Power Metals Stock Forward View - Triple Exponential Smoothing
| PWM Stock | CAD 0.51 -0.01 -1.92% |
Power Metals Corp'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 Power Metals Corp on the next trading day is expected to be 0.50 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.04.As with simple exponential smoothing, in triple exponential smoothing models past Power Metals 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 Power Metals Corp observations. This Triple Exponential Smoothing forecast data for Power Metals Corp is sourced from the most recent available trading data and is intended solely as reference information. Triple Exponential Smoothing Price Forecast For the 22nd of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Power Metals Corp on the next trading day is expected to be 0.50 with a mean absolute deviation of 0.02 , mean absolute percentage error of 0.0005 , and the sum of the absolute errors of 1.04 .Please note that although there have been many attempts to predict Power 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 Power Metals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Power Metals | Power Metals Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Power Metals Corp focuses on identifying predictive downside and upside bands that can frame a realistic trading range. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
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 Power Metals stock data series using in forecasting. Note that when a statistical model is used to represent Power Metals 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | -0.0028 |
| MAD | Mean absolute deviation | 0.0174 |
| MAPE | Mean absolute percentage error | 0.0254 |
| SAE | Sum of the absolute errors | 1.0428 |
Other Forecasting Options for Power Metals
The movement of Power price is the central consideration for investors deciding whether to enter or hold a position. Noise in Power Stock price charts can make it difficult to distinguish meaningful trends from random fluctuations.Power Metals Related Equities
The following equities are related to Power Metals within the Materials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Power Metals 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 |
Power Metals Market Strength Events
Investors use market strength indicators for Power Metals to evaluate how the stock performs relative to broader market trends. These indicators support more precise timing of Power Metals Corp positions, helping investors maximize return and minimize poorly-timed trades.
| Accumulation Distribution | 5517.27 | |||
| Daily Balance Of Power | -0.20 | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 0.53 | |||
| Day Typical Price | 0.52 | |||
| Price Action Indicator | -0.02 | |||
| Period Momentum Indicator | -0.01 |
Power Metals Risk Indicators
A careful analysis of Power Metals' basic risk indicators provides context for understanding the risk environment surrounding power stock. This understanding is an essential input for forecasting Power Metals' future price and for deciding how to manage the associated investment risk.
| Mean Deviation | 2.6 | |||
| Standard Deviation | 3.42 | |||
| Variance | 11.69 |
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 Power Metals
A coverage review of Power Metals Corp shows when the security is attracting above-average attention from contributors and market observers. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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