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              <text>Verma, Adarsh Umang; Sharma, Vandana; Soran, Preety</text>
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              <text>Analyzing Financial Metrics: A Comparative Study of Salesforce and Microsoft Dynamics 365</text>
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              <text>01-01-2025</text>
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              <text>IEEE International Conference on "Computational, Communication and Information Technology", ICCCIT 2025;pp.128-135</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICCCIT62592.2025.10927817" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCCIT62592.2025.10927817&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105002235382?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105002235382?origin=resultslist&lt;/a&gt;</text>
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              <text>Verma A.U., Christ University, Department of Computer Science, NCR, Delhi, India; Sharma V., Christ University, Department of Computer Science, NCR, Delhi, India; Soran P., Christ University, Department of Computer Science, NCR, Delhi, India</text>
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              <text>The purpose of the study is, therefore, in the integration of six variables consisting of closing prices, daily returns, volatility, stock prices together with moving averages, trading volumes, and their moving averages: how these measure interrelates and what impacts they have toward market sentiment. Correlation and regression tests were carried out to ascertain whether the obtained findings were reliable enough to present robust relationships among the metrics of concern. Therefore, the obtained findings have wider implications for investors, as well as their investing decisions. In the first place, these findings permit one to detail and analyze in an in-depth manner the stock shares' behavior overtime and variations of the market so that trends within trading activity could be unearthed and understood long-term effects.   2025 IEEE.</text>
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              <text>etc; Financial Metrics; Moving Averages; Stock Market Analysis; Trading Volumes; Volatility</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>ISBN: 979-833151296-5;</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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