Talam Transform (Malaysia) Analysis
| 2259 Stock | 0.03 0.00 0.00% |
Talam Transform Bhd is overvalued with . The main objective of Talam Transform stock analysis is to determine its intrinsic value, which is an estimate of what Talam Transform Bhd is worth, separate from its market price. There are two main types of Talam Transform's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Talam Transform's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Talam Transform's stock to identify patterns and trends that may indicate its future price movements.
The Talam Transform stock is traded in Malaysia on Kuala Lumpur Exchange, with the market opening at 09:00:00 and closing at 16:45:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Malaysia.
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Talam Transform Bhd Investment Alerts
| Talam Transform Bhd is way too risky over 90 days horizon | |
| Talam Transform Bhd has some characteristics of a very speculative penny stock | |
| Talam Transform Bhd appears to be risky and price may revert if volatility continues |
Talam Transform Bhd Price Movement Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Talam Transform 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 Talam Transform Bhd. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Talam Transform Outstanding Bonds
Talam Transform 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. Talam Transform Bhd 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 Talam bonds can be classified according to their maturity, which is the date when Talam Transform Bhd 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.
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Talam Transform Predictive Daily Indicators
Talam Transform 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 Talam Transform 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.
| Accumulation Distribution | 0.2 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 0.0225 | |||
| Day Typical Price | 0.0233 | |||
| Market Facilitation Index | 0.005 | |||
| Price Action Indicator | 0.0025 |
Talam Transform Forecast Models
Talam Transform's time-series forecasting models are one of many Talam Transform'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 Talam Transform'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
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