Global Franchise Mutual Fund Forecast - Daily Balance Of Power
| MSGFX Fund | USD 36.22 0.06 0.17% |
Global Mutual Fund Forecast is based on your current time horizon.
Global |
| Check Global Franchise Volatility | Backtest Global Franchise | Trend Details |
Global Franchise Trading Date Momentum
| On November 06 2024 Global Franchise Portfolio was traded for 35.91 at the closing time. The highest daily price throughout the period was 35.91 and the lowest price was 35.91 . There was no trading activity during the period 1.0. Lack of trading volume on 11/06/2024 added to the next day price jump. The trading delta at closing time to closing price of the next trading day was 0.56% . The overall trading delta to current closing price is 1.09% . |
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 Global Franchise to competition |
Other Forecasting Options for Global Franchise
For every potential investor in Global, whether a beginner or expert, Global Franchise's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Global Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Global. Basic forecasting techniques help filter out the noise by identifying Global Franchise's price trends.Global Franchise Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Global Franchise mutual fund to make a market-neutral strategy. Peer analysis of Global Franchise could also be used in its relative valuation, which is a method of valuing Global Franchise by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Global Franchise Por Technical and Predictive Analytics
The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Global Franchise's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Global Franchise's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Global Franchise Market Strength Events
Market strength indicators help investors to evaluate how Global Franchise mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Global Franchise shares will generate the highest return on investment. By undertsting and applying Global Franchise mutual fund market strength indicators, traders can identify Global Franchise Portfolio entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 36.22 | |||
| Day Typical Price | 36.22 | |||
| Price Action Indicator | 0.03 | |||
| Period Momentum Indicator | 0.06 | |||
| Relative Strength Index | 57.82 |
Global Franchise Risk Indicators
The analysis of Global Franchise'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 Global Franchise's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting global mutual fund 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 | 0.4389 | |||
| Semi Deviation | 0.4725 | |||
| Standard Deviation | 0.5413 | |||
| Variance | 0.293 | |||
| Downside Variance | 0.3058 | |||
| Semi Variance | 0.2232 | |||
| Expected Short fall | (0.49) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Global Mutual Fund
Global Franchise financial ratios help investors to determine whether Global Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Global with respect to the benefits of owning Global Franchise security.
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |