Waste Plastic Stock Forecast - Simple Regression

WPU Stock   14.95  0.10  0.67%   
The Simple Regression forecasted value of Waste Plastic Upcycling on the next trading day is expected to be 15.45 with a mean absolute deviation of 0.78 and the sum of the absolute errors of 47.55. Waste Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Waste Plastic price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Waste Plastic Simple Regression Price Forecast For the 22nd of March

Given 90 days horizon, the Simple Regression forecasted value of Waste Plastic Upcycling on the next trading day is expected to be 15.45 with a mean absolute deviation of 0.78, mean absolute percentage error of 1.36, and the sum of the absolute errors of 47.55.
Please note that although there have been many attempts to predict Waste 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 Waste Plastic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Waste Plastic Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Waste Plastic stock data series using in forecasting. Note that when a statistical model is used to represent Waste Plastic 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 Criteria118.4206
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7795
MAPEMean absolute percentage error0.0618
SAESum of the absolute errors47.5481
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Waste Plastic Upcycling historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Waste Plastic

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Waste Plastic Upcycling. 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
13.9214.9515.98
Details
Intrinsic
Valuation
LowRealHigh
12.6313.6616.45
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.8014.9315.07
Details

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

Waste Plastic Market Strength Events

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

Waste Plastic Risk Indicators

The analysis of Waste Plastic'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 Waste Plastic's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting waste 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.

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Other Information on Investing in Waste Stock

Waste Plastic financial ratios help investors to determine whether Waste Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Waste with respect to the benefits of owning Waste Plastic security.