Meta Data Price on September 20, 2023
If you're considering investing in Meta Stock, it is important to understand the factors that can impact its price. We have found fifteen technical indicators for Meta Data, which you can use to evaluate the volatility of the firm. Please verify Meta Data's Standard Deviation of 15.38, mean deviation of 7.91, and Risk Adjusted Performance of (0.04) to check out if the risk estimate we provide is consistent with the expected return of 0.0%.
Meta Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Meta |
Sharpe Ratio = 0.0
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | ||||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| AIU |
Based on monthly moving average Meta Data 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 Meta Data by adding Meta Data to a well-diversified portfolio.
Meta Data Valuation on September 20, 2023
It is possible to determine the worth of Meta Data on a given historical date. On September 20, 2023 Meta was worth 4.95 at the beginning of the trading date compared to the closed value of 5.0. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Meta Data stock. Still, in general, we apply an absolute valuation method to find Meta Data'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 Meta Data where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Meta Data's related companies.
| Open | High | Low | Close | Volume | |
| 5.45 | 5.45 | 5.00 | 5.00 | 6,807 | |
09/20/2023 | 4.95 | 5.20 | 4.95 | 5.00 | 1,188 |
| 5.00 | 5.25 | 5.00 | 5.25 | 413.00 |
| Backtest Meta Data | | | Meta Data History | | | Meta Data Valuation | Previous | Next |
Meta Data Trading Date Momentum on September 20, 2023
| On September 21 2023 Meta Data was traded for 5.25 at the closing time. Highest Meta Data's price during the trading hours was 5.25 and the lowest price during the day was 5.00 . The net volume was 413. The overall trading history on the 21st of September contributed to the next trading period price appreciation. The overall trading delta to the next next day price was 5.00% . The trading delta at closing time to current price is 6.00% . |
Meta Data Fundamentals Correlations and Trends
By evaluating Meta Data's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Meta Data's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Meta financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Meta Data Stock history
Meta Data 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 Meta is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Meta Data 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 Meta Data stock prices may prove useful in developing a viable investing in Meta Data
Meta Data Limited provides tutoring services for the students of kindergarten and primary, middle, and high schools in the Peoples Republic of China. Meta Data Limited was founded in 2007 and is headquartered in Shanghai, the Peoples Republic of China. Meta Data operates under Education Training Services classification in the United States and is traded on New York Stock Exchange. It employs 13497 people.
Meta Data Stock Technical Analysis
Meta Data 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, delisted stock market cycles, or different charting patterns.
Price Boundaries
Meta Data Period Price Range
Low | December 24, 2024
| High |
0.00 | 0.00 |
Meta Data cannot be verified against its exchange. Please verify the symbol is currently traded on New York Stock Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Meta Data December 24, 2024 Market Strength
Market strength indicators help investors to evaluate how Meta Data stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Meta Data shares will generate the highest return on investment. By undertsting and applying Meta Data stock market strength indicators, traders can identify Meta Data entry and exit signals to maximize returns
Meta Data Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Meta Data's price direction in advance. Along with the technical and fundamental analysis of Meta Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Meta 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 | (0.04) | |||
| Jensen Alpha | (1.06) | |||
| Total Risk Alpha | (1.48) | |||
| Treynor Ratio | (0.76) |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Other Consideration for investing in Meta Stock
If you are still planning to invest in Meta Data check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Meta Data's history and understand the potential risks before investing.
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance |