Meta Data Stock Forecast - Accumulation Distribution
Meta Stock Forecast is based on your current time horizon.
Meta |
| Previous Accumulation Distribution | Accumulation Distribution | Trend |
| 9.5 M | 1.8 M |
| Check Meta Data Volatility | Backtest Meta Data | Trend Details |
Meta Data Trading Date Momentum
| On July 31 2024 Meta Data was traded for 5.00 at the closing time. Highest Meta Data's price during the trading hours was 5.95 and the lowest price during the day was 4.30 . The net volume was 581.3 K. The overall trading history on the 31st of July contributed to the next trading period price depreciation. The overall trading delta to the next next day price was 1.19% . The trading delta at closing time to current price is 41.70% . |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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.
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |