Daily Stock Data for Top NSE Companies - 2024
Dataset Description
"Alone we can do so little; together we can do so much." โ Helen Keller
๐Welcome to the ๐ก๐ฆ๐-๐๐ฎ๐๐ฎ-๐ฎ๐ฌ๐ฎ๐ฐ ๐ฑ๐ฎ๐๐ฎ๐๐ฒ๐, a comprehensive and meticulously curated dataset covering the ๐ฝ๐ฒ๐ฟ๐ณ๐ผ๐ฟ๐บ๐ฎ๐ป๐ฐ๐ฒ ๐ฑ๐ฎ๐๐ฎ ๐ผ๐ณ ๐๐ผ๐ฝ ๐ก๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฆ๐๐ผ๐ฐ๐ธ ๐๐ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ (๐ก๐ฆ๐) ๐๐ฐ๐ฟ๐ถ๐ฝ๐๐. This dataset spans from January 1, 2024, to the present, offering valuable insights for financial analysis and data-driven decision-making.
๐๐๐ฎ๐๐ฎ๐๐ฒ๐ ๐ข๐๐ฒ๐ฟ๐๐ถ๐ฒ๐
- Pอeอrอiอoอdอ อCอoอvอeอrอeอdอ:อ January 1, 2024, to the present
- Uอpอdอaอtอeอ อFอrอeอqอuอeอnอcอyอ: Weekly
- Fอiอlอeอ อFอoอrอmอaอtอ:อ Parquet (efficient and optimized for large-scale data)
- Sอoอuอrอcอeอ:อ Bhavcopies of top NSE companies
- Dอaอtอaอ อVอaอlอiอdอaอtอiอoอnอ:อ Each CSV sample is validated and formatted into the parquet extension to ensure data integrity and accuracy.
โ๐ป๐๐ฒ๐ฎ๐๐๐ฟ๐ฒ๐
- Comprehensive Coverage: Includes performance data of the top scripts traded on the NSE.
- Weekly Updates: Stay up-to-date with the latest financial trends and market movements.
- Efficient Format: Parquet files ensure faster data processing and reduced storage costs.
๐ค๐ป๐๐ผ๐น๐น๐ฎ๐ฏ๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป: This platform is designed to foster collaboration and innovation within our data science community. I sincerely request my fellow data enthusiasts to build and share notebooks and solutions using this dataset. Together, we can explore the depths of financial data analysis and drive insightful, data-driven decisions.
โ ๏ธ๐๐ถ๐๐ฐ๐น๐ฎ๐ถ๐บ๐ฒ๐ฟ: If anyone believes that there are any copyright violations associated with this dataset, please let me know, and I will make the necessary changes.
โณ๐๐ฒ๐๐๐ถ๐ป๐ด ๐ฆ๐๐ฎ๐ฟ๐๐ฒ๐ฑ
- ๐ฟ๐ค๐ฌ๐ฃ๐ก๐ค๐๐ ๐ฉ๐๐ ๐ฟ๐๐ฉ๐๐จ๐๐ฉ: NSE-Data-2024.parquet
- ๐๐ญ๐ฅ๐ก๐ค๐ง๐ ๐๐๐ข๐ฅ๐ก๐ ๐๐ค๐ฉ๐๐๐ค๐ค๐ ๐จ: Gain inspiration and insights from sample notebooks shared by the community.
- ๐๐๐๐ง๐ ๐๐ค๐ช๐ง ๐๐ค๐ง๐ : Contribute your notebooks and findings to help others in their analysis.
๐ฃJoin the conversation, contribute your expertise, and let's make this dataset a cornerstone for financial data analysis on Kaggle!๐ฅ
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