BCV Swiss Fund Forecast - Accumulation Distribution
| 0P0001QS4F | 107.50 0.00 0.00% |
BCV |
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BCV Swiss Trading Date Momentum
| On October 01 2024 BCV Swiss Franc was traded for 106.42 at the closing time. The highest price during the trading period was 106.42 and the lowest recorded bid was listed for 106.42 . There was no trading activity during the period 1.0. Lack of trading volume on October 1, 2024 contributed to the next trading day price gain. The daily price change to the next closing price was 0.08% . The overall trading delta to the current price is 0.20% . |
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 BCV Swiss
For every potential investor in BCV, whether a beginner or expert, BCV Swiss' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BCV Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BCV. Basic forecasting techniques help filter out the noise by identifying BCV Swiss' price trends.BCV Swiss 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 BCV Swiss fund to make a market-neutral strategy. Peer analysis of BCV Swiss could also be used in its relative valuation, which is a method of valuing BCV Swiss by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
BCV Swiss Franc 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 BCV Swiss' 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 BCV Swiss' current price.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
BCV Swiss Market Strength Events
Market strength indicators help investors to evaluate how BCV Swiss fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading BCV Swiss shares will generate the highest return on investment. By undertsting and applying BCV Swiss fund market strength indicators, traders can identify BCV Swiss Franc entry and exit signals to maximize returns.
BCV Swiss Risk Indicators
The analysis of BCV Swiss' 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 BCV Swiss' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bcv 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 | 0.0755 | |||
| Standard Deviation | 0.0984 | |||
| Variance | 0.0097 | |||
| Downside Variance | 0.0071 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.1) |
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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