Link Real Pink Sheet Forecast - Simple Regression
| LKREF Stock | USD 4.43 0.15 3.28% |
The Simple Regression forecasted value of Link Real Estate on the next trading day is expected to be 4.37 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.68. Link Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Link Real's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 1st of January 2026, the relative strength index (RSI) of Link Real's share price is approaching 44. This indicates that the pink sheet is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Link Real, making its price go up or down. Momentum 44
Sell Extended
Oversold | Overbought |
Using Link Real hype-based prediction, you can estimate the value of Link Real Estate from the perspective of Link Real response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Link Real Estate on the next trading day is expected to be 4.37 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.68. Link Real after-hype prediction price | USD 4.43 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Link |
Link Real Additional Predictive Modules
Most predictive techniques to examine Link price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Link using various technical indicators. When you analyze Link 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 |
Link Real Simple Regression Price Forecast For the 2nd of January
Given 90 days horizon, the Simple Regression forecasted value of Link Real Estate on the next trading day is expected to be 4.37 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.07, and the sum of the absolute errors of 13.68.Please note that although there have been many attempts to predict Link Pink Sheet 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 Link Real's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Link Real Pink Sheet Forecast Pattern
| Backtest Link Real | Link Real Price Prediction | Buy or Sell Advice |
Link Real Forecasted Value
In the context of forecasting Link Real's Pink Sheet 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. Link Real's downside and upside margins for the forecasting period are 0.67 and 8.08, respectively. We have considered Link Real'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Link Real pink sheet data series using in forecasting. Note that when a statistical model is used to represent Link Real pink sheet, 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 | 115.4371 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2243 |
| MAPE | Mean absolute percentage error | 0.0459 |
| SAE | Sum of the absolute errors | 13.6829 |
Predictive Modules for Link Real
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Link Real Estate. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Link Real's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Link Real
For every potential investor in Link, whether a beginner or expert, Link Real's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Link Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Link. Basic forecasting techniques help filter out the noise by identifying Link Real's price trends.View Link Real Related Equities
| Risk & Return | Correlation |
Link Real Estate Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Link Real'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 Link Real's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Link Real Market Strength Events
Market strength indicators help investors to evaluate how Link Real pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Link Real shares will generate the highest return on investment. By undertsting and applying Link Real pink sheet market strength indicators, traders can identify Link Real Estate entry and exit signals to maximize returns.
Link Real Risk Indicators
The analysis of Link Real'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 Link Real's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting link pink sheet 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 | 2.49 | |||
| Standard Deviation | 3.7 | |||
| Variance | 13.71 |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in Link Pink Sheet
Link Real financial ratios help investors to determine whether Link Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Link with respect to the benefits of owning Link Real security.