PTT Synergy (Malaysia) Analysis
| 7010 Stock | 1.06 0.01 0.93% |
PTT Synergy Group is fairly valued with . The main objective of PTT Synergy stock analysis is to determine its intrinsic value, which is an estimate of what PTT Synergy Group is worth, separate from its market price. There are two main types of PTT Synergy's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect PTT Synergy's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of PTT Synergy's stock to identify patterns and trends that may indicate its future price movements.
The PTT Synergy 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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PTT Synergy Group Investment Alerts
| PTT Synergy Group generated a negative expected return over the last 90 days | |
| PTT Synergy Group has some characteristics of a very speculative penny stock |
PTT Synergy Group Price Movement Analysis
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PTT Synergy Predictive Daily Indicators
PTT Synergy 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 PTT Synergy 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 | 1654.21 | |||
| Daily Balance Of Power | (0.50) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 1.06 | |||
| Day Typical Price | 1.06 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) |
PTT Synergy Forecast Models
PTT Synergy's time-series forecasting models are one of many PTT Synergy'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 PTT Synergy'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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