S Tech Corp Stock Three Year Return
1584 Stock | TWD 32.10 0.15 0.47% |
S Tech Corp fundamentals help investors to digest information that contributes to S Tech's financial success or failures. It also enables traders to predict the movement of 1584 Stock. The fundamental analysis module provides a way to measure S Tech's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to S Tech stock.
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S Tech Corp Company Three Year Return Analysis
S Tech's Tree Year Return shows the total annualized return generated from holding a fund or ETFs for the last three years. The return measure includes capital appreciation, losses, dividends paid, and all capital gains distributions. This return indicator is considered by many investors to be solid measures of fund mid-term performance.
More About Three Year Return | All Equity Analysis
Three Year Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Although Three Year Fund Return indicator can give a sense of overall fund mid-term potential, it is recommended to compare fund performances against other similar funds, ETFs, or market benchmarks for the same 3 year interval.
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Based on the latest financial disclosure, S Tech Corp has a Three Year Return of 0.0%. This indicator is about the same for the Industrials average (which is currently at 0.0) sector and about the same as Metal Fabrication (which currently averages 0.0) industry. This indicator is about the same for all Taiwan stocks average (which is currently at 0.0).
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1584 Fundamentals
EBITDA | (12.99 M) | |||
Net Income | (49.59 M) | |||
Cash And Equivalents | 69.73 M | |||
Cash Per Share | 0.85 X | |||
Total Debt | 1.03 B | |||
Debt To Equity | 108.40 % | |||
Current Ratio | 0.86 X | |||
Book Value Per Share | 10.97 X | |||
Cash Flow From Operations | 5.12 M | |||
Earnings Per Share | (0.60) X | |||
Number Of Employees | 19 | |||
Beta | 1.28 | |||
Market Capitalization | 822.24 M |
About S Tech Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze S Tech Corp's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of S Tech using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of S Tech Corp based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with S Tech
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 S Tech 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 S Tech will appreciate offsetting losses from the drop in the long position's value.Moving together with 1584 Stock
0.61 | 2474 | Catcher Technology | PairCorr |
0.92 | 2211 | Evergreen Steel Corp | PairCorr |
0.8 | 3376 | Shin Zu Shing | PairCorr |
0.73 | 1532 | China Metal Products | PairCorr |
Moving against 1584 Stock
0.92 | 2881A | Fubon Financial Holding | PairCorr |
0.87 | 2882B | Cathay Financial Holding | PairCorr |
0.83 | 9904 | Pou Chen Corp | PairCorr |
0.81 | 2317 | Hon Hai Precision | PairCorr |
0.77 | 1569 | Bin Chuan Enterprise | PairCorr |
The ability to find closely correlated positions to S Tech could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace S Tech 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 S Tech - 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 S Tech Corp to buy it.
The correlation of S Tech 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 S Tech moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if S Tech Corp 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 S Tech 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.Additional Tools for 1584 Stock Analysis
When running S Tech's price analysis, check to measure S Tech'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 S Tech is operating at the current time. Most of S Tech's value examination focuses on studying past and present price action to predict the probability of S Tech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move S Tech's price. Additionally, you may evaluate how the addition of S Tech to your portfolios can decrease your overall portfolio volatility.