PureCycle Technologies Stock Forecast - Double Exponential Smoothing

PCTTW Stock  USD 4.99  0.01  0.20%   
The Double Exponential Smoothing forecasted value of PureCycle Technologies on the next trading day is expected to be 4.99 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.87. PureCycle Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to drop to 2.45 in 2024. Payables Turnover is likely to drop to 5.46 in 2024. Common Stock Shares Outstanding is likely to drop to about 126.2 M in 2024. Net Loss is likely to climb to about (72.5 M) in 2024.
Most investors in PureCycle Technologies 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 PureCycle Technologies' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets PureCycle Technologies' price structures and extracts relationships that further increase the accuracy of the generated results. Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for PureCycle Technologies works best with periods where there are trends or seasonality.

PureCycle Technologies Double Exponential Smoothing Price Forecast For the 1st of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of PureCycle Technologies on the next trading day is expected to be 4.99 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.14, and the sum of the absolute errors of 10.87.
Please note that although there have been many attempts to predict PureCycle 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 PureCycle Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PureCycle Technologies Stock Forecast Pattern

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PureCycle Technologies Forecasted Value

In the context of forecasting PureCycle Technologies' 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. PureCycle Technologies' downside and upside margins for the forecasting period are 0.05 and 135.18, respectively. We have considered PureCycle Technologies' 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
4.99
4.99
Expected Value
135.18
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0541
MADMean absolute deviation0.1842
MAPEMean absolute percentage error0.0
SAESum of the absolute errors10.87
When PureCycle Technologies prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any PureCycle Technologies trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent PureCycle Technologies observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for PureCycle Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PureCycle Technologies. 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 PureCycle Technologies' 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
0.244.81503.81
Details
Intrinsic
Valuation
LowRealHigh
0.163.14502.14
Details
Bollinger
Band Projection (param)
LowMiddleHigh
-8.043.3114.67
Details

Other Forecasting Options for PureCycle Technologies

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

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

PureCycle Technologies 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 PureCycle Technologies' 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 PureCycle Technologies' current price.

PureCycle Technologies Market Strength Events

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

PureCycle Technologies Risk Indicators

The analysis of PureCycle Technologies' 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 PureCycle Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting purecycle 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 PureCycle Stock Analysis

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