21 | |||
| Semi Variance | 2.37 | |||
| Expected Short fall | (1.54) |
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.
Story Coverage note for New York
The number of cover stories for New York depends on current market conditions and New York's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that New York 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 New York's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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New York Short Properties
New York's future price predictability will typically decrease when New York's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of New York Mortgage often depends not only on the future outlook of the potential New York's 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. New York's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 90.8 M | |
| Cash And Short Term Investments | 4 B |
Check out Historical Fundamental Analysis of New York to cross-verify your projections. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Is Mortgage Real Estate Investment Trusts (REITs) space expected to grow? Or is there an opportunity to expand the business' product line in the future? 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. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about New York listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
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. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. 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.
Please note, there is a significant difference between New York's value and its price as these two are different measures arrived at by different means. Investors typically determine if New York is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, New York's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.