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Support Point-in-time Data Operation (#343)
* add period ops class * black format * add pit data read * fix bug in period ops * update ops runnable * update PIT test example * black format * update PIT test * update tets_PIT * update code format * add check_feature_exist * black format * optimize the PIT Algorithm * fix bug * update example * update test_PIT name * add pit collector * black format * fix bugs * fix try * fix bug & add dump_pit.py * Successfully run and understand PIT * Add some docs and remove a bug * mv crypto collector * black format * Run succesfully after merging master * Pass test and fix code * remove useless PIT code * fix PYlint * Rename Co-authored-by: Young <afe.young@gmail.com>
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@@ -11,6 +11,8 @@
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Recent released features
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| Feature | Status |
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| -- | ------ |
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| Point-in-Time database | :hammer: [Rleased](https://github.com/microsoft/qlib/pull/343) on Mar 10, 2022 |
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| Arctic Provider Backend & Orderbook data example | :hammer: [Rleased](https://github.com/microsoft/qlib/pull/744) on Jan 17, 2022 |
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| Arctic Provider Backend & Orderbook data example | :hammer: [Rleased](https://github.com/microsoft/qlib/pull/744) on Jan 17, 2022 |
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| Meta-Learning-based framework & DDG-DA | :chart_with_upwards_trend: :hammer: [Released](https://github.com/microsoft/qlib/pull/743) on Jan 10, 2022 |
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| Planning-based portfolio optimization | :hammer: [Released](https://github.com/microsoft/qlib/pull/754) on Dec 28, 2021 |
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@@ -95,9 +97,8 @@ For more details, please refer to our paper ["Qlib: An AI-oriented Quantitative
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# 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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| Point-in-Time database | Under review: https://github.com/microsoft/qlib/pull/343 |
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<!-- | Feature | Status | -->
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<!-- | -- | ------ | -->
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# Framework of Qlib
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