Net Lease Stock Forecast - Naive Prediction
| NLOP Stock | 20.00 0.29 1.43% |
The Naive Prediction forecasted value of Net Lease Office on the next trading day is expected to be 19.70 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.54. Net Stock Forecast is based on your current time horizon. Although Net Lease's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Net Lease's systematic risk associated with finding meaningful patterns of Net Lease fundamentals over time.
As of today the relative strength index (rsi) of Net Lease's share price is below 20 . This indicates 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 |
Quarterly Earnings Growth 2.231 | Wall Street Target Price 46 | Quarterly Revenue Growth (0.05) |
Using Net Lease hype-based prediction, you can estimate the value of Net Lease Office from the perspective of Net Lease response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Net Lease using Net Lease's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Net using crowd psychology based on the activity and movement of Net Lease's stock price.
Net Lease Implied Volatility | 0.18 |
Net Lease's implied volatility exposes the market's sentiment of Net Lease Office stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Net Lease'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 Net Lease stock will not fluctuate a lot when Net Lease's options are near their expiration.
The Naive Prediction forecasted value of Net Lease Office on the next trading day is expected to be 19.70 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.54. Net Lease after-hype prediction price | USD 20.0 |
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 Net Lease to cross-verify your projections. Open Interest Against 2026-04-17 Net Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Net Lease'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 Net Lease's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Net Lease 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 Net Lease's open interest, investors have to compare it to Net Lease'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 Net Lease 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 Net. 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.
Net Lease Additional Predictive Modules
Most predictive techniques to examine Net price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Net using various technical indicators. When you analyze Net 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 |
Net Lease Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Net Lease's financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2010-12-31 | Previous Quarter 28.9 M | Current Value 30.3 M | Quarterly Volatility 8.5 M |
Net Lease Naive Prediction Price Forecast For the 11th of January 2026
Given 90 days horizon, the Naive Prediction forecasted value of Net Lease Office on the next trading day is expected to be 19.70 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.05, and the sum of the absolute errors of 11.54.Please note that although there have been many attempts to predict Net 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 Net Lease's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Net Lease Stock Forecast Pattern
| Backtest Net Lease | Net Lease Price Prediction | Buy or Sell Advice |
Net Lease Forecasted Value
In the context of forecasting Net Lease'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. Net Lease's downside and upside margins for the forecasting period are 18.62 and 20.77, respectively. We have considered Net Lease'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 Net Lease stock data series using in forecasting. Note that when a statistical model is used to represent Net Lease 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 | 115.1549 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1891 |
| MAPE | Mean absolute percentage error | 0.0092 |
| SAE | Sum of the absolute errors | 11.5371 |
Predictive Modules for Net Lease
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Net Lease Office. 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.Other Forecasting Options for Net Lease
For every potential investor in Net, whether a beginner or expert, Net Lease's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Net Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Net. Basic forecasting techniques help filter out the noise by identifying Net Lease's price trends.Net Lease 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 Net Lease stock to make a market-neutral strategy. Peer analysis of Net Lease could also be used in its relative valuation, which is a method of valuing Net Lease by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Net Lease Office 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 Net Lease'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 Net Lease's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Net Lease Market Strength Events
Market strength indicators help investors to evaluate how Net Lease stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Net Lease shares will generate the highest return on investment. By undertsting and applying Net Lease stock market strength indicators, traders can identify Net Lease Office entry and exit signals to maximize returns.
Net Lease Risk Indicators
The analysis of Net Lease'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 Net Lease's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting net 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 | 0.8706 | |||
| Standard Deviation | 1.1 | |||
| Variance | 1.2 |
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.
Pair Trading with Net Lease
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Net Lease position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Net Lease will appreciate offsetting losses from the drop in the long position's value.Moving against Net Stock
The ability to find closely correlated positions to Net Lease could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Net Lease when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Net Lease - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Net Lease Office to buy it.
The correlation of Net Lease is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Net Lease moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Net Lease Office moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Net Lease can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Net Stock Analysis
When running Net Lease's price analysis, check to measure Net Lease'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 Net Lease is operating at the current time. Most of Net Lease's value examination focuses on studying past and present price action to predict the probability of Net Lease's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Net Lease's price. Additionally, you may evaluate how the addition of Net Lease to your portfolios can decrease your overall portfolio volatility.