Earth Science Pink Sheet Forecast - Simple Exponential Smoothing
| ETST Stock | USD 0.13 0.01 8.33% |
The Simple Exponential Smoothing forecasted value of Earth Science Tech on the next trading day is expected to be 0.13 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.62. Earth Pink Sheet Forecast is based on your current time horizon.
Earth |
Earth Science Simple Exponential Smoothing Price Forecast For the 4th of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Earth Science Tech on the next trading day is expected to be 0.13 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.62.Please note that although there have been many attempts to predict Earth 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 Earth Science's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Earth Science Pink Sheet Forecast Pattern
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Earth Science Forecasted Value
In the context of forecasting Earth Science'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. Earth Science's downside and upside margins for the forecasting period are 0 and 11.06, respectively. We have considered Earth Science'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Earth Science pink sheet data series using in forecasting. Note that when a statistical model is used to represent Earth Science 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 | 107.6991 |
| Bias | Arithmetic mean of the errors | 0.0015 |
| MAD | Mean absolute deviation | 0.0103 |
| MAPE | Mean absolute percentage error | 0.0688 |
| SAE | Sum of the absolute errors | 0.6176 |
Predictive Modules for Earth Science
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Earth Science Tech. 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 Earth Science'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 Earth Science
For every potential investor in Earth, whether a beginner or expert, Earth Science's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Earth Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Earth. Basic forecasting techniques help filter out the noise by identifying Earth Science's price trends.Earth Science 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 Earth Science pink sheet to make a market-neutral strategy. Peer analysis of Earth Science could also be used in its relative valuation, which is a method of valuing Earth Science by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Earth Science Tech 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 Earth Science'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 Earth Science's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Earth Science Market Strength Events
Market strength indicators help investors to evaluate how Earth Science 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 Earth Science shares will generate the highest return on investment. By undertsting and applying Earth Science pink sheet market strength indicators, traders can identify Earth Science Tech entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.08 | |||
| Day Median Price | 0.13 | |||
| Day Typical Price | 0.13 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 | |||
| Relative Strength Index | 42.36 |
Earth Science Risk Indicators
The analysis of Earth Science'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 Earth Science's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting earth 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 | 7.28 | |||
| Standard Deviation | 10.94 | |||
| Variance | 119.67 |
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.
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Additional Tools for Earth Pink Sheet Analysis
When running Earth Science's price analysis, check to measure Earth Science's 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 Earth Science is operating at the current time. Most of Earth Science's value examination focuses on studying past and present price action to predict the probability of Earth Science's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Earth Science's price. Additionally, you may evaluate how the addition of Earth Science to your portfolios can decrease your overall portfolio volatility.