TrendDetectionChannel: Current Trend Detection using Donchian Channel
In candlesticks: Candlestick Pattern Recognition

Description Usage Arguments Details Value Author(s) See Also Examples

Uses the Donchian Channel of n periods to determine whether a price series is in uptrend, sideward trend or downtrend

1	TrendDetectionChannel(TS, n=20, DCSector=1/3)

`TS`	xts Time Series containing OHLC prices
`n`	number of periods to calculate the high and low band of the Donchian Channel
`DCSector`	sector of Donchian Channel to determine uptrend / downtrend

This function assumes that a price series is in uptrend when a period's price closes above the upper third of the Donchian Channel of n periods. If the price close below the lower third of the channel, a downtrend is detected. If the price closes within the middle third of the channel, a sideward trend is detected. The parameter DCSector can be used to widen/narrow the threshold of up/downtrend detection. E.g. a value of .25 anticipates the price for a uptrend to be above the highest quarter of the donchian channel

A xts object containing the columns:

`UpTrend`	TRUE if uptrend detected
`NoTrend`	TRUE if sideward trend detected
`DownTrend`	TRUE if downtrend detected
`Trend`	+1 for uptrend, 0 for sideward trend, -1 for downtrend

Andreas Voellenklee

TrendDetectionSMA

## Not run: 
  getSymbols("YHOO", adjust=TRUE)
  
  # create chart of YAHOO
  chartSeries(YHOO, subset="last 1 year", TA=NULL)
  
  # visualize the result of trend detection in a indicator box
  addTA(TrendDetectionChannel(YHOO)[,4])
  
  # filter YHOO for Hammer Candlestick Patterns that occur in downtrends
  Hammer <- CSPHammer(TS) & TrendDetectionChannel(TS)[,"DownTrend"]
  
  # how frequent are these hammers?
  colSums(Hammer, na.rm=TRUE)

## End(Not run)