CatalystTeza Beneish M Score

TEZIX
 Fund
  

USD 7.66  0.00  0.00%   

This module uses fundamental data of CatalystTeza Algorithmic to approximate the value of its Beneish M Score. CatalystTeza Algorithmic 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. Additionally, take a look at World Market Map.
  
At this time, CatalystTeza Algorithmic's M Score is inapplicable. The earnings manipulation may begin if CatalystTeza Algorithmic'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 CatalystTeza Algorithmic 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 CatalystTeza Algorithmic'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

Did you try this?

Run Money Flow Index Now

   

Money Flow Index

Determine momentum by analyzing Money Flow Index and other technical indicators
All  Next Launch Module

About CatalystTeza Algorithmic Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze CatalystTeza Algorithmic Alloc's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of CatalystTeza Algorithmic using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of CatalystTeza Algorithmic Alloc based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, 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.
The fund provides exposure to major global asset classes including equity indexes, government bond interest rates, volatility indexes, foreign currencies andor commodities, such as energy, precious metals, base metals, agriculturals and grains. CatalystTeza Algorithmic is traded on NASDAQ Exchange in the United States.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards CatalystTeza Algorithmic in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, CatalystTeza Algorithmic's short interest history, or implied volatility extrapolated from CatalystTeza Algorithmic options trading.

Currently Active Assets on Macroaxis

Additionally, take a look at World Market Map. You can also try Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.

Other Tools for CatalystTeza Mutual Fund

When running CatalystTeza Algorithmic price analysis, check to measure CatalystTeza Algorithmic'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 CatalystTeza Algorithmic is operating at the current time. Most of CatalystTeza Algorithmic's value examination focuses on studying past and present price action to predict the probability of CatalystTeza Algorithmic's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move CatalystTeza Algorithmic's price. Additionally, you may evaluate how the addition of CatalystTeza Algorithmic to your portfolios can decrease your overall portfolio volatility.
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Go
Price Transformation
Use Price Transformation models to analyze depth of different equity instruments across global markets
Go
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Go
Stock Screener
Find equities using custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Go
Watchlist Optimization
Optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm
Go
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Go
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Go
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Go
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Go
Commodity Channel Index
Use Commodity Channel Index to analyze current equity momentum
Go
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Go
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Go
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Go