US Global Etf Forecast - 8 Period Moving Average
| SEA Etf | USD 15.14 0.05 0.33% |
The 8 Period Moving Average forecasted value of US Global Sea on the next trading day is expected to be 15.20 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 8.32. SEA Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast US Global stock prices and determine the direction of US Global Sea's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of US Global's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of US Global to cross-verify your projections. SEA |
Open Interest Against 2024-04-19 SEA Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast US Global's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in US Global's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for US Global stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current US Global's open interest, investors have to compare it to US Global's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of US Global is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in SEA. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in US Global cannot accurately predict what will happen the next trading day because, historically, etf markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the US Global's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets US Global's price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for US Global is based on an artificially constructed time series of US Global daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time. US Global 8 Period Moving Average Price Forecast For the 17th of April 2024
Given 90 days horizon, the 8 Period Moving Average forecasted value of US Global Sea on the next trading day is expected to be 15.20 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.04, and the sum of the absolute errors of 8.32.Please note that although there have been many attempts to predict SEA 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 US Global's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
US Global Etf Forecast Pattern
| Backtest US Global | US Global Price Prediction | Buy or Sell Advice |
US Global Forecasted Value
In the context of forecasting US Global's Etf 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. US Global's downside and upside margins for the forecasting period are 14.36 and 16.04, respectively. We have considered US Global'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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of US Global etf data series using in forecasting. Note that when a statistical model is used to represent US Global 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 | 100.1638 |
| Bias | Arithmetic mean of the errors | 0.0524 |
| MAD | Mean absolute deviation | 0.1569 |
| MAPE | Mean absolute percentage error | 0.0103 |
| SAE | Sum of the absolute errors | 8.3175 |
Predictive Modules for US Global
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as US Global Sea. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of US Global's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for US Global
For every potential investor in SEA, whether a beginner or expert, US Global's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SEA Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SEA. Basic forecasting techniques help filter out the noise by identifying US Global's price trends.US Global 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 US Global etf to make a market-neutral strategy. Peer analysis of US Global could also be used in its relative valuation, which is a method of valuing US Global by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
US Global Sea Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of US Global'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 US Global's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
US Global Market Strength Events
Market strength indicators help investors to evaluate how US Global etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading US Global shares will generate the highest return on investment. By undertsting and applying US Global etf market strength indicators, traders can identify US Global Sea entry and exit signals to maximize returns.
US Global Risk Indicators
The analysis of US Global'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 US Global's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sea 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 | 0.6743 | |||
| Semi Deviation | 0.764 | |||
| Standard Deviation | 0.8708 | |||
| Variance | 0.7583 | |||
| Downside Variance | 0.6169 | |||
| Semi Variance | 0.5837 | |||
| Expected Short fall | (0.82) |
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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Check out Historical Fundamental Analysis of US Global to cross-verify your projections. Note that the US Global Sea information on this page should be used as a complementary analysis to other US Global's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
The market value of US Global Sea is measured differently than its book value, which is the value of SEA that is recorded on the company's balance sheet. Investors also form their own opinion of US Global's value that differs from its market value or its book value, called intrinsic value, which is US Global's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because US Global's market value can be influenced by many factors that don't directly affect US Global's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between US Global's value and its price as these two are different measures arrived at by different means. Investors typically determine if US Global is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, US Global's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.