phyer/myTestFreqAI
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41 Commits

Author SHA1 Message Date
zhangkun9038@dingtalk.com
4b2fd054b5 stable1 4 2025-04-28 17:54:40 +08:00
zhangkun9038@dingtalk.com
5ef9dd3d61 stable1 4 2025-04-28 17:54:01 +08:00
zhangkun9038@dingtalk.com
9acebf9952 stable1 3 2025-04-28 17:53:27 +08:00
zhangkun9038@dingtalk.com
8f4c374e6b 检查 MACD 列是否存在
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2025-04-28 17:01:30 +08:00
zhangkun9038@dingtalk.com
ff7aff8ee7 检查 MACD 列是否存在
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2025-04-28 16:51:18 +08:00
zhangkun9038@dingtalk.com
e5cc226c01 检查 MACD 列是否存在
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2025-04-28 16:48:53 +08:00
zhangkun9038@dingtalk.com
b20684b5b1 up3
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2025-04-28 16:12:02 +08:00
zhangkun9038@dingtalk.com
96b76ffcc0 up3
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2025-04-28 16:09:50 +08:00
zhangkun9038@dingtalk.com
0fa0866370 up3
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2025-04-28 16:09:02 +08:00
zhangkun9038@dingtalk.com
887c4778b4 up3
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2025-04-28 16:07:03 +08:00
zhangkun9038@dingtalk.com
8777726441 up
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2025-04-28 15:49:02 +08:00
zhangkun9038@dingtalk.com
b6b9a62c35 up
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2025-04-28 15:47:10 +08:00
zhangkun9038@dingtalk.com
3fafbff8c3 up
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2025-04-28 15:44:22 +08:00
zhangkun9038@dingtalk.com
144615b7a8 跟特征数量没关系
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2025-04-28 14:13:16 +08:00
zhangkun9038@dingtalk.com
29fd0941a0 跟特征数量没关系
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2025-04-28 14:08:34 +08:00
zhangkun9038@dingtalk.com
ec7d7c2842 跟特征数量没关系
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2025-04-28 14:07:32 +08:00
zhangkun9038@dingtalk.com
ea707fe104 跟特征数量没关系
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2025-04-28 14:06:49 +08:00
zhangkun9038@dingtalk.com
2f4a06d505 跟特征数量没关系
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2025-04-28 13:59:16 +08:00
zhangkun9038@dingtalk.com
8477bf07c7 增加特征
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2025-04-28 13:23:49 +08:00
zhangkun9038@dingtalk.com
03a54a5b0a 添加更多技术指标
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2025-04-28 13:13:19 +08:00
zhangkun9038@dingtalk.com
e3ffdd92e0 ：生成的特征可能不够稳定，导致新数据与训练数据差异过大
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2025-04-28 13:01:27 +08:00
zhangkun9038@dingtalk.com
c3e4a73eb3 缩进乱了
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2025-04-28 12:49:02 +08:00
zhangkun9038@dingtalk.com
21e4c2f2ea 数据清理
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2025-04-28 12:45:19 +08:00
zhangkun9038@dingtalk.com
86e9a2ab61 确保 &-buy_rsi 列的值计算正确
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2025-04-28 12:42:12 +08:00
zhangkun9038@dingtalk.com
05b65162a1 Additional check to ensure no NaN values remain
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2025-04-28 12:34:47 +08:00
zhangkun9038@dingtalk.com
64e2edfa4e 计算 buy_rsi_pred 并清理 NaN 值
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2025-04-28 12:31:10 +08:00
zhangkun9038@dingtalk.com
328769e0e1 up
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2025-04-28 12:25:20 +08:00
zhangkun9038@dingtalk.com
82ed0e90e9 up
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2025-04-28 12:21:53 +08:00
zhangkun9038@dingtalk.com
244b91ebd3 up
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2025-04-28 12:20:59 +08:00
zhangkun9038@dingtalk.com
e0884d4349 up
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2025-04-28 12:16:22 +08:00
zhangkun9038@dingtalk.com
456ae1fde0 up
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2025-04-28 12:10:17 +08:00
zhangkun9038@dingtalk.com
c145d5d452 up
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2025-04-28 11:52:45 +08:00
zhangkun9038@dingtalk.com
872bfe4078 up
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2025-04-28 11:38:27 +08:00
zhangkun9038@dingtalk.com
6e4e54b9c8 去掉看底牌代码
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2025-04-28 11:34:17 +08:00
zhangkun9038@dingtalk.com
a6ef1ce401 backtesting 通过了, 继续优化 2025-04-23 21:32:58 +08:00
zhangkun9038@dingtalk.com
cbb1de8a02 当前代码结合 hyperopt 结果不错, 下一步尝试 如何转化到 backtesting上能呈现类似的结果 2025-04-23 20:30:09 +08:00
zhangkun9038@dingtalk.com
b154f5f95d merged 2025-04-23 17:48:12 +08:00
zhangkun9038@dingtalk.com
983729d91c 测试使用 XGBoostClassifier 的效果 2025-04-23 17:35:48 +08:00
Ubuntu
705d57b5d4 up 2025-04-23 13:07:55 +08:00
Ubuntu
60b14a6155 当前策略针对回归类型的模型 2025-04-22 19:04:37 +08:00
Ubuntu
17199e9a44 first add
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2025-04-21 21:11:51 +08:00