ALM ES Fund Forecast - Accumulation Distribution
| 0P0001NBQF | 129.40 0.00 0.00% |
ALM |
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ALM ES Trading Date Momentum
| On November 28 2024 ALM ES Actions was traded for 130.38 at the closing time. The highest price during the trading period was 130.38 and the lowest recorded bid was listed for 130.38 . There was no trading activity during the period 1.0. Lack of trading volume on November 28, 2024 contributed to the next trading day price boost. The daily price change to the next closing price was 0.28% . The overall trading delta to the current price is 1.24% . |
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
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Other Forecasting Options for ALM ES
For every potential investor in ALM, whether a beginner or expert, ALM ES'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 ES's price trends.ALM ES 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 ES fund to make a market-neutral strategy. Peer analysis of ALM ES could also be used in its relative valuation, which is a method of valuing ALM ES by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ALM ES Actions 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 ES'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 ES's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
ALM ES Market Strength Events
Market strength indicators help investors to evaluate how ALM ES 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 ES shares will generate the highest return on investment. By undertsting and applying ALM ES fund market strength indicators, traders can identify ALM ES Actions entry and exit signals to maximize returns.
ALM ES Risk Indicators
The analysis of ALM ES'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 ES'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 | 0.4571 | |||
| Semi Deviation | 0.5753 | |||
| Standard Deviation | 0.68 | |||
| Variance | 0.4624 | |||
| Downside Variance | 0.4238 | |||
| Semi Variance | 0.331 | |||
| Expected Short fall | (0.52) |
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.
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