Ssangyong Information (Korea) Price on May 25, 2023
| 010280 Stock | 620.00 5.00 0.80% |
If you're considering investing in Ssangyong Stock, it is important to understand the factors that can impact its price. As of today, the current price of Ssangyong Information stands at 620.00, as last reported on the 1st of December, with the highest price reaching 628.00 and the lowest price hitting 612.00 during the day. At this point, Ssangyong Information is very steady. Ssangyong Information owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0052, which indicates the firm had a 0.0052% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Ssangyong Information Communication, which you can use to evaluate the volatility of the company. Please validate Ssangyong Information's Risk Adjusted Performance of 0.0418, semi deviation of 0.9349, and Coefficient Of Variation of 1973.94 to confirm if the risk estimate we provide is consistent with the expected return of 0.0055%.
Ssangyong Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Ssangyong |
Sharpe Ratio = 0.0052
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | ||||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | 010280 |
Estimated Market Risk
| 1.06 actual daily | 9 91% of assets are more volatile |
Expected Return
| 0.01 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| 0.01 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Ssangyong Information 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 Ssangyong Information by adding Ssangyong Information to a well-diversified portfolio.
Ssangyong Information Valuation on May 25, 2023
It is possible to determine the worth of Ssangyong Information on a given historical date. On May 25, 2023 Ssangyong was worth 1037.0 at the beginning of the trading date compared to the closed value of 1009.0. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Ssangyong Information stock. Still, in general, we apply an absolute valuation method to find Ssangyong Information's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Ssangyong Information where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Ssangyong Information's related companies.
| Open | High | Low | Close | Volume | |
| 1,011 | 1,055 | 1,010 | 1,046 | 977,007 | |
05/25/2023 | 1,037 | 1,041 | 1,001 | 1,009 | 694,545 |
| 1,012 | 1,036 | 1,007 | 1,015 | 461,751 |
| Backtest Ssangyong Information | | | Ssangyong Information History | | | Ssangyong Information Valuation | Previous | Next |
Ssangyong Information Trading Date Momentum on May 25, 2023
| On May 26 2023 Ssangyong Information Communication was traded for 1,015 at the closing time. The highest price during the trading period was 1,036 and the lowest recorded bid was listed for 1,007 . The volume for the day was 461.8 K. This history from May 26, 2023 contributed to the next trading day price jump. The daily price change to the next closing price was 0.59% . The trading price change to the current price is 1.29% . |
About Ssangyong Information Stock history
Ssangyong Information 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 Ssangyong is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Ssangyong Information 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 Ssangyong Information stock prices may prove useful in developing a viable investing in Ssangyong Information
Ssangyong Information Stock Technical Analysis
Ssangyong Information 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.
Price Boundaries
Ssangyong Information Period Price Range
Low | December 1, 2024
| High |
0.00 | 0.00 |
Ssangyong Information Communication cannot be verified against its exchange. Please verify the symbol is currently traded on Korea Stock Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Ssangyong Information December 1, 2024 Market Strength
Market strength indicators help investors to evaluate how Ssangyong Information stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ssangyong Information shares will generate the highest return on investment. By undertsting and applying Ssangyong Information stock market strength indicators, traders can identify Ssangyong Information Communication entry and exit signals to maximize returns
Ssangyong Information Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Ssangyong Information's price direction in advance. Along with the technical and fundamental analysis of Ssangyong Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Ssangyong 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 | 0.0418 | |||
| Jensen Alpha | 0.0453 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 16.89 |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Complementary Tools for Ssangyong Stock analysis
When running Ssangyong Information's price analysis, check to measure Ssangyong Information'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 Ssangyong Information is operating at the current time. Most of Ssangyong Information's value examination focuses on studying past and present price action to predict the probability of Ssangyong Information's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ssangyong Information's price. Additionally, you may evaluate how the addition of Ssangyong Information to your portfolios can decrease your overall portfolio volatility.
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities |