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@@ -27,6 +27,7 @@ For more details, please refer to our paper ["Qlib: An AI-oriented Quantitative
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- [Data Preparation](#data-preparation)
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- [Data Preparation](#data-preparation)
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- [Auto Quant Research Workflow](#auto-quant-research-workflow)
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- [Auto Quant Research Workflow](#auto-quant-research-workflow)
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- [Building Customized Quant Research Workflow by Code](#building-customized-quant-research-workflow-by-code)
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- [Building Customized Quant Research Workflow by Code](#building-customized-quant-research-workflow-by-code)
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- [Quant Model Zoo](#quant-model-zoo)
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- [Run a single model](#run-a-single-model)
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- [Run a single model](#run-a-single-model)
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- [Run multiple models](#run-multiple-models)
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- [Run multiple models](#run-multiple-models)
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- [Quant Dataset Zoo](#quant-dataset-zoo)
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- [Quant Dataset Zoo](#quant-dataset-zoo)
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@@ -189,7 +190,7 @@ Qlib provides a tool named `qrun` to run the whole workflow automatically (inclu
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The automatic workflow may not suite 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.
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The automatic workflow may not suite 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.
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[# Quant Model Zoo](examples/benchmarks)
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# [Quant Model Zoo](examples/benchmarks)
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## Run a single model
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## Run a single model
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`Qlib` provides three different ways to run a single model, users can pick the one that fits their cases best:
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`Qlib` provides three different ways to run a single model, users can pick the one that fits their cases best:
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