Secure Energy Stock Forward View - Polynomial Regression
| SES Stock | CAD 21.04 0.14 0.67% |
This page provides reference data for Secure Energy using Polynomial Regression forecasting. The projected value and error metrics are calculated from available daily price observations.
The Polynomial Regression forecasted value of Secure Energy Services on the next trading day is expected to be 20.79 with a mean absolute deviation of 0.31 and the sum of the absolute errors of 19.28.A single variable polynomial regression model attempts to put a curve through the Secure Energy historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm This Polynomial Regression reference page for Secure Energy presents model-generated projections from historical price data for informational purposes. Polynomial Regression Price Forecast For the 19th of March
Given 90 days horizon, the Polynomial Regression forecasted value of Secure Energy Services on the next trading day is expected to be 20.79 with a mean absolute deviation of 0.31 , mean absolute percentage error of 0.15 , and the sum of the absolute errors of 19.28 .Please note that although there have been many attempts to predict Secure 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 Secure Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Secure Energy | Secure Energy Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Secure Energy Services focuses on identifying predictive downside and upside bands that can frame a realistic trading range. At the moment, the model places downside around 18.82 and upside around 22.76 for the forecasting period.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Secure Energy stock data series using in forecasting. Note that when a statistical model is used to represent Secure Energy 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 | 118.0326 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3109 |
| MAPE | Mean absolute percentage error | 0.0171 |
| SAE | Sum of the absolute errors | 19.2788 |
Other Forecasting Options for Secure Energy
For investors considering Secure, Secure Energy's price movement is the most direct driver of investment returns. Noise in Secure Stock price charts can make identifying meaningful trends difficult without dedicated analytical tools.Secure Energy Related Equities
The following equities are related to Secure Energy within the Industrials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Secure Energy 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 |
Secure Energy Market Strength Events
Market strength indicators for Secure Energy provide investors with a view of how the stock performs across different market environments. By analyzing these indicators, traders can determine the best moments to enter or exit positions in Secure Energy Services.
Secure Energy Risk Indicators
A structured analysis of Secure Energy's risk indicators is one of the most reliable ways to improve the accuracy of price forecasts. Understanding the risk embedded in Secure Energy's allows investors to decide whether to accept, reduce, or hedge their exposure.
| Mean Deviation | 1.43 | |||
| Semi Deviation | 1.45 | |||
| Standard Deviation | 1.92 | |||
| Variance | 3.69 | |||
| Downside Variance | 3.05 | |||
| Semi Variance | 2.09 | |||
| Expected Short fall | -1.60 |
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 Secure Energy
The amount of media and story coverage tied to Secure Energy Services can signal where market attention is concentrating at the moment. 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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Secure Energy Short Properties
Short-interest signals around Secure Energy Services can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
| Common Stock Shares Outstanding | 226.4 M | |
| Cash And Short Term Investments | 22 M |
More Resources for Secure Stock Analysis
Other Information on Investing in Secure Stock
Secure Energy financial ratios help frame valuation context across profits, cash flow, and enterprise value. They help compare Secure across valuation measures and peers.