LIG ES (Korea) Price History
220260 Stock | KRW 4,365 70.00 1.63% |
If you're considering investing in LIG Stock, it is important to understand the factors that can impact its price. As of today, the current price of LIG ES stands at 4,365, as last reported on the 28th of March, with the highest price reaching 4,950 and the lowest price hitting 4,205 during the day. LIG ES SPAC has Sharpe Ratio of -0.053, which conveys that the firm had a -0.053 % return per unit of risk over the last 3 months. LIG ES exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify LIG ES's mean deviation of 2.79, and Risk Adjusted Performance of 0.1009 to check out the risk estimate we provide.
LIG Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
LIG |
Sharpe Ratio = -0.053
Best Portfolio | Best Equity | |||
Good Returns | ||||
Average Returns | ||||
Small Returns | ||||
Cash | Small Risk | Average Risk | High Risk | Huge Risk |
Negative Returns | 220260 |
Estimated Market Risk
2.94 actual daily | 26 74% of assets are more volatile |
Expected Return
-0.16 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
-0.05 actual daily | 0 Most of other assets perform better |
Based on monthly moving average LIG ES is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of LIG ES by adding LIG ES to a well-diversified portfolio.
LIG ES Stock Price History Chart
There are several ways to analyze LIG Stock price data. The simplest method is using a basic LIG candlestick price chart, which shows LIG ES price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
Highest Price | January 16, 2025 | 5120.0 |
Lowest Price | March 25, 2025 | 4210.0 |
LIG ES March 28, 2025 Stock Price Synopsis
Various analyses of LIG ES's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell LIG Stock. It can be used to describe the percentage change in the price of LIG ES from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of LIG Stock.LIG ES Market Facilitation Index | 0.0006 | |
LIG ES Accumulation Distribution | 189,044 | |
LIG ES Price Daily Balance Of Power | 0.09 | |
LIG ES Price Rate Of Daily Change | 1.02 | |
LIG ES Price Action Indicator | (177.50) |
LIG ES March 28, 2025 Stock Price Analysis
LIG Stock Price History Data
The price series of LIG ES for the period between Sat, Dec 28, 2024 and Fri, Mar 28, 2025 has a statistical range of 1785.0 with a coefficient of variation of 7.56. The prices are distributed with arithmetic mean of 4598.79. The median price for the last 90 days is 4660.0.Open | High | Low | Close | Volume | ||
03/27/2025 | 4,285 | 4,950 | 4,205 | 4,365 | 1,256,066 | |
03/26/2025 | 4,210 | 4,345 | 4,165 | 4,295 | 78,140 | |
03/25/2025 | 4,300 | 4,400 | 4,210 | 4,210 | 63,305 | |
03/24/2025 | 4,335 | 4,380 | 4,290 | 4,295 | 53,228 | |
03/21/2025 | 4,400 | 4,400 | 4,260 | 4,315 | 52,418 | |
03/20/2025 | 4,405 | 4,520 | 4,310 | 4,320 | 93,525 | |
03/19/2025 | 4,480 | 4,535 | 4,425 | 4,450 | 71,878 | |
03/18/2025 | 4,565 | 4,680 | 4,490 | 4,490 | 112,829 | |
03/17/2025 | 4,745 | 4,745 | 4,550 | 4,565 | 97,154 | |
03/14/2025 | 4,645 | 4,755 | 4,610 | 4,670 | 107,655 | |
03/13/2025 | 4,405 | 5,000 | 4,405 | 4,645 | 1,389,321 | |
03/12/2025 | 4,280 | 4,400 | 4,280 | 4,370 | 45,419 | |
03/11/2025 | 4,140 | 4,335 | 4,135 | 4,280 | 50,102 | |
03/10/2025 | 4,380 | 4,460 | 4,360 | 4,400 | 47,614 | |
03/07/2025 | 4,430 | 4,520 | 4,350 | 4,415 | 55,728 | |
03/06/2025 | 4,480 | 4,550 | 4,400 | 4,430 | 104,893 | |
03/05/2025 | 4,260 | 4,450 | 4,260 | 4,450 | 41,128 | |
03/04/2025 | 4,470 | 4,490 | 4,280 | 4,300 | 111,656 | |
02/28/2025 | 4,650 | 4,650 | 4,440 | 4,495 | 108,772 | |
02/27/2025 | 4,765 | 4,790 | 4,625 | 4,660 | 88,950 | |
02/26/2025 | 4,720 | 4,795 | 4,660 | 4,740 | 70,058 | |
02/25/2025 | 4,700 | 4,845 | 4,650 | 4,705 | 86,409 | |
02/24/2025 | 4,655 | 4,780 | 4,620 | 4,750 | 95,279 | |
02/21/2025 | 4,680 | 4,765 | 4,660 | 4,705 | 69,238 | |
02/20/2025 | 4,825 | 4,850 | 4,680 | 4,695 | 170,000 | |
02/19/2025 | 4,835 | 4,885 | 4,800 | 4,825 | 154,717 | |
02/18/2025 | 4,875 | 4,910 | 4,770 | 4,810 | 140,694 | |
02/17/2025 | 4,750 | 4,965 | 4,735 | 4,910 | 249,197 | |
02/14/2025 | 4,835 | 4,840 | 4,710 | 4,800 | 183,537 | |
02/13/2025 | 4,820 | 4,945 | 4,790 | 4,830 | 201,712 | |
02/12/2025 | 4,865 | 4,920 | 4,770 | 4,820 | 191,254 | |
02/11/2025 | 5,020 | 5,020 | 4,900 | 4,905 | 243,861 | |
02/10/2025 | 4,935 | 5,050 | 4,855 | 5,050 | 391,639 | |
02/07/2025 | 4,700 | 5,580 | 4,690 | 4,985 | 6,802,419 | |
02/06/2025 | 4,420 | 4,500 | 4,380 | 4,500 | 74,713 | |
02/05/2025 | 4,390 | 4,500 | 4,390 | 4,420 | 75,476 | |
02/04/2025 | 4,335 | 4,430 | 4,255 | 4,345 | 123,078 | |
02/03/2025 | 4,400 | 4,700 | 4,280 | 4,370 | 327,088 | |
01/31/2025 | 4,440 | 4,480 | 4,325 | 4,340 | 60,307 | |
01/24/2025 | 4,475 | 4,625 | 4,360 | 4,430 | 144,726 | |
01/23/2025 | 4,560 | 4,560 | 4,435 | 4,455 | 189,498 | |
01/22/2025 | 4,725 | 4,755 | 4,600 | 4,600 | 216,187 | |
01/21/2025 | 5,060 | 5,060 | 4,720 | 4,725 | 359,140 | |
01/20/2025 | 5,010 | 5,240 | 4,975 | 5,040 | 385,481 | |
01/17/2025 | 5,040 | 5,090 | 4,950 | 5,010 | 250,066 | |
01/16/2025 | 5,030 | 5,180 | 4,990 | 5,120 | 559,244 | |
01/15/2025 | 5,020 | 5,050 | 4,790 | 4,805 | 327,745 | |
01/14/2025 | 5,100 | 5,150 | 4,925 | 4,940 | 436,447 | |
01/13/2025 | 4,900 | 5,540 | 4,750 | 5,100 | 4,031,810 | |
01/10/2025 | 4,900 | 4,900 | 4,665 | 4,750 | 171,683 | |
01/09/2025 | 4,825 | 4,845 | 4,590 | 4,830 | 324,641 | |
01/08/2025 | 4,900 | 4,930 | 4,815 | 4,820 | 272,306 | |
01/07/2025 | 5,100 | 5,120 | 4,940 | 4,945 | 400,545 | |
01/06/2025 | 5,030 | 5,230 | 4,860 | 5,090 | 1,026,245 | |
01/03/2025 | 4,950 | 5,130 | 4,935 | 5,040 | 837,293 | |
01/02/2025 | 4,895 | 5,040 | 4,765 | 4,970 | 844,151 | |
12/30/2024 | 4,330 | 5,350 | 4,330 | 4,885 | 6,047,808 | |
12/27/2024 | 4,750 | 4,795 | 4,435 | 4,450 | 540,076 | |
12/26/2024 | 4,810 | 5,290 | 4,710 | 4,840 | 1,475,586 | |
12/24/2024 | 4,930 | 5,800 | 4,735 | 4,770 | 10,201,100 | |
12/23/2024 | 4,535 | 4,625 | 4,385 | 4,565 | 1,124,182 |
About LIG ES Stock history
LIG ES investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for LIG is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in LIG ES SPAC will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing LIG ES stock prices may prove useful in developing a viable investing in LIG ES
Chemtros Co., Ltd. engages in the manufacture and sale of chemical intermediates, and applied materials and adhesives in South Korea. Chemtros Co., Ltd. was founded in 2006 and is headquartered in Ansan, South Korea. Chemtros is traded on Korean Securities Dealers Automated Quotations in South Korea.
LIG ES Stock Technical Analysis
LIG ES technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Did you try this?
Run Pattern Recognition Now
Pattern RecognitionUse different Pattern Recognition models to time the market across multiple global exchanges |
All Next | Launch Module |
LIG ES Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for LIG ES's price direction in advance. Along with the technical and fundamental analysis of LIG Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of LIG to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
Risk Adjusted Performance | 0.1009 | |||
Jensen Alpha | 0.489 | |||
Total Risk Alpha | 0.6144 | |||
Sortino Ratio | 0.1824 | |||
Treynor Ratio | 1.19 |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Complementary Tools for LIG Stock analysis
When running LIG ES's price analysis, check to measure LIG ES's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy LIG ES is operating at the current time. Most of LIG ES's value examination focuses on studying past and present price action to predict the probability of LIG ES's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move LIG ES's price. Additionally, you may evaluate how the addition of LIG ES to your portfolios can decrease your overall portfolio volatility.
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |