Nutranomics Pink Sheet Forecast - 20 Period Moving Average
The 20 Period Moving Average forecasted value of Nutranomics on the next trading day is expected to be 0.000095 with a mean absolute deviation of 0.000012 and the sum of the absolute errors of 0.0005. Nutranomics Pink Sheet Forecast is based on your current time horizon.
Nutranomics |
Nutranomics 20 Period Moving Average Price Forecast For the 13th of December 2024
Given 90 days horizon, the 20 Period Moving Average forecasted value of Nutranomics on the next trading day is expected to be 0.000095 with a mean absolute deviation of 0.000012, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0005.Please note that although there have been many attempts to predict Nutranomics 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 Nutranomics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Nutranomics Pink Sheet Forecast Pattern
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Nutranomics Forecasted Value
In the context of forecasting Nutranomics' 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. Nutranomics' downside and upside margins for the forecasting period are 0.00 and 178.19, respectively. We have considered Nutranomics' 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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Nutranomics pink sheet data series using in forecasting. Note that when a statistical model is used to represent Nutranomics 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 | 60.1876 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 9.223372036854776E14 |
| SAE | Sum of the absolute errors | 5.0E-4 |
Predictive Modules for Nutranomics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nutranomics. 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.Other Forecasting Options for Nutranomics
For every potential investor in Nutranomics, whether a beginner or expert, Nutranomics' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Nutranomics Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Nutranomics. Basic forecasting techniques help filter out the noise by identifying Nutranomics' price trends.View Nutranomics Related Equities
| Risk & Return | Correlation |
Nutranomics 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 Nutranomics' 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 Nutranomics' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
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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.Additional Tools for Nutranomics Pink Sheet Analysis
When running Nutranomics' price analysis, check to measure Nutranomics' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Nutranomics is operating at the current time. Most of Nutranomics' value examination focuses on studying past and present price action to predict the probability of Nutranomics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Nutranomics' price. Additionally, you may evaluate how the addition of Nutranomics to your portfolios can decrease your overall portfolio volatility.