Cwtr Stock One Year High

CWTR fundamentals help investors to digest information that contributes to CWTR's financial success or failures. It also enables traders to predict the movement of CWTR OTC BB Equity. The fundamental analysis module provides a way to measure CWTR'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 CWTR otc bb equity.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

CWTR One Year High Analysis

CWTR's One Year High typically refers to the highest price that a given equity instrument has reached in the last 52 weeks. In other words, it is the highest price that investors paid or were willing to pay for a given stock, fund, or ETF over the past 52 weeks of trading.

One Year High

=

Highest Price in the Last 52 Weeks

More About One Year High | All Equity Analysis
Year High value is used as an indicator to give investors an idea of how given equity may perform over mid or longer-term horizons. The One Year High may be utilized as a naive indicator of how the value of a stock is resistant or elastic over the long term investment horizon. For example, if the price of a fund or ETF is near a new One Year High, a rational investor may interpret it as a turning point and trade the instrument away or buy additional shares.
Competition
Based on the recorded statements, CWTR has an One Year High of 0.0. This indicator is about the same for the average (which is currently at 0.0) sector and about the same as One Year High (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).

CWTR One Year High Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses CWTR's direct or indirect competition against its One Year High to detect undervalued stocks with similar characteristics or determine the otc bb equitys which would be a good addition to a portfolio. Peer analysis of CWTR could also be used in its relative valuation, which is a method of valuing CWTR by comparing valuation metrics of similar companies.
CWTR is currently under evaluation in one year high category among related companies.

CWTR Fundamentals

Pair Trading with CWTR

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 CWTR 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 CWTR will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Microsoft could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Microsoft 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 Microsoft - 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 Microsoft to buy it.
The correlation of Microsoft 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 Microsoft moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Microsoft 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 Microsoft 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
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in estimate.
You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Consideration for investing in CWTR OTC BB Equity

If you are still planning to invest in CWTR check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the CWTR's history and understand the potential risks before investing.
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity