Telekom Malaysia Berhad Stock Overlap Studies Bollinger Bands
| MYTEF Stock | USD 1.06 0.00 0.00% |
| Symbol |
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Telekom Malaysia 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 Telekom Malaysia Berhad. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Telekom Malaysia Technical Analysis Modules
Most technical analysis of Telekom Malaysia help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Telekom from various momentum indicators to cycle indicators. When you analyze Telekom charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Telekom Malaysia Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Telekom Malaysia Berhad. We use our internally-developed statistical techniques to arrive at the intrinsic value of Telekom Malaysia Berhad based on widely used predictive technical indicators. In general, we focus on analyzing Telekom Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Telekom Malaysia's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Telekom Malaysia's intrinsic value. In addition to deriving basic predictive indicators for Telekom Malaysia, we also check how macroeconomic factors affect Telekom Malaysia price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Telekom Malaysia's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Align your values with your investing style
In addition to having Telekom Malaysia in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Thematic Opportunities
Explore Investment Opportunities
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Macroaxis Picks Invested few shares | |
 | Business Services Invested few shares | |
 | Chemicals Invested over 30 shares | |
 | Hedge Favorites Invested few shares | |
 | Driverless Cars Invested over 60 shares | |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Telekom Malaysia Berhad. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in income. Note that the Telekom Malaysia Berhad information on this page should be used as a complementary analysis to other Telekom Malaysia's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Complementary Tools for Telekom Pink Sheet analysis
When running Telekom Malaysia's price analysis, check to measure Telekom Malaysia'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 Telekom Malaysia is operating at the current time. Most of Telekom Malaysia's value examination focuses on studying past and present price action to predict the probability of Telekom Malaysia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Telekom Malaysia's price. Additionally, you may evaluate how the addition of Telekom Malaysia to your portfolios can decrease your overall portfolio volatility.
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |