Central Pattana Pink Sheet Forecast - Simple Exponential Smoothing
| CPNNF Stock | 1.56 0.00 0.00% |
Central |
Central Pattana Simple Exponential Smoothing Price Forecast For the 28th of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Central Pattana Public on the next trading day is expected to be 1.56 with a mean absolute deviation of 0, mean absolute percentage error of 0.00006, and the sum of the absolute errors of 0.06.Please note that although there have been many attempts to predict Central 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 Central Pattana's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Central Pattana Pink Sheet Forecast Pattern
Central Pattana Forecasted Value
In the context of forecasting Central Pattana'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. Central Pattana's downside and upside margins for the forecasting period are 1.06 and 2.06, respectively. We have considered Central Pattana'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 Central Pattana pink sheet data series using in forecasting. Note that when a statistical model is used to represent Central Pattana 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 | 106.5515 |
| Bias | Arithmetic mean of the errors | -0.001 |
| MAD | Mean absolute deviation | 0.001 |
| MAPE | Mean absolute percentage error | 6.0E-4 |
| SAE | Sum of the absolute errors | 0.06 |
Predictive Modules for Central Pattana
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Central Pattana Public. 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 Central Pattana
For every potential investor in Central, whether a beginner or expert, Central Pattana's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Central Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Central. Basic forecasting techniques help filter out the noise by identifying Central Pattana's price trends.Central Pattana 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 Central Pattana pink sheet to make a market-neutral strategy. Peer analysis of Central Pattana could also be used in its relative valuation, which is a method of valuing Central Pattana by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Central Pattana Public 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 Central Pattana'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 Central Pattana's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Central Pattana Market Strength Events
Market strength indicators help investors to evaluate how Central Pattana 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 Central Pattana shares will generate the highest return on investment. By undertsting and applying Central Pattana pink sheet market strength indicators, traders can identify Central Pattana Public entry and exit signals to maximize returns.
Central Pattana Risk Indicators
The analysis of Central Pattana'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 Central Pattana's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting central 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 | 0.1194 | |||
| Standard Deviation | 0.4924 | |||
| Variance | 0.2424 |
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.