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update 1min docs
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@@ -21,7 +21,7 @@ pip install -r requirements.txt
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### CN Data
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#### 1d
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#### 1d from yahoo
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```bash
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@@ -33,18 +33,26 @@ python collector.py normalize_data --source_dir ~/.qlib/stock_data/source/cn_1d
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# dump data
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cd qlib/scripts
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python dump_bin.py dump_all --csv_path ~/.qlib/stock_data/source/cn_1d_nor --qlib_dir ~/.qlib/stock_data/source/qlib_cn_1d --freq day --exclude_fields date,adjclose,dividends,splits,symbol
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# using
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import qlib
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from qlib.data import D
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qlib.init(provider_uri="~/.qlib/stock_data/source/qlib_cn_1d", region="CN")
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df = D.features(D.instruments("all"), ["$close"], freq="day")
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python dump_bin.py dump_all --csv_path ~/.qlib/stock_data/source/cn_1d_nor --qlib_dir ~/.qlib/qlib_data/qlib_cn_1d --freq day --exclude_fields date,adjclose,dividends,splits,symbol
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```
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#### 1min
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### 1d from qlib
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```bash
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python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/qlib_cn_1d --region cn
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```
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### using data
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```python
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import qlib
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from qlib.data import D
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qlib.init(provider_uri="~/.qlib/qlib_data/qlib_cn_1d", region="CN")
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df = D.features(D.instruments("all"), ["$close"], freq="day")
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```
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#### 1min from yahoo
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```bash
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@@ -56,20 +64,28 @@ python collector.py normalize_data --source_dir ~/.qlib/stock_data/source/cn_1mi
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# dump data
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cd qlib/scripts
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python dump_bin.py dump_all --csv_path ~/.qlib/stock_data/source/cn_1min_nor --qlib_dir ~/.qlib/stock_data/source/qlib_cn_1min --freq 1min --exclude_fields date,adjclose,dividends,splits,symbol
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python dump_bin.py dump_all --csv_path ~/.qlib/stock_data/source/cn_1min_nor --qlib_dir ~/.qlib/qlib_data/qlib_cn_1min --freq 1min --exclude_fields date,adjclose,dividends,splits,symbol
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```
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# using
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### 1min from qlib
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```bash
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python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/qlib_cn_1min --interval 1min --region cn
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```
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### using data
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```python
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import qlib
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from qlib.data import D
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qlib.init(provider_uri="~/.qlib/stock_data/source/qlib_cn_1min", region="CN")
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qlib.init(provider_uri="~/.qlib/qlib_data/qlib_cn_1min", region="CN")
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df = D.features(D.instruments("all"), ["$close"], freq="1min")
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```
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### US Data
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#### 1d
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#### 1d from yahoo
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```bash
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@@ -82,12 +98,22 @@ python collector.py normalize_data --source_dir ~/.qlib/stock_data/source/us_1d
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# dump data
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cd qlib/scripts
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python dump_bin.py dump_all --csv_path ~/.qlib/stock_data/source/cn_1d_nor --qlib_dir ~/.qlib/stock_data/source/qlib_us_1d --freq day --exclude_fields date,adjclose,dividends,splits,symbol
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```
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#### 1d from qlib
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```bash
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python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/qlib_us_1d --region us
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```
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### using data
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```python
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# using
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import qlib
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from qlib.data import D
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qlib.init(provider_uri="~/.qlib/stock_data/source/qlib_us_1d", region="US")
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qlib.init(provider_uri="~/.qlib/qlib_data/qlib_us_1d", region="US")
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df = D.features(D.instruments("all"), ["$close"], freq="day")
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```
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