Copart Stock Forecast - Polynomial Regression

CPRT Stock  USD 54.31  1.01  1.89%   
The Polynomial Regression forecasted value of Copart Inc on the next trading day is expected to be 51.29 with a mean absolute deviation of  0.72  and the sum of the absolute errors of 43.74. Copart Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Copart stock prices and determine the direction of Copart Inc's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Copart's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Copart to cross-verify your projections.
  
Most investors in Copart cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Copart's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Copart's price structures and extracts relationships that further increase the generated results' accuracy.
Copart polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Copart Inc as well as the accuracy indicators are determined from the period prices.

Copart Polynomial Regression Price Forecast For the 25th of April

Given 90 days horizon, the Polynomial Regression forecasted value of Copart Inc on the next trading day is expected to be 51.29 with a mean absolute deviation of 0.72, mean absolute percentage error of 0.86, and the sum of the absolute errors of 43.74.
Please note that although there have been many attempts to predict Copart 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 Copart's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Copart Stock Forecast Pattern

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Copart Forecasted Value

In the context of forecasting Copart'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. Copart's downside and upside margins for the forecasting period are 50.08 and 52.50, respectively. We have considered Copart'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
54.31
51.29
Expected Value
52.50
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Copart stock data series using in forecasting. Note that when a statistical model is used to represent Copart 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 Criteria117.9581
BiasArithmetic mean of the errors None
MADMean absolute deviation0.717
MAPEMean absolute percentage error0.0137
SAESum of the absolute errors43.739
A single variable polynomial regression model attempts to put a curve through the Copart historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Copart

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Copart 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Copart'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
53.1054.3155.52
Details
Intrinsic
Valuation
LowRealHigh
52.4753.6854.89
Details
Bollinger
Band Projection (param)
LowMiddleHigh
52.7355.8658.99
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Copart. Your research has to be compared to or analyzed against Copart's peers to derive any actionable benefits. When done correctly, Copart's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Copart Inc.

Other Forecasting Options for Copart

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

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

Copart 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 Copart'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 Copart's current price.

Copart Market Strength Events

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

Copart Risk Indicators

The analysis of Copart'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 Copart's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting copart 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.
When determining whether Copart Inc is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Copart Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Copart Inc Stock. Highlighted below are key reports to facilitate an investment decision about Copart Inc Stock:
Check out Historical Fundamental Analysis of Copart to cross-verify your projections.
You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

Complementary Tools for Copart Stock analysis

When running Copart's price analysis, check to measure Copart'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 Copart is operating at the current time. Most of Copart's value examination focuses on studying past and present price action to predict the probability of Copart's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Copart's price. Additionally, you may evaluate how the addition of Copart to your portfolios can decrease your overall portfolio volatility.
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Is Copart's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Copart. If investors know Copart will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Copart listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Copart Inc is measured differently than its book value, which is the value of Copart that is recorded on the company's balance sheet. Investors also form their own opinion of Copart's value that differs from its market value or its book value, called intrinsic value, which is Copart's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Copart's market value can be influenced by many factors that don't directly affect Copart's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Copart's value and its price as these two are different measures arrived at by different means. Investors typically determine if Copart is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Copart's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.