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Update plan and news on Index Page

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2021-03-17 12:02:24 +08:00
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@@ -21,6 +21,7 @@ With Qlib, users can easily try ideas to create better Quant investment strategi
For more details, please refer to our paper ["Qlib: An AI-oriented Quantitative Investment Platform"](https://arxiv.org/abs/2009.11189).
- [**News**](#news-and-plans)
- [Framework of Qlib](#framework-of-qlib)
- [Quick Start](#quick-start)
- [Installation](#installation)
@@ -34,11 +35,32 @@ For more details, please refer to our paper ["Qlib: An AI-oriented Quantitative
- [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)
- [**News**](#news)
- [Related Reports](#related-reports)
- [Contributing](#contributing)
# News And Plans
New features under development(order by estimated release time).
Your feedbacks about the features are very important.
| Feature | Status |
| -- | ------ |
| Online serving and automatic model rolling | Under review: https://github.com/microsoft/qlib/pull/290 |
| Planning-based portfolio optimization | Under review: https://github.com/microsoft/qlib/pull/280 |
| Fund data supporting and analysis | Under review: https://github.com/microsoft/qlib/pull/292 |
| Point-in-Time database | Under review: https://github.com/microsoft/qlib/pull/343 |
| High-frequency trading | Initial opensource version under development |
| Meta-Learning-based data selection | Initial opensource version under development |
Recent released features
| Feature | Status |
| -- | ------ |
| DoubleEnsemble Model | Released https://github.com/microsoft/qlib/pull/286 |
| High-frequency data processing example | Released https://github.com/microsoft/qlib/pull/257 |
| High-frequency trading example | Part of code released https://github.com/microsoft/qlib/pull/227 |
| High-frequency data(1min) | Released https://github.com/microsoft/qlib/pull/221 |
| Tabnet Model | Released https://github.com/microsoft/qlib/pull/205 |
Features released before 2021 is not listed here.
# Framework of Qlib
@@ -319,17 +341,6 @@ Most general-purpose databases take too much time to load data. After looking in
Such overheads greatly slow down the data loading process.
Qlib data are stored in a compact format, which is efficient to be combined into arrays for scientific computation.
# News
New features under development(order by estimated release time).
Your feedbacks about the features are very important.
| Feature | Status |
| -- | ------ |
| Online serving and automatic model rolling | Under review: https://github.com/microsoft/qlib/pull/290 |
| Planning-based portfolio optimization | Under review: https://github.com/microsoft/qlib/pull/280 |
| Point-in-Time database | Under review: https://github.com/microsoft/qlib/pull/343 |
| High-frequency trading | Initial opensource version under development |
| Meta-Learning-based data selection | Initial opensource version under development |
# Related Reports
- [【华泰金工林晓明团队】图神经网络选股与Qlib实践——华泰人工智能系列之四十二](https://mp.weixin.qq.com/s/w5fDB6oAv9dO6vlhf1kmhA)
- [Guide To Qlib: Microsofts AI Investment Platform](https://analyticsindiamag.com/qlib/)