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support collecting yahoo 1min data
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@@ -18,23 +18,81 @@ pip install -r requirements.txt
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## Collector Data
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### Download data and Normalize data
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```bash
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python collector.py collector_data --source_dir ~/.qlib/stock_data/source --region CN --start 2020-11-01 --end 2020-11-10 --delay 0.1 --interval 1d --normalize_dir ~/.qlib/stock_data/normalize
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```
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### Download Data
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### CN Data
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#### 1d
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```bash
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python collector.py download_data --source_dir ~/.qlib/stock_data/source --region CN --start 2020-11-01 --end 2020-11-10 --delay 0.1 --interval 1d
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# download from yahoo finance
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python collector.py download_data --source_dir ~/.qlib/stock_data/source/cn_1d --region CN --start 2020-11-01 --end 2020-11-10 --delay 0.1 --interval 1d
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# normalize
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python collector.py normalize_data --source_dir ~/.qlib/stock_data/source/cn_1d --normalize_dir ~/.qlib/stock_data/source/cn_1d_nor --region CN --interval 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"), ["$close"], freq="day")
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```
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### Normalize Data
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#### 1min
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```bash
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python collector.py normalize_data --source_dir ~/.qlib/stock_data/source --normalize_dir ~/.qlib/stock_data/normalize --region CN
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# download from yahoo finance
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python collector.py download_data --source_dir ~/.qlib/stock_data/source/cn_1min --region CN --start 2020-11-01 --end 2020-11-10 --delay 0.1 --interval 1min
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# normalize
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python collector.py normalize_data --source_dir ~/.qlib/stock_data/source/cn_1min --normalize_dir ~/.qlib/stock_data/source/cn_1min_nor --region CN --interval 1min
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# dump data
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cd qlib/scripts
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python dump_bin.py dump_all --csv_path ~/.qlib/stock_data/source/cn_1min_nor --qlib_dir ~/.qlib/stock_data/source/qlib_cn_1min --freq 1min --exclude_fields date,adjclose,dividends,splits,symbol
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# using
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import qlib
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from qlib.data import D
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qlib.init(provider_uri="~/.qlib/stock_data/source/qlib_cn_1min", region="CN")
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df = D.features(D.instruments("all"), ["$close"], freq="1min")
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```
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### US Data
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#### 1d
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```bash
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# download from yahoo finance
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python collector.py download_data --source_dir ~/.qlib/stock_data/source/us_1d --region US --start 2020-11-01 --end 2020-11-10 --delay 0.1 --interval 1d
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# normalize
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python collector.py normalize_data --source_dir ~/.qlib/stock_data/source/us_1d --normalize_dir ~/.qlib/stock_data/source/us_1d_nor --region US --interval 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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# 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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df = D.features(D.instruments("all"), ["$close"], freq="day")
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```
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### Help
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```bash
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pythono collector.py collector_data --help
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@@ -42,5 +100,5 @@ pythono collector.py collector_data --help
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## Parameters
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- interval: 1m or 1d
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- interval: 1min or 1d
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- region: CN or US
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