Shinhan Leverage Etf Forecast - Price Action Indicator
500019 Etf | 890.00 9.00 1.02% |
Shinhan |
Check Shinhan Leverage Volatility | Backtest Shinhan Leverage | Information Ratio |
Shinhan Leverage Trading Date Momentum
On December 01 2024 Shinhan Leverage WTI was traded for 890.00 at the closing time. The highest price during the trading period was 891.00 and the lowest recorded bid was listed for 878.00 . There was no trading activity during the period 0.0. Lack of trading volume on December 1, 2024 did not result in any price rise and fall. The trading price change to the current price is 0.90% . |
Price Action Indicator (or PAIN) was developed by Michael B. Geraty and published in 'Futures' magazine in August 1997.
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Other Forecasting Options for Shinhan Leverage
For every potential investor in Shinhan, whether a beginner or expert, Shinhan Leverage's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Shinhan Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Shinhan. Basic forecasting techniques help filter out the noise by identifying Shinhan Leverage's price trends.Shinhan Leverage 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 Shinhan Leverage etf to make a market-neutral strategy. Peer analysis of Shinhan Leverage could also be used in its relative valuation, which is a method of valuing Shinhan Leverage by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Shinhan Leverage WTI Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Shinhan Leverage'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 Shinhan Leverage's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Shinhan Leverage Market Strength Events
Market strength indicators help investors to evaluate how Shinhan Leverage etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Shinhan Leverage shares will generate the highest return on investment. By undertsting and applying Shinhan Leverage etf market strength indicators, traders can identify Shinhan Leverage WTI entry and exit signals to maximize returns.
Shinhan Leverage Risk Indicators
The analysis of Shinhan Leverage'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 Shinhan Leverage's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting shinhan etf 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 | 3.23 | |||
Standard Deviation | 4.15 | |||
Variance | 17.26 |
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.
Pair Trading with Shinhan Leverage
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Shinhan Leverage position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Shinhan Leverage will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Shinhan Leverage could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Shinhan Leverage when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Shinhan Leverage - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Shinhan Leverage WTI to buy it.
The correlation of Shinhan Leverage is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Shinhan Leverage moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Shinhan Leverage WTI moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Shinhan Leverage can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.