Q-j] xddlmZddlmZmZmZddlmZmZm Z m Z m Z m Z  ddedede de d ed ed ed ed efdZy))Series)DictLikeIntIntFloat) v_percentv_boolv_driftv_offset v_pos_defaultv_seriesNcloselengthstrictasintpercentdriftoffsetkwargsreturnc t|d}t||}|yt|d}t|d}t|r t |nd}t |}t |}|r dd|zz|zn|}|r||j|kD} td|dzD]1} | |j| |dzz |j| |z kDz} 3| jdd| jt} n|j|dkD} |r| jt} |dk7r| j|} d |vr| j|d d|rd d|znd } |rd nd d |rdnd } | d || | _d| _| S)aIncreasing This indicator, by Kevin Johnson, attempts to identify increasing periods. Sources: * Kevin Johnson Parameters: close (Series): ```close``` Series length (int): The period. Default: ```1``` strict (bool): Check if continuously increasing. Default: ```False``` percent (float): Percent, i.e. ```5.0```. Default: ```None``` asint (bool): Returns as ```Int```. Default: ```True``` drift (int): Difference amount. Default: ```1``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (Series): 1 column NFTg{Gz?r)inplacefillna_SINCptrend)r r rrfloatr r shiftrangerastypebooldiffintnamecategory) r rrrrrrrclose_ increasingx_percent_propss h/Users/jameslopez/projects/TradingBot25/.venv/lib/python3.12/site-packages/pandas_ta/trend/increasing.pyr+r+s861 %F UF #E } FE "F 5$ E )' 2eGnG ENE f F.5a$. E )%F V\\%00 q&1*%A 5;;qEAI7&,,q5y:QQ RJ& !T*&&t, [[(1,  &&s+ {%%f- 6&*D9(/4'>"#BH2&c#b)A BF&(4JO!J )NNNNNN)pandasrpandas_ta._typingrrrpandas_ta.utilsrrr r r r r%r+r0r/r5s557;?CF FF/3F F!)F9<F F#+F Fr0