ALM Offensif Fund Forecast - Daily Balance Of Power
| 0P00000GIZ | EUR 321.68 2.16 0.68% |
ALM Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast ALM Offensif stock prices and determine the direction of ALM Offensif's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of ALM Offensif's historical fundamentals, such as revenue growth or operating cash flow patterns.
ALM |
| Check ALM Offensif Volatility | Backtest ALM Offensif | Information Ratio |
ALM Offensif Trading Date Momentum
| On December 22 2024 ALM Offensif was traded for 321.68 at the closing time. The highest price during the trading period was 321.68 and the lowest recorded bid was listed for 321.68 . There was no trading activity during the period 0.0. Lack of trading volume on December 22, 2024 did not affect price variability. The overall trading delta to the current price is 0.00% . |
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 ALM Offensif to competition |
Other Forecasting Options for ALM Offensif
For every potential investor in ALM, whether a beginner or expert, ALM Offensif's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. ALM Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in ALM. Basic forecasting techniques help filter out the noise by identifying ALM Offensif's price trends.ALM Offensif 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 ALM Offensif fund to make a market-neutral strategy. Peer analysis of ALM Offensif could also be used in its relative valuation, which is a method of valuing ALM Offensif by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ALM Offensif Technical and Predictive Analytics
The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of ALM Offensif'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 ALM Offensif's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
ALM Offensif Market Strength Events
Market strength indicators help investors to evaluate how ALM Offensif fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ALM Offensif shares will generate the highest return on investment. By undertsting and applying ALM Offensif fund market strength indicators, traders can identify ALM Offensif entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 321.68 | |||
| Day Typical Price | 321.68 | |||
| Price Action Indicator | 1.08 | |||
| Period Momentum Indicator | 2.16 | |||
| Relative Strength Index | 69.29 |
ALM Offensif Risk Indicators
The analysis of ALM Offensif'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 ALM Offensif's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alm 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 | 0.3386 | |||
| Semi Deviation | 0.2203 | |||
| Standard Deviation | 0.4575 | |||
| Variance | 0.2093 | |||
| Downside Variance | 0.1652 | |||
| Semi Variance | 0.0485 | |||
| Expected Short fall | (0.41) |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in ALM Fund
ALM Offensif financial ratios help investors to determine whether ALM 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 ALM with respect to the benefits of owning ALM Offensif security.
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. |