Sivers IMA (Sweden) Pattern Recognition Hammer
| SIVE Stock | SEK 2.42 0.14 5.47% |
| Symbol |
Recognition |
The output start index for this execution was eleven with a total number of output elements of fifty. The function generated a total of two valid pattern recognition events for the selected time horizon. The Hammer describes Sivers IMA bullish reversal pattern.
Sivers IMA Technical Analysis Modules
Most technical analysis of Sivers IMA help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Sivers from various momentum indicators to cycle indicators. When you analyze Sivers charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Sivers IMA Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Sivers IMA Holding. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sivers IMA Holding based on widely used predictive technical indicators. In general, we focus on analyzing Sivers Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sivers IMA's daily price indicators and compare them against related drivers, such as pattern recognition and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Sivers IMA's intrinsic value. In addition to deriving basic predictive indicators for Sivers IMA, we also check how macroeconomic factors affect Sivers IMA price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Sivers IMA Holding pair trading
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 Sivers IMA 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 Sivers IMA will appreciate offsetting losses from the drop in the long position's value.Sivers IMA Pair Trading
Sivers IMA Holding Pair Trading Analysis
The ability to find closely correlated positions to Sivers IMA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sivers IMA 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 Sivers IMA - 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 Sivers IMA Holding to buy it.
The correlation of Sivers IMA 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 Sivers IMA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sivers IMA Holding 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 Sivers IMA 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.Additional Tools for Sivers Stock Analysis
When running Sivers IMA's price analysis, check to measure Sivers IMA's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Sivers IMA is operating at the current time. Most of Sivers IMA's value examination focuses on studying past and present price action to predict the probability of Sivers IMA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sivers IMA's price. Additionally, you may evaluate how the addition of Sivers IMA to your portfolios can decrease your overall portfolio volatility.