i>SSKJrJrJrJrJrJrJrJrJ r SSK J r SSK J r Jr SSKJrJrJrJr SS\ S\S\S \S \S \ S \ 4S jjrg)) cosexpmeannanpirollsinsqrtzeros)Series)DictLikeInt)v_boolv_offset v_pos_defaultv_seriesNcloselengthbarsinitial_versionoffsetkwargsreturnc [US5n[X5nUcg[US5n[US5n[U5nURn[ U[ 5(GaU(GaS=pxS=n =n =n =pS=n=nnS=nnSS/n[SUS- 5Vs/sH n[PM snS/-n[X5GH5nS[SU- 5- [SU- 5- nSSU--URUU- -UU--n[[S 5*[-U- 5n S U -[[S 5S -U- 5-n U n S U -U -n SU - U - n SU -UU--U US--U US--nUUS-US-S - nX-USUS--USUS--S - nU[U5- nURU5 UR!S5 UnURUnURU5 GM8 GO%S=nn[#S 5n[/US- -S/-nS [-U- nS[U5- [U5- nS [-U- n[U*5n S U -[U5-n U S -*n SU - U - n [X5HnSSU--URUU- -UU--n[%US 5nSU -UU--U US--U US--US '['U5n[['US -55nUU- nUnURUnURU5 M [)UUR*S9nUS:waUR-U5nSU;aUR/USSS9 SUSU3UlSUlU$s snf)a!Even Better SineWave This indicator attempts to quantify market cycles using a low pass filter. Sources: * [rengel8](https://github.com/rengel8) * J.F.Ehlers 'Cycle Analytics for Traders', 2014 * [Pandas TA Issue #350](https://github.com/twopirllc/pandas-ta/issues/350) * [Proreal Code](https://www.prorealcode.com/prorealtime-indicators/even-better-sinewave/) Parameters: close (Series): ```close``` Series length (int): Max cycle/trend period. Values between ```40-48``` work as expected with minimum value: ```39```. Default: ```40``` bars (int): Period of low pass filtering. Default: ```10``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): Replaces ```na```'s with ```value```. Returns: (Series): 1 column Note: The _default_ is more cycle oriented and seems to be less whipsaw-prune. The older version might offer earlier signals at medium and stronger reversals. Compared to TradingView, returns very close results but appears to be one bar earlier. (NF rihg?g;f?)indexfillnaT)inplaceEBSW__cycle)rrrrsize isinstanceboolrangerr rilocrr rappendpopr rrr r"shiftr#namecategory)rrrrrrmalpha1hpa1b1c1c2c3filter_power_wave lastCloselastHPfiltHistr&resultiangleangrmsebsws O/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/cycle/ebsw.pyrErE sF62 &F U #E }_e4O r "D f F  A/4((_!"""R"""r"###&4 Fq6$Q 343!#34s:v!A#cFl++s3DtHM*+C#:DF 1 I MM$ !"$ & ,D{zz&!6 F8$d 3xq'DIDM K[5sM1)NNNN)numpyrrrrrrr r r pandasr pandas_ta._typingr rpandas_ta.utilsrrrrr*rErFrMspAAA+EE 48 E EE-0EE E#+E ErL