Technical indicators are important tools at traders’ disposal. Volatility, trading volume, trend directions are all essential metrics that traders require to make educated guesses about the future price movements.
Technical indicators are important tools at traders’ disposal. Volatility, trading volume, trend directions are all essential metrics that traders require to make educated guesses about the future price movements.
Forex traders, especially short-term traders, such as scalpers and day traders, require significant amounts of technical knowledge and data to build durable trading strategies and generate reliable profits. No single technical indicator can be effective for all market conditions. This is why most traders use a combination of multiple indicators to analyze price charts. This article will look at some of the most common indicator combinations used by forex traders. Understanding fx indicators that work well together is critical for short time frame technical traders.
When picking Forex market indicators that work well together, it’s crucial to only pick the indicators that you need. Traders that overuse different indicators end up struggling with making trading decisions. Too many variables and indicators often cause analysis paralysis among traders.
Trading conditions often change from trending to ranging, from calm to volatile markets. There’s no single indicator that works in every condition. Which is why traders are looking for FX indicators that work well together. There are indicators that measure different things:
Now let’s take a look at some Forex indicators that work well together examples. The awesome oscillator and fractals are used together to identify the support and resistance boundaries of trends. Traders use them in combination to find reliable entry points by measuring the distance between the histogram bars of the awesome oscillator and zero lines.
The Awesome Oscillator is a momentum indicator that helps traders identify potential trend reversals by comparing two simple moving averages of short and longer periods (typically 5 and 34-day SMAs).
To calculate the awesome oscillator, the first step is to find the 5-day and 34-day SMAs:
SMA = (High price + Low price)/2
Where the highs and lows are separate for the 34 and 5-day averages, respectively.
Awesome oscillator = 5-period SMA – 34-period SMA
After that, the awesome oscillator can be placed on a histogram, where the centerline value is 0.
Fractals consist of five bars and are used to identify possible trend changes on the market.
Fractal formula and calculation steps:
Join over 25 million worldwide who have already chosen the Plus500 Group
Regulated in 7 jurisdictions. Chosen by 400,000 traders globlaly
Online trading with better-than-market conditions
Trade with spreads from 0.0 pips, no requotes, no price manipulation and no restrictions.
Bearish fractal =
Bullish fractal =
Where:
N = High/Low of the current candle
N – 2 = High/Low of the candle two periods to the left of N
N – 1 = High/Low of the candle, one period to the left of N
N +1 = High/Low of the candle, one period to the right of N
N+ 2 = High/Low of the candle two periods to the right of N
How to calculate the fractal:
When trading with the Awesome Oscillator (below the chart), traders can apply fractals (on the chart) to find trend and breaking points on the AO. For example, bullish fractals coinciding with an uptick in AO value could help confirm the bullish signal sent out by the fractal indicator.
It’s hard to spot the indicators that work well together in FX, however MACD and stochastic oscillators can count as an example.
The MACD is a trend momentum indicator that depicts the relationship between two exponential moving averages. MACD is used to generate overbought and oversold signals, Crossover and divergence strategies are used to generate bullish and bearish signals on the MACD curve.
To calculate the MACD, we must first find the 12 and 26-period EMAs:.
EMA = Price(T) x K + EMA(Y) x (1-K)
Where:
T = price today
Y = yesterday’s EMA
K = 2/(N+1)
N = number of days in the EMA
MACD = 12-period EMA – 26-period EMA
The Stochastic Oscillator compares the closing prices of an asset to a range of prices over a 14-period timeframe. The indicator measures price momentum on a scale of 0 to 100. Prices tend to overextend, and the Stochastic Oscillator shows these areas on the chart.
The Stochastic Oscillator formula:
%K = ((C – L14) / (H14 – L14)) X 100
Where:
%K = current value of the stochastic indicator
C = Recent closing price
L14 = the lowest price over the last 14 trading sessions
H14 = the highest price over the last 14 trading sessions
The %K figure is often referred to as the fast stochastic oscillator. To calculate the slow stochastic oscillator, or %D, calculate the 3-period moving average of %K.
When the stochastic value reaches 100 and starts heading downward, this is a sell signal. When the stochastic drops to a near-zero value – this is a buy signal.
The Double-Cross strategy integrates the MACD with the stochastic. This is how the strategy typically works:
Another example of FX trading indicators that work well together are The Relative Strength Index RSI and Exponential Moving Average EMA.
The RSI is a momentum indicator that measures trend strength and possible reversals. The indicator shows the speed and change of price movements and assigns a value of 0 to 100.
The RSI value above 70 represents an overbought signal, while a value below 30 is considered oversold. The 40-50 and 50-60 values are often used as support and resistance levels for the RSI.
RSI calculation:
RSI = 100–100/((1+(Average gain/Average loss))
The first formula uses positive values for gains and losses, which represent the percentage gains and losses over the previous periods. Periods of gain are input as zero in the average loss.
RSI = 100 – [100/(1+((Previous Average Gain X 13) + Current Gain) / ((Previous Average Loss X 13) + Current Loss))
An exponential moving average is a category of moving averages that places a greater weight on the most recent price points. EMA crossovers and divergences generate buy and sell signals for traders.
The shorter the timeframe, the closer an EMA follows the price chart.
EMAs are most suited for trending markets with distinct breakouts and reversals.
To calculate an exponential moving average, traders need to have the following data available to them:
Once we have this information, we can move on to the formula, which is as follows:
EMA = Price(T) x K + EMA(Y) x (1-K)
Where:
T = price today
Y = yesterday’s EMA
K = 2/(N+1)
N = number of days in the EMA
Fibonacci retracement levels and common trendlines are often used together to find support and resistance levels in trading. When selecting Forex trading indicators that work well together, it’s important to note that each indicator is made for identifying a certain condition. If your trading strategies are based on trading significant levels, Fibonacci retracements and trendlines are a great combination.
Fibonacci retracement levels connect two relevant price points on a chart. The Fibonacci percentage ratios of 23.6%, 38.2%, 50%, 61.8%, and 78.6% are all areas where the price could reverse, or slow down. However, reaching Fibonacci levels does not guarantee a reversal by any means.
Simple trendlines used with Fibonacci retracement levels can help traders identify the retracement levels with a higher likelihood of a reversal. When Fibonacci levels coincide with the crossovers between the price and the trendline can be a stronger signal than retracement levels on their own.
BandWidth is an indicator derived from Bollinger Bands. The two indicators used together show the Bollinger Bands and the percentage difference between the upper and lower bands to clearly show whether the bands are contracting or expanding and to what degree.
Bollinger Bands are composed of trendlines, which are plotted two standard deviations apart from a simple moving average of an asset’s price. The bands expand or contract based on the volatility of the asset.
Bollinger Bands formula:
BOLU = MA (TP, n) + m * σ [TP, n]
BOLD = MA (TP, n) – m * σ [TP, n]
Where:
BOLU = the upper Bollinger Band
BOLD = the lower Bollinger Band
MA = moving average
TP = typical price = (High + Low + Close)/3
N = number of days in smoothing period (20)
M = number of standard deviations (2)
σ [TP, n] = the standard deviation over last n periods of TP
Bollinger BandWidth calculation:
Band Width = (Upper Bollinger Band – Lower Bollinger Band) / Middle Bollinger Band
Applying BandWidth to Bollinger Bands makes it easier to identify squeeze signals.
Keltner channels use the Average True Range to show trend continuations. When the ATR breaks above or below the Keltner channels, this indicates a continuation.
Keltner channels use the ATR to measure volatility. When the ATR breaks above the Keltner channel, this shows a continuing uptrend. The bands are usually placed at two times the ATR above and below the EMA.
The price reaching the upper Keltner channel is a bullish signal, and vice versa. Upper and lower Keltner bands serve as support and resistance levels.
Keltner channel calculation:
Keltner Channel Middle Line = EMA
Keltner Channel Upper Band = EMA+2*ATR
Keltner Channel Lower Band = EMA−2*ATR
where:
EMA = Exponential moving average (typically over 20 periods)
ATR = Average True Range (typically over 10 or 20 periods)
The below steps describe the process of calculating Keltner channels:
Average true range uses absolute values of current and previous closing prices to find a simple moving average. A pair experiencing high volatility will have a high ATR, and vice versa.
ATR measures volatility and not the direction of a pair’s price.
To calculate the average true range, let’s look at the formula below:
TR=Max[(H − L), Abs(H − CP), Abs(L − CP)]
ATR=(1 / n) (i=1)∑ (n) TR(i)
Where:
TR(i) = A particular true range
N = The time period employed
If a trader wants to use a 10-day timeframe, they will have to calculate:
The same would be done for the 10 recent trading days, which are then averaged to find the first 10 values of the ATR.
Keltner channel width is determined by the ATR. When the ATR spikes, the Keltner channels widen, and vice versa. ATR can also show where channel breakouts are likely to happen. When the channel tightens, the price is likely to have a breakout, and the ATR value goes down.
Forex indicators that are used in combination are often used as such to mitigate the flaws associated with each. Identifying the relationship between key metrics such as trend and volatility, volume and price are important for traders that wish to generate reliable market entry and exit signals.
When traders use different technical indicators on the same chart, this allows them to take advantage of the most effective features of each indicator. A possible downside to this is cluttering the price chart with too many indicators, which can render them ineffective.
Using multiple indicators can help traders mitigate some risk associated with each of them, thus reducing the downside to the trader’s funds. Effective indicator combinations can not only lead to profits, but also protect trades from the bulk of the risk associated with Forex technical trading.