BitBoy Faces Lawsuit Over Fraudulent BEN Token Promotions

SBASX Fund  USD 14.32  0.06  0.42%   
Slightly above 62% of Segall Bryant's investor base is looking to short. The analysis of overall sentiment of trading Segall Bryant Hamill mutual fund suggests that many investors are alarmed at this time. Segall Bryant's investing sentiment can be driven by a variety of factors including economic data, Segall Bryant's earnings reports, geopolitical events, and overall market trends.
  
Ben Armstrong, aka BitBoy Crypto, faces a lawsuit and CFTC probe, accused of misleading BEN investors with false promises of big returns.

Read at cryptotimes.io
news
  

Segall Bryant Fundamental Analysis

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

Probability Of Bankruptcy

Probability Of Bankruptcy Comparative Analysis

Segall Bryant is currently under evaluation in probability of bankruptcy among similar funds. Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.

Segall Bryant Hamill Potential Pair-trading

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Segall Bryant mutual fund to make a market-neutral strategy. Peer analysis of Segall Bryant could also be used in its relative valuation, which is a method of valuing Segall Bryant by comparing valuation metrics with similar companies.

Other Information on Investing in Segall Mutual Fund

Segall Bryant financial ratios help investors to determine whether Segall Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Segall with respect to the benefits of owning Segall Bryant security.
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas