Appliqate Pink Sheet Forecast - Simple Exponential Smoothing
| APQT Stock | USD 0.0002 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of Appliqate on the next trading day is expected to be 0.0002 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Appliqate Pink Sheet Forecast is based on your current time horizon.
Appliqate |
Appliqate Simple Exponential Smoothing Price Forecast For the 26th of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Appliqate on the next trading day is expected to be 0.0002 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict Appliqate 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 Appliqate's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Appliqate Pink Sheet Forecast Pattern
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Appliqate Forecasted Value
In the context of forecasting Appliqate'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. Appliqate's downside and upside margins for the forecasting period are 0.0002 and 0.0002, respectively. We have considered Appliqate'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 Appliqate pink sheet data series using in forecasting. Note that when a statistical model is used to represent Appliqate 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 | -9.223372036854776E14 |
| 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 |
Predictive Modules for Appliqate
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Appliqate. 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 Appliqate
For every potential investor in Appliqate, whether a beginner or expert, Appliqate's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Appliqate Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Appliqate. Basic forecasting techniques help filter out the noise by identifying Appliqate's price trends.Appliqate 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 Appliqate pink sheet to make a market-neutral strategy. Peer analysis of Appliqate could also be used in its relative valuation, which is a method of valuing Appliqate by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Appliqate 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 Appliqate'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 Appliqate's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
Appliqate Market Strength Events
Market strength indicators help investors to evaluate how Appliqate 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 Appliqate shares will generate the highest return on investment. By undertsting and applying Appliqate pink sheet market strength indicators, traders can identify Appliqate entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 2.0E-4 | |||
| Day Typical Price | 2.0E-4 |
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Additional Tools for Appliqate Pink Sheet Analysis
When running Appliqate's price analysis, check to measure Appliqate'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 Appliqate is operating at the current time. Most of Appliqate's value examination focuses on studying past and present price action to predict the probability of Appliqate's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Appliqate's price. Additionally, you may evaluate how the addition of Appliqate to your portfolios can decrease your overall portfolio volatility.