code: def aobv(
      close,
      volume,
      fast=None,
      slow=None,
      max_lookback=None,
      min_lookback=None,
      mamode=None,
      offset=None,
      **kwargs,
  ):
      """Indicator: Archer On Balance Volume (AOBV)"""
      # Validate arguments
      fast = int(fast) if fast and fast > 0 else 4
      slow = int(slow) if slow and slow > 0 else 12
      max_lookback = (
          int(max_lookback) if max_lookback and max_lookback > 0 else 2
      )
      min_lookback = (
          int(min_lookback) if min_lookback and min_lookback > 0 else 2
      )
      if slow < fast:
          fast, slow = slow, fast
      mamode = mamode if isinstance(mamode, str) else "ema"
      _length = max(fast, slow, max_lookback, min_lookback)
      close = verify_series(close, _length)
      volume = verify_series(volume, _length)
      offset = get_offset(offset)
      if "length" in kwargs:
          kwargs.pop("length")
      run_length = kwargs.pop("run_length", 2)
  
      if close is None or volume is None:
          return
  
      # Calculate Result
      obv_ = obv(close=close, volume=volume, **kwargs)
      maf = ma(mamode, obv_, length=fast, **kwargs)
      mas = ma(mamode, obv_, length=slow, **kwargs)
  
      # When MAs are long and short
      obv_long = long_run(maf, mas, length=run_length)
      obv_short = short_run(maf, mas, length=run_length)
  
      # Offset
      if offset != 0:
          obv_ = obv_.shift(offset)
          maf = maf.shift(offset)
          mas = mas.shift(offset)
          obv_long = obv_long.shift(offset)
          obv_short = obv_short.shift(offset)
  
      # # Handle fills
      if "fillna" in kwargs:
          obv_.fillna(kwargs["fillna"], inplace=True)
          maf.fillna(kwargs["fillna"], inplace=True)
          mas.fillna(kwargs["fillna"], inplace=True)
          obv_long.fillna(kwargs["fillna"], inplace=True)
          obv_short.fillna(kwargs["fillna"], inplace=True)
      if "fill_method" in kwargs:
          obv_.fillna(method=kwargs["fill_method"], inplace=True)
          maf.fillna(method=kwargs["fill_method"], inplace=True)
          mas.fillna(method=kwargs["fill_method"], inplace=True)
          obv_long.fillna(method=kwargs["fill_method"], inplace=True)
          obv_short.fillna(method=kwargs["fill_method"], inplace=True)
  
      # Prepare DataFrame to return
      _mode = mamode.lower()[0] if len(mamode) else ""
      data = {
          obv_.name: obv_,
          f"OBV_min_{min_lookback}": obv_.rolling(min_lookback).min(),
          f"OBV_max_{max_lookback}": obv_.rolling(max_lookback).max(),
          f"OBV{_mode}_{fast}": maf,
          f"OBV{_mode}_{slow}": mas,
          f"AOBV_LR_{run_length}": obv_long,
          f"AOBV_SR_{run_length}": obv_short,
      }
      aobvdf = DataFrame(data)
  
      # Name and Categorize it
      aobvdf.name = f"AOBV{_mode}_{fast}_{slow}_{min_lookback}_{max_lookback}_{run_length}"
      aobvdf.category = "volume"
  
      return aobvdf
  
imports: from pandas import DataFrame
  from .obv import obv
  from pandas_ta.overlap import ma
  from pandas_ta.trend import long_run, short_run
  from pandas_ta.utils import get_offset, verify_series
label_desc: Use image node_id 1 for calling a global function with example usage: aobv(close, volume, fast, slow, max_lookback, min_lookback, mamode, offset) and returns: aobvdf