Chase Packaging Pink Sheet Forecast - Simple Exponential Smoothing
| WHLT Stock | USD 0.09 0.06 164.09% |
The Simple Exponential Smoothing forecasted value of Chase Packaging Corp on the next trading day is expected to be 0.09 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.20. Chase Pink Sheet Forecast is based on your current time horizon.
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Chase Packaging Simple Exponential Smoothing Price Forecast For the 27th of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Chase Packaging Corp on the next trading day is expected to be 0.09 with a mean absolute deviation of 0, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.20.Please note that although there have been many attempts to predict Chase 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 Chase Packaging's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Chase Packaging Pink Sheet Forecast Pattern
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Chase Packaging Forecasted Value
In the context of forecasting Chase Packaging'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. Chase Packaging's downside and upside margins for the forecasting period are 0.0009 and 45.03, respectively. We have considered Chase Packaging'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 Chase Packaging pink sheet data series using in forecasting. Note that when a statistical model is used to represent Chase Packaging 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 | 107.6984 |
| Bias | Arithmetic mean of the errors | -0.001 |
| MAD | Mean absolute deviation | 0.0034 |
| MAPE | Mean absolute percentage error | 0.0621 |
| SAE | Sum of the absolute errors | 0.2038 |
Predictive Modules for Chase Packaging
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Chase Packaging 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.Other Forecasting Options for Chase Packaging
For every potential investor in Chase, whether a beginner or expert, Chase Packaging's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Chase Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Chase. Basic forecasting techniques help filter out the noise by identifying Chase Packaging's price trends.Chase Packaging 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 Chase Packaging pink sheet to make a market-neutral strategy. Peer analysis of Chase Packaging could also be used in its relative valuation, which is a method of valuing Chase Packaging by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Chase Packaging Corp 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 Chase Packaging'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 Chase Packaging's current price.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
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| Volume Indicators |
Chase Packaging Market Strength Events
Market strength indicators help investors to evaluate how Chase Packaging 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 Chase Packaging shares will generate the highest return on investment. By undertsting and applying Chase Packaging pink sheet market strength indicators, traders can identify Chase Packaging Corp entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 2.64 | |||
| Day Median Price | 0.089 | |||
| Day Typical Price | 0.089 | |||
| Price Action Indicator | 0.0277 | |||
| Period Momentum Indicator | 0.0553 |
Chase Packaging Risk Indicators
The analysis of Chase Packaging'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 Chase Packaging's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting chase 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 | 14.6 | |||
| Standard Deviation | 43.91 | |||
| Variance | 1928.24 |
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 Chase Pink Sheet Analysis
When running Chase Packaging's price analysis, check to measure Chase Packaging'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 Chase Packaging is operating at the current time. Most of Chase Packaging's value examination focuses on studying past and present price action to predict the probability of Chase Packaging's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Chase Packaging's price. Additionally, you may evaluate how the addition of Chase Packaging to your portfolios can decrease your overall portfolio volatility.