The Polynomial Regression forecasted value of 1st NRG Corp on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. 1st Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast 1st NRG stock prices and determine the direction of 1st NRG Corp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of 1st NRG's historical fundamentals, such as revenue growth or operating cash flow patterns.
1st
1st NRG polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for 1st NRG Corp as well as the accuracy indicators are determined from the period prices.
1st NRG Polynomial Regression Price Forecast For the 28th of November
Given 90 days horizon, the Polynomial Regression forecasted value of 1st NRG Corp on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict 1st 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 1st NRG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
In the context of forecasting 1st NRG'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. 1st NRG's downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered 1st NRG'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.
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 1st NRG pink sheet data series using in forecasting. Note that when a statistical model is used to represent 1st NRG 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
34.379
Bias
Arithmetic mean of the errors
None
MAD
Mean absolute deviation
0.0
MAPE
Mean absolute percentage error
0.0
SAE
Sum of the absolute errors
0.0
A single variable polynomial regression model attempts to put a curve through the 1st NRG 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
Predictive Modules for 1st NRG
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as 1st NRG Corp. 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.
For every potential investor in 1st, whether a beginner or expert, 1st NRG's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 1st Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 1st. Basic forecasting techniques help filter out the noise by identifying 1st NRG's price trends.
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 1st NRG'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 1st NRG's current price.
Market strength indicators help investors to evaluate how 1st NRG 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 1st NRG shares will generate the highest return on investment. By undertsting and applying 1st NRG pink sheet market strength indicators, traders can identify 1st NRG Corp entry and exit signals to maximize returns.
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
1st NRG financial ratios help investors to determine whether 1st 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 1st with respect to the benefits of owning 1st NRG security.