EverQuote Stock Forecast - Naive Prediction

EVER Stock  USD 26.34  0.10  0.38%   
The Naive Prediction forecasted value of EverQuote Class A on the next trading day is expected to be 25.54 with a mean absolute deviation of 0.71 and the sum of the absolute errors of 43.59. EverQuote Stock Forecast is based on your current time horizon. Although EverQuote's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of EverQuote's systematic risk associated with finding meaningful patterns of EverQuote fundamentals over time.
As of today the relative strength index (rsi) of EverQuote's share price is below 20 suggesting 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 EverQuote'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 EverQuote and does not consider all of the tangible or intangible factors available from EverQuote's fundamental data. We analyze noise-free headlines and recent hype associated with EverQuote Class A, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting EverQuote's stock price prediction:
Quarterly Earnings Growth
0.613
EPS Estimate Next Quarter
0.5
EPS Estimate Current Year
2.34
EPS Estimate Next Year
2.4967
Wall Street Target Price
34.2
Using EverQuote hype-based prediction, you can estimate the value of EverQuote Class A from the perspective of EverQuote response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards EverQuote using EverQuote's stock options and short interest. It helps to benchmark the overall future attitude of investors towards EverQuote using crowd psychology based on the activity and movement of EverQuote's stock price.

EverQuote Short Interest

An investor who is long EverQuote may also wish to track short interest. As short interest increases, investors should be becoming more worried about EverQuote and may potentially protect profits, hedge EverQuote with its derivative instruments, or be ready for some potential downside.
200 Day MA
24.1367
Short Percent
0.0713
Short Ratio
5.3
Shares Short Prior Month
M
50 Day MA
25.7394

EverQuote Class A Hype to Price Pattern

Investor biases related to EverQuote's public news can be used to forecast risks associated with an investment in EverQuote. The trend in average sentiment can be used to explain how an investor holding EverQuote can time the market purely based on public headlines and social activities around EverQuote Class A. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of EverQuote's market sentiment to its price can help taders to make decisions based on the overall investors consensus about EverQuote.

EverQuote Implied Volatility

    
  0.68  
EverQuote's implied volatility exposes the market's sentiment of EverQuote Class A stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if EverQuote'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 EverQuote stock will not fluctuate a lot when EverQuote's options are near their expiration.
The Naive Prediction forecasted value of EverQuote Class A on the next trading day is expected to be 25.54 with a mean absolute deviation of 0.71 and the sum of the absolute errors of 43.59.

EverQuote after-hype prediction price

    
  USD 26.66  
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 EverQuote to cross-verify your projections.
At this time, EverQuote's Payables Turnover is relatively stable compared to the past year. As of 01/13/2026, Receivables Turnover is likely to grow to 7.20, while Fixed Asset Turnover is likely to drop 45.72. . As of 01/13/2026, Common Stock Shares Outstanding is likely to drop to about 27.9 M. In addition to that, Net Loss is likely to grow to about (20.9 M).

Open Interest Against 2026-03-20 EverQuote Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast EverQuote'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 EverQuote's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for EverQuote 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 EverQuote's open interest, investors have to compare it to EverQuote'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 EverQuote 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 EverQuote. 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.

EverQuote Additional Predictive Modules

Most predictive techniques to examine EverQuote price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for EverQuote using various technical indicators. When you analyze EverQuote 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.

EverQuote Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the EverQuote's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2012-03-31
Previous Quarter
148.2 M
Current Value
145.8 M
Quarterly Volatility
281.5 M
 
Yuan Drop
 
Covid
A naive forecasting model for EverQuote is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of EverQuote Class A value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

EverQuote Naive Prediction Price Forecast For the 14th of January 2026

Given 90 days horizon, the Naive Prediction forecasted value of EverQuote Class A on the next trading day is expected to be 25.54 with a mean absolute deviation of 0.71, mean absolute percentage error of 0.90, and the sum of the absolute errors of 43.59.
Please note that although there have been many attempts to predict EverQuote 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 EverQuote's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

EverQuote Stock Forecast Pattern

Backtest EverQuoteEverQuote Price PredictionBuy or Sell Advice 

EverQuote Forecasted Value

In the context of forecasting EverQuote'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. EverQuote's downside and upside margins for the forecasting period are 22.98 and 28.10, respectively. We have considered EverQuote'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
26.34
25.54
Expected Value
28.10
Upside

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 EverQuote stock data series using in forecasting. Note that when a statistical model is used to represent EverQuote 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 Criteria118.0106
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7145
MAPEMean absolute percentage error0.0295
SAESum of the absolute errors43.5864
This model is not at all useful as a medium-long range forecasting tool of EverQuote Class A. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict EverQuote. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for EverQuote

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EverQuote Class A. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of EverQuote'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.
Hype
Prediction
LowEstimatedHigh
24.0826.6629.24
Details
Intrinsic
Valuation
LowRealHigh
24.1429.6932.27
Details
8 Analysts
Consensus
LowTargetHigh
31.1234.2037.96
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.660.660.66
Details

Other Forecasting Options for EverQuote

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

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

EverQuote Class A 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 EverQuote'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 EverQuote's current price.

EverQuote Market Strength Events

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

EverQuote Risk Indicators

The analysis of EverQuote'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 EverQuote's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting everquote 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.

Pair Trading with EverQuote

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 EverQuote 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 EverQuote will appreciate offsetting losses from the drop in the long position's value.

Moving against EverQuote Stock

  0.87EQC Equity CommonwealthPairCorr
  0.84AUTO Auto Trader GroupPairCorr
  0.84EGLX Enthusiast GamingPairCorr
  0.79WBTN WEBTOON EntertainmentPairCorr
  0.75WB Weibo CorpPairCorr
The ability to find closely correlated positions to EverQuote could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace EverQuote 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 EverQuote - 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 EverQuote Class A to buy it.
The correlation of EverQuote 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 EverQuote moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EverQuote Class A 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 EverQuote 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.
Pair CorrelationCorrelation Matching

Additional Tools for EverQuote Stock Analysis

When running EverQuote's price analysis, check to measure EverQuote'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 EverQuote is operating at the current time. Most of EverQuote's value examination focuses on studying past and present price action to predict the probability of EverQuote's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move EverQuote's price. Additionally, you may evaluate how the addition of EverQuote to your portfolios can decrease your overall portfolio volatility.