Build A Stock Forecast - Polynomial Regression

BBW Stock  USD 36.70  0.43  1.19%   
The Polynomial Regression forecasted value of Build A Bear Workshop on the next trading day is expected to be 35.19 with a mean absolute deviation of 0.79 and the sum of the absolute errors of 48.46. Build Stock Forecast is based on your current time horizon.
  
At this time, Build A's Inventory Turnover is fairly stable compared to the past year. Fixed Asset Turnover is likely to climb to 4.86 in 2024, whereas Payables Turnover is likely to drop 7.11 in 2024. . Common Stock Shares Outstanding is likely to climb to about 17.5 M in 2024. Net Income Applicable To Common Shares is likely to climb to about 57.9 M in 2024.

Open Interest Against 2024-12-20 Build Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Build A's 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 Build A's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Build A 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 Build A's open interest, investors have to compare it to Build A's 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 Build A 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 Build. 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.
Build A polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Build A Bear Workshop as well as the accuracy indicators are determined from the period prices.

Build A Polynomial Regression Price Forecast For the 22nd of November

Given 90 days horizon, the Polynomial Regression forecasted value of Build A Bear Workshop on the next trading day is expected to be 35.19 with a mean absolute deviation of 0.79, mean absolute percentage error of 1.10, and the sum of the absolute errors of 48.46.
Please note that although there have been many attempts to predict Build 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 Build A's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Build A Stock Forecast Pattern

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Build A Forecasted Value

In the context of forecasting Build A'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. Build A's downside and upside margins for the forecasting period are 31.93 and 38.45, respectively. We have considered Build A'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
36.70
35.19
Expected Value
38.45
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 Build A stock data series using in forecasting. Note that when a statistical model is used to represent Build A 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 Criteria118.2087
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7944
MAPEMean absolute percentage error0.0236
SAESum of the absolute errors48.4612
A single variable polynomial regression model attempts to put a curve through the Build A 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 Build A

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Build A Bear. 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
33.7136.9740.23
Details
Intrinsic
Valuation
LowRealHigh
34.7738.0341.29
Details
Bollinger
Band Projection (param)
LowMiddleHigh
35.7737.4139.06
Details
3 Analysts
Consensus
LowTargetHigh
36.1039.6744.03
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Build A. Your research has to be compared to or analyzed against Build A's peers to derive any actionable benefits. When done correctly, Build A'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 Build A Bear.

Other Forecasting Options for Build A

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

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

Build A Bear 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 Build A'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 Build A's current price.

Build A Market Strength Events

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

Build A Risk Indicators

The analysis of Build A'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 Build A's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting build 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Build Stock Analysis

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