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Various binary indicators for fts objects
above.ma(x,n)
below.ma(x,n)
wday(x)
mday(x)
# S3 method for fts
diff(x,k,…)
up(x)
down(x)
ema(x,periods)
gap.continue(x)
gap.direction(x)
gap.down(x)
gap.down.continue(x)
gap.down.reverse(x)
gap.reverse(x)
gap.up(x)
gap.up.continue(x)
gap.up.reverse(x)
higher.high(x)
higher.low(x)
hl.oc.ratio(x)
inside.day(x)
inside.day.direction(x)
inside.day.down(x)
inside.day.up(x)
lower.high(x)
lower.low(x)
ma.crossover(x,n)
ma.crossover.down(x,n)
ma.crossover.up(x,n)
ma.d(x,n)
ma.distance(x,periods)
month(x)
year(x)
monthly.sum(x)
new.high(x,n)
new.low(x,n)
outside.day(x)
outside.day.direction(x)
outside.day.down(x)
outside.day.up(x)
pct.chg(x)
repeated(x,times)
rsi(x,periods)
rsi.crossover(x,periods,thresh)
rsi.crossover.down(x,periods,thresh)
rsi.crossover.up(x,periods,thresh)
template.fts(index, cnames)
trend.day(x,thresh)
trend.day.down(x,thresh)
trend.day.up(x,thresh)
An Fts object
number of periods
number of periods
number of lags
how many times
threshold level
index to use to construct fts object
colnames to use to construct fts object
further arguments to function
an fts object
removed elements are replaced with NA
# NOT RUN {
x <- fts(index=seq(from=Sys.Date(),by="months",length.out=5),rnorm(5))
print(x)
lag(x,1)
lead(x,1)
# }
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