Q-jddlmZddlmZmZddlmZmZddlm Z gdZ eGddZ e dd d Z e d d ddddddddddddddddddgZ y )) cpu_count) dataclassfield)IntList)get_time)StudyAllStudy CommonStudyceZdZUdZeed<eeZe ed<e Z e ed<dZ eed<ed Zeed <d Zd Zd ZdZy)r aStudy DataClass Class to name and group indicators for processing. Parameters: name (str): Name. ta (list of dicts): i.e [{"kind": "ema", "length", 50}] cores (int): The number cores to use for multiprocessing. Default: ```cpu_count()``` description (str): Description of what the Study. Default: ```""``` created (str): DateTime String at creation. Default: Automatically generated. Returns: (DataClass): The Study to be processed by ```df.ta.study()``` Example: All or Common Study Run ```py # Run "All" df.ta.study(ta.AllStudy, **kwargs) # Run "Common" df.ta.study(ta.CommonStudy, **kwargs) ``` Example: Custom Study Create ```py DemoStudy = ta.Study( name="Demo Study", description="Example Study Group", cores=0, # Usually faster than multiprocessing ta = [ {"kind": "sma", "length": 200}, {"kind": "sma", "close": "volume", "length": 50}, {"kind": "bbands", "length": 20}, {"kind": "rsi"}, {"kind": "macd", "fast": 8, "slow": 21}, {"kind": "sma", "close": "volume", "length": 20, "prefix": "VOLUME"} ] ``` Run ```py df.ta.study(DemoStudy, **kwargs) ``` Note: * See [also](../getting-started/usage.md) the Pandas TA "Study" Examples * Case-insensitive "All" is reserved. Warning: Multiprocessing **Not recommended** for: * Small sets of indicators * Indicator chains name)default_factorytacores descriptionT) to_stringcreatedct|jtr@|jdk\r1|jtkrt|j|_dg}|j r|j d|j d|_n(|jsd}|dz }|j |t|dkDr|Dcgc] }t|c}yycc}w)Nrz-[X] Study requires the following argument(s):zE - name. Must be a string. Example: "My TA". Note: "all" is reserved.zJ - ta. Format is a list of dicts. Example: [{'kind': 'sma', 'length': 10}]zP Check the indicator for the correct arguments if you receive this error.) isinstancerintr_is_nameappendr_is_talenprint)selfreq_argss_s d/Users/jameslopez/projects/TradingBot25/.venv/lib/python3.12/site-packages/pandas_ta/utils/_study.py __post_init__zStudy.__post_init__Ts djj# &4::?tzzY[?XTZZDJCD ==? OOW Y 77?DG\A d dA OOA  x=1 ' (x!U1Xx (  (s C$cX|jduxst|jt S)N)r rstrrs r"rzStudy._is_namejs$yyD B 499c(B$BBc t|jtrb|jdkDrOt |jDcgc]0}t|t xrt |jdkD2c}Sycc}w)NrF)rrlisttotal_taalldictrkeys)rr!s r"rz Study._is_tansd dggt $1)<477S7a 1d+AAFFH 0AA7ST TTs5A>cH|jt|jSdS)Nr)rrr&s r"r*zStudy.total_taxs#ww2s477|99r'N)__name__ __module__ __qualname____doc__r%__annotations__rr)rrrrrrrrr#rrr*r'r"r r sX9t IT*B*+E3Kd+GS+,C:r'r AllzBAll the indicators with their default settings. Pandas TA default.N)r rrzCommon Price and Volume SMAsz6Common Price SMAs: 10, 20, 50, 200 and Volume SMA: 20.sma )kindlength2volumeVOL)r8closer9prefix)r rrr)multiprocessingr dataclassesrrpandas_ta._typingrrpandas_ta.utils._timer__all__r r r r4r'r"rFs%('*  g:g: g:X  T   'H "%"%"%#&R5I   r'