Gulistan Spinning Stock Forecast - Price Action Indicator
| GUSM Stock | 8.23 0.53 6.05% |
Gulistan |
| Previous Price Action Indicator | Price Action Indicator | Trend |
| (0.26) | (1.03) |
| Check Gulistan Spinning Volatility | Backtest Gulistan Spinning | Trend Details |
Gulistan Spinning Trading Date Momentum
| On December 09 2024 Gulistan Spinning Mills was traded for 9.52 at the closing time. The highest price during the trading period was 9.64 and the lowest recorded bid was listed for 8.40 . The volume for the day was 10.9 K. This history from December 9, 2024 contributed to the next trading day price jump. The overall trading delta to the next closing price was 7.09% . The overall trading delta to the current price is 6.75% . |
Price Action Indicator (or PAIN) was developed by Michael B. Geraty and published in 'Futures' magazine in August 1997.
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Gulistan Spinning 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 Gulistan Spinning stock to make a market-neutral strategy. Peer analysis of Gulistan Spinning could also be used in its relative valuation, which is a method of valuing Gulistan Spinning by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Gulistan Spinning Market Strength Events
Market strength indicators help investors to evaluate how Gulistan Spinning stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Gulistan Spinning shares will generate the highest return on investment. By undertsting and applying Gulistan Spinning stock market strength indicators, traders can identify Gulistan Spinning Mills entry and exit signals to maximize returns.
Pair Trading with Gulistan Spinning
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 Gulistan Spinning 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 Gulistan Spinning will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Gulistan Spinning could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Gulistan Spinning 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 Gulistan Spinning - 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 Gulistan Spinning Mills to buy it.
The correlation of Gulistan Spinning 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 Gulistan Spinning moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Gulistan Spinning Mills 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 Gulistan Spinning 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.