Applying Multiple Time Frame Analysis to the 4 Hour RSI Bollinger Bands Strategy
Although the 4 Hour RSI Bollinger Bands Strategy has proven to perform quite well by applying the multiple time frame analysis concept we can have a better framework format to trade upon. A top-down approach to multiple time frame analysis is to first start with the higher time frame and work your way down to lower time frames. Basing your trading decision off of multiple time frames requires the use of at least 2-3 different time frames. The4 Hour RSI Bollinger Bands Strategy with multiple time frame analysis uses 3 time frames as follows: Daily, 4H, and 1H time frames. When you combine together three different time frames the odds of being on the right side of the market increases.
Understanding Multiple Time Frames Analysis
Starting with the Daily time frame, we can look first to assess the line of least resistance or in other words to dominant trend. If we’re trading above the upper Bollinger Band and the RSI Indicator is in overbought territory the trend is about to reverse, however, if the RSI is not greater or equal than 70 most likely we’re in a strong bullish trend and it’s best to wait for the RSI to turn overbought. The same holds true in reverse if on the daily we’re trading below the lower Bollinger Bands.
Applying the Multiple Time Frames Analysis on the EURUSD Daily Chart
Going forward, we’re downgrading our multiple time frame analysis to the 4h chart and wait to see the same price action like in the Daily time frame. If on the Daily time frame we’re overbought and above BB we wait for the 4h chart to turn overbought and break above the upper band or if we’re oversold we wait for the 4h chart to turn oversold.
Applying the Multiple Time Frames Analysis on the EURUSD 4 Hour Chart
In Figure 3 we have the 1h time frames, which we’re going to use to time the market and entry our trades. All we have to do is to wait for the Bollinger Bands to turn flat and enter short at the market as soon as we break below the lower Bollinger Band if the 4h and the Daily time frame are in overbought conditions. If the 4h and the Daily time frame are in oversold conditions we’re going to enter long once the market breaks above the upper Bollinger Bands.
Analysis on the EURUSD 1 Hour Chart " width="975" height="440" /> Applying the Multiple Time Frames Analysis on the EURUSD 1 Hour Chart
Multiple time frame analysis requires a lot of practice because often time different time frames can produce conflicting signals. However, if you have straight rules and if you look at each time frame for specific patterns you can have a much clearer view of the overall price action.
Let’s take another example and see how we can use differently the concept of multiple time frame analysis. We’re going to use the Daily chart to take the direction of the trend if we break below the BB we enter into a bearish trend and conversely if we break above the BB we enter into a bullish trend.
Short Trade Opportunity Identified on EURUSD Daily Chart
Downgrading the charts to the next time frame - the 4H chart; we look for a retracement into the middle band before going down to the 1h chart for fine tuning our entry.
Then we look at the EURUSD 4 Hour Chart
On the 1 Hour chart, we look for both the RSI to be in overbought condition as well as for the price to either touch or break the upper band. The idea behind this multiple time frame analysis is that the Daily chart will give us the market bias and with the help of the 4h and 1h chart we can better time the market.
And finally, we fine tuned our entry on the 1 Hour Chart
Regardless of the strategy that you might be using right now, you can certainly increase your probability when you apply multiple time frame analysis to confirm your trading signals. If you trade of the 4H chart, then use the daily chart to confirm that you are trading in line with the bigger trend. Then use the 1 hour chart to time your entry. This is a powerful method that you won't find anywhere else. Comment below to share with us your success in using the Multiple Time Frame Analysis.
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