Singha Estate (Thailand) Price History
| S-R Stock | THB 0.91 0.01 1.11% |
If you're considering investing in Singha Stock, it is important to understand the factors that can impact its price. As of today, the current price of Singha Estate stands at 0.91, as last reported on the 23rd of December, with the highest price reaching 0.91 and the lowest price hitting 0.89 during the day. Singha Estate is out of control given 3 months investment horizon. Singha Estate Public owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11% return per unit of risk over the last 3 months. We were able to interpolate data for twenty-four different technical indicators, which can help you to evaluate if expected returns of 14.29% are justified by taking the suggested risk. Use Singha Estate Public Coefficient Of Variation of (1,023), variance of 19.37, and Risk Adjusted Performance of (0.07) to evaluate company specific risk that cannot be diversified away.
Singha Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Singha |
Sharpe Ratio = 0.1107
| Best Portfolio | Best Equity | S-R | ||
| Good Returns | ||||
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns |
Estimated Market Risk
| 129.02 actual daily | 96 96% of assets are less volatile |
Expected Return
| 5.01 actual daily | 96 96% of assets have lower returns |
Risk-Adjusted Return
| 0.11 actual daily | 8 92% of assets perform better |
Based on monthly moving average Singha Estate is performing at about 8% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Singha Estate by adding it to a well-diversified portfolio.
Singha Estate Stock Price History Chart
There are several ways to analyze Singha Stock price data. The simplest method is using a basic Singha candlestick price chart, which shows Singha Estate price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
| Highest Price | September 24, 2024 | 1.31 |
| Lowest Price | October 17, 2024 | 0.0 |
Singha Estate December 23, 2024 Stock Price Synopsis
Various analyses of Singha Estate's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Singha Stock. It can be used to describe the percentage change in the price of Singha Estate from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Singha Stock.| Singha Estate Price Daily Balance Of Power | 0.50 | |
| Singha Estate Price Action Indicator | 0.02 | |
| Singha Estate Price Rate Of Daily Change | 1.01 |
Singha Estate December 23, 2024 Stock Price Analysis
Singha Stock Price History Data
The price series of Singha Estate for the period between Tue, Sep 24, 2024 and Mon, Dec 23, 2024 has a statistical range of 1.31 with a coefficient of variation of 20.85. The price distribution for the period has arithmetic mean of 1.15. The median price for the last 90 days is 1.31. The company completed stock split (11:10) on 7th of March 2013. Singha Estate Public had dividends distributed to its stock-holders on 2020-05-05.| Open | High | Low | Close | Volume | ||
12/23/2024 | 0.90 | 0.91 | 0.89 | 0.91 | ||
| 12/20/2024 | 0.90 | 0.91 | 0.89 | 0.91 | 1,337,600 | |
| 12/19/2024 | 0.90 | 0.90 | 0.89 | 0.90 | 48,900 | |
| 12/18/2024 | 0.92 | 0.93 | 0.90 | 0.92 | 13,200 | |
| 12/17/2024 | 0.92 | 0.92 | 0.92 | 0.92 | 14,700 | |
| 12/16/2024 | 0.92 | 0.92 | 0.92 | 0.92 | 1.00 | |
| 12/13/2024 | 0.92 | 0.93 | 0.92 | 0.92 | 35,700 | |
| 12/12/2024 | 0.94 | 0.95 | 0.93 | 0.94 | 10,700 | |
| 12/11/2024 | 0.92 | 0.92 | 0.92 | 0.92 | 1.00 | |
| 12/09/2024 | 0.92 | 0.92 | 0.92 | 0.92 | 1.00 | |
| 12/06/2024 | 0.92 | 0.92 | 0.92 | 0.92 | 1.00 | |
| 12/04/2024 | 0.92 | 0.94 | 0.92 | 0.92 | 49,500 | |
| 12/03/2024 | 0.94 | 0.94 | 0.89 | 0.94 | 140,200 | |
| 12/02/2024 | 0.87 | 0.87 | 0.87 | 0.87 | 1.00 | |
| 11/29/2024 | 0.87 | 0.88 | 0.87 | 0.87 | 21,000 | |
| 11/28/2024 | 0.86 | 0.88 | 0.86 | 0.86 | 110,100 | |
| 11/27/2024 | 0.89 | 0.90 | 0.89 | 0.89 | 72,200 | |
| 11/26/2024 | 0.92 | 0.92 | 0.91 | 0.92 | 54,100 | |
| 11/25/2024 | 0.88 | 0.88 | 0.88 | 0.88 | 1.00 | |
| 11/22/2024 | 0.88 | 0.89 | 0.88 | 0.88 | 148,900 | |
| 11/21/2024 | 0.89 | 0.90 | 0.89 | 0.89 | 34,500 | |
| 11/20/2024 | 0.90 | 0.90 | 0.90 | 0.90 | 111,300 | |
| 11/19/2024 | 0.87 | 0.89 | 0.87 | 0.87 | 175,800 | |
| 11/18/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 11/15/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 11/14/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 11/13/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 11/12/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 11/11/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 11/08/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 11/07/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 11/06/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 11/05/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 11/04/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 11/01/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/31/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/30/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/29/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/28/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/25/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/24/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/22/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/21/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/18/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/17/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 10/16/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/15/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/11/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/10/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/09/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/08/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/07/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/04/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/03/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/02/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 10/01/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 09/30/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 09/27/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 09/26/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 09/25/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 | |
| 09/24/2024 | 1.31 | 1.31 | 1.31 | 1.31 | 1.00 |
About Singha Estate Stock history
Singha Estate investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Singha is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Singha Estate Public will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Singha Estate stock prices may prove useful in developing a viable investing in Singha Estate
Singha Estate Public Company Limited, together with its subsidiaries, develops and invests in real estate for rental and sale in Thailand and internationally. Singha Estate Public Company Limited was founded in 1995 and is headquartered in Bangkok, Thailand. Singha Estate is traded on Stock Exchange of Thailand in Thailand.
Singha Estate Stock Technical Analysis
Singha Estate technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
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Singha Estate Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Singha Estate's price direction in advance. Along with the technical and fundamental analysis of Singha Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Singha to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.43) | |||
| Total Risk Alpha | (0.56) | |||
| Treynor Ratio | 1.3 |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Other Information on Investing in Singha Stock
Singha Estate financial ratios help investors to determine whether Singha Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Singha with respect to the benefits of owning Singha Estate security.