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Update plan and news on Index Page
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35
README.md
35
README.md
@@ -21,6 +21,7 @@ With Qlib, users can easily try ideas to create better Quant investment strategi
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For more details, please refer to our paper ["Qlib: An AI-oriented Quantitative Investment Platform"](https://arxiv.org/abs/2009.11189).
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- [**News**](#news-and-plans)
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- [Framework of Qlib](#framework-of-qlib)
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- [Quick Start](#quick-start)
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- [Installation](#installation)
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@@ -34,11 +35,32 @@ For more details, please refer to our paper ["Qlib: An AI-oriented Quantitative
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- [More About Qlib](#more-about-qlib)
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- [Offline Mode and Online Mode](#offline-mode-and-online-mode)
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- [Performance of Qlib Data Server](#performance-of-qlib-data-server)
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- [**News**](#news)
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- [Related Reports](#related-reports)
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- [Contributing](#contributing)
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# News And Plans
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New features under development(order by estimated release time).
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Your feedbacks about the features are very important.
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| Feature | Status |
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| -- | ------ |
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| Online serving and automatic model rolling | Under review: https://github.com/microsoft/qlib/pull/290 |
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| Planning-based portfolio optimization | Under review: https://github.com/microsoft/qlib/pull/280 |
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| Fund data supporting and analysis | Under review: https://github.com/microsoft/qlib/pull/292 |
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| Point-in-Time database | Under review: https://github.com/microsoft/qlib/pull/343 |
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| High-frequency trading | Initial opensource version under development |
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| Meta-Learning-based data selection | Initial opensource version under development |
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Recent released features
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| Feature | Status |
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| -- | ------ |
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| DoubleEnsemble Model | Released https://github.com/microsoft/qlib/pull/286 |
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| High-frequency data processing example | Released https://github.com/microsoft/qlib/pull/257 |
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| High-frequency trading example | Part of code released https://github.com/microsoft/qlib/pull/227 |
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| High-frequency data(1min) | Released https://github.com/microsoft/qlib/pull/221 |
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| Tabnet Model | Released https://github.com/microsoft/qlib/pull/205 |
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Features released before 2021 is not listed here.
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# Framework of Qlib
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@@ -319,17 +341,6 @@ Most general-purpose databases take too much time to load data. After looking in
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Such overheads greatly slow down the data loading process.
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Qlib data are stored in a compact format, which is efficient to be combined into arrays for scientific computation.
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# News
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New features under development(order by estimated release time).
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Your feedbacks about the features are very important.
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| Feature | Status |
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| -- | ------ |
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| Online serving and automatic model rolling | Under review: https://github.com/microsoft/qlib/pull/290 |
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| Planning-based portfolio optimization | Under review: https://github.com/microsoft/qlib/pull/280 |
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| Point-in-Time database | Under review: https://github.com/microsoft/qlib/pull/343 |
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| High-frequency trading | Initial opensource version under development |
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| Meta-Learning-based data selection | Initial opensource version under development |
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# Related Reports
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- [【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)
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- [Guide To Qlib: Microsoft’s AI Investment Platform](https://analyticsindiamag.com/qlib/)
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