Regulus Resources Stock Forward View - Triple Exponential Smoothing

REG Stock  CAD 3.45  -0.17  -4.70%   
Regulus Resources's Triple Exponential Smoothing reference page summarizes the forecasted price and model accuracy metrics derived from daily trading data. This reference information is provided for analytical context.
The Triple Exponential Smoothing forecasted value of Regulus Resources on the next trading day is expected to be 3.35 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.66.As with simple exponential smoothing, in triple exponential smoothing models past Regulus Resources 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 Regulus Resources observations. This Triple Exponential Smoothing forecast data for Regulus Resources is sourced from the most recent available trading data and is intended solely as reference information.
Triple exponential smoothing for Regulus Resources - 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 Regulus Resources 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 Regulus Resources price movement. However, neither of these exponential smoothing models address any seasonality of Regulus Resources.

Triple Exponential Smoothing Price Forecast For the 21st of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Regulus Resources on the next trading day is expected to be 3.35 with a mean absolute deviation of 0.13 , mean absolute percentage error of 0.03 , and the sum of the absolute errors of 7.66 .
Please note that although there have been many attempts to predict Regulus 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 Regulus Resources' 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 Regulus Resources for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
3.45
3.35
Expected Value
6.85
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 Regulus Resources stock data series using in forecasting. Note that when a statistical model is used to represent Regulus Resources 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 -0.0016
MADMean absolute deviation0.1299
MAPEMean absolute percentage error0.0289
SAESum of the absolute errors7.6635
As with simple exponential smoothing, in triple exponential smoothing models past Regulus Resources 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 Regulus Resources observations.

Other Forecasting Options for Regulus Resources

The movement of Regulus price is the central consideration for investors deciding whether to enter or hold a position. Noise in Regulus Stock price charts can make it difficult to distinguish meaningful trends from random fluctuations.

Regulus Resources Related Equities

The following equities are related to Regulus Resources within the Materials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Regulus Resources 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

Regulus Resources Market Strength Events

Investors use market strength indicators for Regulus Resources to evaluate how the stock performs relative to broader market trends. These indicators support more precise timing of Regulus Resources positions, helping investors maximize return and minimize poorly-timed trades.

Regulus Resources Risk Indicators

A careful analysis of Regulus Resources' basic risk indicators provides context for understanding the risk environment surrounding regulus stock. This understanding is an essential input for forecasting Regulus Resources' future price and for deciding how to manage the associated investment risk.
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 Regulus Resources

A coverage review of Regulus Resources shows when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Other Macroaxis Stories

Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.

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