Khalid Siraj Stock Forecast - Accumulation Distribution
| KSTM Stock | 8.50 1.28 13.09% |
Khalid |
| Previous Accumulation Distribution | Accumulation Distribution | Trend |
| 8815.52 | 6724.34 |
| Check Khalid Siraj Volatility | Backtest Khalid Siraj | Trend Details |
Khalid Siraj Trading Date Momentum
| On September 12 2024 Khalid Siraj Textile was traded for 8.13 at the closing time. The highest price during the trading period was 8.22 and the lowest recorded bid was listed for 6.90 . The volume for the day was 357.6 K. This history from September 12, 2024 contributed to the next trading day price jump. The trading delta at closing time to the next closing price was 12.60% . The trading delta at closing time to the current price is 0.28% . |
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
Compare Khalid Siraj to competition
Khalid Siraj 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 Khalid Siraj stock to make a market-neutral strategy. Peer analysis of Khalid Siraj could also be used in its relative valuation, which is a method of valuing Khalid Siraj by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Khalid Siraj Market Strength Events
Market strength indicators help investors to evaluate how Khalid Siraj stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Khalid Siraj shares will generate the highest return on investment. By undertsting and applying Khalid Siraj stock market strength indicators, traders can identify Khalid Siraj Textile entry and exit signals to maximize returns.
Pair Trading with Khalid Siraj
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 Khalid Siraj 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 Khalid Siraj will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Khalid Siraj could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Khalid Siraj 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 Khalid Siraj - 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 Khalid Siraj Textile to buy it.
The correlation of Khalid Siraj 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 Khalid Siraj moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Khalid Siraj Textile 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 Khalid Siraj 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.