Argosy Research Stock Number Of Shares Shorted

3217 Stock  TWD 158.50  1.00  0.63%   
Argosy Research fundamentals help investors to digest information that contributes to Argosy Research's financial success or failures. It also enables traders to predict the movement of Argosy Stock. The fundamental analysis module provides a way to measure Argosy Research'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 Argosy Research stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Argosy Research Company Number Of Shares Shorted Analysis

Argosy Research's Number of Shares Shorted is the total amount of shares that are currently sold short by investors. When a stock is sold short, the short seller assumes the responsibility of repurchasing the stock at a lower price. The speculator will make money if the stock goes down in price or will experience a loss if the stock price goes up.

Shares Shorted

 = 

Shorted by Public

+

by Institutions

More About Number Of Shares Shorted | All Equity Analysis
If a large number of investors decide to short sell an equity instrument within a small period of time, their combined action can significantly affect the price of the stock.
Competition

Based on the recorded statements, Argosy Research has 0.0 of outstending shares currently sold short by investors. This is 100.0% lower than that of the Technology sector and about the same as Computer Hardware (which currently averages 0.0) industry. The number of shares shorted for all Taiwan stocks is 100.0% higher than that of the company.

Did you try this?

Run Insider Screener Now

   

Insider Screener

Find insiders across different sectors to evaluate their impact on performance
All  Next Launch Module

Argosy Fundamentals

About Argosy Research Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Argosy Research's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Argosy Research using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Argosy Research 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 Argosy Research

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 Argosy Research 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 Argosy Research will appreciate offsetting losses from the drop in the long position's value.

Moving together with Argosy Stock

  0.616669 Wiwynn CorpPairCorr

Moving against Argosy Stock

  0.566505 Formosa PetrochemicalPairCorr
  0.475289 InnoDiskPairCorr
  0.426756 VIA LabsPairCorr
  0.382331 Elitegroup ComputerPairCorr
  0.385871 Chailease HoldingPairCorr
The ability to find closely correlated positions to Argosy Research could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Argosy Research 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 Argosy Research - 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 Argosy Research to buy it.
The correlation of Argosy Research 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 Argosy Research moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Argosy Research 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 Argosy Research 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.
Pair CorrelationCorrelation Matching

Additional Tools for Argosy Stock Analysis

When running Argosy Research's price analysis, check to measure Argosy Research'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 Argosy Research is operating at the current time. Most of Argosy Research's value examination focuses on studying past and present price action to predict the probability of Argosy Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Argosy Research's price. Additionally, you may evaluate how the addition of Argosy Research to your portfolios can decrease your overall portfolio volatility.