Meta Data Stock Forecast - Accumulation Distribution
Meta Stock Forecast is based on your current time horizon.
Meta |
| Previous Accumulation Distribution | Accumulation Distribution | Trend |
| 167.0 | 623.26 |
| Check Meta Data Volatility | Backtest Meta Data | Trend Details |
Meta Data Trading Date Momentum
| On July 08 2024 Meta Data was traded for 2.33 at the closing time. Highest Meta Data's price during the trading hours was 2.58 and the lowest price during the day was 2.15 . The net volume was 3.7 K. The overall trading history on the 8th of July contributed to the next trading period price depreciation. The overall trading delta to the next next day price was 4.12% . The trading delta at closing time to current price is 2.88% . |
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
Compare Meta Data to competition
View Meta Data Related Equities
| Risk & Return | Correlation |
Meta Data Risk Indicators
The analysis of Meta Data's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Meta Data's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting meta stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 7.91 | |||
| Standard Deviation | 15.38 | |||
| Variance | 236.5 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Thematic Opportunities
Explore Investment Opportunities
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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.
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |