LG Battery Etf Forecast - Naive Prediction
| BATT Etf | CHF 23.44 0.03 0.13% |
The Naive Prediction forecasted value of LG Battery Value Chain on the next trading day is expected to be 23.16 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.27. BATT Etf Forecast is based on your current time horizon.
The relative strength momentum indicator of LG Battery's share price is above 70 at this time suggesting that the etf is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling BATT, making its price go up or down. Momentum 73
Buy Stretched
Oversold | Overbought |
Using LG Battery hype-based prediction, you can estimate the value of LG Battery Value Chain from the perspective of LG Battery response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of LG Battery Value Chain on the next trading day is expected to be 23.16 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.27. LG Battery after-hype prediction price | CHF 23.44 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
BATT |
LG Battery Additional Predictive Modules
Most predictive techniques to examine BATT price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for BATT using various technical indicators. When you analyze BATT charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
LG Battery Naive Prediction Price Forecast For the 6th of January
Given 90 days horizon, the Naive Prediction forecasted value of LG Battery Value Chain on the next trading day is expected to be 23.16 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.18, and the sum of the absolute errors of 20.27.Please note that although there have been many attempts to predict BATT Etf 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 LG Battery's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
LG Battery Etf Forecast Pattern
| Backtest LG Battery | LG Battery Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of LG Battery etf data series using in forecasting. Note that when a statistical model is used to represent LG Battery etf, 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 | 116.3722 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3323 |
| MAPE | Mean absolute percentage error | 0.0151 |
| SAE | Sum of the absolute errors | 20.2691 |
Predictive Modules for LG Battery
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as LG Battery Value. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.LG Battery 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 LG Battery etf to make a market-neutral strategy. Peer analysis of LG Battery could also be used in its relative valuation, which is a method of valuing LG Battery by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
LG Battery Market Strength Events
Market strength indicators help investors to evaluate how LG Battery etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading LG Battery shares will generate the highest return on investment. By undertsting and applying LG Battery etf market strength indicators, traders can identify LG Battery Value Chain entry and exit signals to maximize returns.
LG Battery Risk Indicators
The analysis of LG Battery'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 LG Battery's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting batt etf 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 | 1.49 | |||
| Semi Deviation | 1.99 | |||
| Standard Deviation | 2.07 | |||
| Variance | 4.27 | |||
| Downside Variance | 5.52 | |||
| Semi Variance | 3.96 | |||
| Expected Short fall | (1.53) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| JBL | Jabil Circuit | |
| MRK | Merck Company | |
| AMGN | Amgen Inc |
Other Information on Investing in BATT Etf
LG Battery financial ratios help investors to determine whether BATT Etf 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 BATT with respect to the benefits of owning LG Battery security.