Basic Materials (Brazil) Top Constituents

IMAT Index   5,044  42.44  0.83%   
Basic Materials top constituents interface makes it easy to find which actively traded equities make up the index. This module also helps to analysis Basic Materials price relationship to its top holders by analyzing important technical indicators across index participants. Please note that each index related to the equity markets uses different number of constituents and has its own calculation methodology.
SUZB3Suzano SAStock
CMIN3CSN Minerao SAStock
CSNA3Companhia Siderrgica NacionalStock
RANI3Irani Papel eStock
VALE3Vale SAStock
KLBN11Klabin SAStock
GGBR4Gerdau SAPreferred Stock
BRKM5Braskem SAPreferred Stock
BRAP4Bradespar SAPreferred Stock
GOAU4Metalurgica Gerdau SAPreferred Stock
USIM5Usinas Siderrgicas dePreferred Stock

Basic Materials Price Movement Analysis

The output start index for this execution was eleven with a total number of output elements of fifty. The Simple Moving Average indicator is calculated by adding the closing price of Basic Materials for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out Basic Materials short-term fluctuations and highlight longer-term trends or cycles.

Basic Materials Predictive Daily Indicators

Basic Materials intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Basic Materials index daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

Basic Materials Forecast Models

Basic Materials' time-series forecasting models are one of many Basic Materials' index analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Basic Materials' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Be your own money manager

As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our index analysis tools, you can find out how much better you can do when adding Basic Materials to your portfolios without increasing risk or reducing expected return.

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