CMO Public Stock Forecast - Simple Moving Average
| CMO Stock | THB 0.82 0.03 3.53% |
The Simple Moving Average forecasted value of CMO Public on the next trading day is expected to be 0.82 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.97. CMO Stock Forecast is based on your current time horizon.
CMO |
CMO Public Simple Moving Average Price Forecast For the 25th of November
Given 90 days horizon, the Simple Moving Average forecasted value of CMO Public on the next trading day is expected to be 0.82 with a mean absolute deviation of 0.05, mean absolute percentage error of 0.01, and the sum of the absolute errors of 2.97.Please note that although there have been many attempts to predict CMO Stock 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 CMO Public's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
CMO Public Stock Forecast Pattern
| Backtest CMO Public | CMO Public Price Prediction | Buy or Sell Advice |
CMO Public Forecasted Value
In the context of forecasting CMO Public's Stock 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. CMO Public's downside and upside margins for the forecasting period are 0.01 and 126.68, respectively. We have considered CMO Public'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 Moving Average forecasting method's relative quality and the estimations of the prediction error of CMO Public stock data series using in forecasting. Note that when a statistical model is used to represent CMO Public stock, 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 | 110.1871 |
| Bias | Arithmetic mean of the errors | -0.0028 |
| MAD | Mean absolute deviation | 0.0504 |
| MAPE | Mean absolute percentage error | 9.223372036854776E14 |
| SAE | Sum of the absolute errors | 2.975 |
Predictive Modules for CMO Public
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CMO Public. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 CMO Public
For every potential investor in CMO, whether a beginner or expert, CMO Public's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. CMO Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in CMO. Basic forecasting techniques help filter out the noise by identifying CMO Public's price trends.CMO Public 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 CMO Public stock to make a market-neutral strategy. Peer analysis of CMO Public could also be used in its relative valuation, which is a method of valuing CMO Public by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
CMO Public Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of CMO Public'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 CMO Public's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
CMO Public Market Strength Events
Market strength indicators help investors to evaluate how CMO Public stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CMO Public shares will generate the highest return on investment. By undertsting and applying CMO Public stock market strength indicators, traders can identify CMO Public entry and exit signals to maximize returns.
CMO Public Risk Indicators
The analysis of CMO Public'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 CMO Public's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cmo stock 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 | 2.63 | |||
| Semi Deviation | 2.39 | |||
| Standard Deviation | 4.35 | |||
| Variance | 18.89 | |||
| Downside Variance | 15.42 | |||
| Semi Variance | 5.72 | |||
| Expected Short fall | (5.48) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectOther Information on Investing in CMO Stock
CMO Public financial ratios help investors to determine whether CMO Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in CMO with respect to the benefits of owning CMO Public security.