COSTAR GROUP Stock Forecast - Simple Regression

RLG Stock  EUR 50.07  0.82  1.66%   
The Simple Regression forecasted value of COSTAR GROUP INC on the next trading day is expected to be 52.36 with a mean absolute deviation of 1.67 and the sum of the absolute errors of 103.85. COSTAR Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of COSTAR GROUP's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 14th of January 2026 the value of rsi of COSTAR GROUP's share price is below 20 indicating 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
The successful prediction of COSTAR GROUP's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of COSTAR GROUP and does not consider all of the tangible or intangible factors available from COSTAR GROUP's fundamental data. We analyze noise-free headlines and recent hype associated with COSTAR GROUP INC, which may create opportunities for some arbitrage if properly timed.
Using COSTAR GROUP hype-based prediction, you can estimate the value of COSTAR GROUP INC from the perspective of COSTAR GROUP response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of COSTAR GROUP INC on the next trading day is expected to be 52.36 with a mean absolute deviation of 1.67 and the sum of the absolute errors of 103.85.

COSTAR GROUP after-hype prediction price

    
  EUR 50.07  
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 Historical Fundamental Analysis of COSTAR GROUP to cross-verify your projections.
For more detail on how to invest in COSTAR Stock please use our How to Invest in COSTAR GROUP guide.

COSTAR GROUP Additional Predictive Modules

Most predictive techniques to examine COSTAR price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for COSTAR using various technical indicators. When you analyze COSTAR 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through COSTAR GROUP price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

COSTAR GROUP Simple Regression Price Forecast For the 15th of January 2026

Given 90 days horizon, the Simple Regression forecasted value of COSTAR GROUP INC on the next trading day is expected to be 52.36 with a mean absolute deviation of 1.67, mean absolute percentage error of 4.02, and the sum of the absolute errors of 103.85.
Please note that although there have been many attempts to predict COSTAR 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 COSTAR GROUP's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

COSTAR GROUP Stock Forecast Pattern

Backtest COSTAR GROUPCOSTAR GROUP Price PredictionBuy or Sell Advice 

COSTAR GROUP Forecasted Value

In the context of forecasting COSTAR GROUP'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. COSTAR GROUP's downside and upside margins for the forecasting period are 49.79 and 54.93, respectively. We have considered COSTAR GROUP'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.
Market Value
50.07
52.36
Expected Value
54.93
Upside

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 COSTAR GROUP stock data series using in forecasting. Note that when a statistical model is used to represent COSTAR GROUP 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.
AICAkaike Information Criteria121.3405
BiasArithmetic mean of the errors None
MADMean absolute deviation1.6749
MAPEMean absolute percentage error0.0288
SAESum of the absolute errors103.8457
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as COSTAR GROUP INC historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for COSTAR GROUP

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as COSTAR GROUP INC. 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.
Hype
Prediction
LowEstimatedHigh
47.5250.0752.62
Details
Intrinsic
Valuation
LowRealHigh
42.8645.4155.08
Details

Other Forecasting Options for COSTAR GROUP

For every potential investor in COSTAR, whether a beginner or expert, COSTAR GROUP's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. COSTAR Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in COSTAR. Basic forecasting techniques help filter out the noise by identifying COSTAR GROUP's price trends.

COSTAR GROUP 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 COSTAR GROUP stock to make a market-neutral strategy. Peer analysis of COSTAR GROUP could also be used in its relative valuation, which is a method of valuing COSTAR GROUP by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

COSTAR GROUP INC 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 COSTAR GROUP'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 COSTAR GROUP's current price.

COSTAR GROUP Market Strength Events

Market strength indicators help investors to evaluate how COSTAR GROUP stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading COSTAR GROUP shares will generate the highest return on investment. By undertsting and applying COSTAR GROUP stock market strength indicators, traders can identify COSTAR GROUP INC entry and exit signals to maximize returns.

COSTAR GROUP Risk Indicators

The analysis of COSTAR GROUP'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 COSTAR GROUP's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting costar 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.
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 COSTAR Stock

COSTAR GROUP financial ratios help investors to determine whether COSTAR Stock 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 COSTAR with respect to the benefits of owning COSTAR GROUP security.