UNISEM Stock Forecast - Accumulation Distribution
| 036200 Stock | KRW 6,060 170.00 2.89% |
UNISEM Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast UNISEM stock prices and determine the direction of UNISEM Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of UNISEM's historical fundamentals, such as revenue growth or operating cash flow patterns.
UNISEM |
| Previous Accumulation Distribution | Accumulation Distribution | Trend |
| 3331.11 | 3652.5 |
| Check UNISEM Volatility | Backtest UNISEM | Information Ratio |
UNISEM Trading Date Momentum
| On November 25 2024 UNISEM Co was traded for 6,060 at the closing time. The highest price during the trading period was 6,110 and the lowest recorded bid was listed for 5,910 . The volume for the day was 111.6 K. This history from November 25, 2024 did not result in any price rise and fall. The trading price change to the current price is 1.49% . |
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 UNISEM to competition |
Other Forecasting Options for UNISEM
For every potential investor in UNISEM, whether a beginner or expert, UNISEM's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. UNISEM Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in UNISEM. Basic forecasting techniques help filter out the noise by identifying UNISEM's price trends.UNISEM 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 UNISEM stock to make a market-neutral strategy. Peer analysis of UNISEM could also be used in its relative valuation, which is a method of valuing UNISEM by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
UNISEM Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of UNISEM'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 UNISEM's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
UNISEM Market Strength Events
Market strength indicators help investors to evaluate how UNISEM stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading UNISEM shares will generate the highest return on investment. By undertsting and applying UNISEM stock market strength indicators, traders can identify UNISEM Co entry and exit signals to maximize returns.
UNISEM Risk Indicators
The analysis of UNISEM'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 UNISEM's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting unisem stock 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 | 2.38 | |||
| Standard Deviation | 3.18 | |||
| Variance | 10.13 |
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 UNISEM
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 UNISEM 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 UNISEM will appreciate offsetting losses from the drop in the long position's value.Moving together with UNISEM Stock
The ability to find closely correlated positions to UNISEM could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace UNISEM 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 UNISEM - 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 UNISEM Co to buy it.
The correlation of UNISEM 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 UNISEM moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if UNISEM 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 UNISEM 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.Other Information on Investing in UNISEM Stock
UNISEM financial ratios help investors to determine whether UNISEM Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in UNISEM with respect to the benefits of owning UNISEM security.