i] |SSKJr SSKJrJrJr SSKJrJrJ r J r J r J r SS\S\S\ S\ S \S \S \S \S \4Sjjrg))Series)DictLikeIntIntFloat) v_percentv_boolv_driftv_offset v_pos_defaultv_seriesNcloselengthstrictasintpercentdriftoffsetkwargsreturnc <[US5n[X5nUcg[US5n[US5n[U5(a [ U5OSn[ U5n[ U5nU(a SSU--U-OUnU(a{XRU5:n [SUS-5H/n XRXS-- 5URX- 5:-n M1 U RSSS9 U R[5n OURU5S:n U(aU R[5n US:waU RU5n S U;aU RUS SS9 U(aS SU-3OS n U(aS OS S U(aSOS 3n U S UU 3U lSU lU $)amIncreasing This indicator, by Kevin Johnson, attempts to identify increasing periods. Sources: * Kevin Johnson Parameters: close (Series): ```close``` Series length (int): The period. Default: ```1``` strict (bool): Check if continuously increasing. Default: ```False``` percent (float): Percent, i.e. ```5.0```. Default: ```None``` asint (bool): Returns as ```Int```. Default: ```True``` drift (int): Difference amount. Default: ```1``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (Series): 1 column NFTg{Gz?r)inplacefillna_SINCptrend)r r rrfloatr r shiftrangerastypebooldiffintnamecategory) r rrrrrrrclose_ increasingx_percent_propss U/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/trend/increasing.pyr+r+s861 %F U #E } FE "F 5$ E )' 2 2eGnG ENE f F.5a$. E )%F \\%00 q&1*%A ;;qAI7&,,qy: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