Intelligent Protection Stock Forward View - Triple Exponential Smoothing

IPM Stock   1.58  -0.03  -1.86%   
Intelligent Protection Management's Triple Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use.
The Triple Exponential Smoothing forecasted value of Intelligent Protection Management on the next trading day is expected to be 1.57 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.21.As with simple exponential smoothing, in triple exponential smoothing models past Intelligent Protection observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Intelligent Protection Management observations. All Triple Exponential Smoothing forecast figures shown for Intelligent Protection Management are reference data reflecting model output based on available historical prices.
Triple exponential smoothing for Intelligent Protection - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Intelligent Protection 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 trend in Intelligent Protection price movement. However, neither of these exponential smoothing models address any seasonality of Intelligent Protection.

Triple Exponential Smoothing Price Forecast For the 27th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Intelligent Protection Management on the next trading day is expected to be 1.57 with a mean absolute deviation of 0.04 , mean absolute percentage error of 0.0044 , and the sum of the absolute errors of 2.21 .
Please note that although there have been many attempts to predict Intelligent 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 Intelligent Protection's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

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Forecasted Value

Forecasting Intelligent Protection Management for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The current forecast range spans downside near 0.02 and upside near 5.01.
Market Value
1.58
1.57
Expected Value
5.01
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Intelligent Protection stock data series using in forecasting. Note that when a statistical model is used to represent Intelligent Protection 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 -0.0072
MADMean absolute deviation0.0368
MAPEMean absolute percentage error0.0207
SAESum of the absolute errors2.21
As with simple exponential smoothing, in triple exponential smoothing models past Intelligent Protection observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Intelligent Protection Management observations.

Other Forecasting Options for Intelligent Protection

Bollinger Bands applied to Intelligent Stock price data measure how far Intelligent has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to Intelligent Protection's price data.

Intelligent Protection Related Equities

The stocks listed below are peers of Intelligent Protection within the Communication Services space and offer context for ranking and strength. Growth rate gaps between Intelligent Protection and its peers often explain pricing differences in the market.
 Risk & Return  Correlation

Intelligent Protection Market Strength Events

For investors tracking Intelligent Protection Management, market strength indicators offer quantitative evaluation of stock behavior. These indicators add context to timing decisions around Intelligent Protection Management positions.

Intelligent Protection Risk Indicators

Analyzing Intelligent Protection's basic risk indicators provides investors with a structured view of the risk-return trade-off for intelligent stock. By identifying the level of risk embedded in Intelligent Protection's investment, investors can make informed decisions about position sizing.
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 Intelligent Protection

A coverage review of Intelligent Protection Management shows when the security is attracting above-average attention from contributors and market observers. A disciplined read of coverage separates durable relevance from temporary noise.

Intelligent Protection Short Properties

Short-interest signals around Intelligent Protection Management can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
Common Stock Shares OutstandingM
Cash And Short Term Investments6.6 M

More Resources for Intelligent Stock Analysis

A broader look at Intelligent Protection comes from its financial reports and historical data. The data captures Intelligent Protection's financial activity across reporting cycles.