MQL5 Wizard - Trading Signals Based on 3 Black Crows/3 White Soldiers + Stochastic Indicator - MetaTrader 5 Expert

CheckCandlestickPattern(CANDLE_PATTERN_THREE_WHITE_SOLDIERS) method CC Candlestick Pattern class is used to check the formation of the "3 White Soldiers" candlestick pattern.

2. Trading signals, confirmed by stochastic indicator

The closing of an open position depends on the value of the %D indicator. This can be done in two situations:

Figure 3. “3 White Pawns” pattern, confirmed by Stochastic

Verification of entry and exit trade conditions is implemented in two ways:

2.1. Open long position/close short position

The formation of the "Three Soldiers in White" pattern must go through the stochastic indicator: StochSignal(1)<30 (the stochastic indicator signal line value of the final completed bar must be less than 30).

If the signal line Stochastic has crossed the 20 or 80 levels upwards.

 //+------------------------------------------------------------------+
//|Check the conditions for entering and exiting the market |
//| 1) Enter the market (open long position, result = 80) |
//| 2) Market Exit (Close Position, Result=40) |
//+------------------------------------------------------------------+
IntegerCBC_WS_Stoch ::LongCondition()
  {
Integer result = 0 ; //--- idx can be used to determine the Expert Advisor working mode
//--- idx=0 - in this case the EA checks the trading conditions on every price move
//--- idx=1 - in this case the EA only checks the trading status of the news bar integer idx =StartIndex(); //--- checks the conditions for opening a long position
//--- Form 3 white pawn patterns and signal lines < 30 if (CheckCandlestickPattern(CANDLE_PATTERN_THREE_WHITE_SOLDIERS) && (StochSignal( 1 ) < 30 ))
    Result = 80 ; //--- check closing conditions
//--- Signal line crossover for overbought/oversold levels (down 20, up 80) if ((((StochSignal( 1 )> 20 ) && (StochSignal( 2 )< 20 )) ||
      ((StochSignal( 1 )> 80 ) && (StochSignal( 2 )< 80 ))))
    result = 40 ; //--- return result return (result);
  }

2.2. Open short position/close long position

The formation of the "Three Black Crows" pattern must be caused by the Stochastic indicator: StochSignal(1)>70 (the value of the Stochastic indicator signal line of the final completed bar must be greater than 70).

If the signal line Stochastic has crossed below the 80 or 20 levels.

 //+------------------------------------------------------------------+
//|Check the conditions for entering and exiting the market |
//| 1) Enter the market (short position, result=80) |
//| 2) Market Exit (Close Position, Result=40) |
//+------------------------------------------------------------------+
Integer CBC_WS_Stoch::ShortCondition()
  {
Integer result = 0 ; //--- idx can be used to determine the Expert Advisor working mode
//--- idx=0 - in this case the EA checks the trading conditions on every price move
//--- idx=1 - in this case the EA only checks the trading status of the news bar integer idx =StartIndex(); //--- checks the conditions for opening a short position
//--- Form 3 Black Crow Patterns and Signal Line > 70 if (CheckCandlestickPattern(CANDLE_PATTERN_THREE_BLACK_CROWS) && (StochSignal( 1 ) > 70 ))
    result = 80 ; //--- Check closing conditions
//--- Signal line crossover for overbought/oversold levels (80 down, 20 up) if ((((StochSignal( 1 ) < 80 ) && (StochSignal( 2 ) > 80 )) ||
      ((StochSignal( 1 )< 20 ) && (StochSignal( 2 )> 20 ))))
    result = 40 ; //--- return result return (result);
  }

2.3. Use the MQL5 Wizard to create an Expert Advisor

The CBC_WS_Stoch class is not included in the standard library classes, to use it you need to download the acbc_ws_stoch.mqh file (see attachment) and save it to client_terminal_data\folder\MQL5\Include\Expert\Signal\MySignals. The same operation should be performed for the candlepatterns.mqh file. After restarting MetaEditor, you can use it in the MQL5 Wizard.

Create Expert Advisor Launch MQL5 Wizard :

Figure 4. Creating an Expert Advisor using the MQL5 Wizard

Let's specify the name of the Expert Advisor:

Figure 5. General properties of EA trading

After that we need to choose the trading signal module to use.

Figure 6. Signal properties of EA trading

In our case we use only one trading signals module.

Figure 7. Signal properties of EA trading

Added trading signals module:

Figure 8. Signal properties of EA trading

You can choose any trailing attribute, but we will use "Unused Trailing Stop":

Figure 9. Tracking properties of Expert Advisor

Regarding the money management properties, we will use "Fixed Volume Trading":

Figure 10. Money management attributes of EA trading

Press the "Finish" button and we will get the code of the generated Expert Advisor in Expert_ABC_WS_Stoch.mq5, which will be saved in terminal_data_folder\MQL5\Experts\.

Default input parameters of the generated Expert Advisor:

 //--- Main signal input
Input integer Signal_ThresholdOpen = 10 ; //Open signal threshold[0...100]
Input integer Signal_ThresholdClose = 10 ; // Close signal threshold [0...100]
Enter double Signal_PriceLevel = 0.0 ; // price level at which to execute the trade
Enter double Signal_StopLevel = 50.0 ; // Stop loss level in pips
Enter double Signal_TakeLevel = 50.0 ; // Take profit level (in pips)

Must be replaced with:

 //--- Main signal input
Input integer Signal_ThresholdOpen = 40 ; //Open signal threshold[0...100]
Input integer Signal_ThresholdClose = 20 ; // Close signal threshold [0...100]
Enter double Signal_PriceLevel = 0.0 ; // price level at which to execute the trade
Enter double Signal_StopLevel = 0.0 ; // Stop loss level in points
Enter double Signal_TakeLevel = 0.0 ; // Take profit level (in pips)

Signal_ThresholdOpen/Signal_ThresholdClose input parameters allow specifying threshold levels for opening and closing positions.

In the code of the LongCondition() and ShortCondition() methods of the trading signal class, we specify the fixed value of the threshold:

The Expert Advisor generates opening and closing positions by the MQL5 Wizard using "votes" in the Trading Signals module. The vote of the main module (which acts as a container and consists of all added modules) is also used, but its LongCondition() and ShortCondition() methods always return 0.

The voting results from the main module are also used for "voting" averaging. In our case we have: main module + 1 trading signals module, so we need to take this fact into account when setting the thresholds. Therefore, ThresholdOpen and ThresholdClose must be set to 40=(0+80)/2 and 20=(0+40)/2.

The value of the Signal_StopLevel and Signal_TakeLevel input parameters is set to 0, which means that the position will be closed only if the closing conditions are met.

2.4. Historical backtest results

Let us consider the backtesting of EA trading on historical data (EURUSD H1, test period: 2010.01.01-2011.02.02, PeriodK=47, PeriodD=9, PeriodSlow=13, MA_period=5).

When creating the EA, we used a fixed trading volume ( fixed lot size for trading , 0.1) and did not use the trailing stop algorithm ( trailing was not used ).

Figure 11. Test results of EA trading, based on 3 black crows/3 white soldiers + stochastic indicator"

The best set of input parameters for the Strategy Tester MetaTrader 5 client can be found using the following command.

The code for the Expert Advisor created by the MQL5 Wizard is attached in Expert_abc_ws_stoch.mq5.

Attachment download

📎 acandlepatterns.mqh (20.34 KB)

📎 acbc_ws_stoch.mqh (8.5 KB)

📎expert_abc_ws_stoch.mq5 (7.24 KB)

Source: MQL5 #283