i SSKJr SSKJrJrJrJrJr SSKJ r SSK J r J r SSK Jr SSKJrJrJrJr \"SS9S 5rSS \ S \S \ S\ S\ S\ 4 Sjjrg ))njit)arctanisnannanrad2deg zeros_like)Series)DictLikeInt)Imports)v_offset v_pos_defaultv_seriesv_talibT)cachec dSSURp2n[U5[U5pT[U5[U5pv[U5[U5p[U5[U5p[U5[U5p[U5[U5p[U5n[U5nUSSUSS&[SU5GHnSUUS- -S-nSUU-S UUS- --S UUS - --S UUS - --UU'UXU-X$US - --X$US- -- XUS- -- -UU'UXU-X%US - --X%US- -- XUS- -- -UU'UUS - U U'UXU-X*US - --X*US- -- XUS- -- -UU'UXU-X&US - --X&US- -- XUS- -- -U U'U UU U- U U'UUUU-UU'S U U-SU US- --U U'S UU-SUUS- --UU'U UU US- -UUUUS- --U U'U UUUS- -UUU US- -- U U'S U U-SU US- --U U'S U U-SU US- --U U'U US:wa,U US:wa#S[[ U UU U- 55- UU'UUSUUS- -:aSUUS- -UU'UUSUUS- -:aSUUS- -UU'UUS:aSUU'UUS:aSUU'S UU-SUUS- --UU'SUU-SUUS- --UU'[ UUS-5nSn[U5HnUUUU- - nM US:aUU-nUUU'US:dGMSUU-S UUS- --S UUS - --S UUS - --UU'GM U$)Ng -?g.!u? g333333?gHzG?g?g333333?g?g?g?rgv@g?gq= ףp?g@gI@gQ?g? )sizerrangerrint)xabmwma4dtq1q2jijqi1i2reimperiodsmpi_trendresultiadj_prev_period dc_perioddcp_avgks W/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/trend/ht_trendline.pynb_ht_trendliner5 sfaff!A!}jm" ]JqM ]JqM ]JqM ]JqMQ-ACmG ]FCR&F3BK1a[&Q-/$6!*sQq1uX~-aAh>qQxOQ1Aw;!a%[#@1APQE{?#RUV^_bc^cYdUd#de11!u9qa!e9}#>F1I !9sVAE]* *fQUm+F1I !9tfQUm+ +va!e},F1I !9s?F1I !9t F1I&)OcF1q5M&99q q !D3q1u:$55AA % y!A qQx G" q= y G r6gaj(3Q+??#PQTUPUBVVY\_fghklgl_mYmmF1Iad MNclosetalibprenanoffsetkwargsreturnc [US5n[X5nUcg[U5n[U5n[S(aU(aSSKJn U"U5nO=UR5n[U5n US:a [U SU&[XRS9n[[U55(agUS:waURU5n SU;aURUSSS 9 S UlS UlU$) a.Hilbert Transform TrendLine This indicator uses the Hilbert Transform to smooth values. Sources: * John F Ehlers's "Rocket Science for Traders" Book * [mql5](https://c.mql5.com/forextsd/forum/59/023inst.pdf) * TA-Lib [ta_HT_TRENDLINE](https://github.com/TA-Lib/ta-lib/blob/main/src/ta_func/ta_HT_TRENDLINE.c) Parameters: close (Series): ```close``` Series. talib (bool): If installed, use TA Lib. Default: ```True``` prenan (int): Prenans to apply. Ehlers's ```6``` or ```12```, TALib ```63``` Default: ```63``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (Series): 1 column Warning: TA-Lib Correlation: ```np.float64(0.9979308363057683)``` Tip: Corrective contributions welcome! ?Nr8r) HT_TRENDLINE)indexfillnaT)inplaceHT_TLtrend)rrrr r r8r?to_numpyr5rr r@allrshiftrAnamecategory) r7r8r9r:r;mode_talr?tlnp_closenp_tl trend_lines r4 ht_trendlinerOPsD62 &F U #E }u~H f FwH& % >>#) A: E'6N E - 59~~{XXf% 6 &"D 1BGBK Ir6)NNN)numbarnumpyrrrrrpandasr pandas_ta._typingr r pandas_ta.mapsr pandas_ta.utilsr rrrr5boolrOr6r4rXs99+"FFDAAJ"&&*D DD D #DD Dr6