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How To Use The Stochastic Oscillator
I hope you are fine.In the previous article I talked about three ways for taking trades after a reversal.In this article I will make some comments for my today trades and I will explain how I use the stochastic oscillator for an extra confirmation in my trades. Here are my trades in 10/4.
I had 7/9 ITM and one Tie, 78% performance.
MACD and Stochastic: A DoubleCross Strategy
Ask any technical trader and they will tell you the right indicator is needed to effectively determine a change of course in a stock’s price patterns. However, anything one “right” indicator can do to help a trader, two compatible indicators can do better.
This article aims to encourage traders to look for and identify a simultaneous bullish MACD crossover along with a bullish stochastic crossover and use these indicators as the entry point to trade.
Key Takeaways
 A technical trader or researcher looking for more information can benefit more from pairing the stochastic oscillator and MACD, two complementary indicators, than by just looking at one.
 Separately, the two indicators function on different technical premises and work alone; compared to the stochastic, which ignores market jolts, the MACD is a more reliable option as a sole trading indicator.
 However, the stochastic and MACD are an ideal pairing and can provide for an enhanced and more effective trading experience.
Pairing the Stochastic and MACD
Looking for two popular indicators that work well together resulted in this pairing of the stochastic oscillator and the moving average convergence divergence (MACD). This team works because the stochastic is comparing a stock’s closing price to its price range over a certain period of time, while the MACD is the formation of two moving averages diverging from and converging with each other. This dynamic combination is highly effective if used to its fullest potential.
Working the Stochastic
The history of the stochastic oscillator is filled with inconsistencies. Most financial resources identify George C. Lane, a technical analyst who studied stochastics after joining Investment Educators in 1954, as the creator of the stochastic oscillator. Lane, however, made conflicting statements about the invention of the stochastic oscillator. It’s possible the thenhead of Investment Educators, Ralph Dystant, or even an unknown relative from someone within the organization, created it.
A group of analysts most likely invented the oscillator between Lane’s arrival at Investment Educators in 1954 and 1957, when Lane claimed the copyright for it.
There are two components to the stochastic oscillator: the %K and the %D. The %K is the main line indicating the number of time periods, and the %D is the moving average of the %K.
Understanding how the stochastic is formed is one thing, but knowing how it will react in different situations is more important. For instance:

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 Common triggers occur when the %K line drops below 20—the stock is considered oversold, and it is a buying signal.
 If the %K peaks just below 100 and heads downward, the stock should be sold before that value drops below 80.
 Generally, if the %K value rises above the %D, then a buy signal is indicated by this crossover, provided the values are under 80. If they are above this value, the security is considered overbought.
MACD And Stochastic: A DoubleCross Strategy
Working the MACD
As a versatile trading tool that can reveal price momentum, the MACD is also useful in the identification of price trends and direction. The MACD indicator has enough strength to stand alone, but its predictive function is not absolute. Used with another indicator, the MACD can really ramp up the trader’s advantage.
If a trader needs to determine trend strength and direction of a stock, overlaying its moving average lines onto the MACD histogram is very useful. The MACD can also be viewed as a histogram alone.
MACD Calculation
To bring in this oscillating indicator that fluctuates above and below zero, a simple MACD calculation is required. By subtracting the 26day exponential moving average (EMA) of a security’s price from a 12day moving average of its price, an oscillating indicator value comes into play. Once a trigger line (the nineday EMA) is added, the comparison of the two creates a trading picture. If the MACD value is higher than the nineday EMA, it is considered a bullish moving average crossover.
It’s helpful to note there are a few wellknown ways to use the MACD:
 Foremost is the watching for divergences or a crossover of the center line of the histogram; the MACD illustrates buy opportunities above zero and sell opportunities below.
 Another is noting the moving average line crossovers and their relationship to the center line.
Integrating Bullish Crossovers
To be able to establish how to integrate a bullish MACD crossover and a bullish stochastic crossover into a trendconfirmation strategy, the word “bullish” needs to be explained. In the simplest of terms, bullish refers to a strong signal for continuously rising prices. A bullish signal is what happens when a fastermoving average crosses up over a slower moving average, creating market momentum and suggesting further price increases.
 In the case of a bullish MACD, this will occur when the histogram value is above the equilibrium line, and also when the MACD line is of greater value than the nineday EMA, also called the “MACD signal line.”
 The stochastic’s bullish divergence occurs when %K value passes the %D, confirming a likely price turnaround.
Crossovers in Action: Genesee & Wyoming Inc.
Below is an example of how and when to use a stochastic and MACD doublecross.
Note the green lines showing when these two indicators moved in sync and the nearperfect cross shown at the righthand side of the chart.
You may notice a couple of instances when the MACD and the stochastics are close to crossing simultaneously: January 2008, midMarch and midApril, for example. It even looks like they did cross at the same time on a chart of this size, but when you take a closer look, you’ll find they did not actually cross within two days of each other, which was the criterion for setting up this scan. You may want to change the criteria so you include crosses that occur within a wider time frame so you can capture moves like the ones shown below.
Changing the settings parameters can help produce a prolonged trendline, which helps a trader avoid a whipsaw. This is accomplished by using higher values in the interval/timeperiod settings. This is commonly referred to as “smoothing things out.” Active traders, of course, use much shorter timeframes in their indicator settings and would reference a fiveday chart instead of one with months or years of price history.
The Strategy
First, look for the bullish crossovers to occur within two days of each other. When applying the stochastic and MACD doublecross strategy, ideally, the crossover occurs below the 50line on the stochastic to catch a longer price move. And preferably, you want the histogram value to already be or move higher than zero within two days of placing your trade.
Also note the MACD must cross slightly after the stochastic, as the alternative could create a false indication of the price trend or place you in a sideways trend.
Finally, it is safer to trade stocks trading above their 200day moving averages, but it is not an absolute necessity.
Special Considerations
The advantage of this strategy is it gives traders an opportunity to hold out for a better entry point on uptrending stock or to be surer any downtrend is truly reversing itself when bottomfishing for longterm holds. This strategy can be turned into a scan where charting software permits.
With every advantage of any strategy presents, there is always a disadvantage. Because the stock generally takes a longer time to line up in the best buying position, the actual trading of the stock occurs less frequently, so you may need a larger basket of stocks to watch.
The stochastic and MACD doublecross allows the trader to change the intervals, finding optimal and consistent entry points. This way it can be adjusted for the needs of both active traders and investors. Experiment with both indicator intervals and you will see how the crossovers will line up differently, then choose the number of days that work best for your trading style. You may also want to add a relative strength index (RSI) indicator into the mix, just for fun.
Stochastics: An Accurate Buy and Sell Indicator
In the late 1950s, George Lane developed stochastics, an indicator that measures the relationship between an issue’s closing price and its price range over a predetermined period of time. To this day, stochastics is a favored technical indicator because it is easy to understand and has a high degree of accuracy in indicating whether it’s time to buy or sell a security.
key takeaways
 Stochastics is a favored technical indicator because it is easy to understand and has a high degree of accuracy.
 Stochastics is used to show when a stock has moved into an overbought or oversold position.
 it can be very beneficial to use stochastics and an oscillator like the relative strength index (RSI) together.
Price Action
The premise of stochastics is that when a stock trends upwards, its closing price tends to trade at the high end of the day’s range or price action. Price action refers to the range of prices at which a stock trades throughout the daily session. For example, if a stock opened at $10, traded as low as $9.75 and as high as $10.75, then closed at $10.50 for the day, the price action or range would be between $9.75 (the low of the day) and $10.75 (the high of the day). Conversely, if the price has a downward movement, the closing price tends to trade at or near the low range of the day’s trading session.
Stochastics is used to show when a stock has moved into an overbought or oversold position. Fourteen is the mathematical number most often used in the time mode. Depending on the technician’s goal, it can represent days, weeks, or months. The chartist may want to examine an entire sector. For a longterm view of a sector, the chartist would start by looking at 14 months of the entire industry’s trading range.
Relative Strength Index
Jack D. Schwager, the cofounder of Fund Seeder and author of several books on technical analysis, uses the term “normalized” to describe stochastic oscillators that have predetermined boundaries, both on the high and low sides. An example of such an oscillator is the relative strength index (RSI)—a popular momentum indicator used in technical analysis—which has a range of 0 to 100. It is usually set at either the 20 to 80 range or the 30 to 70 range. Whether you’re looking at a sector or an individual issue, it can be very beneficial to use stochastics and the RSI in conjunction with each other.

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