Brio Multiestrategi Fund Forecast - Double Exponential Smoothing
| BIME11 Fund | 7.19 0.04 0.56% |
Brio |
Brio Multiestrategi Double Exponential Smoothing Price Forecast For the 2nd of December
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Brio Multiestrategi Fundo on the next trading day is expected to be 7.18 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 2.05.Please note that although there have been many attempts to predict Brio 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 Brio Multiestrategi's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Brio Multiestrategi Fund Forecast Pattern
Brio Multiestrategi Forecasted Value
In the context of forecasting Brio Multiestrategi'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. Brio Multiestrategi's downside and upside margins for the forecasting period are 6.62 and 7.75, respectively. We have considered Brio Multiestrategi'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Brio Multiestrategi fund data series using in forecasting. Note that when a statistical model is used to represent Brio Multiestrategi 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0054 |
| MAD | Mean absolute deviation | 0.0347 |
| MAPE | Mean absolute percentage error | 0.0048 |
| SAE | Sum of the absolute errors | 2.0494 |
Predictive Modules for Brio Multiestrategi
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Brio Multiestrategi Fundo. 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.Other Forecasting Options for Brio Multiestrategi
For every potential investor in Brio, whether a beginner or expert, Brio Multiestrategi's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Brio Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Brio. Basic forecasting techniques help filter out the noise by identifying Brio Multiestrategi's price trends.Brio Multiestrategi 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 Brio Multiestrategi fund to make a market-neutral strategy. Peer analysis of Brio Multiestrategi could also be used in its relative valuation, which is a method of valuing Brio Multiestrategi by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Brio Multiestrategi Fundo 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 Brio Multiestrategi'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 Brio Multiestrategi's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Brio Multiestrategi Market Strength Events
Market strength indicators help investors to evaluate how Brio Multiestrategi fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Brio Multiestrategi shares will generate the highest return on investment. By undertsting and applying Brio Multiestrategi fund market strength indicators, traders can identify Brio Multiestrategi Fundo entry and exit signals to maximize returns.
Brio Multiestrategi Risk Indicators
The analysis of Brio Multiestrategi'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 Brio Multiestrategi's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting brio 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 | 0.4113 | |||
| Semi Deviation | 0.4551 | |||
| Standard Deviation | 0.5589 | |||
| Variance | 0.3123 | |||
| Downside Variance | 0.3189 | |||
| Semi Variance | 0.2071 | |||
| Expected Short fall | (0.49) |
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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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.| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |