Lotte Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Lotte Data stock prices and determine the direction of Lotte Data Communication's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Lotte Data's historical fundamentals, such as revenue growth or operating cash flow patterns.
Lotte
Lotte Data Communication has current Accumulation Distribution of 1048.58. The accumulation distribution (A/D) indicator shows the degree to which Lotte Data is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of Lotte Data Communication to determine if accumulation or reduction is taking place in the market. This value is adjusted by Lotte Data trading volume to give more weight to distributions with higher volume over lower volume.
On November 26 2024 Lotte Data Communication was traded for 20,150 at the closing time. The highest price during the trading period was 20,150 and the lowest recorded bid was listed for 19,780 . The volume for the day was 57.1 K. This history from November 26, 2024 did not cause price change. The trading delta at closing time to the current price is 0.50% .
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
For every potential investor in Lotte, whether a beginner or expert, Lotte Data's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Lotte Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Lotte. Basic forecasting techniques help filter out the noise by identifying Lotte Data's price trends.
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 Lotte Data stock to make a market-neutral strategy. Peer analysis of Lotte Data could also be used in its relative valuation, which is a method of valuing Lotte Data by comparing valuation metrics with similar companies.
Lotte Data Communication 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 Lotte Data'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 Lotte Data's current price.
Market strength indicators help investors to evaluate how Lotte Data stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Lotte Data shares will generate the highest return on investment. By undertsting and applying Lotte Data stock market strength indicators, traders can identify Lotte Data Communication entry and exit signals to maximize returns.
The analysis of Lotte Data'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 Lotte Data's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lotte 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.
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 Lotte Data
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 Lotte Data 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 Lotte Data will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Lotte Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Lotte Data 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 Lotte Data - 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 Lotte Data Communication to buy it.
The correlation of Lotte Data 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 Lotte Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Lotte Data Communication 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 Lotte Data 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.
Lotte Data financial ratios help investors to determine whether Lotte 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 Lotte with respect to the benefits of owning Lotte Data security.