Choil Aluminum (Korea) Price History
018470 Stock | 1,559 35.00 2.20% |
If you're considering investing in Choil Stock, it is important to understand the factors that can impact its price. As of today, the current price of Choil Aluminum stands at 1,559, as last reported on the 29th of March, with the highest price reaching 1,604 and the lowest price hitting 1,554 during the day. Choil Aluminum appears to be very steady, given 3 months investment horizon. Choil Aluminum secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the company had a 0.12 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Choil Aluminum, which you can use to evaluate the volatility of the firm. Please makes use of Choil Aluminum's Mean Deviation of 1.35, risk adjusted performance of 0.0744, and Downside Deviation of 1.64 to double-check if our risk estimates are consistent with your expectations.
Choil Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Choil |
Sharpe Ratio = 0.1163
Best Portfolio | Best Equity | |||
Good Returns | ||||
Average Returns | ||||
Small Returns | 018470 | |||
Cash | Small Risk | Average Risk | High Risk | Huge Risk |
Negative Returns |
Estimated Market Risk
1.78 actual daily | 15 85% of assets are more volatile |
Expected Return
0.21 actual daily | 4 96% of assets have higher returns |
Risk-Adjusted Return
0.12 actual daily | 9 91% of assets perform better |
Based on monthly moving average Choil Aluminum is performing at about 9% of its full potential. 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 Choil Aluminum by adding it to a well-diversified portfolio.
Choil Aluminum Stock Price History Chart
There are several ways to analyze Choil Stock price data. The simplest method is using a basic Choil candlestick price chart, which shows Choil Aluminum 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 | March 7, 2025 | 1673.0 |
Lowest Price | December 27, 2024 | 1378.0 |
Choil Aluminum March 29, 2025 Stock Price Synopsis
Various analyses of Choil Aluminum's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Choil Stock. It can be used to describe the percentage change in the price of Choil Aluminum from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Choil Stock.Choil Aluminum Price Daily Balance Of Power | (0.70) | |
Choil Aluminum Market Facilitation Index | 0.0002 | |
Choil Aluminum Price Rate Of Daily Change | 0.98 | |
Choil Aluminum Price Action Indicator | (37.50) | |
Choil Aluminum Accumulation Distribution | 9,643 |
Choil Aluminum March 29, 2025 Stock Price Analysis
Choil Stock Price History Data
The price series of Choil Aluminum for the period between Sun, Dec 29, 2024 and Sat, Mar 29, 2025 has a statistical range of 295.0 with a coefficient of variation of 5.54. The prices are distributed with arithmetic mean of 1547.06. The median price for the last 90 days is 1559.0. The company had 10:1 stock split on 18th of April 2012. Choil Aluminum issued dividends on 2017-12-27.Open | High | Low | Close | Volume | ||
03/28/2025 | 1,595 | 1,604 | 1,554 | 1,559 | 309,351 | |
03/27/2025 | 1,610 | 1,626 | 1,594 | 1,594 | 305,075 | |
03/26/2025 | 1,592 | 1,635 | 1,590 | 1,630 | 387,139 | |
03/25/2025 | 1,601 | 1,628 | 1,585 | 1,592 | 323,655 | |
03/24/2025 | 1,603 | 1,626 | 1,586 | 1,607 | 211,870 | |
03/21/2025 | 1,610 | 1,627 | 1,576 | 1,610 | 425,220 | |
03/20/2025 | 1,639 | 1,648 | 1,615 | 1,616 | 294,732 | |
03/19/2025 | 1,636 | 1,644 | 1,597 | 1,643 | 344,020 | |
03/18/2025 | 1,631 | 1,650 | 1,623 | 1,633 | 321,535 | |
03/17/2025 | 1,699 | 1,700 | 1,594 | 1,623 | 482,360 | |
03/14/2025 | 1,645 | 1,690 | 1,645 | 1,652 | 384,444 | |
03/13/2025 | 1,668 | 1,690 | 1,652 | 1,652 | 733,806 | |
03/12/2025 | 1,630 | 1,704 | 1,630 | 1,668 | 1,473,379 | |
03/11/2025 | 1,598 | 1,633 | 1,580 | 1,625 | 540,362 | |
03/10/2025 | 1,670 | 1,800 | 1,625 | 1,640 | 4,319,182 | |
03/07/2025 | 1,635 | 1,717 | 1,630 | 1,673 | 2,341,839 | |
03/06/2025 | 1,613 | 1,670 | 1,609 | 1,644 | 866,097 | |
03/05/2025 | 1,545 | 1,612 | 1,545 | 1,611 | 501,803 | |
03/04/2025 | 1,590 | 1,594 | 1,543 | 1,562 | 432,089 | |
02/28/2025 | 1,607 | 1,629 | 1,590 | 1,596 | 416,233 | |
02/27/2025 | 1,645 | 1,649 | 1,606 | 1,621 | 399,922 | |
02/26/2025 | 1,630 | 1,663 | 1,624 | 1,645 | 455,227 | |
02/25/2025 | 1,635 | 1,665 | 1,630 | 1,630 | 632,935 | |
02/24/2025 | 1,630 | 1,649 | 1,620 | 1,649 | 365,802 | |
02/21/2025 | 1,629 | 1,660 | 1,622 | 1,645 | 665,689 | |
02/20/2025 | 1,626 | 1,638 | 1,613 | 1,625 | 621,806 | |
02/19/2025 | 1,615 | 1,656 | 1,603 | 1,627 | 722,101 | |
02/18/2025 | 1,623 | 1,623 | 1,593 | 1,612 | 501,833 | |
02/17/2025 | 1,607 | 1,626 | 1,600 | 1,623 | 544,565 | |
02/14/2025 | 1,601 | 1,621 | 1,590 | 1,605 | 561,244 | |
02/13/2025 | 1,577 | 1,617 | 1,558 | 1,602 | 1,050,948 | |
02/12/2025 | 1,610 | 1,625 | 1,574 | 1,577 | 1,993,596 | |
02/11/2025 | 1,588 | 1,700 | 1,525 | 1,646 | 12,485,973 | |
02/10/2025 | 1,611 | 1,786 | 1,544 | 1,556 | 11,192,920 | |
02/07/2025 | 1,534 | 1,540 | 1,506 | 1,525 | 284,184 | |
02/06/2025 | 1,463 | 1,581 | 1,463 | 1,533 | 1,226,094 | |
02/05/2025 | 1,440 | 1,502 | 1,439 | 1,470 | 349,523 | |
02/04/2025 | 1,421 | 1,460 | 1,419 | 1,446 | 304,682 | |
02/03/2025 | 1,452 | 1,469 | 1,419 | 1,427 | 348,379 | |
01/31/2025 | 1,459 | 1,497 | 1,459 | 1,478 | 285,087 | |
01/24/2025 | 1,504 | 1,509 | 1,487 | 1,498 | 163,425 | |
01/23/2025 | 1,528 | 1,541 | 1,488 | 1,504 | 375,885 | |
01/22/2025 | 1,530 | 1,535 | 1,516 | 1,527 | 256,218 | |
01/21/2025 | 1,543 | 1,547 | 1,514 | 1,526 | 291,617 | |
01/20/2025 | 1,543 | 1,556 | 1,533 | 1,542 | 258,976 | |
01/17/2025 | 1,527 | 1,559 | 1,524 | 1,543 | 293,545 | |
01/16/2025 | 1,539 | 1,560 | 1,525 | 1,542 | 358,102 | |
01/15/2025 | 1,507 | 1,619 | 1,507 | 1,539 | 2,120,904 | |
01/14/2025 | 1,473 | 1,520 | 1,472 | 1,507 | 615,198 | |
01/13/2025 | 1,459 | 1,475 | 1,448 | 1,473 | 301,810 | |
01/10/2025 | 1,462 | 1,476 | 1,457 | 1,474 | 142,107 | |
01/09/2025 | 1,463 | 1,472 | 1,446 | 1,471 | 213,169 | |
01/08/2025 | 1,454 | 1,465 | 1,444 | 1,463 | 297,811 | |
01/07/2025 | 1,455 | 1,473 | 1,447 | 1,454 | 199,446 | |
01/06/2025 | 1,440 | 1,467 | 1,431 | 1,456 | 276,250 | |
01/03/2025 | 1,414 | 1,456 | 1,411 | 1,443 | 344,666 | |
01/02/2025 | 1,386 | 1,414 | 1,386 | 1,414 | 161,928 | |
12/30/2024 | 1,365 | 1,402 | 1,359 | 1,395 | 172,132 | |
12/27/2024 | 1,400 | 1,416 | 1,378 | 1,378 | 163,014 | |
12/26/2024 | 1,431 | 1,436 | 1,400 | 1,400 | 235,172 | |
12/24/2024 | 1,443 | 1,466 | 1,422 | 1,430 | 465,781 |
About Choil Aluminum Stock history
Choil Aluminum 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 Choil is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Choil Aluminum 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 Choil Aluminum stock prices may prove useful in developing a viable investing in Choil Aluminum
Choil Aluminum Stock Technical Analysis
Choil Aluminum 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.
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Choil Aluminum Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Choil Aluminum's price direction in advance. Along with the technical and fundamental analysis of Choil Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Choil 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 | 0.0744 | |||
Jensen Alpha | 0.1649 | |||
Total Risk Alpha | 0.2421 | |||
Sortino Ratio | 0.1132 | |||
Treynor Ratio | 0.2147 |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Complementary Tools for Choil Stock analysis
When running Choil Aluminum's price analysis, check to measure Choil Aluminum'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 Choil Aluminum is operating at the current time. Most of Choil Aluminum's value examination focuses on studying past and present price action to predict the probability of Choil Aluminum's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Choil Aluminum's price. Additionally, you may evaluate how the addition of Choil Aluminum to your portfolios can decrease your overall portfolio volatility.
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
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