Acquisition or disposition of Madison Square securities by Brian Sweeney

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Published over a year ago View all stories for Open Text | Open Text Hype Analysis

Madison insider trading alert for acquisition or disposition of class a common stock by Brian Sweeney, the corporate stakeholder, on 8th of March 2023. This event was filed by Madison Square Garden Ent with SEC on 2020-04-20. Statement of changes in beneficial ownership - SEC Form 4

Cash Flow Correlation

Open Text's cash-flow correlation analysis can be used to evaluate the unsystematic risk during the given period. It also helps investors identify the Open Text's relationships between the major components of the statement of changes in financial position and other commonly used cash-related accounts. When such correlations are discovered, they may help managers and analysts to enhance performance or determine appealing investment opportunities.

Investor biases related to Open Text's public news can be used to forecast risks associated with an investment in Open. The trend in average sentiment can be used to explain how an investor holding Open can time the market purely based on public headlines and social activities around Open Text Corp. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.

Open Text's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Open Text and other traded tickers. The bigger the bubble, the more accurate the estimated score. Higher bars for a given day show more participation in the average Open Text news discussions. The higher the estimate score, the more favorable the investor's outlook on Open Text.

Open Text's options can also be used to analyze investors' bias and current market sentiment in the context of behavioral finance. For example, Max pain usually refers to a trading concept that asserts that market manipulation can cause the market price of Open Text close to the expiration of its current option contract to expire worthlessly. According to most research, about 35% of options are not executed, with roughly 50% traded out before expiration. So, Max pain occurs when market makers reach a net favorable position across all options at a strike price where option holders stand to lose the most money. By contrast, option sellers may reap the most after selling more options than buying, causing them to expire worthlessly. Please continue to view the detailed analysis of Open Text's options.

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

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 Open Text stock to make a market-neutral strategy. Peer analysis of Open Text could also be used in its relative valuation, which is a method of valuing Open Text by comparing valuation metrics with similar companies.

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