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SAP Historical Stock Prices Dataset

System Applications and Products (SAP) For EDA & Analysis

@kaggle.stealthtechnologies_sap_historical_stock_prices_dataset

About this Dataset

SAP Historical Stock Prices Dataset

ABOUT SAP:

Headquartered in Walldorf, Germany, SAP is the market leader in enterprise application software. Founded in 1972, SAP (which stands for "Systems, Applications, and Products in Data Processing") has a rich history of innovation and growth as a true industry leader.

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ABOUT DATASET:

This dataset contains detailed historical stock price data for SAP, covering the period from 09/22/1995 to 06/14/2024. The data is collected from Yahoo Finance and includes daily records of the stock's opening price, highest price, lowest price, closing price, and trading volume. Each entry in the dataset represents a single trading day, providing a comprehensive view of the stock's price movements and market activity.

PURPOSE OF DATASET

The purpose of this dataset is to provide analysts, traders, and researchers with accurate and granular historical stock price data for SAP. This data can be used for various applications, including:

  • Technical Analysis:
    Identify trends and patterns in the stock's price movements.
    Calculate technical indicators such as moving averages, RSI, and Bollinger Bands.

  • Market Sentiment Analysis:
    Analyze how the stock's price responds to market events and news.
    Compare the opening and closing prices to understand daily sentiment.

  • Algorithmic Trading:
    Develop and test trading algorithms based on historical price and volume data.
    Use past price movements to simulate trading strategies.

  • Predictive Modeling:
    Build models to forecast future prices and trading volumes.
    Use historical data to identify potential price movements and market trends.

  • Educational Purposes:
    Serve as a teaching tool for financial education.
    Help students and researchers understand the dynamics of stock price changes and market behavior.

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this dataset offers a solid foundation for a wide range of financial analyses and trading applications.

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