Full Decay" trading strategy

In the 15th issue of the ForTrader.org traders' magazine, we will take a look at the "Full Fade" trading strategy, which is effective, as its authors claim, for both short-term and long-term periods. The strategy is based on working on Bollinger Bands and using the Relative Strength Indicator (RSI) as a signal filter.

Trading strategy algorithm

So, to work on the strategy we will need 3 copies of the Bollinger channels indicator with a period of 20 and deviations 1, 2 and 3, as well as the RSI indicator with a period of 14. To work, we will take hourly chart of the currency pair EURUSD.

Figure 1. Strategy workspace.
Figure 1. Strategy workspace.

Searching for a buy signal

1. the Relative Strength Index(RSI) should be below 30;

2. The price should reach the lowest Bollinger Bands;

3. Wait for the candle on the hourly chart to move above the second lower Bollinger Band;

4. As soon as the first candle closes above the second line it is necessary to buy;

5. A stop order is placed 10 pips below the last local low;

6. The first target for half of the position is equal to the size of the stop order, when reached, it is necessary to move the stop to the breakeven point;

7. The second target is the level of the second upper Bollinger band.

Fig. 2. Buy signal.
Fig. 2. Buy signal.

Searching for a sell signal

1. RSI must be greater than 70;

2. The price should reach the upper Bollinger Band;

3. Wait for the candlestick on the hourly chart to move from the upper line down behind the second line;

4. As soon as the first candle closes below the second line, sell at the market;

5. A stop order is placed 10 pips above the last local high;

6. The first target for half of the position is equal to the size of the stop order, when reached, the stop should be moved to breakeven point;

7. The second target is the level of the second lower band.

Fig. 3. Sell signal.
Fig. 3. Sell signal.

Testing the strategy

Having tested the above rules, we obtained the following following results:

Fig. 4. Testing on EURUSD. H1.
Fig. 4. Testing on EURUSD. H1.

Testing of the system was conducted with a constant transaction volume of 1 lot.

The results show that trading according to the standard parameters of the strategy is unprofitable. Let's try to choose the most optimal parameters in the period from 2007.01.11 to 2008.01.11 and then check them in the future period up to June 2008.

Strategy optimization

Having tested various combinations, we failed to get positive results for the future period, so we settled on the most optimized parameter:

Fig. 5. Results of strategy optimization for EURUSD. H1.
Fig. 5. Results of strategy optimization for EURUSD. H1.

Let's see what kind of results optimized strategy.

Fig. 6. Result of the selected parameters in the period from 2008.01.11 to 2008.06.01.
Fig. 6. Result of the selected parameters in the period from 2008.01.11 to 2008.06.01.

As we can see, positive resultFor this period the profit amounted to $5059. Now let's check how these parameters work on the future period from 08.01.11 to the present.

Figure 7. System operation without parameter selection at the site from 2008.01.11 to present.
Figure 7. System operation without parameter selection at the site from 2008.01.11 to present.

Not an attractive prospect at all. Testing has shown that the standard parameters, as well as the prooptimized ones, do not produce positive results with this strategy - what the authors promise.

Bottom line

We do not recommend to work on this strategy with classical rulesThe entries are too late and often directed against the formed trends. Entries are too late and are often directed against the formed trends, because of which stop orders are often triggered.

ForTrader.org's verdict: strategy needs more research and refinement.

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