The active trading community has embraced ETFs as these financial instrument offerunparalleledintradayliquidity, transparency, and cost-efficiency. Rapid growth in the exchange-traded universe has spawned hundreds of viable instruments that make it easy for traders to tap into virtually any corner of the global market through a single ticker. Those looking to take advantage of short-term trading opportunities canimplementtechnicalanalysison any one of nearly 1,500 ETPs to choose from .

With more and more active investors taking advantage of the exchange-traded product structure, technical analysis remains the drivingforcebehind most trading strategies. As such, below we have outlined three ETF trading strategies built around simple moving averages that may appeal to those looking to use technical analysis in theirinvestmentapproach.

  1. Golden Cross

The golden cross is regraded by many as perhaps the most popular simple moving average (SMA) trading strategy thanks to its simplicity. This strategy is built around the idea of a crossover; this is the instance when a shorter-period moving average crosses either above or below a longer-period moving average. By monitoring two different moving averages, traders can get a better understanding of how recent price action relates to the longer-term trend at hand. The shorter-term SMA helps trading identify near-term momentum, while the longer-term SMA serves as a reference point for what prevailing momentum has historically been. Consider the chart below.

The golden cross most commonly references the 50-day (blue line) and 200-day (yellow line) simple moving averages. When the 50-day crosses above the 200-day SMA, this is referred to as a bullish crossover; this can foreshadow a positive trend reversal since positive momentum is prevailing as the near-term price increases outpace the longer-term term average price. In the example above, traders are alerted with a buy signal at the golden cross, which allows them to participate in the uptrend that often follows.

  1. 10-30 Crossover

Traders who wish to take advantage of more opportunities in the market can tweak the golden cross strategy outlined above by simply using shorter time period moving averages. Using the 10-day (blue line) and 30-day (green line) SMA is a popular strategy among swing traders who look to take advantage of dips during bull markets and rallies during bear markets. In the bullish crossover example below, the 10-day crossing above the 30-day SMA gives traders confirmation that theongoinguptrend will likely continue as near-term momentum resumes.

Traders should also be on the look out for a bearish crossover; as you may have already guessed it, this is the instance when the shorter-term SMA crosses below the longer-term SMA, suggesting that near-term price decreases are dragging the price below the longer-term average price. Consider the chart below .

The 10-day crossing below the 30-day SMA gives traders confirmation that recentweaknessmay persist as adowntrenddevelops.

  1. 5-10-20 Crossover

Abiding by the same principles as the strategies highlighted above, the 5-10-20 crossover looks to minimize the number of false signals by adding another moving average into the mix. When the five-day, 10-day, and 20-day SMA are all moving in the same direction, the trend is deemed to be strong; trend reversals are confirmed when the moving averages crossover and head in the opposite direction .

In the example above, notice how the uptrend is strongest when the five-day (yellow line) is above the 10-day (blue line), which is above the 30-day (green line) SMA. Likewise, traders can have confirmation that the uptrend is reversing when the five-day crosses below the 10-day, and eventually both cross below the 30-day SMA. By looking at more moving averages, traders can have more conviction regarding reversals and trendstrength; however, this also results in a delayed signal since traders must wait for all indicators to be pointing in the same direction.

Follow me on Twitter@SBojinov

Disclosure: No positions at time of writing.

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