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mirror of https://github.com/microsoft/qlib.git synced 2026-07-12 23:36:54 +08:00

Add docs for explaining prepared dataset

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Jactus
2020-09-25 11:57:06 +08:00
parent 3557fac1ae
commit c539d81223
3 changed files with 15 additions and 12 deletions

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@@ -11,16 +11,16 @@ With Qlib, you can easily try your ideas to create better Quant investment strat
For more details, please refer to our paper ["Qlib: An AI-oriented Quantitative Investment Platform"](https://arxiv.org/abs/2009.11189).
- [Framework of Qlib](#Framework-of-Qlib)
- [Quick Start](#Quick-Start)
- [Installation](#Installation)
- [Data Preparation](#Data-Preparation)
- [Auto Quant Research Workflow with](#Auto-Quant-Research-Workflow)
- [Building Customized Quant Research Workflow by Code](#Building-Customized-Quant-Research-Workflow-by-Code)
- [More About Qlib](#More-About-Qlib)
- [Offline Mode and Online Mode](#Offline-Mode-and-Online-Mode)
- [Performance of Qlib Data Server](#Performance-of-Qlib-Data-Server)
- [Contributing](#Contributing)
- [Framework of Qlib](#framework-of-qlib)
- [Quick Start](#quick-start)
- [Installation](#installation)
- [Data Preparation](#data-preparation)
- [Auto Quant Research Workflow](#auto-quant-research-workflow)
- [Building Customized Quant Research Workflow by Code](#building-customized-quant-research-workflow-by-code)
- [More About Qlib](#more-about-qlib)
- [Offline Mode and Online Mode](#offline-mode-and-online-mode)
- [Performance of Qlib Data Server](#performance-of-qlib-data-server)
- [Contributing](#contributing)
@@ -77,7 +77,9 @@ Load and prepare data by running the following code:
This dataset is created by public data collected by [crawler scripts](scripts/data_collector/), which have been released in
the same repository.
Users could create the same dataset with it.
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 high-quality dataset.*
<!--
- Run the initialization code and get stock data: