CEA Industries Stock Forecast - Polynomial Regression

CEADW Stock  USD 0.01  0  34.17%   
The Polynomial Regression forecasted value of CEA Industries Warrant on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.37. CEA Stock Forecast is based on your current time horizon.
  
Payables Turnover is likely to climb to 36.47 in 2024, whereas Inventory Turnover is likely to drop 10.91 in 2024. . Common Stock Shares Outstanding is likely to drop to about 7.7 M in 2024.
CEA Industries polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for CEA Industries Warrant as well as the accuracy indicators are determined from the period prices.

CEA Industries Polynomial Regression Price Forecast For the 2nd of December

Given 90 days horizon, the Polynomial Regression forecasted value of CEA Industries Warrant on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000066, and the sum of the absolute errors of 0.37.
Please note that although there have been many attempts to predict CEA 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 CEA Industries' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CEA Industries Stock Forecast Pattern

Backtest CEA IndustriesCEA Industries Price PredictionBuy or Sell Advice 

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 CEA Industries stock data series using in forecasting. Note that when a statistical model is used to represent CEA Industries 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 Criteria108.4864
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0061
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors0.3698
A single variable polynomial regression model attempts to put a curve through the CEA Industries 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 CEA Industries

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CEA Industries Warrant. 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 CEA Industries' 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
0.000.0150.40
Details
Intrinsic
Valuation
LowRealHigh
0.000.0150.40
Details

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

CEA Industries Market Strength Events

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

CEA Industries Risk Indicators

The analysis of CEA Industries' 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 CEA Industries' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cea 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 CEA Stock Analysis

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