I-Components Stock Forecast - Daily Balance Of Power
| 059100 Stock | KRW 4,705 5.00 0.11% |
I-Components Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast I-Components stock prices and determine the direction of i Components Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of I-Components' historical fundamentals, such as revenue growth or operating cash flow patterns.
I-Components |
| Previous Daily Balance Of Power | Daily Balance Of Power | Trend |
| (0.80) | (0.55) |
| Check I-Components Volatility | Backtest I-Components | Trend Details |
I-Components Trading Date Momentum
| On December 18 2024 i Components Co was traded for 4,745 at the closing time. The highest price during the trading period was 4,750 and the lowest recorded bid was listed for 4,685 . The volume for the day was 10.6 K. This history from December 18, 2024 contributed to the next trading day price jump. The daily price change to the next closing price was 1.39% . The trading date delta to the current price is 0.21% . |
Balance of Power indicator was created by Igor Livshin to predict asset short term price movements or warning signals. If Balance of Power indicator is trended towards the high of its range it will signify that the bulls are in control. On the other hand when the BOP indicator is moving towards the lows of its range it signifies that the bears are in control. If the indicator move from a high positive range to a lower positive range it signifies that the buying pressure is decreasing. Conversely, if the indicator move from a low negative range to a higher negative range it signifies that the selling pressure is decreasing.
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Other Forecasting Options for I-Components
For every potential investor in I-Components, whether a beginner or expert, I-Components' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. I-Components Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in I-Components. Basic forecasting techniques help filter out the noise by identifying I-Components' price trends.I-Components 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 I-Components stock to make a market-neutral strategy. Peer analysis of I-Components could also be used in its relative valuation, which is a method of valuing I-Components by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
i Components 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 I-Components' 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 I-Components' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
I-Components Market Strength Events
Market strength indicators help investors to evaluate how I-Components stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading I-Components shares will generate the highest return on investment. By undertsting and applying I-Components stock market strength indicators, traders can identify i Components Co entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0105 | |||
| Daily Balance Of Power | (0.10) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 4725.0 | |||
| Day Typical Price | 4718.33 | |||
| Market Facilitation Index | 50.0 | |||
| Price Action Indicator | (22.50) | |||
| Period Momentum Indicator | (5.00) |
I-Components Risk Indicators
The analysis of I-Components' 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 I-Components' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting i-components 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 | 1.1 | |||
| Semi Deviation | 1.09 | |||
| Standard Deviation | 1.59 | |||
| Variance | 2.54 | |||
| Downside Variance | 1.88 | |||
| Semi Variance | 1.2 | |||
| Expected Short fall | (1.59) |
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 I-Components
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 I-Components 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 I-Components will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to I-Components could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace I-Components 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 I-Components - 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 i Components Co to buy it.
The correlation of I-Components 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 I-Components moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if i Components 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 I-Components 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 I-Components Stock
I-Components financial ratios help investors to determine whether I-Components 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 I-Components with respect to the benefits of owning I-Components security.