Gdl Closed Fund Forecast - Naive Prediction
| GDL Fund | USD 8.41 0.02 0.24% |
The Naive Prediction forecasted value of Gdl Closed Fund on the next trading day is expected to be 8.36 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.54. Gdl Fund Forecast is based on your current time horizon.
As of now the relative strength index (rsi) of Gdl Closed's share price is below 20 . This usually indicates that the fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Gdl Closed hype-based prediction, you can estimate the value of Gdl Closed Fund from the perspective of Gdl Closed response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Gdl Closed Fund on the next trading day is expected to be 8.36 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.54. Gdl Closed after-hype prediction price | USD 8.41 |
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 fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Gdl |
Gdl Closed Additional Predictive Modules
Most predictive techniques to examine Gdl price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Gdl using various technical indicators. When you analyze Gdl 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 |
Gdl Closed Naive Prediction Price Forecast For the 9th of January
Given 90 days horizon, the Naive Prediction forecasted value of Gdl Closed Fund on the next trading day is expected to be 8.36 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.001, and the sum of the absolute errors of 1.54.Please note that although there have been many attempts to predict Gdl Fund 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 Gdl Closed's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Gdl Closed Fund Forecast Pattern
| Backtest Gdl Closed | Gdl Closed Price Prediction | Buy or Sell Advice |
Gdl Closed Forecasted Value
In the context of forecasting Gdl Closed's Fund 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. Gdl Closed's downside and upside margins for the forecasting period are 7.87 and 8.85, respectively. We have considered Gdl Closed'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Gdl Closed fund data series using in forecasting. Note that when a statistical model is used to represent Gdl Closed fund, 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 | 113.0218 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0248 |
| MAPE | Mean absolute percentage error | 0.003 |
| SAE | Sum of the absolute errors | 1.5358 |
Predictive Modules for Gdl Closed
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gdl Closed Fund. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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 Gdl Closed'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 Gdl Closed
For every potential investor in Gdl, whether a beginner or expert, Gdl Closed's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Gdl Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Gdl. Basic forecasting techniques help filter out the noise by identifying Gdl Closed's price trends.Gdl Closed 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 Gdl Closed fund to make a market-neutral strategy. Peer analysis of Gdl Closed could also be used in its relative valuation, which is a method of valuing Gdl Closed by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Gdl Closed Fund Technical and Predictive Analytics
The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Gdl Closed'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 Gdl Closed's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Gdl Closed Market Strength Events
Market strength indicators help investors to evaluate how Gdl Closed fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Gdl Closed shares will generate the highest return on investment. By undertsting and applying Gdl Closed fund market strength indicators, traders can identify Gdl Closed Fund entry and exit signals to maximize returns.
| Accumulation Distribution | 21.74 | |||
| Daily Balance Of Power | (0.50) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 8.43 | |||
| Day Typical Price | 8.42 | |||
| Price Action Indicator | (0.03) | |||
| Period Momentum Indicator | (0.02) |
Gdl Closed Risk Indicators
The analysis of Gdl Closed'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 Gdl Closed's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gdl fund 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 | 0.3791 | |||
| Standard Deviation | 0.4819 | |||
| Variance | 0.2322 |
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 Prophet 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 ProphetOther Information on Investing in Gdl Fund
Gdl Closed financial ratios help investors to determine whether Gdl Fund 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 Gdl with respect to the benefits of owning Gdl Closed security.
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |