Purecycle Technologies Stock Forward View - Simple Regression

PCT Stock  USD 5.79  -0.31  -5.08%   
The Simple Regression forecast reference data for Purecycle Technologies Holdings is based on the equity's recent trading history. This page summarizes the model output and key accuracy metrics for reference.
The Simple Regression forecasted value of Purecycle Technologies Holdings on the next trading day is expected to be 6.06 with a mean absolute deviation of 1.13 and the sum of the absolute errors of 68.81.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 Purecycle Technologies Holdings historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. All Simple Regression forecast figures shown for Purecycle Technologies Holdings are reference data reflecting model output based on available historical prices.
Simple Regression model is a single variable regression model that attempts to put a straight line through Purecycle Technologies 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.

Simple Regression Price Forecast For the 23rd of March

Given 90 days horizon, the Simple Regression forecasted value of Purecycle Technologies Holdings on the next trading day is expected to be 6.06 with a mean absolute deviation of 1.13 , mean absolute percentage error of 1.63 , and the sum of the absolute errors of 68.81 .
Please note that although there have been many attempts to predict Purecycle Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Purecycle Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest Purecycle Technologies  Purecycle Technologies Price Prediction  Research Analysis  

Forecasted Value

The next-day forecast for Purecycle Technologies Holdings focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The projected forecast band currently runs from roughly 0.79 on the downside to about 11.34 on the upside.
Market Value
5.79
6.06
Expected Value
11.34
Upside

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 Purecycle Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Purecycle Technologies 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 Criteria118.5999
BiasArithmetic mean of the errors None
MADMean absolute deviation1.1281
MAPEMean absolute percentage error0.1325
SAESum of the absolute errors68.8122
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 Purecycle Technologies Holdings historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Other Forecasting Options for Purecycle Technologies

Whether a novice or experienced investor, anyone considering Purecycle needs to understand the dynamics of Purecycle Technologies' price movement. Price charts for Purecycle Stock contain a significant amount of noise that can distort investment decisions.

Purecycle Technologies Related Equities

The following equities are related to Purecycle Technologies within the Materials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Purecycle Technologies against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

Purecycle Technologies Market Strength Events

Analyzing market strength indicators for Purecycle Technologies enables investors to understand how the stock performs relative to overall market momentum. These indicators are valuable tools for identifying when to enter or exit positions in Purecycle Technologies Holdings.

Purecycle Technologies Risk Indicators

Identifying and analyzing Purecycle Technologies' key risk indicators is a foundational step in projecting how its price may evolve. This process quantifies the risk associated with Purecycle Technologies' and decide how to manage it.
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.

Story Coverage note for Purecycle Technologies

Story coverage around Purecycle Technologies Holdings often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Purecycle Technologies Short Properties

A short-interest review of Purecycle Technologies Holdings provides context for understanding whether skepticism in the market is becoming more influential. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
Common Stock Shares Outstanding180.4 M
Cash And Short Term Investments170.3 M

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