alpaca module¶
Module with AlpacaData.
AlpacaData class¶
AlpacaData(
wrapper,
data,
single_key=True,
classes=None,
level_name=None,
fetch_kwargs=None,
returned_kwargs=None,
last_index=None,
delisted=None,
tz_localize=None,
tz_convert=None,
missing_index=None,
missing_columns=None,
**kwargs
)
Data class for fetching from Alpaca.
See https://github.com/alpacahq/alpaca-py for API.
See AlpacaData.fetch_symbol() for arguments.
Usage
- Set up the API key globally (optional for crypto):
>>> from vectorbtpro import *
>>> vbt.AlpacaData.set_custom_settings(
... client_config=dict(
... api_key="YOUR_KEY",
... secret_key="YOUR_SECRET"
... )
... )
- Pull stock data:
>>> data = vbt.AlpacaData.pull(
... "AAPL",
... start="2021-01-01",
... end="2022-01-01",
... timeframe="1 day"
... )
- Pull crypto data:
>>> data = vbt.AlpacaData.pull(
... "BTCUSD",
... client_type="crypto",
... start="2021-01-01",
... end="2022-01-01",
... timeframe="1 day"
... )
Superclasses
- Analyzable
- AttrResolverMixin
- BaseDataMixin
- Cacheable
- Chainable
- Comparable
- Configured
- CustomData
- Data
- DataWithFeatures
- ExtPandasIndexer
- HasSettings
- IndexApplier
- IndexingBase
- Itemable
- OHLCDataMixin
- PandasIndexer
- Paramable
- Pickleable
- PlotsBuilderMixin
- Prettified
- RemoteData
- StatsBuilderMixin
- Wrapping
Inherited members
- AttrResolverMixin.deep_getattr()
- AttrResolverMixin.post_resolve_attr()
- AttrResolverMixin.pre_resolve_attr()
- AttrResolverMixin.resolve_attr()
- AttrResolverMixin.resolve_shortcut_attr()
- BaseDataMixin.assert_has_feature()
- BaseDataMixin.assert_has_symbol()
- BaseDataMixin.get_feature()
- BaseDataMixin.get_feature_idx()
- BaseDataMixin.get_symbol()
- BaseDataMixin.get_symbol_idx()
- BaseDataMixin.has_feature()
- BaseDataMixin.has_multiple_keys()
- BaseDataMixin.has_symbol()
- BaseDataMixin.prepare_key()
- BaseDataMixin.select_features()
- BaseDataMixin.select_symbols()
- Cacheable.get_ca_setup()
- Chainable.pipe()
- Configured.copy()
- Configured.equals()
- Configured.get_writeable_attrs()
- Configured.prettify()
- Configured.resolve_merge_kwargs()
- Configured.update_config()
- CustomData.get_custom_setting()
- CustomData.get_custom_settings()
- CustomData.has_custom_setting()
- CustomData.has_custom_settings()
- CustomData.key_match()
- CustomData.resolve_custom_setting()
- CustomData.set_custom_settings()
- Data.add()
- Data.add_column()
- Data.add_feature()
- Data.add_key()
- Data.add_symbol()
- Data.align_columns()
- Data.align_data()
- Data.align_index()
- Data.build_feature_config_doc()
- Data.check_dict_type()
- Data.column_stack()
- Data.concat()
- Data.dropna()
- Data.fetch()
- Data.fetch_feature()
- Data.fix_data_dict_type()
- Data.fix_dict_types_in_kwargs()
- Data.from_csv()
- Data.from_data()
- Data.from_data_str()
- Data.from_duckdb()
- Data.from_feather()
- Data.from_hdf()
- Data.from_parquet()
- Data.from_sql()
- Data.get()
- Data.get_base_setting()
- Data.get_base_settings()
- Data.get_feature_wrapper()
- Data.get_intersection_dict()
- Data.get_key_index()
- Data.get_key_wrapper()
- Data.get_keys()
- Data.get_level_name()
- Data.get_symbol_wrapper()
- Data.has_base_setting()
- Data.has_base_settings()
- Data.has_key_dict()
- Data.indexing_func()
- Data.invert()
- Data.invert_data()
- Data.items()
- Data.merge()
- Data.modify_state()
- Data.override_feature_config_doc()
- Data.plot()
- Data.prepare_dt()
- Data.prepare_dt_column()
- Data.prepare_dt_index()
- Data.prepare_tzaware_index()
- Data.pull()
- Data.realign()
- Data.remove()
- Data.remove_columns()
- Data.remove_features()
- Data.remove_keys()
- Data.remove_symbols()
- Data.rename()
- Data.rename_columns()
- Data.rename_features()
- Data.rename_in_dict()
- Data.rename_keys()
- Data.rename_symbols()
- Data.replace()
- Data.resample()
- Data.resolve_base_setting()
- Data.resolve_columns()
- Data.resolve_features()
- Data.resolve_key_arg()
- Data.resolve_keys()
- Data.resolve_keys_meta()
- Data.resolve_symbols()
- Data.row_stack()
- Data.run()
- Data.select()
- Data.select_classes()
- Data.select_columns()
- Data.select_delisted()
- Data.select_feature_from_dict()
- Data.select_feature_idxs()
- Data.select_feature_kwargs()
- Data.select_fetch_kwargs()
- Data.select_from_dict()
- Data.select_key_from_dict()
- Data.select_key_kwargs()
- Data.select_keys()
- Data.select_last_index()
- Data.select_returned_kwargs()
- Data.select_run_func_args()
- Data.select_run_func_kwargs()
- Data.select_symbol_from_dict()
- Data.select_symbol_idxs()
- Data.select_symbol_kwargs()
- Data.set_base_settings()
- Data.sql()
- Data.switch_class()
- Data.to_csv()
- Data.to_duckdb()
- Data.to_feather()
- Data.to_feature_oriented()
- Data.to_hdf()
- Data.to_parquet()
- Data.to_sql()
- Data.to_symbol_oriented()
- Data.transform()
- Data.try_fetch_feature()
- Data.try_fetch_symbol()
- Data.try_run()
- Data.try_update_feature()
- Data.try_update_symbol()
- Data.update()
- Data.update_classes()
- Data.update_feature()
- Data.update_fetch_kwargs()
- Data.update_returned_kwargs()
- Data.update_symbol()
- Data.use_feature_config_of()
- HasSettings.get_path_setting()
- HasSettings.get_path_settings()
- HasSettings.get_setting()
- HasSettings.get_settings()
- HasSettings.has_path_setting()
- HasSettings.has_path_settings()
- HasSettings.has_setting()
- HasSettings.has_settings()
- HasSettings.reset_settings()
- HasSettings.resolve_setting()
- HasSettings.resolve_settings_paths()
- HasSettings.set_settings()
- IndexApplier.add_levels()
- IndexApplier.drop_duplicate_levels()
- IndexApplier.drop_levels()
- IndexApplier.drop_redundant_levels()
- IndexApplier.rename_levels()
- IndexApplier.select_levels()
- IndexingBase.indexing_setter_func()
- OHLCDataMixin.get_daily_log_returns()
- OHLCDataMixin.get_daily_returns()
- OHLCDataMixin.get_drawdowns()
- OHLCDataMixin.get_log_returns()
- OHLCDataMixin.get_returns()
- OHLCDataMixin.get_returns_acc()
- PandasIndexer.xs()
- Pickleable.decode_config()
- Pickleable.decode_config_node()
- Pickleable.dumps()
- Pickleable.encode_config()
- Pickleable.encode_config_node()
- Pickleable.file_exists()
- Pickleable.getsize()
- Pickleable.load()
- Pickleable.loads()
- Pickleable.resolve_file_path()
- Pickleable.save()
- PlotsBuilderMixin.build_subplots_doc()
- PlotsBuilderMixin.override_subplots_doc()
- PlotsBuilderMixin.plots()
- RemoteData.classes
- RemoteData.close
- RemoteData.cls_dir
- RemoteData.column_only_select
- RemoteData.column_type
- RemoteData.columns
- RemoteData.config
- RemoteData.daily_log_returns
- RemoteData.daily_returns
- RemoteData.data
- RemoteData.delisted
- RemoteData.dict_type
- RemoteData.drawdowns
- RemoteData.feature_classes
- RemoteData.feature_config
- RemoteData.feature_oriented
- RemoteData.feature_wrapper
- RemoteData.features
- RemoteData.fetch_kwargs
- RemoteData.freq
- RemoteData.group_select
- RemoteData.has_any_ohlc
- RemoteData.has_any_ohlcv
- RemoteData.has_ohlc
- RemoteData.has_ohlcv
- RemoteData.high
- RemoteData.hlc3
- RemoteData.iloc
- RemoteData.index
- RemoteData.indexing_kwargs
- RemoteData.key_index
- RemoteData.key_wrapper
- RemoteData.keys
- RemoteData.last_index
- RemoteData.level_name
- RemoteData.loc
- RemoteData.log_returns
- RemoteData.low
- RemoteData.missing_columns
- RemoteData.missing_index
- RemoteData.ndim
- RemoteData.ohlc
- RemoteData.ohlc4
- RemoteData.ohlcv
- RemoteData.open
- RemoteData.plots_defaults
- RemoteData.range_only_select
- RemoteData.rec_state
- RemoteData.returned_kwargs
- RemoteData.returns
- RemoteData.returns_acc
- RemoteData.self_aliases
- RemoteData.shape
- RemoteData.shape_2d
- RemoteData.single_feature
- RemoteData.single_key
- RemoteData.single_symbol
- RemoteData.stats_defaults
- RemoteData.symbol_classes
- RemoteData.symbol_oriented
- RemoteData.symbol_wrapper
- RemoteData.symbols
- RemoteData.trade_count
- RemoteData.tz_convert
- RemoteData.tz_localize
- RemoteData.volume
- RemoteData.vwap
- RemoteData.wrapper
- RemoteData.xloc
- StatsBuilderMixin.build_metrics_doc()
- StatsBuilderMixin.override_metrics_doc()
- StatsBuilderMixin.stats()
- Wrapping.apply_to_index()
- Wrapping.as_param()
- Wrapping.regroup()
- Wrapping.resolve_column_stack_kwargs()
- Wrapping.resolve_row_stack_kwargs()
- Wrapping.resolve_self()
- Wrapping.resolve_stack_kwargs()
- Wrapping.select_col()
- Wrapping.select_col_from_obj()
- Wrapping.split()
- Wrapping.split_apply()
fetch_symbol class method¶
AlpacaData.fetch_symbol(
symbol,
client=None,
client_type=None,
client_config=None,
start=None,
end=None,
timeframe=None,
tz=None,
adjustment=None,
feed=None,
limit=None
)
Override Data.fetch_symbol() to fetch a symbol from Alpaca.
Args
symbol:str- Symbol.
client:alpaca.common.rest.RESTClient-
Client.
client_type:str-
Client type.
client_config:dict-
Client config.
start:any-
Start datetime.
end:any-
End datetime.
timeframe:str-
Timeframe.
Allows human-readable strings such as "15 minutes".
tz:any-
Timezone.
See to_timezone().
adjustment:str-
Specifies the corporate action adjustment for the returned bars.
Options are: "raw", "split", "dividend" or "all". Default is "raw".
feed:str-
The feed to pull market data from.
This is either "iex", "otc", or "sip". Feeds "sip" and "otc" are only available to those with a subscription. Default is "iex" for free plans and "sip" for paid.
limit:int- The maximum number of returned items.
For defaults, see custom.alpaca in data. Global settings can be provided per exchange id using the exchanges dictionary.
list_symbols class method¶
AlpacaData.list_symbols(
pattern=None,
use_regex=False,
sort=True,
status=None,
asset_class=None,
exchange=None,
trading_client=None,
client_config=None
)
List all symbols.
Uses CustomData.key_match() to check each symbol against pattern.
Arguments status, asset_class, and exchange can be strings, such as asset_class="crypto". For possible values, take a look into alpaca.trading.enums.
Note
If you get an authorization error, make sure that you either enable or disable the paper flag in client_config depending upon the account whose credentials you used. By default, the credentials are assumed to be of a live trading account (paper=False).
resolve_client class method¶
Resolve the client.
If provided, must be of the type alpaca.data.historical.CryptoHistoricalDataClient for client_type="crypto" and alpaca.data.historical.StockHistoricalDataClient for client_type="stocks". Otherwise, will be created using client_config.