HPotter

EMA & MA Crossover

The Moving Average Crossover trading strategy is possibly the most popular
trading strategy in the world of trading. First of them were written in the
middle of XX century, when commodities trading strategies became popular.
This strategy is a good example of so-called traditional strategies.
Traditional strategies are always long or short. That means they are never
out of the market. The concept of having a strategy that is always long or
short may be scary, particularly in today’s market where you don’t know what
is going to happen as far as risk on any one market. But a lot of traders
believe that the concept is still valid, especially for those of traders who
do their own research or their own discretionary trading.
This version uses crossover of moving average and its exponential moving average.

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////////////////////////////////////////////////////////////
//  Copyright by HPotter v1.0 20/06/2014
// The Moving Average Crossover trading strategy is possibly the most popular
// trading strategy in the world of trading. First of them were written in the
// middle of XX century, when commodities trading strategies became popular.
// This strategy is a good example of so-called traditional strategies. 
// Traditional strategies are always long or short. That means they are never 
// out of the market. The concept of having a strategy that is always long or 
// short may be scary, particularly in today’s market where you don’t know what 
// is going to happen as far as risk on any one market. But a lot of traders 
// believe that the concept is still valid, especially for those of traders who 
// do their own research or their own discretionary trading. 
// This version uses crossover of moving average and its exponential moving average. 
////////////////////////////////////////////////////////////
study(title="EMA & MA Crossover", shorttitle="EMA & MA Crossover", overlay = true)
LengthMA = input(10, minval=1)
LengthEMA = input(10,minval=1)
xMA = sma(close, LengthMA)
xEMA = ema(xMA, LengthEMA)
pos = iff(xEMA < xMA , 1,
	    iff(xEMA > xMA, -1, nz(pos[1], 0))) 
barcolor(pos == -1 ? red: pos == 1 ? green : blue)
plot(xMA, color=red, title="MA")
plot(xEMA, color=blue, title="EMA")