From c539d81223512752d051e855acf25713691adfa5 Mon Sep 17 00:00:00 2001 From: Jactus Date: Fri, 25 Sep 2020 11:57:06 +0800 Subject: [PATCH 1/3] Add docs for explaining prepared dataset --- README.md | 24 +++++++++++++----------- docs/start/initialization.rst | 2 +- scripts/get_data.py | 1 + 3 files changed, 15 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index c9cb709793..04657df9ec 100644 --- a/README.md +++ b/README.md @@ -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.*