Capstone Green Stock Forecast - Polynomial Regression

CGRN Stock

USD 1.39 0.04 2.80%

Capstone Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Capstone Green historical stock prices and determine the direction of Capstone Green Energy's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Capstone Green historical fundamentals such as revenue growth or operating cash flow patterns. Although Capstone Green naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Capstone Green Energy systematic risk associated with finding meaningful patterns of Capstone Green fundamentals over time.

Check out Historical Fundamental Analysis of Capstone Green to cross-verify your projections. To learn how to invest in Capstone Stock please use our How to Invest in Capstone Green guide.

As of 27th of March 2023, PPandE Turnover is likely to grow to 5.94. Also, Receivables Turnover is likely to grow to 4.77. As of 27th of March 2023, Weighted Average Shares is likely to grow to about 18.3 M. Also, Weighted Average Shares Diluted is likely to grow to about 18.3 M.

Open Interest Agains t 2023-04-21 Capstone Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Capstone Green'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 Capstone Green's options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Capstone Green stock based on available contracts left at the end of a trading day.

Please note, to derive more accurate forecasting about market movement from the current Capstone Green's open interest, investors have to compare it to Capstone Green'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 Capstone Green 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 Capstone. 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.

Most investors in Capstone Green cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Capstone Green's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Capstone Green's price structures and extracts relationships that further increase the generated results' accuracy.

Capstone Green polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Capstone Green Energy as well as the accuracy indicators are determined from the period prices.

More About Polynomial Regression All Equity Analysis

Capstone Green Polynomial Regression Price Forecast For the 28th of March

Given 90 days horizon, the Polynomial Regression forecasted value of Capstone Green Energy on the next trading day is expected to be 1.51 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.012977, and the sum of the absolute errors of 5.58.

Please note that although there have been many attempts to predict Capstone 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 Capstone Green's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Capstone Green Stock Forecast Pattern

Backtest Capstone Green

Capstone Green Price Prediction

Buy or Sell Advice

Capstone Green Forecasted Value

In the context of forecasting Capstone Green'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. Capstone Green's downside and upside margins for the forecasting period are 0.0139 and 5.67, respectively. We have considered Capstone Green'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 1.39

0.0139

Downside

1.51

Expected Value

Target Odds

Above Odds

Below Odds

5.67

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 Capstone Green stock data series using in forecasting. Note that when a statistical model is used to represent Capstone Green 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	113.7659
Bias	Arithmetic mean of the errors	None
MAD	Mean absolute deviation	0.0914
MAPE	Mean absolute percentage error	0.0528
SAE	Sum of the absolute errors	5.5752

A single variable polynomial regression model attempts to put a curve through the Capstone Green 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 + ... + a_m*X^m

Predictive Modules for Capstone Green

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Capstone Green Energy. Regardless of method or technology, however, to accurately forecast the stock or bond 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, frequently view the market will even out over time. This tendency of Capstone Green'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. Please use the tools below to analyze the current value of Capstone Green in the context of predictive analytics.

Hype

Prediction

Low	Estimated Value	High
0.07	1.38	5.54

Details

Intrinsic

Valuation

Low	Real Value	High
0.20	4.03	8.19

Details

Bollinger

Band Projection (param)

Lower	Middle Band	Upper
1.30	1.58	1.86

Details

2 Analysts

Consensus

Low	Target Price	High
8.00	12.00	16.00

Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Capstone Green. Your research has to be compared to or analyzed against Capstone Green's peers to derive any actionable benefits. When done correctly, Capstone Green's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Capstone Green Energy.

Other Forecasting Options for Capstone Green

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

Capstone Green 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 Capstone Green stock to make a market-neutral strategy. Peer analysis of Capstone Green could also be used in its relative valuation, which is a method of valuing Capstone Green by comparing valuation metrics with similar companies.

Altra HoldingsAmetek IncAmerican SuperconductorSmith AOArconic CorpBarnes GroupBallard Power SystemsBabcock Wilcox EnterBroadwind EnergyAmerican AirlinesAlcoa CorpApple IncBest BuyCitigroupSentinelOne

Risk & Return

Correlation

Capstone Green Energy 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 Capstone Green'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 Capstone Green's current price.

	Cycle Indicators
	Math Operators
	Math Transform
	Momentum Indicators
	Overlap Studies
	Pattern Recognition
	Price Transform
	Statistic Functions
	Volatility Indicators
	Volume Indicators

Capstone Green Risk Indicators

The analysis of Capstone Green's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Capstone Green's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Capstone Green stock price, 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	3.12
	Semi Deviation	3.87
	Standard Deviation	4.1
	Variance	16.81
	Downside Variance	16.45
	Semi Variance	14.98
	Expected Short fall	(3.34)

Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Capstone Green in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Capstone Green's short interest history, or implied volatility extrapolated from Capstone Green options trading.

Pair Trading with Capstone Green

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 Capstone Green 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 Capstone Green will appreciate offsetting losses from the drop in the long position's value.

Moving together with Capstone Green

0.69

AME

Ametek Inc

Fiscal Quarter End 31st of March 2023

Pair Corr

The ability to find closely correlated positions to Capstone Green could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Capstone Green 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 Capstone Green - 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 Capstone Green Energy to buy it.

The correlation of Capstone Green is a statistical measure of how it moves in relation to other equities. 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 Capstone Green moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Capstone Green Energy 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 Capstone Green 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 Correlation Correlation Matching

Check out Historical Fundamental Analysis of Capstone Green to cross-verify your projections. To learn how to invest in Capstone Stock please use our How to Invest in Capstone Green guide. You can also try Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.

Complementary Tools for analysis

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

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Is Capstone Green's industry 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 Capstone Green. If investors know Capstone 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 Capstone Green listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.

Earnings Share

(1.16)

Revenue Per Share

4.551

Quarterly Revenue Growth

(0.049)

Return On Assets

(0.07)

Return On Equity

(2.92)

The market value of Capstone Green Energy is measured differently than its book value, which is the value of Capstone that is recorded on the company's balance sheet. Investors also form their own opinion of Capstone Green's value that differs from its market value or its book value, called intrinsic value, which is Capstone Green'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 Capstone Green's market value can be influenced by many factors that don't directly affect Capstone Green'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 Capstone Green's value and its price as these two are different measures arrived at by different means. Investors typically determine Capstone Green value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Capstone Green'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.

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	Naive Prediction
	Simple Exponential Smoothing
	Double Exponential Smoothing
	Triple Exponential Smoothing
	Simple Regression
	Polynomial Regression
	Simple Moving Average
	4 Period Moving Average
	8 Period Moving Average
	20 Period Moving Average

Capstone Green Stock Forecast - Polynomial Regression

Open Interest Agains t 2023-04-21 Capstone Option Contracts

Capstone Green Polynomial Regression Price Forecast For the 28th of March

Capstone Green Stock Forecast Pattern

Capstone Green Forecasted Value

Model Predictive Factors

Predictive Modules for Capstone Green

Other Forecasting Options for Capstone Green

Capstone Green Related Equities

Capstone Green Energy Technical and Predictive Analytics

Capstone Green Risk Indicators

Pair Trading with Capstone Green

Moving together with Capstone Green

Complementary Tools for analysis

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