i SSKJrJr SSKJrJrJr SSKJr SSK J r J r J r J r JrJr SS\S\S\S \S \S \S \S \S\S\4Sjjrg)) DataFrameSeries)DictLikeIntIntFloat)ma)non_zero_rangev_driftv_mamodev_offset v_pos_defaultv_seriesNhighlowcloselengthcdriftmamodeoffsetkwargsreturnc T[US5n[X5n[X5n[X#5nUbUbUcg[US5n[US5n[U5n[ U5n[ X5n XU-- n X-n USU - -n USU --n [ XkUS9n [ XbUS9n[ XlUS9nUS:wa3U RU5n URU5nURU5nSU;a9U RUSS S 9 URUSS S 9 URUSS S 9 S U3U l S U3Ul S U3Ul S=Ul =Ul U l U RXRXRU0n[UURS9nSU3Ul URUl U$)aAcceleration Bands This indicator, by Price Headley, creates lower and upper bands centered around a moving average based on a ratio of it's High-Low range. Sources: * [tradingtechnologies](https://www.tradingtechnologies.com/help/x-study/technical-indicator-definitions/acceleration-bands-abands/) Parameters: high (Series): ```high``` Series low (Series): ```low``` Series close (Series): ```close``` Series length (int): The period. Default: ```10``` c (int): Multiplier. Default: ```4``` mamode (str): See ```help(ta.ma)```. Default: ```"sma"``` drift (int): Difference amount. Default: ```1``` offset (int): Post shift. Default: ```0``` Other Parameters: fillna (value): ```pd.DataFrame.fillna(value)``` Returns: (DataFrame): 3 columns Nsma)rrfillnaT)inplaceACCBL_ACCBM_ACCBU_ volatility)index ACCBANDS_) r rr r r r rshiftrnamecategoryrr$)rrrrrrrrrhigh_low_rangehl_ratio_lower_upperlowermidupperdatadfs X/var/www/html/trading/venv/lib/python3.13/site-packages/pandas_ta/volatility/accbands.pyaccbandsr3s<62 &F D !D 3 C U #E |s{emaA fe $F ENE f F$D.N,H MH AL !F Q\ "F vf -E V6 *C vf -E{ F#ii F#6 VH%t 4 6(#T 2 VH%t 4&"EJx CH&"EJ5AACLA5>EN JJxxjj% @D 4u{{ +B&"BG,,BK I)NNNNN)pandasrrpandas_ta._typingrrr pandas_ta.marpandas_ta.utilsr r r r r rstrr3r4r2r;s$55=A9=M MM&,M69MM"M36M M#+M Mr4