update finetune scripts
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@ -167,12 +167,6 @@ Running this script will generate a plot comparing the ground truth data against
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Additionally, we also provide a script that makes predictions without Volume and Amount data, which can be found in [`examples/prediction_wo_vol_example.py`](examples/prediction_wo_vol_example.py).
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Additionally, we also provide a script that makes predictions without Volume and Amount data, which can be found in [`examples/prediction_wo_vol_example.py`](examples/prediction_wo_vol_example.py).
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好的,收到了你的反馈!这两个建议都非常好,加入示例图能让结果更直观,而泛化“Backtesting Complexity”的描述能让建议更具普适性。
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我已经根据你的反馈更新了内容。以下是修改后的版本,你可以直接替换掉之前的内容。
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## 🔧 Finetuning on Your Own Data (A-Share Market Example)
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## 🔧 Finetuning on Your Own Data (A-Share Market Example)
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We provide a complete pipeline for finetuning Kronos on your own datasets. As an example, we demonstrate how to use [Qlib](https://github.com/microsoft/qlib) to prepare data from the Chinese A-share market and conduct a simple backtest.
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We provide a complete pipeline for finetuning Kronos on your own datasets. As an example, we demonstrate how to use [Qlib](https://github.com/microsoft/qlib) to prepare data from the Chinese A-share market and conduct a simple backtest.
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