Q-j ddlmZmZddlmZmZmZddlmZddl m Z m Z m Z m Z mZmZ ddededed ed ed ed ed ededefdZy)) DataFrameSeries)DictLikeIntIntFloat)ma)non_zero_rangev_driftv_mamodev_offset v_pos_defaultv_seriesNhighlowcloselengthcdriftmamodeoffsetkwargsreturnc t|d}t||}t||}t||}|||yt|d}t|d}t|}t |}t ||} | ||zz } | |z} |d| z z} |d| zz} t || |} t |||}t || |}|dk7r3| j|} |j|}|j|}d|vrB| j|dd |j|dd |j|dd d || _ d ||_ d ||_ dx|_ x|_ | _ | j| |j||j|i}t||j}d||_ |j|_ |S)a^Acceleration 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 k/Users/jameslopez/projects/TradingBot25/.venv/lib/python3.12/site-packages/pandas_ta/volatility/accbands.pyaccbandsr3s<62 &F D& !D 3 C UF #E |s{emaA fe $F ENE f F$D#.N,H MH AL !F Q\ "F vvf -E VU6 *C vvf -E{ F#ii F#6 VH%t 4 6(#T 2 VH%t 4&"EJx CH&"EJ5AACLA5>EN JJsxxejj% @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