TTR (version 0.23-2)

TDI: Trend Detection Index

Description

The Trend Detection Index (TDI) attempts to identify starting and ending trends. Developed by M. H. Pee.

Usage

TDI(price, n = 20, multiple = 2)

Arguments

price

Price series that is coercible to xts or matrix.

n

Number of periods to use.

multiple

Multiple used to calculate (2).

Value

A object of the same class as price or a matrix (if try.xts fails) containing the columns:

tdi

The Trend Detection Index.

di

The Direction Indicator.

Details

The TDI is the (1) absolute value of the n-day sum of the n-day momentum, minus the quantity of (2) multiple*n-day sum of the absolute value of the n-day momentum, minus (3) n-day sum of the absolute value of the n-day momentum.

I.e. TDI = (1) - [ (2) - (3) ]

The direction indicator is the sum of the n-day momentum over the last n days.

See URL in references section for further details.

References

The following site(s) were used to code/document this indicator: https://www.linnsoft.com/techind/trend-detection-index-tdi

See Also

See aroon, CCI, ADX, VHF, GMMA for other indicators that measure trend direction/strength.

Examples

# NOT RUN {
data(ttrc)
tdi <- TDI(ttrc[,"Close"], n=30)

# }