Valora Cri Fund Forecast - Simple Moving Average
| VGIP11 Fund | BRL 74.84 1.03 1.36% |
The Simple Moving Average forecasted value of Valora Cri Indice on the next trading day is expected to be 74.84 with a mean absolute deviation of 0.69 and the sum of the absolute errors of 41.18. Valora Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Valora Cri stock prices and determine the direction of Valora Cri Indice's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Valora Cri's historical fundamentals, such as revenue growth or operating cash flow patterns.
Valora |
Valora Cri Simple Moving Average Price Forecast For the 12th of December 2024
Given 90 days horizon, the Simple Moving Average forecasted value of Valora Cri Indice on the next trading day is expected to be 74.84 with a mean absolute deviation of 0.69, mean absolute percentage error of 0.78, and the sum of the absolute errors of 41.18.Please note that although there have been many attempts to predict Valora 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 Valora Cri's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Valora Cri Fund Forecast Pattern
Valora Cri Forecasted Value
In the context of forecasting Valora Cri'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. Valora Cri's downside and upside margins for the forecasting period are 73.92 and 75.76, respectively. We have considered Valora Cri'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Valora Cri fund data series using in forecasting. Note that when a statistical model is used to represent Valora Cri 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 | 116.0291 |
| Bias | Arithmetic mean of the errors | 0.2965 |
| MAD | Mean absolute deviation | 0.6863 |
| MAPE | Mean absolute percentage error | 0.0086 |
| SAE | Sum of the absolute errors | 41.18 |
Predictive Modules for Valora Cri
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Valora Cri Indice. 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 Valora Cri
For every potential investor in Valora, whether a beginner or expert, Valora Cri's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Valora Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Valora. Basic forecasting techniques help filter out the noise by identifying Valora Cri's price trends.Valora Cri 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 Valora Cri fund to make a market-neutral strategy. Peer analysis of Valora Cri could also be used in its relative valuation, which is a method of valuing Valora Cri by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Valora Cri Indice 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 Valora Cri'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 Valora Cri's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Valora Cri Market Strength Events
Market strength indicators help investors to evaluate how Valora Cri fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Valora Cri shares will generate the highest return on investment. By undertsting and applying Valora Cri fund market strength indicators, traders can identify Valora Cri Indice entry and exit signals to maximize returns.
| Accumulation Distribution | 1289.67 | |||
| Daily Balance Of Power | (0.49) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 75.85 | |||
| Day Typical Price | 75.51 | |||
| Price Action Indicator | (1.52) | |||
| Period Momentum Indicator | (1.03) |
Valora Cri Risk Indicators
The analysis of Valora Cri'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 Valora Cri's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting valora 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 | 0.7115 | |||
| Standard Deviation | 0.8948 | |||
| Variance | 0.8007 |
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.
Also Currently Popular
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.Other Information on Investing in Valora Fund
Valora Cri financial ratios help investors to determine whether Valora 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 Valora with respect to the benefits of owning Valora Cri security.
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |