{ "data_id": "43558", "name": "LT_Finance_Holdings_Ltd_Stock_Price_2017_to_2020", "exact_name": "LT_Finance_Holdings_Ltd_Stock_Price_2017_to_2020", "version": 1, "version_label": "v1.0", "description": "Context\nThis dataset is a playground for fundamental and technical analysis. This can serve as basic tutorial for time-series data analysis.\nContent\nDataset consists of following files:\nLTFinanceHoldingsLtdStockPrice2017to2020.csv: The data related to LT Finance Holdings Ltd Stock Price from Feb 2017 to Feb 2020 and contains 13 columns.\nAcknowledgements\nPrices were fetched from \"bseindia\" databases.\nInspiration\nHere is couple of things one could try out with this data:\n\nOne day ahead prediction: Rolling Linear Regression, ARIMA, SARIMA, LSTM\nMomentum\/Mean-Reversion Strategies", "format": "arff", "uploader": "Onur Yildirim", "uploader_id": 30126, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:51:01", "update_comment": null, "last_update": "2022-03-23 13:51:01", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102383\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "LT_Finance_Holdings_Ltd_Stock_Price_2017_to_2020", "Context This dataset is a playground for fundamental and technical analysis. This can serve as basic tutorial for time-series data analysis. Content Dataset consists of following files: LTFinanceHoldingsLtdStockPrice2017to2020.csv: The data related to LT Finance Holdings Ltd Stock Price from Feb 2017 to Feb 2020 and contains 13 columns. Acknowledgements Prices were fetched from \"bseindia\" databases. Inspiration Here is couple of things one could try out with this data: One day ahead prediction: " ], "weight": 5 }, "qualities": { "NumberOfInstances": 744, "NumberOfFeatures": 13, "NumberOfClasses": null, "NumberOfMissingValues": 2, "NumberOfInstancesWithMissingValues": 1, "NumberOfNumericFeatures": 12, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.01747311827956989, "PercentageOfNumericFeatures": 92.3076923076923, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0.13440860215053765, "AutoCorrelation": null, "PercentageOfMissingValues": 0.0206782464846981 }, "tags": [ { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "Date", "index": "0", "type": "string", "distinct": "744", "missing": "0" }, { "name": "Open_Price", "index": "1", "type": "numeric", "distinct": "541", "missing": "0", "min": "80", "max": "213", "mean": "143", "stdev": "30" }, { "name": "High_Price", "index": "2", "type": "numeric", "distinct": "604", "missing": "0", "min": "82", "max": "214", "mean": "146", "stdev": "30" }, { "name": "Low_Price", "index": "3", "type": "numeric", "distinct": "615", "missing": "0", "min": "79", "max": "209", "mean": "141", "stdev": "30" }, { "name": "Close_Price", "index": "4", "type": "numeric", "distinct": "617", "missing": "0", "min": "80", "max": "211", "mean": "143", "stdev": "30" }, { "name": "WAP", "index": "5", "type": "numeric", "distinct": "744", "missing": "0", "min": "80", "max": "211", "mean": "143", "stdev": "30" }, { "name": "No.of_Shares", "index": "6", "type": "numeric", "distinct": "744", "missing": "0", "min": "95866", "max": "12343109", "mean": "752636", "stdev": "759313" }, { "name": "No._of_Trades", "index": "7", "type": "numeric", "distinct": "681", "missing": "0", "min": "900", "max": "31813", "mean": "3925", "stdev": "2870" }, { "name": "Total_Turnover_(Rs.)", "index": "8", "type": "numeric", "distinct": "744", "missing": "0", "min": "8593931", "max": "2147483647", "mean": "105329644", "stdev": "117988041" }, { "name": "Deliverable_Quantity", "index": "9", "type": "numeric", "distinct": "740", "missing": "1", "min": "28234", "max": "5713213", "mean": "204122", "stdev": "380927" }, { "name": "%_Deli._Qty_to_Traded_Qty", "index": "10", "type": "numeric", "distinct": "668", "missing": "1", "min": "2", "max": "94", "mean": "27", "stdev": "12" }, { "name": "Spread_High-Low", "index": "11", "type": "numeric", "distinct": "179", "missing": "0", "min": "1", "max": "29", "mean": "5", "stdev": "3" }, { "name": "Spread_Close-Open", "index": "12", "type": "numeric", "distinct": "252", "missing": "0", "min": "-16", "max": "13", "mean": "0", "stdev": "3" } ], "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 }