i zSSKJrJr SSKJrJr SSKJrJrJ r J r SSK J r SS\S\S \S \S \ S \S \S\4Sjjr g)) DataFrameSeries)DictLikeInt)v_offset v_pos_defaultv_seriesv_talib)smmaNclosejawteethlipstaliboffsetkwargsreturnc Z[US5n[US5n[US5n[U[XU55nUcg[U5n[ U5n[ XUS9n[ XUS9n [ XUS9n US:wa3UR U5nU R U5n U R U5n SU;a9URUSSS 9 U RUSSS 9 U RUSSS 9 S US US U3n S U 3US U 3U S U 3U 0n [XRS9n SU 3U l SU l U $)aCBill Williams Alligator This indicator, by Bill Williams, attempts to identify trends. Sources: * [sierrachart](https://www.sierrachart.com/index.php?page=doc/StudiesReference.php&ID=175&Name=Bill_Williams_Alligator) * [tradingview](https://www.tradingview.com/scripts/alligator/) Parameters: close (Series): ```close``` Series jaw (int): Jaw period. Default: ```13``` teeth (int): Teeth period. Default: ```8``` lips (int): Lips period. Default: ```5``` talib (bool): If installed, use TA Lib. Default: ```True``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (DataFrame): 3 columns Tip: To avoid data leaks, offsets are to be done manually. Note: Williams believed the fx market trends between 15% and 30% of the time. Otherwise it is range bound. Inspired by fractal geometry, where the outputs are meant to resemble an alligator opening and closing its mouth. It It consists of 3 lines: Jaw, Teeth, and Lips which each have differing lengths. N)lengthrrfillnaT)inplace_AGjAGtAGl)indexAGoverlap) rr maxr rr shiftrrr namecategory)r rrrrrrmode_tal gator_jaw gator_teeth gator_lips_propsdatadfs V/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/overlap/alligator.py alligatorr/ sqJ R C % #E q !D UCD1 2E }u~H f FUh7Iu(;Ke9J{OOF+ !''/ %%f- 6)486(+T:&*D9QugQtf %F fX fX fX  D 4{{ +B6(mBGBK I)NNNNN)pandasrrpandas_ta._typingrrpandas_ta.utilsrrr r r boolr/r0r.r6sn$+FF DH&*M MM+.M=@M M #M6>MMr0