{ "data_id": "46420", "name": "Apple_Stock_Price_Trends_(2014-2023)", "exact_name": "Apple_Stock_Price_Trends_(2014-2023)", "version": 1, "version_label": null, "description": "This dataset contains Apple stock prices from 2014 to 2023, along with various technical indicators. It can be used for multi-class classification to predict the price trend for the next day based on these indicators.\n\n**Target Variable**: Price trend for the next day:\n- **bullish** (2): If price increases by more than 0.5%\n- **neutral** (1): If price movement stays within -0.5% to +0.5% range\n- **bearish** (0): If price falls by more than 0.5%\n\n**Technical Indicators**:\n- **SMA**: Simple Moving Average. Aids in determining if an asset price will continue or reverse a trend.\n- **EMA**: Exponential Moving Average. Places more weight on recent data points.\n- **RSI**: Relative Strength Index. Evaluates overvalued or undervalued conditions.\n- **Bollinger Bands**: Indicates oversold or overbought conditions.\n- **MACD**: Moving Average Convergence Divergence. Shows the relationship between two exponential moving averages.\n- **CCI**: Commodity Channel Index. Measures the difference between the current price and the average price.\n- **ATR**: Average True Range. Measures market volatility.", "format": "arff", "uploader": "Anna Wiewer", "uploader_id": 44101, "visibility": "public", "creator": "\"Anna Wiewer\"", "contributor": "\"OpenML Community\"", "date": "2024-11-22 13:15:24", "update_comment": null, "last_update": "2024-11-22 13:15:24", "licence": "CC BY 4.0", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22121030\/dataset", "default_target_attribute": "target", "row_id_attribute": null, "ignore_attribute": "\"target_numeric\"", "runs": 0, "suggest": { "input": [ "Apple_Stock_Price_Trends_(2014-2023)", "This dataset contains Apple stock prices from 2014 to 2023, along with various technical indicators. It can be used for multi-class classification to predict the price trend for the next day based on these indicators. - **bullish** (2): If price increases by more than 0.5% - **neutral** (1): If price movement stays within -0.5% to +0.5% range - **bearish** (0): If price falls by more than 0.5% - **SMA**: Simple Moving Average. Aids in determining if an asset price will continue or reverse a tren " ], "weight": 5 }, "qualities": { "NumberOfInstances": 2516, "NumberOfFeatures": 19, "NumberOfClasses": 3, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 18, "NumberOfSymbolicFeatures": 1, "Dimensionality": 0.007551669316375199, "PercentageOfNumericFeatures": 94.73684210526315, "MajorityClassPercentage": 37.79809220985692, "PercentageOfSymbolicFeatures": 5.263157894736842, "MajorityClassSize": 951, "MinorityClassPercentage": 30.961844197138316, "MinorityClassSize": 779, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": 0.34512922465208745, "PercentageOfMissingValues": 0 }, "tags": [], "features": [ { "name": "target", "index": "18", "type": "nominal", "distinct": "3", "missing": "0", "target": "1", "distr": [ [ "bearish", "neutral", "bullish" ], [ [ "779", "0", "0" ], [ "0", "786", "0" ], [ "0", "0", "951" ] ] ] }, { "name": "open", "index": "0", "type": "numeric", "distinct": "2377", "missing": "0", "min": "18", "max": "198", "mean": "78", "stdev": "56" }, { "name": "high", "index": "1", "type": "numeric", "distinct": "2368", "missing": "0", "min": "18", "max": "200", "mean": "79", "stdev": "57" }, { "name": "low", "index": "2", "type": "numeric", "distinct": "2385", "missing": "0", "min": "18", "max": "197", "mean": "77", "stdev": "56" }, { "name": "close", "index": "3", "type": "numeric", "distinct": "2368", "missing": "0", "min": "18", "max": "198", "mean": "78", "stdev": "56" }, { "name": "volume", "index": "4", "type": "numeric", "distinct": "2508", "missing": "0", "min": "24048300", "max": "1065523200", "mean": "136666169", "stdev": "84035513" }, { "name": "rsi_7", "index": "5", "type": "numeric", "distinct": "2510", "missing": "0", "min": "8", "max": "94", "mean": "56", "stdev": "18" }, { "name": "rsi_14", "index": "6", "type": "numeric", "distinct": "2510", "missing": "0", "min": "21", "max": "90", "mean": "56", "stdev": "13" }, { "name": "cci_7", "index": "7", "type": "numeric", "distinct": "2516", "missing": "0", "min": "-233", "max": "233", "mean": "18", "stdev": "100" }, { "name": "cci_14", "index": "8", "type": "numeric", "distinct": "2516", "missing": "0", "min": "-360", "max": "369", "mean": "26", "stdev": "109" }, { "name": "sma_50", "index": "9", "type": "numeric", "distinct": "2516", "missing": "0", "min": "19", "max": "187", "mean": "76", "stdev": "55" }, { "name": "ema_50", "index": "10", "type": "numeric", "distinct": "2516", "missing": "0", "min": "19", "max": "189", "mean": "76", "stdev": "55" }, { "name": "sma_100", "index": "11", "type": "numeric", "distinct": "2516", "missing": "0", "min": "18", "max": "183", "mean": "75", "stdev": "54" }, { "name": "ema_100", "index": "12", "type": "numeric", "distinct": "2516", "missing": "0", "min": "18", "max": "185", "mean": "75", "stdev": "54" }, { "name": "macd", "index": "13", "type": "numeric", "distinct": "2516", "missing": "0", "min": "-7", "max": "8", "mean": "0", "stdev": "2" }, { "name": "bollinger", "index": "14", "type": "numeric", "distinct": "2516", "missing": "0", "min": "19", "max": "194", "mean": "77", "stdev": "56" }, { "name": "truerange", "index": "15", "type": "numeric", "distinct": "1975", "missing": "0", "min": "0", "max": "13", "mean": "2", "stdev": "2" }, { "name": "atr_7", "index": "16", "type": "numeric", "distinct": "2516", "missing": "0", "min": "0", "max": "7", "mean": "2", "stdev": "2" }, { "name": "atr_14", "index": "17", "type": "numeric", "distinct": "2516", "missing": "0", "min": "0", "max": "6", "mean": "2", "stdev": "2" }, { "name": "target_numeric", "index": "19", "type": "numeric", "distinct": "3", "missing": "0", "ignore": "1", "min": "0", "max": "2", "mean": "1", "stdev": "1" } ], "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 }