Burlington Stores Stock Forecast - Polynomial Regression
| BURL Stock | USD 298.39 9.54 3.30% |
The Polynomial Regression forecasted value of Burlington Stores on the next trading day is expected to be 305.73 with a mean absolute deviation of 7.28 and the sum of the absolute errors of 443.87. Burlington Stock Forecast is based on your current time horizon. Although Burlington Stores' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Burlington Stores' systematic risk associated with finding meaningful patterns of Burlington Stores fundamentals over time.
As of now the value of rsi of Burlington Stores' 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 |
Quarterly Earnings Growth 0.164 | EPS Estimate Current Year 9.6963 | EPS Estimate Next Year 11.1126 | Wall Street Target Price 337.7143 | EPS Estimate Current Quarter 1.6366 |
Using Burlington Stores hype-based prediction, you can estimate the value of Burlington Stores from the perspective of Burlington Stores response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Burlington Stores using Burlington Stores' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Burlington using crowd psychology based on the activity and movement of Burlington Stores' stock price.
Burlington Stores Short Interest
An investor who is long Burlington Stores may also wish to track short interest. As short interest increases, investors should be becoming more worried about Burlington Stores and may potentially protect profits, hedge Burlington Stores with its derivative instruments, or be ready for some potential downside.
200 Day MA 259.7767 | Short Percent 0.058 | Short Ratio 2.1 | Shares Short Prior Month 2.6 M | 50 Day MA 273.4862 |
Burlington Stores Hype to Price Pattern
Investor biases related to Burlington Stores' public news can be used to forecast risks associated with an investment in Burlington. The trend in average sentiment can be used to explain how an investor holding Burlington can time the market purely based on public headlines and social activities around Burlington Stores. 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 Burlington Stores' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Burlington Stores.
Burlington Stores Implied Volatility | 0.46 |
Burlington Stores' implied volatility exposes the market's sentiment of Burlington Stores stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Burlington Stores' 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 Burlington Stores stock will not fluctuate a lot when Burlington Stores' options are near their expiration.
The Polynomial Regression forecasted value of Burlington Stores on the next trading day is expected to be 305.73 with a mean absolute deviation of 7.28 and the sum of the absolute errors of 443.87. Burlington Stores after-hype prediction price | USD 299.62 |
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.
Burlington | Build AI portfolio with Burlington Stock |
Open Interest Against 2026-03-20 Burlington Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Burlington Stores' 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 Burlington Stores' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Burlington Stores 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 Burlington Stores' open interest, investors have to compare it to Burlington Stores' 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 Burlington Stores 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 Burlington. 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.
Burlington Stores Additional Predictive Modules
Most predictive techniques to examine Burlington price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Burlington using various technical indicators. When you analyze Burlington 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 |
Burlington Stores Polynomial Regression Price Forecast For the 4th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Burlington Stores on the next trading day is expected to be 305.73 with a mean absolute deviation of 7.28, mean absolute percentage error of 85.21, and the sum of the absolute errors of 443.87.Please note that although there have been many attempts to predict Burlington 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 Burlington Stores' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Burlington Stores Stock Forecast Pattern
| Backtest Burlington Stores | Burlington Stores Price Prediction | Buy or Sell Advice |
Burlington Stores Forecasted Value
In the context of forecasting Burlington Stores' 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. Burlington Stores' downside and upside margins for the forecasting period are 302.83 and 308.64, respectively. We have considered Burlington Stores' 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Burlington Stores stock data series using in forecasting. Note that when a statistical model is used to represent Burlington Stores 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 | 122.5556 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 7.2766 |
| MAPE | Mean absolute percentage error | 0.027 |
| SAE | Sum of the absolute errors | 443.8746 |
Predictive Modules for Burlington Stores
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Burlington Stores. 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.Other Forecasting Options for Burlington Stores
For every potential investor in Burlington, whether a beginner or expert, Burlington Stores' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Burlington Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Burlington. Basic forecasting techniques help filter out the noise by identifying Burlington Stores' price trends.Burlington Stores 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 Burlington Stores stock to make a market-neutral strategy. Peer analysis of Burlington Stores could also be used in its relative valuation, which is a method of valuing Burlington Stores by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Burlington Stores 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 Burlington Stores' 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 Burlington Stores' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Burlington Stores Market Strength Events
Market strength indicators help investors to evaluate how Burlington Stores stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Burlington Stores shares will generate the highest return on investment. By undertsting and applying Burlington Stores stock market strength indicators, traders can identify Burlington Stores entry and exit signals to maximize returns.
Burlington Stores Risk Indicators
The analysis of Burlington Stores' 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 Burlington Stores' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting burlington 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 | 1.93 | |||
| Semi Deviation | 3.02 | |||
| Standard Deviation | 2.82 | |||
| Variance | 7.98 | |||
| Downside Variance | 10.94 | |||
| Semi Variance | 9.09 | |||
| Expected Short fall | (1.87) |
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 Burlington Stores to cross-verify your projections. For more information on how to buy Burlington Stock please use our How to buy in Burlington Stock guide.You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Is Specialty Retail 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 Burlington Stores. If investors know Burlington 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 Burlington Stores 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 0.164 | Earnings Share 8.71 | Revenue Per Share | Quarterly Revenue Growth 0.071 | Return On Assets |
The market value of Burlington Stores is measured differently than its book value, which is the value of Burlington that is recorded on the company's balance sheet. Investors also form their own opinion of Burlington Stores' value that differs from its market value or its book value, called intrinsic value, which is Burlington Stores' 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 Burlington Stores' market value can be influenced by many factors that don't directly affect Burlington Stores' 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 Burlington Stores' value and its price as these two are different measures arrived at by different means. Investors typically determine if Burlington Stores is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Burlington Stores' 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.