Disposition of 4011 shares by Todd Cione of Teradata Corp at 38.82 subject to Rule 16b-3

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Disposition of 4011 common stock at 38.82 of Teradata Corp by Todd Cione on 11th of December 2024. This event was filed by Teradata Corp with SEC on 2024-03-06. 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 sentiment, mood or attitude towards Open Text can have a significant impact on its stock price or the market as a whole. This sentiment can be positive or negative, and various factors, such as economic indicators, news events, or market trends, can influence it. When investor sentiment is positive, investors are more likely to buy stocks, increasing demand and increasing the stock price. Positive investor sentiment can be driven by good news about the company or the broader market, such as solid earnings reports or positive economic data.

Note that negative investor sentiment can cause investors to sell stocks, leading to a decrease in demand and a drop in the stock price. Negative sentiment can be driven by factors such as poor earnings reports, negative news about the company or industry, or broader economic concerns. It's important to note that investor sentiment is just one of many factors that can affect stock prices. Other factors, such as company performance, industry trends, and global economic conditions, can also play a significant role in determining the value of a stock.

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.