TDI | R Documentation |
The Trend Detection Index (TDI) attempts to identify starting and ending trends. Developed by M. H. Pee.
TDI(price, n = 20, multiple = 2)
price |
Price series that is coercible to xts or matrix. |
n |
Number of periods to use. |
multiple |
Multiple used to calculate (2). |
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.
A object of the same class as price
or a matrix (if
try.xts
fails) containing the columns:
The Trend Detection Index.
The Direction Indicator.
Positive/negative TDI values signal a trend/consolidation. A positive/ negative direction indicator signals a up/down trend. I.e. buy if the TDI and the direction indicator are positive, and sell if the TDI is positive while the direction indicator is negative.
Joshua Ulrich
The following site(s) were used to code/document this
indicator:
https://www.linnsoft.com/techind/trend-detection-index-tdi
See aroon
, CCI
, ADX
,
VHF
, GMMA
for other indicators that measure trend
direction/strength.
data(ttrc)
tdi <- TDI(ttrc[,"Close"], n=30)
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