Source code for pandas_ta.trend.ttm_trend

# -*- coding: utf-8 -*-
from pandas import DataFrame
from pandas_ta.overlap import hl2
from pandas_ta.utils import get_offset, verify_series

[docs]def ttm_trend(high, low, close, length=None, offset=None, **kwargs): """Indicator: TTM Trend (TTM_TRND)""" # Validate arguments length = int(length) if length and length > 0 else 6 high = verify_series(high, length) low = verify_series(low, length) close = verify_series(close, length) offset = get_offset(offset) if high is None or low is None or close is None: return # Calculate Result trend_avg = hl2(high, low) for i in range(1, length): trend_avg = trend_avg + hl2(high.shift(i), low.shift(i)) trend_avg = trend_avg / length tm_trend = (close > trend_avg).astype(int) tm_trend.replace(0, -1, inplace=True) # Offset if offset != 0: tm_trend = tm_trend.shift(offset) # Handle fills if "fillna" in kwargs: tm_trend.fillna(kwargs["fillna"], inplace=True) if "fill_method" in kwargs: tm_trend.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it = f"TTM_TRND_{length}" tm_trend.category = "momentum" # Prepare DataFrame to return data = { tm_trend} df = DataFrame(data) = f"TTMTREND_{length}" df.category = tm_trend.category return df
ttm_trend.__doc__ = \ """TTM Trend (TTM_TRND) This indicator is from John Carters book “Mastering the Trade” and plots the bars green or red. It checks if the price is above or under the average price of the previous 5 bars. The indicator should hep you stay in a trade until the colors chance. Two bars of the opposite color is the signal to get in or out. Sources: Calculation: Default Inputs: length=6 averageprice = (((high[5]+low[5])/2)+((high[4]+low[4])/2)+((high[3]+low[3])/2)+((high[2]+low[2])/2)+((high[1]+low[1])/2)+((high[6]+low[6])/2)) / 6 if close > averageprice: drawcandle(open,high,low,close) coloured(0,255,0) if close < averageprice: drawcandle(open,high,low,close) coloured(255,0,0) Args: high (pd.Series): Series of 'high's low (pd.Series): Series of 'low's close (pd.Series): Series of 'close's length (int): It's period. Default: 6 offset (int): How many periods to offset the result. Default: 0 Kwargs: fillna (value, optional): pd.DataFrame.fillna(value) fill_method (value, optional): Type of fill method Returns: pd.DataFrame: ttm_trend. """