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synced 2026-06-06 05:51:17 +08:00
added 1min for IN and also updated readme
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@@ -37,7 +37,7 @@ pip install -r requirements.txt
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- user can append data to `v2`: [automatic update of daily frequency data](#automatic-update-of-daily-frequency-datafrom-yahoo-finance)
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- **the [benchmarks](https://github.com/microsoft/qlib/tree/main/examples/benchmarks) for qlib use `v1`**, *due to the unstable access to historical data by YahooFinance, there are some differences between `v2` and `v1`*
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- `interval`: `1d` or `1min`, by default `1d`
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- `region`: `cn` or `us`, by default `cn`
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- `region`: `cn` or `us` or `in`, by default `cn`
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- `delete_old`: delete existing data from `target_dir`(*features, calendars, instruments, dataset_cache, features_cache*), value from [`True`, `False`], by default `True`
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- `exists_skip`: traget_dir data already exists, skip `get_data`, value from [`True`, `False`], by default `False`
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- examples:
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@@ -50,6 +50,10 @@ pip install -r requirements.txt
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python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/qlib_us_1d --region us --interval 1d
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# us 1min
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python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/qlib_us_1min --region us --interval 1min
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# in 1d
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python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/qlib_in_1d --region in --interval 1d
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# in 1min
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python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/qlib_in_1min --region in --interval 1min
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```
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### Collector *YahooFinance* data to qlib
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@@ -60,7 +64,7 @@ pip install -r requirements.txt
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- `source_dir`: save the directory
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- `interval`: `1d` or `1min`, by default `1d`
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> **due to the limitation of the *YahooFinance API*, only the last month's data is available in `1min`**
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- `region`: `CN` or `US`, by default `CN`
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- `region`: `CN` or `US` or `IN`, by default `CN`
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- `delay`: `time.sleep(delay)`, by default *0.5*
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- `start`: start datetime, by default *"2000-01-01"*; *closed interval(including start)*
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- `end`: end datetime, by default `pd.Timestamp(datetime.datetime.now() + pd.Timedelta(days=1))`; *open interval(excluding end)*
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@@ -78,6 +82,10 @@ pip install -r requirements.txt
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python collector.py download_data --source_dir ~/.qlib/stock_data/source/us_1d --start 2020-01-01 --end 2020-12-31 --delay 1 --interval 1d --region US
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# us 1min data
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python collector.py download_data --source_dir ~/.qlib/stock_data/source/us_1min --delay 1 --interval 1min --region US
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# in 1d data
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python collector.py download_data --source_dir ~/.qlib/stock_data/source/in_1d --start 2020-01-01 --end 2020-12-31 --delay 1 --interval 1d --region IN
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# in 1min data
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python collector.py download_data --source_dir ~/.qlib/stock_data/source/in_1min --delay 1 --interval 1min --region IN
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```
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2. normalize data: `python scripts/data_collector/yahoo/collector.py normalize_data`
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@@ -87,7 +95,7 @@ pip install -r requirements.txt
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- `max_workers`: number of concurrent, by default *1*
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- `interval`: `1d` or `1min`, by default `1d`
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> if **`interval == 1min`**, `qlib_data_1d_dir` cannot be `None`
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- `region`: `CN` or `US`, by default `CN`
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- `region`: `CN` or `US` or `IN`, by default `CN`
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- `date_field_name`: column *name* identifying time in csv files, by default `date`
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- `symbol_field_name`: column *name* identifying symbol in csv files, by default `symbol`
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- `end_date`: if not `None`, normalize the last date saved (*including end_date*); if `None`, it will ignore this parameter; by default `None`
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@@ -302,6 +302,10 @@ class YahooCollectorIN1d(YahooCollectorIN):
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pass
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class YahooCollectorIN1min(YahooCollectorIN):
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pass
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class YahooNormalize(BaseNormalize):
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COLUMNS = ["open", "close", "high", "low", "volume"]
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DAILY_FORMAT = "%Y-%m-%d"
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@@ -742,6 +746,20 @@ class YahooNormalizeIN1d(YahooNormalizeIN, YahooNormalize1d):
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pass
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class YahooNormalizeIN1min(YahooNormalizeIN, YahooNormalize1minOffline):
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CALC_PAUSED_NUM = False
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def _get_calendar_list(self) -> Iterable[pd.Timestamp]:
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# TODO: support 1min
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raise ValueError("Does not support 1min")
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def _get_1d_calendar_list(self):
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return get_calendar_list("IN_ALL")
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def symbol_to_yahoo(self, symbol):
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return fname_to_code(symbol)
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class YahooNormalizeCN:
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def _get_calendar_list(self) -> Iterable[pd.Timestamp]:
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# TODO: from MSN
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