i; SSKJr SSKJrJrJrJrJr SSKJ r J r SSK J r J r SSKJrJrJrJrJrJrJr \"SS9S5rSS \ S \ S \ S \S\S\S\ S\ S\ 4Sjjrg ))njit)clipcumsumint64nanwhere) DataFrameSeries)DictLikeInt)nb_ffillnb_idiffv_boolv_intv_offset v_pos_defaultv_seriesT)cachec[X5nUS:US:p[U5n [U5n U [[U)U [55- n U [[U)U [55- n US:a[ U SU5n [ U SU5n U(a#[U S:HSU 5n [U S:HSU 5n X4$X:X:*-n [XS5n [XS5n X4$)Nr)rrr rrr)xncaplbubshow_allx_diffneg_diffpos_diffdn_csumup_csumdnup between_lus R/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/momentum/exhc.pynb_exhcr%s a^F!VaZhXGXG 8E8)Wc:; ;B 8E8)Wc:; ;B Qw "a  "a  27Ar " 27Ar " 6M h28, :1 % :1 % 6MNcloselengthrasintrnozerosoffsetkwargsreturnc J[US5n[XS-5nUcg[USS5n[US5n[US5n[US5n[ U5nUR 5n[ XUSS U5upU(a*U R[5n U R[5n U(aS OS U U(aS OS U 0n [XRS9n U(aSOSU l SU l U(aU RS[0SS9 US:waU RU5n U $)aExhaustion Count This indicator attempts to identify rising/falling exhaustion. Sources: * [demark](https://demark.com) * [practicaltechnicalanalysis](http://practicaltechnicalanalysis.blogspot.com/2013/01/tom-demark-sequential.html) Parameters: close (Series): Series of close's length (int): The period. Default: ```4``` cap (int): Count cap. For no cap, set to ```0```. Default: ```13``` show_all (bool): Counts 1 - 13. For 6 - 9, set to ```False```. Default: ```True``` asint (bool): Returns as ```Int```. Default: ```False``` nozeros (bool): Replace zeros with ```np.nan```. Default: ```False``` offset (int): Post shift. Default: ```0``` Returns: (DataFrame): 2 columns Note: Similar to TD Sequential N TF EXHC_DNaEXHC_DNEXHC_UPaEXHC_UP)indexEXHCaEXHCmomentumr)inplace)rrrrrto_numpyr%astyperr r9namecategoryreplacershift) r'r(rr)rr*r+r,np_closer!r"datadfs r$exhcrG,s<61 %F UQJ 'E } R Ch%H 5% EWe$G f F~~H XsAq( ;FB YYu  YYu  Ir Ir D 4{{ +B!gvBGBK As8T *{ XXf  Ir&)NNNNNN)numbarnumpyrrrrrpandasr r pandas_ta._typingr r pandas_ta.utilsr rrrrrrr%boolrGr&r$rOs11$+D437?CB BB,/B B"&B8<B B#+B Br&