Algorand Beneish M Score

ALGO
 Crypto
  

USD 0.30  0.0052  1.76%   

This module uses fundamental data of Algorand to approximate the value of its Beneish M Score. Algorand M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Please continue to Trending Equities.
  
At this time, Algorand's M Score is inapplicable. The earnings manipulation may begin if Algorand's top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by Algorand executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of Algorand's earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-4.84
Beneish M Score - Inapplicable
Elasticity of ReceivablesN/AFocus
Asset QualityN/AFocus
Expense CoverageN/AFocus
Gross Margin StrengsN/AFocus
Accruals FactorN/AFocus
Depreciation ResistanceN/AFocus
Net Sales GrowthN/AFocus
Financial Leverage ConditionN/AFocus

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About Algorand Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Algorand's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Algorand using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Algorand based on its fundamental data. In general, a quantitative approach, as applied to this cryptocurrency, 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.
Algorand is peer-to-peer digital currency powered by the Blockchain technology.
Some cryptocurrency investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. However, unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Algorand in the overall investment community. So, suppose investors can accurately measure the crypto's market sentiment. In that case, they can use it for their benefit. For example, some tools provided by cryptocurrency exchanges to gauge market sentiment could be utilized to time the market in a somewhat predictable way.

Pair Trading with Algorand

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

Moving together with Algorand

+0.67XRPXRPPairCorr
The ability to find closely correlated positions to Algorand could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Algorand 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 Algorand - 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 Algorand to buy it.
The correlation of Algorand is a statistical measure of how it moves in relation to other equities. 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 Algorand moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Algorand 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 Algorand 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
Please continue to Trending Equities. Note that the Algorand information on this page should be used as a complementary analysis to other Algorand's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

Other Tools for Algorand Crypto Coin

When running Algorand price analysis, check to measure Algorand's coin volatility and technical momentum indicators. We have many different tools that can be utilized to determine how healthy Algorand is operating at the current time. Most of Algorand's value examination focuses on studying past and present price actions to predict the probability of Algorand's future price movements. You can analyze the coin against its peers and the financial market as a whole to determine factors that move Algorand's coin price. Additionally, you may evaluate how adding Algorand to your portfolios can decrease your overall portfolio volatility.
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