# GMO Opportunistic Mutual Fund Forecast - Naive Prediction

GAAAX Fund | USD 24.23 0.05 0.21% |

GAAAX Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast GMO Opportunistic historical stock prices and determine the direction of GMO Opportunistic Income's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of GMO Opportunistic historical fundamentals such as revenue growth or operating cash flow patterns.

Check out Historical Fundamental Analysis of GMO Opportunistic to cross-verify your projections. GAAAX |

Most investors in GMO Opportunistic cannot accurately predict what will happen the next trading day because, historically, stock 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 GMO Opportunistic's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets GMO Opportunistic's price structures and extracts relationships that further increase the generated results' accuracy.

A naive forecasting model for GMO Opportunistic is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of GMO Opportunistic Income value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period. ## GMO Opportunistic Naive Prediction Price Forecast For the 24th of March

Given 90 days horizon, the Naive Prediction forecasted value of GMO Opportunistic Income on the next trading day is expected to be 24.24 with a mean absolute deviation of 0.028903, mean absolute percentage error of 0.001433, and the sum of the absolute errors of 1.76.Please note that although there have been many attempts to predict GAAAX Mutual 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 GMO Opportunistic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

## GMO Opportunistic Mutual Fund Forecast Pattern

Backtest GMO Opportunistic | GMO Opportunistic Price Prediction | Buy or Sell Advice |

## GMO Opportunistic Forecasted Value

In the context of forecasting GMO Opportunistic's Mutual 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. GMO Opportunistic's downside and upside margins for the forecasting period are 24.08 and 24.39, respectively. We have considered GMO Opportunistic'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 GMO Opportunistic mutual fund data series using in forecasting. Note that when a statistical model is used to represent GMO Opportunistic mutual 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 | 111.5622 |

Bias | Arithmetic mean of the errors | None |

MAD | Mean absolute deviation | 0.0289 |

MAPE | Mean absolute percentage error | 0.0012 |

SAE | Sum of the absolute errors | 1.7631 |

## Predictive Modules for GMO Opportunistic

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GMO Opportunistic Income. Regardless of method or technology, however, to accurately forecast the stock or bond 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.Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of GMO Opportunistic'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. Please use the tools below to analyze the current value of GMO Opportunistic in the context of predictive analytics.

Please note, it is not enough to conduct a financial or market analysis of a single entity such as GMO Opportunistic. Your research has to be compared to or analyzed against GMO Opportunistic's peers to derive any actionable benefits. When done correctly, GMO Opportunistic's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in GMO Opportunistic Income.

## Other Forecasting Options for GMO Opportunistic

For every potential investor in GAAAX, whether a beginner or expert, GMO Opportunistic's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GAAAX Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GAAAX. Basic forecasting techniques help filter out the noise by identifying GMO Opportunistic's price trends.## GMO Opportunistic 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 GMO Opportunistic mutual fund to make a market-neutral strategy. Peer analysis of GMO Opportunistic could also be used in its relative valuation, which is a method of valuing GMO Opportunistic by comparing valuation metrics with similar companies.

Risk & Return | Correlation |

## GMO Opportunistic Income 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 GMO Opportunistic'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 GMO Opportunistic's current price.Cycle Indicators | ||

Math Operators | ||

Math Transform | ||

Momentum Indicators | ||

Overlap Studies | ||

Pattern Recognition | ||

Price Transform | ||

Statistic Functions | ||

Volatility Indicators | ||

Volume Indicators |

## GMO Opportunistic Market Strength Events

Market strength indicators help investors to evaluate how GMO Opportunistic mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading GMO Opportunistic shares will generate the highest return on investment. By undertsting and applying GMO Opportunistic mutual fund market strength indicators, traders can identify GMO Opportunistic Income entry and exit signals to maximize returns.

Daily Balance Of Power | 9223.4 B | |||

Rate Of Daily Change | 1.0 | |||

Day Median Price | 24.23 | |||

Day Typical Price | 24.23 | |||

Price Action Indicator | 0.025 |

## GMO Opportunistic Risk Indicators

The analysis of GMO Opportunistic's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in GMO Opportunistic's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting GMO Opportunistic stock price, 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 | 0.1105 | |||

Standard Deviation | 0.1444 | |||

Variance | 0.0209 | |||

Downside Variance | 0.0169 | |||

Semi Variance | (0.019121) | |||

Expected Short fall | (0.15) |

Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards GMO Opportunistic in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, GMO Opportunistic's short interest history, or implied volatility extrapolated from GMO Opportunistic options trading.

## Becoming a Better Investor with Macroaxis

Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as GMO Opportunistic Income using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.## Build Optimal Portfolios

### Align your risk with return expectations

Check out Historical Fundamental Analysis of GMO Opportunistic to cross-verify your projections. Note that the GMO Opportunistic Income information on this page should be used as a complementary analysis to other GMO Opportunistic'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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

## Complementary Tools for GAAAX Mutual Fund analysis

When running GMO Opportunistic Income price analysis, check to measure GMO Opportunistic's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy GMO Opportunistic is operating at the current time. Most of GMO Opportunistic's value examination focuses on studying past and present price action to predict the probability of GMO Opportunistic's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move GMO Opportunistic's price. Additionally, you may evaluate how the addition of GMO Opportunistic to your portfolios can decrease your overall portfolio volatility.

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