Boxed Pink Sheet Forecast - Polynomial Regression

BOXWQDelisted Stock   0.0001  0.00  0.00%   
The Polynomial Regression forecasted value of Boxed Inc on the next trading day is expected to be -0.004 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.04. Investors can use prediction functions to forecast Boxed's stock prices and determine the direction of Boxed Inc's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Boxed's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in housing.
  
Boxed polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Boxed Inc as well as the accuracy indicators are determined from the period prices.

Boxed Polynomial Regression Price Forecast For the 1st of December

Given 90 days horizon, the Polynomial Regression forecasted value of Boxed Inc on the next trading day is expected to be -0.004 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000731, and the sum of the absolute errors of 0.04.
Please note that although there have been many attempts to predict Boxed Pink Sheet 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 Boxed's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Boxed Pink Sheet Forecast Pattern

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 Boxed pink sheet data series using in forecasting. Note that when a statistical model is used to represent Boxed pink sheet, 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 Criteria29.093
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0019
MAPEMean absolute percentage error7.5932
SAESum of the absolute errors0.037
A single variable polynomial regression model attempts to put a curve through the Boxed 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 Boxed

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Boxed Inc. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Boxed'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.

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

Boxed Market Strength Events

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

Boxed Risk Indicators

The analysis of Boxed'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 Boxed's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting boxed pink sheet 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 Boxed

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 Boxed 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 Boxed will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Boxed could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Boxed 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 Boxed - 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 Boxed Inc to buy it.
The correlation of Boxed 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 Boxed moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Boxed Inc 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 Boxed 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
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in housing.
You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

Other Consideration for investing in Boxed Pink Sheet

If you are still planning to invest in Boxed Inc check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Boxed's history and understand the potential risks before investing.
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