Real Estate (Vietnam) Price on December 3, 2024
| D11 Stock | 10,700 400.00 3.64% |
If you're considering investing in Real Stock, it is important to understand the factors that can impact its price. As of today, the current price of Real Estate stands at 10,600, as last reported on the 11th of December 2024, with the highest price reaching 11,000 and the lowest price hitting 10,300 during the day. Real Estate 11 maintains Sharpe Ratio (i.e., Efficiency) of -0.0706, which implies the firm had a -0.0706% return per unit of risk over the last 3 months. Real Estate 11 exposes eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Real Estate's Market Facilitation Index of 700.0, day median price of 10650.0, and Accumulation Distribution of 0.0636 to confirm the risk estimate we provide.
Real Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Real |
Sharpe Ratio = 0.0
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Based on monthly moving average Real Estate is not performing at its full potential. However, 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 Real Estate by adding Real Estate to a well-diversified portfolio.
Real Estate Valuation on December 3, 2024
It is possible to determine the worth of Real Estate on a given historical date. On December 3, 2024 Real was worth 10200.0 at the beginning of the trading date compared to the closed value of 10400.0. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Real Estate stock. Still, in general, we apply an absolute valuation method to find Real Estate's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Real Estate where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Real Estate's related companies.
| Open | High | Low | Close | Volume | |
| 11,000 | 11,000 | 10,300 | 10,600 | 1,268 | |
12/03/2024 | 10,200 | 10,400 | 10,200 | 10,400 | 1,248 |
| 10,300 | 10,300 | 10,300 | 10,300 | 2,300 |
| Backtest Real Estate | | | Real Estate History | Previous | Next |
Real Estate Trading Date Momentum on December 3, 2024
| On December 04 2024 Real Estate 11 was traded for 10,300 at the closing time. The maximum traded price for the trading interval was 10,300 and the lowest daily price was 10,300 . The daily volume was recorded at 2.3 K. The volume of trading on 4th of December 2024 played a part in the next trading day price drop. The overall trading delta to the next closing price was 0.96% . The trading delta at closing time to the closing price today is 5.77% . |
Price Boundaries
Real Estate Period Price Range
Low | December 11, 2024
| High |
0.00 | 0.00 |
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Real Estate December 11, 2024 Market Strength
Market strength indicators help investors to evaluate how Real Estate stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Real Estate shares will generate the highest return on investment. By undertsting and applying Real Estate stock market strength indicators, traders can identify Real Estate 11 entry and exit signals to maximize returns
Real Estate Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Real Estate's price direction in advance. Along with the technical and fundamental analysis of Real Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Real 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.