i SSKJrJr SSKJrJr SSKJr SSKJ r SSK J r J r J r JrJrJrJr SS\S\S \S \S \S \S \S\S\S\4Sjjrg)) DataFrameSeries)DictLikeInt)ma)Imports)non_zero_rangetal_mav_mamodev_offset v_pos_defaultv_seriesv_talibNhighlowclosekdmamodetaliboffsetkwargsreturnc [US5n[US5nX4-S- n [X 5n[X5n[X)5nUbUbUcg[US5n[U5n [ U5n[ S(a+U (a$SSKJn U "XX#U[U55n U SU SpO}URU5R5nURU5R5nS X/- -[UU5- n U RU R5S24n[UUXJS 9nUS:wa"U R!U5n UR!U5nS U;a&U R#US S S 9 UR#US S S 9 SnSUSU3nUSU3U lUSU3UlS=U lUlU R$XR$U0n[)UUR*S9nUU3UlU R&UlU$)aFast Stochastic This indicator, by George Lane in the 1950's, attempts to identify and quantify momentum like STOCH, but is more volatile. Sources: * [corporatefinanceinstitute](https://corporatefinanceinstitute.com/resources/knowledge/trading-investing/fast-stochastic-indicator/) * [sierrachart](https://www.sierrachart.com/index.php?page=doc/StudiesReference.php&ID=333&Name=KD_-_Fast) Parameters: high (Series): ```high``` Series low (Series): ```low``` Series close (Series): ```close``` Series k (int): The Fast %K period. Default: ```14``` d (int): The Slow %D period. Default: ```3``` mamode (str): See ```help(ta.ma)```. Default: ```"sma"``` talib (bool): If installed, use TA Lib. Default: ```True``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (DataFrame): 2 columns Nsmarr)STOCHFd)lengthrfillnaT)inplacer_rrmomentum)index)r rr rr rrrr rollingminmaxr locfirst_valid_indexrshiftr"namecategoryrr&)rrrrrrrrr_lengthmode_talrstochf_stochf_kstochf_d lowest_low highest_high stochfk_fvi_name_propsdatadfs T/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/momentum/stochf.pystochfr<s@ aAaAeaiG D "D 3 C U $E |s{em fe $Fu~H f FwH Ea@$QZ([[^'') ||A**, %,-\:67ll8#=#=#?#@#AC fk!D{>>&)>>&)6x($7x($7 E1QC[FgQvh'HMgQvh'HM,66H) MM8]]H =D 4u{{ +Bx BG##BK I)NNNNN)pandasrrpandas_ta._typingrr pandas_ta.marpandas_ta.mapsrpandas_ta.utilsr r r r r rrstrboolr<r=r;rFs$+"!&* R RR&,R RR R $R  R#+ R  Rr=