The 50-day moving average marks a line in the sand for traders holding positions through inevitable drawdowns. The strategy we employ when price nears this inflection point often decides whether we walk away with a well-earned profit or a frustrating loss. Considering the consequences, it makes sense to improve our understanding about this price level, as well as finding new ways to manage risk when it comes into play.
The most common formula takes the last 50 price bars and divides by the total. This yields the 50-day simple moving average (SMA) used by technicians for many decades. The calculation has been tweaked in many ways over the years as market players try to build a better mousetrap. The 50-day exponential moving average (EMA) offers the most popular variation, responding to price movement more quickly than its simple minded cousin. This extra speed in signal production defines a clear advantage over the slower version, making it a superior choice.
The 50-day EMA gives technicians a seat at the 50-yard line, the perfect location to watch the entire playing field for mid-term opportunities and natural counterswings after active trends, higher or lower. It’s also neutral ground when price action is often misinterpreted by the majority. And as our contrary market proves over and over again, the most reliable signals tend to erupt when the majority is sitting on the wrong side of the action.
There are dozens of ways to use the 50-day EMA in market strategies. It works as a reality check when a position hits the magic line after a rally or selloff. It has equal benefit in lower and higher time frames, applying the indicator to intraday charts or tracking long term trends with the 50-week or 50-month version. Or play a game of pinball, trading oscillations between the 50-day EMA and longer term 200-day EMA. It even works in the arcane world of market voodoo, with 50/200 day crossovers signaling bullish golden crosses or bearish death crosses.
Pullbacks
The 50-day EMA most often comes into play when you’re positioned in a trend that turns against you in a natural counterswing, or in reaction to an impulse that’s dragging thousands of financial instruments along for the ride. It makes sense to place a stop just across the moving average because it represents intermediate support (resistance in a downtrend) that should hold under normal tape conditions. The problem with this reasoning is it doesn’t work as intended in our volatile modern markets.
The 50 and 200-day EMAs have morphed from narrow lines into broad zones in the last two decades due to aggressive stop hunting. You need to consider how deep these violations will go before placing a stop or timing an entry at or near the moving average. Patience is key in these circumstances because testing at the 50-day EMA usually resolves within three to four price bars. The trick is to stay out of the way until a) the reversal kicks in or b) the level breaks, yielding a price thrust against your position.
The risk of getting it wrong will hurt your wallet, so how long should you stick around when price tests the 50-day EMA? While there’s no perfect way to avoid whipsaws, examining other technicals often pinpoints the exact extension of a reversal. For example, Intel (INTC) returned to the January high in April and sold off to the 50-day EMA. It broke support, dropped to the .386 Fibonacci rally retracement and bounced back to the moving average in the next session. The stock regained support on the third day and entered a recovery, completing a cup and handle breakout pattern.
50-Day Fractals
The moving average works just as well in lower and higher time frames. As a result, day traders will find benefit in placing 50-bar EMAs on 15 and 60 minute charts because they define natural end points for intraday oscillations. Just keep in mind that noise increases as time frame decreases, lowering its value on 5 and 1 minute charts. On the flip side, the indicator shows excellent reliability on weekly and monthly charts, often pinpointing exact turning points in corrections and long term trends.
This makes sense when considering that the 50-week EMA defines mean reversion over an entire year while the 50-month EMA tracks more than four years of market activity, approaching the average length of a typical business cycle. Market timers can use these long-term moving averages to establish profitable positions lasting for months or years while violations offer perfect levels to take profits and reallocate capital into other long term instruments.
Apple (AAPL) set up excellent buying opportunities at the 50-month EMA in 2009 and 2013. It broke moving average support in September 2008 and spent 5 months grinding sideways before remounting that level in April 2009, issuing a “failure of a failure” buy signal that yielded more than 80 points over three years. It tested the moving average a second time in 2013, spending four months building a double bottom that triggered a 100 percent rally into 2014. Note how the lows matched support perfectly, offering an incredible low risk entry for patient market players.
50-200 Day Pinball
Fast trends in both directions tend to increase the separation between the 50 and 200-day EMAs. Once a countertrend breaks one of these averages, it often carries into the other average, setting up a few rounds of the 50-200 “pinball” strategy. Swing traders are natural beneficiaries of this two-sided technique, going long and then short until one side of the box gives way to a more active trend impulse.
Biogen (BIIB) hit a new high in March after a long uptrend and entered a steep correction that broke the 50-day EMA a few days later. Price action then entered a two month game of 50-200 pinball, traversing more than 75 points between new resistance at the 50-day EMA and long term support at the 200-day EMA. Swing reversals took place close to target numbers, allowing easy entry and relatively tight stops for a triple digit stock.
Bullish and Bearish Crossovers
The downward crossover of the 50-day EMA through the 200-day EMA signals a death cross that many technicians believe marks the end of an uptrend. An upward crossover or golden cross is alleged to possess similar magic properties in establishing a new uptrend. In reality, numerous crisscrosses can print in the life cycle of an uptrend or downtrend and these classic signals show little reliability.
It’s a different story with the 50 and 200-week EMAs. SPDR S&P Trust (SPY) shows four valid cross signals going back 15 years, two in each direction. More importantly, there were no false signals during this time, which included three bull markets and two bear markets. Looking at historic Dow Industrial data, the last invalid cross occurred more than 30 years ago, in 1982. This tells us that golden and death crosses deserve a respected place in market analysis.
The Bottom Line
The 50-day EMA identifies a natural mean reversion level for the intermediate time frame. It has numerous applications in price prediction, position choice and strategy building. Traders, market timers and investors all benefit from 50-day EMA study, making it an indispensable ingredient in your technical market analysis.
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The McGinley Dynamic indicator is a type of moving average that was designed to track the market better than existing moving average indicators. It is a technical indicator that improves upon moving average lines by adjusting for shifts in market speed. John R. McGinley, a market technician, is the inventor of the eponymous indicator.
Key Takeaways
The McGinley Dynamic indicator is a type of moving average that was designed to track the market better than existing moving average indicators.
This indicator solves the issue of varying market speeds by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets.
The McGinley Dynamic indicator improves upon conventional moving averages by minimizing price separations and volatile whipsaws so that price action is more accurately reflected.
Understanding McGinley Dynamic Indicator
The McGinley Dynamic indicator attempts to solve a problem inherent in moving averages that use fixed time lengths. The basic problem is that the market, being the great discounting mechanism that it is, reacts to events at a speed that a moving average will not be able to cope with.
This issue is called the lag, and there is no type of moving average, whether it be simple (SMA), exponential (EMA), or weighted (LWMA), that is not affected by this. Understandably, this will call into question the reliability of that moving average. The McGinley Dynamic indicator takes into account speed changes in a market (hence, “dynamic”) to show a smoother, more responsive, moving average line.
The speed of the market is not consistent; it frequently speeds up and slows down. Traditional moving averages, such as a simple moving average or an exponential moving average, fail to account for this market characteristic. The McGinley Dynamic indicator solves this problem by incorporating an automatic smoothing factor into its formula to adjust to market moves. This speeds, or slows, the indicator in trending, or ranging, markets.
This is not to say that the aforementioned issue of lag has been eradicated, only that the reaction to market movement is faster. The key point to note is that, due to its smoothing constant, it will be more market reactive than other moving averages. The user can customize this indicator through the selection of the number of periods (N).
McGinley Dynamic Indicator (MD)=MD[1]+N∗(MD[1]Price)4Price−MD[1]where:MD[1]=MD value of the preceding periodPrice=Security’s current priceN=number of periods
The indicator improves upon conventional moving averages by minimizing price separations and volatile whipsaws so that price action is more accurately reflected. The formula allows for an acceleration, or deceleration, in the McGinley Dynamic indicator based solely on the security’s price movement.
Even though traders may use the line to make buy or sell decisions, McGinley’s original intent for his indicator was to reduce the lag between the indicator and the market—the logic being that a faster tracking moving average would be more credible in generating trading signals.
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