生成的参数组合数量：18
2025-06-19 19:09:00 | INFO | metric_online:run_with_hydra:842 - {'envs': {'env': {'mode': 'prod', 'enable_monitor': False, 'n_jobs': 1}, 'incremental': {'enabled': True, 'lookback_days': 20, 'start_date': None, 'end_date': 'today'}, 'run': {'n_jobs': 1, 'retry_times': 3, 'retry_delay': 2}, 'shard': {'num_shards': 1, 'shard_id': 0}}}
2025-06-19 19:09:00 | INFO | metric_online:run_with_hydra:889 - Total tasks generated: 1
2025-06-19 19:09:00 | INFO | metric_online:run_with_hydra:902 - Starting parallel execution with n_jobs=1...
2025-06-19 19:09:07 | INFO | metric_online:main2:781 - save train test done /root/data/Research1//feature/finalcomd//B8Wstats250412/B8Wstats250412_0--combo52
2025-06-19 19:11:22 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:22 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:23 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:23 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:27 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:27 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:28 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:28 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:29 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:29 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:31 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:31 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:32 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:33 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:33 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:33 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:34 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:34 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:35 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:35 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:37 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:37 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:38 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:38 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:38 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:39 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:40 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:40 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:40 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:41 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:41 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:42 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:42 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:42 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:44 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:44 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:45 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:45 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:46 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:47 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:47 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:48 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:48 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:48 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:51 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:11:51 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
{'obj': 'Sharpe', 'rm': 'MDD', 'model': 'Classic', 'method_mu': 'hist', 'method_cov': 'hist', 'linkage': 'single', 'leaf_order': True, 'codependence': 'pearson', 'lookback_period': 256, 'every': 10, 'nea': 5, 'split_every': False, 'normalize_every': False}
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2025-06-19 19:22:45 | INFO | metric_online:run_optimize_portfolio_new_with_sector_constraints:463 - [v7] 优化前的夏普率: 1.03694
2025-06-19 19:22:45 | INFO | metric_online:run_optimize_portfolio_new_with_sector_constraints:464 - [v7] 优化后的夏普率: 0.71812
2025-06-19 19:22:46 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:46 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:49 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:49 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:50 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:51 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:52 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:52 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:53 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:53 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:55 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:55 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:55 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:56 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:56 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:57 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:57 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:58 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:22:59 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:23:00 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:23:00 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:23:01 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:23:02 | WARNING | func_backtester_hf:run_sig2pos:979 - The given signal has NaN. Will use 0 to fill
{'obj': 'Sharpe', 'rm': 'MDD', 'model': 'Classic', 'method_mu': 'hist', 'method_cov': 'hist', 'linkage': 'single', 'leaf_order': True, 'codependence': 'pearson', 'lookback_period': 256, 'every': 10, 'nea': 5, 'split_every': False, 'normalize_every': False}
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2025-06-19 19:33:52 | INFO | metric_online:run_optimize_portfolio_new_with_sector_constraints:463 - [v8] 优化前的夏普率: 0.74273
2025-06-19 19:33:52 | INFO | metric_online:run_optimize_portfolio_new_with_sector_constraints:464 - [v8] 优化后的夏普率: 0.94095
2025-06-19 19:33:52 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:33:53 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:33:55 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:33:56 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:33:56 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:33:57 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:33:58 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:33:59 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:33:59 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:00 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:01 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:01 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:02 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:03 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:03 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:03 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:04 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:05 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:05 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:07 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:07 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:07 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
2025-06-19 19:34:09 | WARNING | func_backtester_hf:run_sig2pos:1020 - The given signal has NaN. Will use 0 to fill
[2025-06-19 19:34:10,645][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:10,647][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:10,655][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:10,656][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:10,663][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:10,664][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:12,669][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:12,670][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:12,679][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:12,680][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:12,686][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:12,687][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:14,546][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:14,547][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:14,554][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:14,555][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:14,562][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
[2025-06-19 19:34:14,563][matplotlib.category][INFO] - Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.
2025-06-19 19:34:18 | INFO | metric_online:run_with_hydra:919 - {'action': 'parallel_done', 'success_count': 1, 'fail_count': 0}
2025-06-19 19:34:18 | INFO | metric_online:run_with_hydra:924 - {'action': 'success', 'description': 'metric_online 完成'}