Changing Techniques to Relocating Average Inclines
In this pecking order, an increasing long-term average exerts greater support than a level or dropping typical when the rate is trading above the level while additionally producing enhanced support than a short-term climbing or dropping standard. Conversely, a falling long-lasting average exerts higher resistance than an increasing or flat average when the cost is trading below that degree while likewise creating greater resistance than a temporary climbing or falling average. Cost trading listed below standards with opposing inclines signals problem, with a falling long-term average sustaining brief side plays while a climbing slope advises of an impending base.
Price pulling back to test a rising average from above is more likely to hold support than when testing a falling average. Price bouncing into a falling average from below is more likely to roll over than when testing a rising average. Multiple moving averages at different cycle lengths complicate these scenarios because some may be rising while others are falling. (See also: How to Use a Moving Average to Buy Stocks.)
Long-term averages change slope less frequently than short-term averages. For example, a 20-day MA can oscillate between rising and falling slopes dozens of times over a three-month period, while a 50-day MA may shift two or three times. Meanwhile, a 200-day MA may not change at all or shift higher or lower just a single time. (For more, see: Strategies and Applications Behind the 50-Day EMA.)
This slope relativity comes into play in chart analysis in two ways. First, a long-term average always exerts greater support or resistance than a short-term average. For example, support or resistance at a 200-day MA is harder to break than support or resistance at a 50-day MA. Second, rising and falling slopes add to or subtract from support or resistance, depending on price's location relative to the averages.
In this hierarchy, a rising long-term average exerts greater support than a flat or falling average when the price is trading above the level while also generating increased support than a short-term rising or falling average. Conversely, a falling long-term average exerts greater resistance than a rising or flat average when the price is trading below that level while also generating greater resistance than a short-term rising or falling average.
Dow component The Coca-Cola Company (KO) bounces twice on top of the 200-day EMA during a 2017 uptrend and breaks support in early 2018, entering a major downtrend. Four bounces in the next three months reverse at the moving average, which rolls into a descending orientation. The 50-day EMA rolls over more quickly, generating five reversals during the same period. It crosses the 200-day EMA in March, printing a bearish death cross.
Adjusting Strategies to Slopes
Price above rising long- and short-term averages generates a bullish convergence that favors long-side strategies, with bigger positions and longer holding periods. This technical alignment is common in uptrends and bull markets. Price below rising long- and short-term averages generates a bullish divergence that favors dip buying opportunities and value plays. Price trading above averages with opposing slopes signals conflict, with a rising long-term average supporting long-side plays while a falling slope points to a higher-risk environment.
Price below falling long- and short-term averages generates a bearish convergence that adds power to short sale strategies, encouraging bigger positions and longer holding periods. This technical alignment is common in downtrends and bear markets. Price above falling long- and short-term averages generates a bearish divergence that favors profit taking and short selling. Price trading below averages with opposing slopes signals conflict, with a falling long-term average supporting short side plays while a rising slope warns of an impending bottom.
These scenarios cover just a small portion of the complex interrelationships between price, moving averages and slope. Conflicts should be welcomed because interweaving price structures create powerful engines for short- and long-term trading opportunities. However, watch out when moving averages ease into horizontal orientation and converge, and the price starts to oscillate across those narrow levels. This mixed action points to high noise levels that can signal long periods of weak opportunity:cost.
Moving averages ease into horizontal trajectories in sideways markets, lowering their value in trade and investment decision making. Dow component McDonalds Corporation (MCD) sells off at the start of 2018 and spends the next four months grinding sideways in a choppy pattern. It crisscrosses the 200-day EMA more than 30 times during this period, issuing multiple waves of false signals. The 50-day EMA goes horizontal as well while price crosses its boundaries more than a dozen times. (See also: Learn How Trade Management Works With 200-Day EMA.)
The Bottom Line
Get aggressive on the long side when the price is above rising long and short-term moving averages. Get aggressive on the short side when the price is below falling short and long-term moving averages. Get defensive when slopes don't match, or when the price is trading below rising averages or above falling averages. (For additional reading, check out: Moving Averages.)
Tip: For investors’ reference only, it does not constitute investment advice. Financial investment products have high risks and are not suitable for every investor. If necessary, please consult a professional consultant.