--- dataset_info: - config_name: AAPL features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 94158 dataset_size: 110704 - config_name: AMZN features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 101444 dataset_size: 110704 - config_name: AVGO features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 101123 dataset_size: 110704 - config_name: COST features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 92459 dataset_size: 110704 - config_name: GOOGL features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 102235 dataset_size: 110704 - config_name: META features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 94745 dataset_size: 110704 - config_name: MSFT features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 93376 dataset_size: 110704 - config_name: NFLX features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 95382 dataset_size: 110704 - config_name: NVDA features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 106841 dataset_size: 110704 - config_name: QQQ features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 93880 dataset_size: 110704 - config_name: SPY features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 93429 dataset_size: 110704 - config_name: TSLA features: - name: Date dtype: date32 - name: Adj Close dtype: float64 - name: Volume dtype: int64 - name: Open dtype: float64 - name: High dtype: float64 - name: Low dtype: float64 splits: - name: train num_bytes: 110704 num_examples: 2516 download_size: 107513 dataset_size: 110704 configs: - config_name: AAPL data_files: - split: train path: AAPL/train-* - config_name: AMZN data_files: - split: train path: AMZN/train-* - config_name: AVGO data_files: - split: train path: AVGO/train-* - config_name: COST data_files: - split: train path: COST/train-* - config_name: GOOGL data_files: - split: train path: GOOGL/train-* - config_name: META data_files: - split: train path: META/train-* - config_name: MSFT data_files: - split: train path: MSFT/train-* - config_name: NFLX data_files: - split: train path: NFLX/train-* - config_name: NVDA data_files: - split: train path: NVDA/train-* - config_name: QQQ data_files: - split: train path: QQQ/train-* - config_name: SPY data_files: - split: train path: SPY/train-* - config_name: TSLA data_files: - split: train path: TSLA/train-* ---