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@@ -163,7 +163,7 @@ Users could create the same dataset with it.
*Please pay **ATTENTION** that the data is collected from [Yahoo Finance](https://finance.yahoo.com/lookup), and the data might not be perfect.
We recommend users to prepare their own data if they have a high-quality dataset. For more information, users can refer to the [related document](https://qlib.readthedocs.io/en/latest/component/data.html#converting-csv-format-into-qlib-format)*.
### Automatic update of daily frequency data(from yahoo finance)
### Automatic update of daily frequency data (from yahoo finance)
> It is recommended that users update the data manually once (--trading_date 2021-05-25) and then set it to update automatically.
> For more information refer to: [yahoo collector](https://github.com/microsoft/qlib/tree/main/scripts/data_collector/yahoo#automatic-update-of-daily-frequency-datafrom-yahoo-finance)
@@ -277,7 +277,7 @@ Qlib provides a tool named `qrun` to run the whole workflow automatically (inclu
The automatic workflow may not suit the research workflow of all Quant researchers. To support a flexible Quant research workflow, Qlib also provides a modularized interface to allow researchers to build their own workflow by code. [Here](examples/workflow_by_code.ipynb) is a demo for customized Quant research workflow by code.
# [Quant Model(Paper) Zoo](examples/benchmarks)
# [Quant Model (Paper) Zoo](examples/benchmarks)
Here is a list of models built on `Qlib`.
- [GBDT based on XGBoost (Tianqi Chen, et al. KDD 2016)](qlib/contrib/model/xgboost.py)