ITUB4F (Brazil) Analysis
| ITUB4F Stock | BRL 35.00 0.80 2.23% |
ITUB4F is overvalued with Real Value of 29.76 and Hype Value of 35.0. The main objective of ITUB4F stock analysis is to determine its intrinsic value, which is an estimate of what ITUB4F is worth, separate from its market price. There are two main types of ITUB4F's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect ITUB4F's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of ITUB4F's stock to identify patterns and trends that may indicate its future price movements.
The ITUB4F stock is traded in Brazil on Sao Paulo Exchange, with the market opening at 10:00:00 and closing at 18:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Brazil. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and ITUB4F's ongoing operational relationships across important fundamental and technical indicators.
ITUB4F |
Technical Drivers
As of the 20th of July, ITUB4F retains the risk adjusted performance of 0.1065, and Market Risk Adjusted Performance of (11.88). Our technical analysis interface lets you check available technical drivers of ITUB4F, as well as the relationship between them.ITUB4F 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 ITUB4F for a given number of time periods and then dividing this total by the number of time periods. It is used to smooth out ITUB4F short-term fluctuations and highlight longer-term trends or cycles.
ITUB4F Predictive Daily Indicators
ITUB4F 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 ITUB4F stock 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.
ITUB4F Forecast Models
ITUB4F's time-series forecasting models are one of many ITUB4F's stock 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 ITUB4F's 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 stock analysis tools, you can find out how much better you can do when adding ITUB4F to your portfolios without increasing risk or reducing expected return.Did you try this?
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Complementary Tools for ITUB4F Stock analysis
When running ITUB4F's price analysis, check to measure ITUB4F'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 ITUB4F is operating at the current time. Most of ITUB4F's value examination focuses on studying past and present price action to predict the probability of ITUB4F's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ITUB4F's price. Additionally, you may evaluate how the addition of ITUB4F to your portfolios can decrease your overall portfolio volatility.
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