Meta Data Stock Forecast - Daily Balance Of Power
Meta Stock Forecast is based on your current time horizon.
Meta |
| Previous Daily Balance Of Power | Daily Balance Of Power | Trend |
| 0.5385 | (0.62) |
| Check Meta Data Volatility | Backtest Meta Data | Trend Details |
Meta Data Trading Date Momentum
| On June 27 2024 Meta Data was traded for 2.10 at the closing time. Highest Meta Data's price during the trading hours was 2.10 and the lowest price during the day was 2.05 . The net volume was 2.2 K. The overall trading history on the 27th of June contributed to the next trading period price depreciation. The overall trading delta to the next next day price was 2.33% . The trading delta at closing time to current price is 2.33% . |
Balance of Power indicator was created by Igor Livshin to predict asset short term price movements or warning signals. If Balance of Power indicator is trended towards the high of its range it will signify that the bulls are in control. On the other hand when the BOP indicator is moving towards the lows of its range it signifies that the bears are in control. If the indicator move from a high positive range to a lower positive range it signifies that the buying pressure is decreasing. Conversely, if the indicator move from a low negative range to a higher negative range it signifies that the selling pressure is decreasing.
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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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.
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |