Com2uS Stock Forecast - Polynomial Regression
| 078340 Stock | KRW 48,900 2,800 6.07% |
The Polynomial Regression forecasted value of Com2uS on the next trading day is expected to be 48,527 with a mean absolute deviation of 1,857 and the sum of the absolute errors of 113,274. Com2uS Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Com2uS stock prices and determine the direction of Com2uS's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Com2uS's historical fundamentals, such as revenue growth or operating cash flow patterns.
Com2uS |
Com2uS Polynomial Regression Price Forecast For the 2nd of December
Given 90 days horizon, the Polynomial Regression forecasted value of Com2uS on the next trading day is expected to be 48,527 with a mean absolute deviation of 1,857, mean absolute percentage error of 4,807,460, and the sum of the absolute errors of 113,274.Please note that although there have been many attempts to predict Com2uS 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 Com2uS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Com2uS Stock Forecast Pattern
| Backtest Com2uS | Com2uS Price Prediction | Buy or Sell Advice |
Com2uS Forecasted Value
In the context of forecasting Com2uS'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. Com2uS's downside and upside margins for the forecasting period are 48,524 and 48,530, respectively. We have considered Com2uS'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Com2uS stock data series using in forecasting. Note that when a statistical model is used to represent Com2uS 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 | 133.4962 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1856.955 |
| MAPE | Mean absolute percentage error | 0.0458 |
| SAE | Sum of the absolute errors | 113274.2561 |
Predictive Modules for Com2uS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Com2uS. 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 Com2uS
For every potential investor in Com2uS, whether a beginner or expert, Com2uS's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Com2uS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Com2uS. Basic forecasting techniques help filter out the noise by identifying Com2uS's price trends.Com2uS 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 Com2uS stock to make a market-neutral strategy. Peer analysis of Com2uS could also be used in its relative valuation, which is a method of valuing Com2uS by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Com2uS 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 Com2uS'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 Com2uS's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Com2uS Market Strength Events
Market strength indicators help investors to evaluate how Com2uS stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Com2uS shares will generate the highest return on investment. By undertsting and applying Com2uS stock market strength indicators, traders can identify Com2uS entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0854 | |||
| Daily Balance Of Power | 0.6667 | |||
| Rate Of Daily Change | 1.06 | |||
| Day Median Price | 47100.0 | |||
| Day Typical Price | 47700.0 | |||
| Market Facilitation Index | 4200.0 | |||
| Price Action Indicator | 3200.0 | |||
| Period Momentum Indicator | 2800.0 | |||
| Relative Strength Index | 46.45 |
Com2uS Risk Indicators
The analysis of Com2uS'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 Com2uS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting com2us 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 | 2.46 | |||
| Semi Deviation | 2.42 | |||
| Standard Deviation | 3.1 | |||
| Variance | 9.61 | |||
| Downside Variance | 6.84 | |||
| Semi Variance | 5.86 | |||
| Expected Short fall | (3.01) |
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.
Other Information on Investing in Com2uS Stock
Com2uS financial ratios help investors to determine whether Com2uS 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 Com2uS with respect to the benefits of owning Com2uS security.