{ "data_id": "43621", "name": "BSE-30-daily-market-price-(2008-2018)", "exact_name": "BSE-30-daily-market-price-(2008-2018)", "version": 1, "version_label": "v1.0", "description": "Content\nThe SP BSE SENSEX (SP Bombay Stock Exchange Sensitive Index), also called the BSE 30 or simply the SENSEX, is a free-float market-weighted stock market index of 30 well-established and financially sound companies listed on Bombay Stock Exchange. The 30 component companies which are some of the largest and most actively traded stocks, are representative of various industrial sectors of the Indian economy.\nThis dataset contains the data about these 30 stocks for 10 years starts from 06\/05\/2008 to 04\/05\/2018 .\nVariables are symbol (ticker) , Date , open , high , low , close, adj close and volume.\nAcknowledgement\nThe prices are fetched from yahoo finance.\nInspiration\n1) Which stocks were most Volatile\/ Stable?\n2) Predicting next day stock prices", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-24 00:42:19", "update_comment": null, "last_update": "2022-03-24 00:42:19", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102446\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "BSE-30-daily-market-price-(2008-2018)", "Content The SP BSE SENSEX (SP Bombay Stock Exchange Sensitive Index), also called the BSE 30 or simply the SENSEX, is a free-float market-weighted stock market index of 30 well-established and financially sound companies listed on Bombay Stock Exchange. The 30 component companies which are some of the largest and most actively traded stocks, are representative of various industrial sectors of the Indian economy. This dataset contains the data about these 30 stocks for 10 years starts from 06\/05\/ " ], "weight": 5 }, "qualities": { "NumberOfInstances": 73316, "NumberOfFeatures": 8, "NumberOfClasses": null, "NumberOfMissingValues": 1500, "NumberOfInstancesWithMissingValues": 250, "NumberOfNumericFeatures": 6, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.0001091167003109826, "PercentageOfNumericFeatures": 75, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0.3409896884718206, "AutoCorrelation": null, "PercentageOfMissingValues": 0.2557422663538655 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "Symbol", "index": "0", "type": "string", "distinct": "30", "missing": "0" }, { "name": "Date", "index": "1", "type": "string", "distinct": "2469", "missing": "0" }, { "name": "Open", "index": "2", "type": "numeric", "distinct": "29895", "missing": "250", "min": "8", "max": "16867800", "mean": "1062", "stdev": "66225" }, { "name": "High", "index": "3", "type": "numeric", "distinct": "37205", "missing": "250", "min": "8", "max": "910953", "mean": "727", "stdev": "3628" }, { "name": "Low", "index": "4", "type": "numeric", "distinct": "38329", "missing": "250", "min": "8", "max": "9711", "mean": "692", "stdev": "889" }, { "name": "Close", "index": "5", "type": "numeric", "distinct": "48714", "missing": "250", "min": "8", "max": "9805", "mean": "700", "stdev": "898" }, { "name": "Adj_Close", "index": "6", "type": "numeric", "distinct": "69593", "missing": "250", "min": "6", "max": "9805", "mean": "654", "stdev": "881" }, { "name": "Volume", "index": "7", "type": "numeric", "distinct": "69411", "missing": "250", "min": "0", "max": "794622760", "mean": "949263", "stdev": "5895543" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }