Baselight

National Stock Exchange Daily Performance Data

Daily Stock Data for Top NSE Companies - 2024

@kaggle.vanshitaarya_nse_data_2024

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About this Dataset

National Stock Exchange Daily Performance Data

"Alone we can do so little; together we can do so much." โ€“ Helen Keller

๐ŸŒŸWelcome to the ๐—ก๐—ฆ๐—˜-๐——๐—ฎ๐˜๐—ฎ-๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฐ ๐—ฑ๐—ฎ๐˜๐—ฎ๐˜€๐—ฒ๐˜, a comprehensive and meticulously curated dataset covering the ๐—ฝ๐—ฒ๐—ฟ๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ผ๐—ณ ๐˜๐—ผ๐—ฝ ๐—ก๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ฆ๐˜๐—ผ๐—ฐ๐—ธ ๐—˜๐˜…๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ฒ (๐—ก๐—ฆ๐—˜) ๐˜€๐—ฐ๐—ฟ๐—ถ๐—ฝ๐˜๐˜€. This dataset spans from January 1, 2024, to the present, offering valuable insights for financial analysis and data-driven decision-making.

๐Ÿ“๐——๐—ฎ๐˜๐—ฎ๐˜€๐—ฒ๐˜ ๐—ข๐˜ƒ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„

  1. PอŸeอŸrอŸiอŸoอŸdอŸ อŸCอŸoอŸvอŸeอŸrอŸeอŸdอŸ:อŸ January 1, 2024, to the present
  2. UอŸpอŸdอŸaอŸtอŸeอŸ อŸFอŸrอŸeอŸqอŸuอŸeอŸnอŸcอŸyอŸ: Weekly
  3. FอŸiอŸlอŸeอŸ อŸFอŸoอŸrอŸmอŸaอŸtอŸ:อŸ Parquet (efficient and optimized for large-scale data)
  4. SอŸoอŸuอŸrอŸcอŸeอŸ:อŸ Bhavcopies of top NSE companies
  5. DอŸaอŸtอŸaอŸ อŸVอŸaอŸlอŸiอŸdอŸaอŸtอŸiอŸoอŸnอŸ:อŸ Each CSV sample is validated and formatted into the parquet extension to ensure data integrity and accuracy.

โœ๐Ÿป๐—™๐—ฒ๐—ฎ๐˜๐˜‚๐—ฟ๐—ฒ๐˜€

  • 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.

๐Ÿค๐Ÿป๐—–๐—ผ๐—น๐—น๐—ฎ๐—ฏ๐—ผ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐—ป๐—ฑ ๐—œ๐—ป๐—ป๐—ผ๐˜ƒ๐—ฎ๐˜๐—ถ๐—ผ๐—ป: 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.

โš ๏ธ๐——๐—ถ๐˜€๐—ฐ๐—น๐—ฎ๐—ถ๐—บ๐—ฒ๐—ฟ: If anyone believes that there are any copyright violations associated with this dataset, please let me know, and I will make the necessary changes.

โณ๐—š๐—ฒ๐˜๐˜๐—ถ๐—ป๐—ด ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜๐—ฒ๐—ฑ

  • ๐˜ฟ๐™ค๐™ฌ๐™ฃ๐™ก๐™ค๐™–๐™™ ๐™ฉ๐™๐™š ๐˜ฟ๐™–๐™ฉ๐™–๐™จ๐™š๐™ฉ: NSE-Data-2024.parquet
  • ๐™€๐™ญ๐™ฅ๐™ก๐™ค๐™ง๐™š ๐™Ž๐™–๐™ข๐™ฅ๐™ก๐™š ๐™‰๐™ค๐™ฉ๐™š๐™—๐™ค๐™ค๐™ ๐™จ: Gain inspiration and insights from sample notebooks shared by the community.
  • ๐™Ž๐™๐™–๐™ง๐™š ๐™”๐™ค๐™ช๐™ง ๐™’๐™ค๐™ง๐™ : Contribute your notebooks and findings to help others in their analysis.

๐Ÿ‘ฃJoin the conversation, contribute your expertise, and let's make this dataset a cornerstone for financial data analysis on Kaggle!๐Ÿ‘ฅ

Tables

Bhavcopy Nse Cm 0โ€“0โ€“0โ€“20240301 F 0000

@kaggle.vanshitaarya_nse_data_2024.bhavcopy_nse_cm_0_0_0_20240301_f_0000
  • 287.59 KB
  • 2694 rows
  • 35 columns
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CREATE TABLE bhavcopy_nse_cm_0_0_0_20240301_f_0000 (
  "traddt" TIMESTAMP,
  "bizdt" TIMESTAMP,
  "sgmt" VARCHAR,
  "src" VARCHAR,
  "fininstrmtp" VARCHAR,
  "fininstrmid" BIGINT,
  "isin" VARCHAR,
  "tckrsymb" VARCHAR,
  "sctysrs" VARCHAR,
  "xprydt" VARCHAR,
  "fininstrmactlxprydt" VARCHAR,
  "strkpric" VARCHAR,
  "optntp" VARCHAR,
  "fininstrmnm" VARCHAR,
  "opnpric" DOUBLE,
  "hghpric" DOUBLE,
  "lwpric" DOUBLE,
  "clspric" DOUBLE,
  "lastpric" DOUBLE,
  "prvsclsgpric" DOUBLE,
  "undrlygpric" VARCHAR,
  "sttlmpric" DOUBLE,
  "opnintrst" VARCHAR,
  "chnginopnintrst" VARCHAR,
  "ttltradgvol" BIGINT,
  "ttltrfval" DOUBLE,
  "ttlnboftxsexctd" BIGINT,
  "ssnid" VARCHAR,
  "newbrdlotqty" BIGINT,
  "rmks" VARCHAR,
  "rsvd01" VARCHAR,
  "rsvd02" VARCHAR,
  "rsvd03" VARCHAR,
  "rsvd04" VARCHAR,
  "unnamed_34" VARCHAR
);

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