Patrick Industries Stock Forecast - Naive Prediction
| PATK Stock | USD 113.00 0.21 0.19% |
The Naive Prediction forecasted value of Patrick Industries on the next trading day is expected to be 111.34 with a mean absolute deviation of 1.99 and the sum of the absolute errors of 123.57. Patrick Stock Forecast is based on your current time horizon. Although Patrick Industries' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Patrick Industries' systematic risk associated with finding meaningful patterns of Patrick Industries fundamentals over time.
As of now the relative strength index (rsi) of Patrick Industries' 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 |
Quarterly Earnings Growth (0.16) | EPS Estimate Next Quarter 0.7138 | EPS Estimate Current Year 4.3388 | EPS Estimate Next Year 5.4267 | Wall Street Target Price 110.7 |
Using Patrick Industries hype-based prediction, you can estimate the value of Patrick Industries from the perspective of Patrick Industries response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Patrick Industries using Patrick Industries' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Patrick using crowd psychology based on the activity and movement of Patrick Industries' stock price.
Patrick Industries Short Interest
An investor who is long Patrick Industries may also wish to track short interest. As short interest increases, investors should be becoming more worried about Patrick Industries and may potentially protect profits, hedge Patrick Industries with its derivative instruments, or be ready for some potential downside.
200 Day MA 98.2536 | Short Percent 0.1111 | Short Ratio 9.11 | Shares Short Prior Month 2.8 M | 50 Day MA 107.0874 |
Patrick Industries Hype to Price Pattern
Investor biases related to Patrick Industries' public news can be used to forecast risks associated with an investment in Patrick. The trend in average sentiment can be used to explain how an investor holding Patrick can time the market purely based on public headlines and social activities around Patrick Industries. 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 Patrick Industries' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Patrick Industries.
Patrick Industries Implied Volatility | 0.5 |
Patrick Industries' implied volatility exposes the market's sentiment of Patrick Industries stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Patrick Industries' 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 Patrick Industries stock will not fluctuate a lot when Patrick Industries' options are near their expiration.
The Naive Prediction forecasted value of Patrick Industries on the next trading day is expected to be 111.34 with a mean absolute deviation of 1.99 and the sum of the absolute errors of 123.57. Patrick Industries after-hype prediction price | USD 113.75 |
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 Patrick Industries to cross-verify your projections. Open Interest Against 2026-02-20 Patrick Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Patrick Industries' 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 Patrick Industries' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Patrick Industries 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 Patrick Industries' open interest, investors have to compare it to Patrick Industries' 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 Patrick Industries 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 Patrick. 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.
Patrick Industries Additional Predictive Modules
Most predictive techniques to examine Patrick price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Patrick using various technical indicators. When you analyze Patrick 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 |
Patrick Industries Cash Forecast
To forecast cash or other financial indicators, analysts must employ diverse statistical methods, techniques, and algorithms. This approach allows them to detect underlying patterns in the Patrick Industries' financial statements, predicting their influence on future market prices.
Cash | First Reported 1985-12-31 | Previous Quarter 22 M | Current Value 20.7 M | Quarterly Volatility 25.2 M |
Patrick Industries Naive Prediction Price Forecast For the 9th of January
Given 90 days horizon, the Naive Prediction forecasted value of Patrick Industries on the next trading day is expected to be 111.34 with a mean absolute deviation of 1.99, mean absolute percentage error of 6.15, and the sum of the absolute errors of 123.57.Please note that although there have been many attempts to predict Patrick 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 Patrick Industries' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Patrick Industries Stock Forecast Pattern
| Backtest Patrick Industries | Patrick Industries Price Prediction | Buy or Sell Advice |
Patrick Industries Forecasted Value
In the context of forecasting Patrick Industries' 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. Patrick Industries' downside and upside margins for the forecasting period are 109.59 and 113.10, respectively. We have considered Patrick Industries' 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Patrick Industries stock data series using in forecasting. Note that when a statistical model is used to represent Patrick Industries 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.| AIC | Akaike Information Criteria | 121.7648 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.993 |
| MAPE | Mean absolute percentage error | 0.0191 |
| SAE | Sum of the absolute errors | 123.5661 |
Predictive Modules for Patrick Industries
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Patrick Industries. 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 Patrick Industries' 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 Patrick Industries
For every potential investor in Patrick, whether a beginner or expert, Patrick Industries' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Patrick Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Patrick. Basic forecasting techniques help filter out the noise by identifying Patrick Industries' price trends.Patrick Industries 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 Patrick Industries stock to make a market-neutral strategy. Peer analysis of Patrick Industries could also be used in its relative valuation, which is a method of valuing Patrick Industries by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Patrick Industries 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 Patrick Industries' 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 Patrick Industries' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Patrick Industries Market Strength Events
Market strength indicators help investors to evaluate how Patrick Industries stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Patrick Industries shares will generate the highest return on investment. By undertsting and applying Patrick Industries stock market strength indicators, traders can identify Patrick Industries entry and exit signals to maximize returns.
| Accumulation Distribution | 5758.61 | |||
| Daily Balance Of Power | 0.0684 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 112.12 | |||
| Day Typical Price | 112.41 | |||
| Price Action Indicator | 0.99 | |||
| Period Momentum Indicator | 0.21 |
Patrick Industries Risk Indicators
The analysis of Patrick Industries' 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 Patrick Industries' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting patrick 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.
| Mean Deviation | 1.3 | |||
| Semi Deviation | 1.67 | |||
| Standard Deviation | 1.77 | |||
| Variance | 3.14 | |||
| Downside Variance | 3.16 | |||
| Semi Variance | 2.8 | |||
| Expected Short fall | (1.37) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ProphetCheck out Historical Fundamental Analysis of Patrick Industries to cross-verify your projections. For more information on how to buy Patrick Stock please use our How to buy in Patrick Stock guide.You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Is Building Products space 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 Patrick Industries. If investors know Patrick 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 Patrick Industries listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.16) | Dividend Share 1.6 | Earnings Share 3.49 | Revenue Per Share | Quarterly Revenue Growth 0.061 |
The market value of Patrick Industries is measured differently than its book value, which is the value of Patrick that is recorded on the company's balance sheet. Investors also form their own opinion of Patrick Industries' value that differs from its market value or its book value, called intrinsic value, which is Patrick Industries' 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 Patrick Industries' market value can be influenced by many factors that don't directly affect Patrick Industries' 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 Patrick Industries' value and its price as these two are different measures arrived at by different means. Investors typically determine if Patrick Industries is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Patrick Industries' 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.