ASSET BANK Fund Forecast - 4 Period Moving Average
AAGR11 Fund | 96.82 6.81 7.57% |
ASSET |
ASSET BANK 4 Period Moving Average Price Forecast For the 9th of January
Given 90 days horizon, the 4 Period Moving Average forecasted value of ASSET BANK AGRONEGCIOS on the next trading day is expected to be 91.72 with a mean absolute deviation of 1.79, mean absolute percentage error of 11.78, and the sum of the absolute errors of 101.81.Please note that although there have been many attempts to predict ASSET 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 ASSET BANK's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ASSET BANK Fund Forecast Pattern
ASSET BANK Forecasted Value
In the context of forecasting ASSET BANK'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. ASSET BANK's downside and upside margins for the forecasting period are 86.77 and 96.67, respectively. We have considered ASSET BANK'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 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of ASSET BANK fund data series using in forecasting. Note that when a statistical model is used to represent ASSET BANK 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 | 113.2257 |
Bias | Arithmetic mean of the errors | 0.2157 |
MAD | Mean absolute deviation | 1.7861 |
MAPE | Mean absolute percentage error | 0.0197 |
SAE | Sum of the absolute errors | 101.8075 |
Predictive Modules for ASSET BANK
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ASSET BANK AGRONEGCIOS. 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 ASSET BANK
For every potential investor in ASSET, whether a beginner or expert, ASSET BANK's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. ASSET Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in ASSET. Basic forecasting techniques help filter out the noise by identifying ASSET BANK's price trends.ASSET BANK 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 ASSET BANK fund to make a market-neutral strategy. Peer analysis of ASSET BANK could also be used in its relative valuation, which is a method of valuing ASSET BANK by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
ASSET BANK AGRONEGCIOS 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 ASSET BANK'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 ASSET BANK's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
ASSET BANK Market Strength Events
Market strength indicators help investors to evaluate how ASSET BANK fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ASSET BANK shares will generate the highest return on investment. By undertsting and applying ASSET BANK fund market strength indicators, traders can identify ASSET BANK AGRONEGCIOS entry and exit signals to maximize returns.
ASSET BANK Risk Indicators
The analysis of ASSET BANK'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 ASSET BANK's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting asset 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 | 2.2 | |||
Standard Deviation | 4.95 | |||
Variance | 24.49 |
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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