Cars Stock Forecast - Simple Regression

CARS Stock  USD 12.57  0.07  0.56%   
The Simple Regression forecasted value of Cars Inc on the next trading day is expected to be 13.03 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.65. Cars Stock Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Cars' 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 Cars' 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 Cars and does not consider all of the tangible or intangible factors available from Cars' fundamental data. We analyze noise-free headlines and recent hype associated with Cars Inc, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Cars' stock price prediction:
Quarterly Earnings Growth
(0.57)
EPS Estimate Next Quarter
0.5372
EPS Estimate Current Year
1.7891
EPS Estimate Next Year
2.2382
Wall Street Target Price
16.6429
Using Cars hype-based prediction, you can estimate the value of Cars Inc from the perspective of Cars response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Cars using Cars' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Cars using crowd psychology based on the activity and movement of Cars' stock price.

Cars Short Interest

An investor who is long Cars may also wish to track short interest. As short interest increases, investors should be becoming more worried about Cars and may potentially protect profits, hedge Cars with its derivative instruments, or be ready for some potential downside.
200 Day MA
11.8409
Short Percent
0.2007
Short Ratio
9.27
Shares Short Prior Month
6.6 M
50 Day MA
11.8676

Cars Inc Hype to Price Pattern

Investor biases related to Cars' public news can be used to forecast risks associated with an investment in Cars. The trend in average sentiment can be used to explain how an investor holding Cars can time the market purely based on public headlines and social activities around Cars Inc. 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 Cars' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Cars.

Cars Implied Volatility

    
  1.09  
Cars' implied volatility exposes the market's sentiment of Cars Inc stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Cars' 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 Cars stock will not fluctuate a lot when Cars' options are near their expiration.
The Simple Regression forecasted value of Cars Inc on the next trading day is expected to be 13.03 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.65.

Cars after-hype prediction price

    
  USD 12.57  
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 Cars to cross-verify your projections.
At this time, Cars' Inventory Turnover is comparatively stable compared to the past year. Receivables Turnover is likely to gain to 6.50 in 2026, whereas Payables Turnover is likely to drop 4.05 in 2026. . Net Income Applicable To Common Shares is likely to gain to about 16.3 M in 2026, whereas Common Stock Shares Outstanding is likely to drop slightly above 56 M in 2026.

Open Interest Against 2026-03-20 Cars Option Contracts

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

Cars Additional Predictive Modules

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

Cars Simple Regression Price Forecast For the 11th of January 2026

Given 90 days horizon, the Simple Regression forecasted value of Cars Inc on the next trading day is expected to be 13.03 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.18, and the sum of the absolute errors of 20.65.
Please note that although there have been many attempts to predict Cars 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 Cars' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cars Stock Forecast Pattern

Backtest CarsCars Price PredictionBuy or Sell Advice 

Cars Forecasted Value

In the context of forecasting Cars' 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. Cars' downside and upside margins for the forecasting period are 10.62 and 15.44, respectively. We have considered Cars' 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
12.57
13.03
Expected Value
15.44
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 Cars stock data series using in forecasting. Note that when a statistical model is used to represent Cars 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 Criteria118.2522
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3331
MAPEMean absolute percentage error0.028
SAESum of the absolute errors20.6527
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 Cars 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 Cars

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cars 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
10.1612.5714.98
Details
Intrinsic
Valuation
LowRealHigh
10.8713.2815.69
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.0212.2713.51
Details
7 Analysts
Consensus
LowTargetHigh
15.1516.6418.47
Details

Other Forecasting Options for Cars

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

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

Cars 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 Cars' 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 Cars' current price.

Cars Market Strength Events

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

Cars Risk Indicators

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Cars Stock Analysis

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