Secure Energy Pink Sheet Forecast - Polynomial Regression
| SECYF Stock | USD 11.83 0.02 0.17% |
The Polynomial Regression forecasted value of Secure Energy Services on the next trading day is expected to be 11.54 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.01. Secure Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Secure Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
Secure |
Secure Energy Polynomial Regression Price Forecast For the 13th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Secure Energy Services on the next trading day is expected to be 11.54 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.16, and the sum of the absolute errors of 20.01.Please note that although there have been many attempts to predict Secure Pink Sheet 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 Secure Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Secure Energy Pink Sheet Forecast Pattern
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Secure Energy Forecasted Value
In the context of forecasting Secure Energy's Pink Sheet 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. Secure Energy's downside and upside margins for the forecasting period are 9.38 and 13.70, respectively. We have considered Secure Energy's 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.
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 pink sheet data series using in forecasting. Note that when a statistical model is used to represent Secure Energy pink sheet, 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 | 116.3025 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.328 |
| MAPE | Mean absolute percentage error | 0.0313 |
| SAE | Sum of the absolute errors | 20.0109 |
Predictive Modules for Secure Energy
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Secure Energy Services. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Secure Energy's 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.
Other Forecasting Options for Secure Energy
For every potential investor in Secure, whether a beginner or expert, Secure Energy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Secure Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Secure. Basic forecasting techniques help filter out the noise by identifying Secure Energy's price trends.Secure Energy 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 Secure Energy pink sheet to make a market-neutral strategy. Peer analysis of Secure Energy could also be used in its relative valuation, which is a method of valuing Secure Energy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Secure Energy Services Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Secure Energy's 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 Secure Energy's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Secure Energy Market Strength Events
Market strength indicators help investors to evaluate how Secure Energy pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Secure Energy shares will generate the highest return on investment. By undertsting and applying Secure Energy pink sheet market strength indicators, traders can identify Secure Energy Services entry and exit signals to maximize returns.
Secure Energy Risk Indicators
The analysis of Secure Energy's 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 Secure Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting secure pink sheet 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.
| Mean Deviation | 1.51 | |||
| Semi Deviation | 1.06 | |||
| Standard Deviation | 2.13 | |||
| Variance | 4.54 | |||
| Downside Variance | 2.63 | |||
| Semi Variance | 1.13 | |||
| Expected Short fall | (1.97) |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in Secure Pink Sheet
Secure Energy financial ratios help investors to determine whether Secure Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Secure with respect to the benefits of owning Secure Energy security.