Hilbert Transform - Trend vs Cycle Mode

HT_TRENDMODE identifies whether the market is in a trending or cyclical mode.

Method

tm.ta.ht_trendmode(source)

Inputs

Parameter	Argument type	Description	Default Value
source	pd.Series	Input data series	-

Outputs

Output	Type
ht_trendmode	np.ndarray

Example usage

strategy.py

import tradomate as tm

@tm.strategy()
def my_strategy(config: tm.TradomateConfig, data: tm.TradomateData):

    # Trying out Hilbert Transform - Trend vs Cycle Mode
    ht_trendmode = tm.ta.ht_trendmode(data.close)

    # Get the last value and print
    last_value = ht_trendmode.iloc[-1]
    tm.log(f"Last value of Hilbert Transform - Trend vs Cycle Mode is {last_value}")

    # Plot the values of ht_trendmode
    tm.plot(ht_trendmode, title="Hilbert Transform - Trend vs Cycle Mode", overlay=False)