Bloom Energy Stock Forecast - Polynomial Regression

BE Stock  USD 23.52  1.14  5.09%   
The Polynomial Regression forecasted value of Bloom Energy Corp on the next trading day is expected to be 25.63 with a mean absolute deviation of 1.78 and the sum of the absolute errors of 110.54. Bloom Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Bloom Energy stock prices and determine the direction of Bloom Energy Corp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Bloom Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Bloom Energy's Payables Turnover is projected to slightly decrease based on the last few years of reporting. The current year's Fixed Asset Turnover is expected to grow to 1.99, whereas Receivables Turnover is forecasted to decline to 3.73. . As of January 31, 2025, Common Stock Shares Outstanding is expected to decline to about 122.9 M. In addition to that, Net Loss is expected to decline to about (364 M).

Open Interest Against 2025-03-21 Bloom Option Contracts

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

Bloom Energy Polynomial Regression Price Forecast For the 1st of February

Given 90 days horizon, the Polynomial Regression forecasted value of Bloom Energy Corp on the next trading day is expected to be 25.63 with a mean absolute deviation of 1.78, mean absolute percentage error of 4.79, and the sum of the absolute errors of 110.54.
Please note that although there have been many attempts to predict Bloom 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 Bloom Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bloom Energy Stock Forecast Pattern

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Bloom Energy Forecasted Value

In the context of forecasting Bloom Energy'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. Bloom Energy's downside and upside margins for the forecasting period are 15.80 and 35.46, respectively. We have considered Bloom Energy'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
23.52
25.63
Expected Value
35.46
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 Bloom Energy stock data series using in forecasting. Note that when a statistical model is used to represent Bloom Energy 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 Criteria121.5147
BiasArithmetic mean of the errors None
MADMean absolute deviation1.7829
MAPEMean absolute percentage error0.093
SAESum of the absolute errors110.5419
A single variable polynomial regression model attempts to put a curve through the Bloom Energy 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 Bloom Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bloom Energy Corp. 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 Bloom Energy'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
11.2921.1230.95
Details
Intrinsic
Valuation
LowRealHigh
12.8422.6732.50
Details
Bollinger
Band Projection (param)
LowMiddleHigh
21.0124.6728.32
Details
27 Analysts
Consensus
LowTargetHigh
20.9323.0025.53
Details

Other Forecasting Options for Bloom Energy

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

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

Bloom Energy Corp 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 Bloom Energy'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 Bloom Energy's current price.

Bloom Energy Market Strength Events

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

Bloom Energy Risk Indicators

The analysis of Bloom Energy'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 Bloom Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bloom 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.
Check out Historical Fundamental Analysis of Bloom Energy to cross-verify your projections.
You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Is Heavy Electrical Equipment 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 Bloom Energy. If investors know Bloom 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 Bloom Energy listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.54)
Revenue Per Share
5.562
Quarterly Revenue Growth
(0.17)
Return On Assets
(0.02)
Return On Equity
(0.27)
The market value of Bloom Energy Corp is measured differently than its book value, which is the value of Bloom that is recorded on the company's balance sheet. Investors also form their own opinion of Bloom Energy's value that differs from its market value or its book value, called intrinsic value, which is Bloom Energy'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 Bloom Energy's market value can be influenced by many factors that don't directly affect Bloom Energy'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 Bloom Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bloom Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bloom Energy'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.