Intel (Peru) Analysis
| INTC Stock | 19.90 0.52 2.55% |
Intel is overvalued with Real Value of 17.78 and Hype Value of 19.9. The main objective of Intel stock analysis is to determine its intrinsic value, which is an estimate of what Intel is worth, separate from its market price. There are two main types of Intel's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Intel's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Intel's stock to identify patterns and trends that may indicate its future price movements.
The Intel stock is traded in Peru on Bolsa de Valores de Lima, with the market opening at 08:30:00 and closing at 14:52:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Peru. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Intel's ongoing operational relationships across important fundamental and technical indicators.
Intel |
Intel Investment Alerts
| Intel generated a negative expected return over the last 90 days |
Technical Drivers
As of the 9th of January, Intel retains the Market Risk Adjusted Performance of (3.01), risk adjusted performance of (0.08), and Standard Deviation of 2.94. Our technical analysis interface lets you check existing technical drivers of Intel, as well as the relationship between them.Intel Price Movement Analysis
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Intel middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Intel. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Intel Outstanding Bonds
Intel issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Intel uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Intel bonds can be classified according to their maturity, which is the date when Intel has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
| Dana 575 percent Corp BondUS235822AB96 | View | |
| Boeing Co 2196 Corp BondUS097023DG73 | View | |
| INTEL P 315 Corp BondUS458140AX85 | View | |
| INTEL P 41 Corp BondUS458140AY68 | View | |
| Intel 245 percent Corp BondUS458140BH27 | View | |
| INTEL P 3734 Corp BondUS458140BG44 | View | |
| INTEL P 4 Corp BondUS458140AN04 | View | |
| INTEL P 48 Corp BondUS458140AK64 | View |
Intel Predictive Daily Indicators
Intel 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 Intel 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.
Intel Forecast Models
Intel's time-series forecasting models are one of many Intel'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 Intel'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 Intel to your portfolios without increasing risk or reducing expected return.Did you try this?
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Complementary Tools for Intel Stock analysis
When running Intel's price analysis, check to measure Intel'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 Intel is operating at the current time. Most of Intel's value examination focuses on studying past and present price action to predict the probability of Intel's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Intel's price. Additionally, you may evaluate how the addition of Intel to your portfolios can decrease your overall portfolio volatility.
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