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release-0.5.0 (#1)
* init commit * change the version number * rich the docs&fix cache docs * update index readme * Modify cache class name * Modify sharpe to information_ratio * Modify Group- to Group * add the description of graphical results & fix the backtest docs * fix docs in details * update docs * Update introduction.rst * Update README.md * Update introduction.rst * Update introduction.rst * Update introduction.rst * Update installation.rst * Update installation.rst * Update initialization.rst * Update getdata.rst * Update integration.rst * Update initialization.rst * Update getdata.rst * Update estimator.rst Modify some typos. * Update README.md Modify the typos. * Update initialization.rst * Update data.rst * Update report.rst * Update estimator.rst * Update cumulative_return.py * Update model.rst * Update rank_label.py * Update cumulative_return.py * Update strategy.rst * Update getdata.rst * Update backtest.rst * Update integration.rst * Update getdata.rst * Update introduction.rst * Update introduction.rst * Update README.md * Update report.rst * Update integration.rst Fix typos * Update installation.rst Fix typos * Update getdata.rst * Update initialization.rst Fix typos. * add quick start docs&fix detials * fix estimator docs & fix strategy docs * fix the cahce in data.rst * update documents * Fix Corr && Rsquare * fix data retrival example to csi300 & fix a data bug * fix filter bug * Fix data collector * Modift model args * add the log & fix README.md\quick.rst * add enviroment depend & add intoduction of qlib-server online mode * fix image center fomat & set log_only of docs is True * fix README.md format * update data preparation & readme logo image * get_data support version * Modify analysis names * Modify analysis graph * update report.rst & data.rst * commmit estimator for merge * minimal requirements * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update READEME.md * Update READEME.md * update estimator * Fix doc urls * fix get_data.py docstring * update test_get_data.py * Upate docs * Upate docs * Upate docs Co-authored-by: bxdd <bxddream@gmail.com> Co-authored-by: zhupr <zhu.pengrong@foxmail.com> Co-authored-by: Wendi Li <wendili.academic@qq.com> Co-authored-by: Dingsu Wang <dingsu.wang@gmail.com> Co-authored-by: bxdd <45119470+bxdd@users.noreply.github.com> Co-authored-by: cslwqxx <cslwqxx@users.noreply.github.com>
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@@ -61,26 +61,26 @@ class OptimizationConfig(object):
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"pred_long",
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"pred_long_short",
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"pred_short",
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"sub_bench",
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"sub_cost",
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"excess_return_without_cost",
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"excess_return_with_cost",
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"model",
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]:
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raise ValueError(
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"report_type should be one of pred_long, pred_long_short, pred_short, sub_bench, sub_cost and model"
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"report_type should be one of pred_long, pred_long_short, pred_short, excess_return_without_cost, excess_return_with_cost and model"
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)
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self.report_factor = config.get("report_factor", "sharpe")
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self.report_factor = config.get("report_factor", "information_ratio")
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if self.report_factor not in [
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"annual",
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"sharpe",
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"mdd",
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"annualized_return",
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"information_ratio",
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"max_drawdown",
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"mean",
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"std",
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"model_score",
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"model_pearsonr",
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]:
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raise ValueError(
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"report_factor should be one of annual, sharpe, mdd, mean, std, model_pearsonr and model_score"
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"report_factor should be one of annualized_return, information_ratio, max_drawdown, mean, std, model_pearsonr and model_score"
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)
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self.optim_type = config.get("optim_type", "max")
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