Real-Time Stock Market Trend Window Using XPath and Html Agility Pack

Abstract

Real-time stock market data must be acquired, processed, and disseminated efficiently. Certain methods for acquiring stock market data have limitations. Stock market prices in Iraqi dinars are unreliable for exchange shops and satellite channels in underdeveloped countries like Iraq. In this study, XPath and HTML Agility Pack were used to predict an accurate Real-Time Stock Market Trend Window. In Iraqi dinars in three languages, the trend pane shows metals, energy, and currency stock values. XPath and Html Agility Pack display real-time stock market data in a stock market window. C# is used for the window's front-end and back-end designs, and SQL Server is its data warehouse. Currency, metal, and energy prices are shown in a stock market trend window. Pricing updates every 10 seconds in the trend pane. In Iraqi dinars and three languages, the window displays cash, metal, and energy values. In developing nations, stock traders, satellite channels, and anyone interested in stock market prices can use it. A future study may investigate techniques to create a standard dataset using conserved cash, metal, and energy values.