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How can a Dual Stochastic Forex Strategy Improve your Results?

Stochastic oscillators can be a valuable tool for mechanical forex traders. However, traders often make the mistake of using stochastics together with numerous unrelated indicators with questionable results. Like some other traders, I’ve found that using a single stochastic oscillator usually doesn’t produce consistent winners. The good news is that a dual stochastic forex trading…
How can a Dual Stochastic Forex Strategy Improve your Results?

Stochastic oscillators can be a valuable tool for mechanical forex traders. However, traders often make the mistake of using stochastics together with numerous unrelated indicators with questionable results.

Like some other traders, I’ve found that using a single stochastic oscillator usually doesn’t produce consistent winners.

The good news is that a dual stochastic forex trading system can produce excellent results. Personally, I have found success in building my strategy based solely on stochastic indicators, with very little else to clutter the picture.

I have found particular success when using two stochastic oscillators together – one slow, and the other fast – in order to find trading opportunities.

When used with the appropriate parameters, a system programmed to monitor dual stochastic indicators can signal when the price of a forex pair is trending yet overextended during a period of short-term retracement.

This dual stochastic strategy focuses on trading when the two indicators are showing extreme opposite values. When both the fast and slow stochastics are at or near the designated limit values, it signals a trading opportunity.

I use my mechanical trading system to watch for such conditions and enter a trade when the price is about to revert back to the continuation of that trend. For me, it’s a good, simple forex trading system that works very well on its own, without adding other, more-complex indicators.

I’ve used this strategy for trading over a variety of time frames from fifteen-minute to daily. I’ve had particularly good results when using this strategy for trading EUR/USD on hourly time frames, and it works especially well for “short” trades in this currency pair.

Understanding stochastic oscillators

The first basic stochastic oscillator was developed in the late 1950s by financial analyst Dr. George C. Lane. The word stochastic itself is derived from a Greek word meaning ‘aim’ and in general finance, the word usually refers to the seemingly random pattern of values around a given target value.

Stochastics are based on the idea that during an uptrend prices will stay at or above the closing price of the previous time period. Likewise, during a downtrend prices will stay at or below the closing price of the previous time period.

This easy-to-calculate oscillator was one of the very first momentum indicators used by technicians searching for insight into price moves and reflects support and resistance levels.

When he first developed this concept, Dr. Lane advocated for the use of divergent and convergent trendlines drawn according to stochastics. And, during the earliest use by Dr. Lane and others, stochastic oscillators were usually used in conjunction with other tools such as Elliot Waves and Fibonacci retracements for best timing.

With regard to trading forex pairs and other assets, the term “stochastics” refers to the location of the current price relative to its recent price range over some given period of time.

Part of the reasoning behind stochastic indicators is that a forex price has a tendency to close near the extreme of its recent price range before a turning point. A stochastic strategy works to predict the price inflection points by comparing a forex pair’s closing price to its recent price range.

The values are plotted on a chart as one or more bands that oscillate around an axis or between a set of limit values. Mechanical trading systems and expert advisors make it easy to set up forex trading programs that incorporate stochastic indicators.

Calculating fast, slow and full stochastic oscillators for forex trading

Before moving forward it is important to first lay a foundation by defining and describing the underlying stochastic oscillator concepts.

The basic single stochastic compares a forex pair’s closing price to its overall price range during a given period of time by using two lines or bands.

The line referred to as %K reflects the current market price for a given currency pair. The %D line serves to “smooth out” the %K line by showing the currency pair’s price as a moving average.

There are three general types of stochastic oscillator indicators used in forex trading: Fast, slow and full. The “fast” one is based on Dr. Lane’s original equations for %K and %D. When viewed in the fast version, %K looks fairly choppy. %D is the three-day moving average of %K.

During the earliest use of stochastics for trading, Dr. Lane relied on %D to produce “buy” or “sell” signals according to bearish and bullish divergences. Unlike the dual stochastics strategy, when traders use only a single stochastic indicator, they use %D by itself, and it’s called the “signal line.”

Since %D in the “fast” oscillator is used to generate signals, the “slow” oscillator was introduced to take advantage of this by itself. The slow stochastic oscillator used a three-day SMA to smooth %K, which is exactly equivalent to the role of %D in the fast oscillator.

So, in single stochastic strategies, %K in the slow oscillator equals the %D of the fast oscillator.

The Math behind the Basic Stochastic Oscillator

%K is 100 x [Closing Price minus Lowest Price of N time periods] / [Highest Price of N time periods minus Lowest Price of N periods]

and

%D is 100 x [Highest Price of (N minus a lesser number) time periods] / Lowest Price of (N minus a lesser number) time periods]

The first equation calculates the range between the high and low of the forex pair’s price over a given time period. The forex pair’s price is expressed as a percent of that range: 100% represents the top limit of the range and 0% represents the bottom of the range, during the chosen time period.

Fast Stochastic

Fast %K equals the basic %K calculation

Fast %D equals a three-period simple moving average of Fast %K

Slow Stochastic

Slow %K equals Fast %K smoothed by applying a three-period simple moving average

Slow %D equals a three-period simple moving average of Slow %K

Full Stochastic

The full stochastic oscillator is calculated this way:

Full %K equals Fast %K smoothed by an N-period simple moving average

Full %D equals an N-period simple moving average of Full %K

A stochastic oscillator’s sensitivity to marketplace volatility can be reduced by making adjustments to the time periods, as well as by using different moving averages for the %D value.

The most commonly-used values of N used for single, basic stochastics are time periods of 5, 9, or 14 units. Many traders set N at 14 time periods in order to represent a sufficient data sample for meaningful calculations. You can experiment with a different number of periods, and this may affect the results of the strategy.

%K by itself is referred to as the “fast stochastic” value. For single stochastic indicators, %D is generally set to equal a 3-period moving average for %K.

The single %D stochastic is calculated using the last 3 values of %K in order to arrive at a 3-period moving average for the %K stochastic. This creates a “smoothed” value for %K.

Since %D represents the moving average of %K, it’s called the “slow stochastic” because it reacts somewhat more slowly to forex-pair price changes than the %K value does.

When using %D by itself, there is only a single valid signal – The divergence between the price of the forex pair and %D.

Of course, for my dual stochastic strategy as outlined below in this article, I use two different sets of time periods.

As indicated above, the classic stochastic calculations are based on a simple moving average (SMA). However, for the dual stochastic strategy described below, I also use an additional exponential moving average (EMA) as a separate confirmation indicator.

The Dual-Stochastics Trading Strategy

In contrast to the basic single-stochastic indicators described above, a dual stochastics strategy may provide a greater number of winning trades.

My dual stochastic forex trading strategy is based on combining together a fast and slow stochastic and waiting for opportunities when the two different indicators are at extreme opposites. I define the extremes as being at least the 20% and 80% levels, if not closer to 0 and 100%.

The dual strategy is simple – The only other indicator I use along with the set of stochastics is a 20-period exponential moving average (20 EMA), although even that isn’t essential. Or, as an alternative, you could confirm signals by using the middle band of the Bollinger bands.

In MetaTrader, the parameters to be set for the two (dual) sets of stochastics are:

Fast stochastic

  • %K period is 5
  • %D period is 2
  • Slowing is 2
  • Fixed minimum is 0
  • Fixed maximum is 100

Slow stochastic

  • %K period is 21
  • %D period is 4
  • Slowing is 10
  • Fixed minimum is 0
  • Fixed maximum is 100

I combine both of the stochastic oscillators in the same window in the MetaTrader chart. It’s easy to do – Just place the first stochastic on the chart, then drag the other one from the window and drop it down on top of the first indicator. Then enter your settings in the dialogue box.

The Rules of Dual-stochastics Trading

The trading rules are easy. The mechanical trading system is programmed to wait for a strongly-trending price, and watch for the stochastics to be at extreme opposites, near the limit values. For confirmation, the system looks for a candlestick pattern signalling a reversal after a brief retracement to the 20-period EMA.

The below EUR/USD chart shows some examples of trading opportunities. The circles show three prospective entry points for “short” trades in an overall downtrend. Examples 1 and 2 are clear signals. Example 3 is marginal since the slow stochastic is just beginning to move up away from the oversold area.

In Example 1, note particularly that the slow stochastic (the yellow band) is quite oversold, and at the same time the fast stochastic (blue-coloured band) has just finished moving beyond the extreme overbought limit.

The below EUR/USD chart shows a typical “short” trade entry point during a well-confirmed downtrend. In particular, note the flat, oversold slow stochastic band (yellow), together with the (blue) fast stochastic band’s sharp downward hook below the overbought limit.

Note also that the 20 EMA was touched. The separate EMA indicator provides confirmation of the signal shown by the stochastic oscillators. It is also worth noting that even though the bearish candlestick is not a “classic” engulfing type, still it was confirmed by the later candlesticks.

In the EUR/USD chart below, Example 1 shows a typical “short” trade. The slow stochastic (yellow) is flat and touching the oversold limit, while the fast stochastic (blue) has touched the overbought limit.

Example 2 shows a signal that looks to candlestick-lovers like a classic bearish “evening star” pattern at the 20 EMA, but still required a tight stop-loss in order to exit at breakeven.

Finding your Entry and Exit

The last example above is a good reminder that the dual stochastics forex trading strategy is best used with a mechanical trading system programmed with firm trailing-stop and stop-loss rules to ensure that you ride the winners for as long as possible while minimizing the losses.

As illustrated in the charts above, the strategy works best for me with the “shorts.” I program my mechanical trading system to enter a “sell” order for 2% of my account equity when the two stochastic bands touch the respective overbought and oversold limits, and the signal is confirmed by the price touching at or near the 20 EMA.

The stop-loss order is placed at exactly 20 pips above my entry point. The system moves my trailing-stop order along behind the current price level during successful trades, usually at a distance of 10 pips.

A Simple Strategy

The main advantage of this strategy is its simplicity. Instead of relying on the questionable single stochastic indicator or the complexity of multiple layers of indicators, a set of two stochastic oscillators can be both effective and straightforward. The strategy is easy to understand, and it’s easy to program for mechanical trading systems.

Have you been using stochastic oscillators in your own trading?

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