Dataset: National Stock Exchange Daily Performance Data

About this Dataset

National Stock Exchange Daily Performance Data

"Alone we can do so little; together we can do so much." – Helen Keller

🌟Welcome to the 𝗡𝗦𝗘-𝗗𝗮𝘁𝗮-𝟮𝟬𝟮𝟰 𝗱𝗮𝘁𝗮𝘀𝗲𝘁, a comprehensive and meticulously curated dataset covering the 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗱𝗮𝘁𝗮 𝗼𝗳 𝘁𝗼𝗽 𝗡𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝘁𝗼𝗰𝗸 𝗘𝘅𝗰𝗵𝗮𝗻𝗴𝗲 (𝗡𝗦𝗘) 𝘀𝗰𝗿𝗶𝗽𝘁𝘀. This dataset spans from January 1, 2024, to the present, offering valuable insights for financial analysis and data-driven decision-making.

📝𝗗𝗮𝘁𝗮𝘀𝗲𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄

P͟e͟r͟i͟o͟d͟ ͟C͟o͟v͟e͟r͟e͟d͟:͟ January 1, 2024, to the present
U͟p͟d͟a͟t͟e͟ ͟F͟r͟e͟q͟u͟e͟n͟c͟y͟: Weekly
F͟i͟l͟e͟ ͟F͟o͟r͟m͟a͟t͟:͟ Parquet (efficient and optimized for large-scale data)
S͟o͟u͟r͟c͟e͟:͟ Bhavcopies of top NSE companies
D͟a͟t͟a͟ ͟V͟a͟l͟i͟d͟a͟t͟i͟o͟n͟:͟ Each CSV sample is validated and formatted into the parquet extension to ensure data integrity and accuracy.

✍🏻𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀

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.

🤝🏻𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻: 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.

⚠️𝗗𝗶𝘀𝗰𝗹𝗮𝗶𝗺𝗲𝗿: If anyone believes that there are any copyright violations associated with this dataset, please let me know, and I will make the necessary changes.

⏳𝗚𝗲𝘁𝘁𝗶𝗻𝗴 𝗦𝘁𝗮𝗿𝘁𝗲𝗱

𝘿𝙤𝙬𝙣𝙡𝙤𝙖𝙙 𝙩𝙝𝙚 𝘿𝙖𝙩𝙖𝙨𝙚𝙩: NSE-Data-2024.parquet
𝙀𝙭𝙥𝙡𝙤𝙧𝙚 𝙎𝙖𝙢𝙥𝙡𝙚 𝙉𝙤𝙩𝙚𝙗𝙤𝙤𝙠𝙨: Gain inspiration and insights from sample notebooks shared by the community.
𝙎𝙝𝙖𝙧𝙚 𝙔𝙤𝙪𝙧 𝙒𝙤𝙧𝙠: Contribute your notebooks and findings to help others in their analysis.

👣Join the conversation, contribute your expertise, and let's make this dataset a cornerstone for financial data analysis on Kaggle!👥

Tables

Bhavcopy Nse Cm 0–0–0–20240301 F 0000

@kaggle.vanshitaarya_nse_data_2024.bhavcopy_nse_cm_0_0_0_20240301_f_0000

287.59 KB
2694 rows
35 columns


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
);