Profitunity Chaos Trading System in MQL5

Introduction

Imagine steering through the turbulent waves of the forex market with the precision of a seasoned navigator, using a suite of indicators to capture trend reversals with confidence. The Profitunity Trading EA is your advanced chaos navigation tool, implementing Bill Williams’ Profitunity system to automate trading. It combines four indicators: Fractals ("handle_Fractals") for reversal points, Alligator ("handle_Alligator") with 13/8/5 periods for trend direction, Awesome Oscillator (AO, "handle_AO") for momentum, and Acceleration/Deceleration Oscillator (AC, "handle_AC") for acceleration. A buy signal triggers when a lower fractal ("fractals_down", "lastFractal_direction=FRACTAL_DOWN") is followed by price breaking above the Alligator’s jaws ("alligator_jaws", "isBreakdown_jaws_buy"), with AO crossing above zero ("ao_values[1] > 0") and AC green ("ac_color[1]=AC_COLOR_UP"), opening a 10-lot buy via "obj_Trade.Buy()". Sells mirror this for upper fractals. Opposite positions are closed when AO reverses ("obj_Trade.PositionClose()"), with no stop losses or take profits. This high-risk EA suits traders embracing momentum-driven trading, requiring strict capital management.

This article is crafted with a professional, engaging, and seamless narrative, flowing like a well-calibrated navigation system, designed to inform and captivate readers. Tailored for both novice and experienced traders, we’ll dissect each code component with clear, precise explanations, as if guiding an apprentice navigator through a chaos-trading project. With vivid examples—like trading EURUSD—and a polished tone, we’ll explore how the EA initializes, detects signals, executes trades, manages positions, and ensures cleanup. Using a precision chaos navigation metaphor, this guide will illuminate the code’s technical rigor, empowering you to conquer market trends with confidence. Let’s activate the system and begin this trading expedition!

Strategy Blueprint

Let’s outline the EA’s navigation framework, like drafting specifications for a chaos-trading system:

• Indicator Setup: Initializes Fractals ("iFractals()"), Alligator ("iAlligator()", 13/8/5), AO ("iAO()"), and AC ("iAC()") for signal generation, using "ChartIndicatorAdd()".

• Signal Detection: Triggers buys on a lower fractal ("fractals_down", "FRACTAL_DOWN"), price breaking above Alligator jaws ("isBreakdown_jaws_buy"), AO crossing above zero ("ao_values[1] > 0", "ao_values[2] < 0"), and AC green ("ac_color[1]=AC_COLOR_UP"); sells on upper fractals, price below jaws, AO below zero, and AC red, via "CopyBuffer()".

• Trade Execution: Opens 10-lot buys/sells ("obj_Trade.Buy()", "obj_Trade.Sell()") without stop losses or take profits, using "getAsk()", "getBid()".

• Position Closure: Closes buys when AO crosses below zero, or sells when AO crosses above zero ("obj_Trade.PositionClose()", "PositionsTotal()", "PositionGetTicket()").

• Execution: Processes signals on new bars ("isNewBar()", "iBars()") with data from "iClose()".

• Enhancements: Adding stop losses, magic numbers, or lot size inputs could improve safety and control. This framework automates chaos trading with precision, leveraging multiple indicators for robust signals.

Code Implementation

Let’s step into the chaos navigation control room and dissect the MQL5 code that powers this Profitunity Trading EA. We’ll guide you through each phase like expert navigators, ensuring the narrative flows seamlessly with professional clarity and engaging precision that captivates readers. We’ll cover initialization, signal detection, trade execution, position management, and cleanup, with detailed explanations and examples—like trading EURUSD—to make it accessible for beginners. Each phase will build on the last, crafting a cohesive technical narrative that transforms code into a compelling chaos-trading project. Let’s power up the system and begin!

Phase 1: Constructing the Framework—Initialization

We start by building the trading system, initializing multiple indicators for chaos navigation.

//+------------------------------------------------------------------+
//|                                       PROFITUNITY TRADING EA.mq5 |
//|                           Copyright 2025, Allan Munene Mutiiria. |
//|                                   https://t.me/Forex_Algo_Trader |
//+------------------------------------------------------------------+
#property copyright "Copyright 2025, Allan Munene Mutiiria."
#property link      "https://t.me/Forex_Algo_Trader"
#property version   "1.00"

#include <Trade/Trade.mqh>
CTrade obj_Trade;

int handle_Fractals = INVALID_HANDLE;
int handle_Alligator = INVALID_HANDLE;
int handle_AO = INVALID_HANDLE;
int handle_AC = INVALID_HANDLE;

double fractals_up[];
double fractals_down[];
double alligator_jaws[];
double alligator_teeth[];
double alligator_lips[];
double ao_values[];
double ac_color[];
#define AC_COLOR_UP 0
#define AC_COLOR_DOWN 1

double lastFractal_Value = 0.0;
enum fractal_direction {FRACTAL_UP,FRACTAL_DOWN,FRACTAL_NEUTRAL};
fractal_direction lastFractal_direction = FRACTAL_NEUTRAL;

int OnInit(){
   handle_Fractals = iFractals(_Symbol,_Period);
   if (handle_Fractals == INVALID_HANDLE){
      Print("ERROR: UNABLE TO INITIALIZE THE FRACTALS INDICATOR. REVERTING NOW!");
      return (INIT_FAILED);
   }
   handle_Alligator = iAlligator(_Symbol,_Period,13,8,8,5,5,3,MODE_SMMA,PRICE_MEDIAN);
   if (handle_Alligator == INVALID_HANDLE){
      Print("ERROR: UNABLE TO INITIALIZE THE ALLIGATOR INDICATOR. REVERTING NOW!");
      return (INIT_FAILED);
   }
   handle_AO = iAO(_Symbol,_Period);
   if (handle_AO == INVALID_HANDLE){
      Print("ERROR: UNABLE TO INITIALIZE THE AO INDICATOR. REVERTING NOW!");
      return (INIT_FAILED);
   }
   handle_AC = iAC(_Symbol,_Period);
   if (handle_AC == INVALID_HANDLE){
      Print("ERROR: UNABLE TO INITIALIZE THE AC INDICATOR. REVERTING NOW!");
      return (INIT_FAILED);
   }
   if (!ChartIndicatorAdd(0,0,handle_Fractals)){
      Print("ERROR: UNABLE TO ADD THE FRACTALS INDICATOR TO CHART. REVERTING NOW!");
      return (INIT_FAILED);
   }
   if (!ChartIndicatorAdd(0,0,handle_Alligator)){
      Print("ERROR: UNABLE TO ADD THE ALLIGATOR INDICATOR TO CHART. REVERTING NOW!");
      return (INIT_FAILED);
   }
   if (!ChartIndicatorAdd(0,1,handle_AO)){
      Print("ERROR: UNABLE TO ADD THE AO INDICATOR TO CHART. REVERTING NOW!");
      return (INIT_FAILED);
   }
   if (!ChartIndicatorAdd(0,2,handle_AC)){
      Print("ERROR: UNABLE TO ADD THE AC INDICATOR TO CHART. REVERTING NOW!");
      return (INIT_FAILED);
   }
   ArraySetAsSeries(fractals_up,true);
   ArraySetAsSeries(fractals_down,true);
   ArraySetAsSeries(alligator_jaws,true);
   ArraySetAsSeries(alligator_teeth,true);
   ArraySetAsSeries(alligator_lips,true);
   ArraySetAsSeries(ao_values,true);
   ArraySetAsSeries(ac_color,true);
   return(INIT_SUCCEEDED);
}

The system begins with the #property header, establishing copyright and contact details, like calibrating a chaos navigation system’s core. The "OnInit()" function initializes the setup, including "Trade/Trade.mqh" for trading via "obj_Trade". It creates handles for Fractals ("handle_Fractals", "iFractals()"), Alligator ("handle_Alligator", "iAlligator()", 13/8/5 SMMA), AO ("handle_AO", "iAO()"), and AC ("handle_AC", "iAC()"), adding them to the chart with "ChartIndicatorAdd()". Data arrays ("fractals_up", "alligator_jaws", "ao_values", "ac_color", etc.) are set as time series ("ArraySetAsSeries()") for storage. Variables track fractal state ("lastFractal_Value", "lastFractal_direction"). If any handle or chart addition fails ("INVALID_HANDLE"), it logs with "Print()" and returns "INIT_FAILED". Returning INIT_SUCCEEDED signals, “System is ready, let’s navigate chaos!” This primes the EA for multi-indicator trading, like a navigation tool poised for action.

Phase 2: Mapping Chaos Signals—Loading Indicator Data

With the system active, we load data from multiple indicators to detect trade signals, like scanning turbulent seas for navigational cues.

void OnTick(){
   if (CopyBuffer(handle_Fractals,0,2,3,fractals_up) < 3){
      Print("ERROR: UNABLE TO COPY THE FRACTALS UP DATA. REVERTING!");
      return;
   }
   if (CopyBuffer(handle_Fractals,1,2,3,fractals_down) < 3){
      Print("ERROR: UNABLE TO COPY THE FRACTALS DOWN DATA. REVERTING!");
      return;
   }
   if (CopyBuffer(handle_Alligator,0,0,3,alligator_jaws) < 3){
      Print("ERROR: UNABLE TO COPY THE ALLIGATOR JAWS DATA. REVERTING!");
      return;
   }
   if (CopyBuffer(handle_Alligator,1,0,3,alligator_teeth) < 3){
      Print("ERROR: UNABLE TO COPY THE ALLIGATOR TEETH DATA. REVERTING!");
      return;
   }
   if (CopyBuffer(handle_Alligator,2,0,3,alligator_lips) < 3){
      Print("ERROR: UNABLE TO COPY THE ALLIGATOR LIPS DATA. REVERTING!");
      return;
   }
   if (CopyBuffer(handle_AO,0,0,3,ao_values) < 3){
      Print("ERROR: UNABLE TO COPY THE AO DATA. REVERTING!");
      return;
   }
   if (CopyBuffer(handle_AC,1,0,3,ac_color) < 3){
      Print("ERROR: UNABLE TO COPY THE AC DATA. REVERTING!");
      return;
   }

In the signal mapping hub, "OnTick()" loads data for 3 bars using "CopyBuffer()": upper/lower fractals ("fractals_up", "fractals_down"), Alligator jaws/teeth/lips ("alligator_jaws", "alligator_teeth", "alligator_lips"), AO values ("ao_values"), and AC color ("ac_color", "AC_COLOR_UP"=0, "AC_COLOR_DOWN"=1). If any copy fails ("< 3"), it logs with "Print()" and exits, ensuring reliable data. For example, on EURUSD H1, it loads fractal data (e.g., upper=1.2020), Alligator (jaws=1.2000), AO (0.0005), and AC (green=0), like gathering navigational data for a trade signal.

Phase 3: Navigating Signals—Detecting Trade Opportunities

With data loaded, we detect signals using combined indicator conditions, like plotting a course through market chaos.

void OnTick(){
   // ... (data loading)
   if (isNewBar()){
      const int index_fractal = 0;
      if (fractals_up[index_fractal] != EMPTY_VALUE){
         lastFractal_Value = fractals_up[index_fractal];
         lastFractal_direction = FRACTAL_UP;
      }
      if (fractals_down[index_fractal] != EMPTY_VALUE){
         lastFractal_Value = fractals_down[index_fractal];
         lastFractal_direction = FRACTAL_DOWN;
      }
      bool isBreakdown_jaws_buy = alligator_jaws[1] < getClosePrice(1)
                                  && alligator_jaws[2] > getClosePrice(2);
      bool isBreakdown_jaws_sell = alligator_jaws[1] > getClosePrice(1)
                                  && alligator_jaws[2] < getClosePrice(2);
      if (lastFractal_direction == FRACTAL_DOWN
         && isBreakdown_jaws_buy
         && (ao_values[1] > 0 && ao_values[2] < 0)
         && ac_color[1] == AC_COLOR_UP){
         Print("BUY SIGNAL GENERATED");
         obj_Trade.Buy(10,_Symbol,getAsk());
      }
      if (lastFractal_direction == FRACTAL_UP
         && isBreakdown_jaws_sell
         && (ao_values[1] < 0 && ao_values[2] > 0)
         && ac_color[1] == AC_COLOR_DOWN){
         Print("SELL SIGNAL GENERATED");
         obj_Trade.Sell(10,_Symbol,getBid());
      }

In the signal navigation hub, "OnTick()" processes signals on new bars ("isNewBar()", "iBars()"). It updates fractal state ("lastFractal_Value", "lastFractal_direction") if a fractal exists ("fractals_up/down != EMPTY_VALUE"). A buy signal requires: (1) lower fractal ("FRACTAL_DOWN"), (2) price breaking above Alligator jaws ("isBreakdown_jaws_buy", "getClosePrice()", "iClose()"), (3) AO crossing above zero ("ao_values[1] > 0", "ao_values[2] < 0"), and (4) AC green ("ac_color[1]=AC_COLOR_UP"), opening a 10-lot buy ("obj_Trade.Buy()", "getAsk()", "SymbolInfoDouble()"). Sells mirror this for upper fractals, jaws breakdown, AO below zero, and AC red. For example, on EURUSD H1, a lower fractal at 1.1980, price crossing jaws from 1.1995 to 1.2005, AO at 0.0005 (prior -0.0003), and green AC triggers a buy at 1.2007, like spotting a bullish reversal.

Phase 4: Managing Positions—Closing Opposite Trades

With trades open, we manage positions by closing opposites on AO reversals, like adjusting sails to market winds.

void OnTick(){
   // ... (signal detection)
      if (ao_values[1] < 0 && ao_values[2] > 0){
         if (PositionsTotal() > 0){
            Print("CLOSE ALL BUY POSITIONS");
            for (int i=0; i<PositionsTotal(); i++){
               ulong pos_ticket = PositionGetTicket(i);
               if (pos_ticket > 0 && PositionSelectByTicket(pos_ticket)){
                  ENUM_POSITION_TYPE pos_type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE);
                  if (pos_type == POSITION_TYPE_BUY){
                     obj_Trade.PositionClose(pos_ticket);
                  }
               }
            }
         }
      }
      else if (ao_values[1] > 0 && ao_values[2] < 0){
         if (PositionsTotal() > 0){
            Print("CLOSE ALL SELL POSITIONS");
            for (int i=0; i<PositionsTotal(); i++){
               ulong pos_ticket = PositionGetTicket(i);
               if (pos_ticket > 0 && PositionSelectByTicket(pos_ticket)){
                  ENUM_POSITION_TYPE pos_type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE);
                  if (pos_type == POSITION_TYPE_SELL){
                     obj_Trade.PositionClose(pos_ticket);
                  }
               }
            }
         }
      }
}

In the position management hub, "OnTick()" checks AO reversals. If AO crosses below zero ("ao_values[1] < 0", "ao_values[2] > 0"), it closes all buys ("PositionsTotal()", "PositionGetTicket()", "PositionSelectByTicket()", "obj_Trade.PositionClose()", "POSITION_TYPE_BUY"), logging with "Print()". If AO crosses above zero, it closes sells ("POSITION_TYPE_SELL"). For example, on EURUSD H1, AO dropping from 0.0003 to -0.0005 closes all buy positions, like realigning with bearish momentum.

Phase 5: Shutting Down the System—Cleaning Up Resources

As our expedition concludes, we shut down the system, ensuring resources are cleared.

void OnDeinit(const int reason){
}

In the shutdown control room, "OnDeinit()" is empty, leaving indicators on the chart, like an active navigation system. Adding cleanup would ensure a clean slate:

IndicatorRelease(handle_Fractals);
IndicatorRelease(handle_Alligator);
IndicatorRelease(handle_AO);
IndicatorRelease(handle_AC);
ArrayFree(fractals_up);
ArrayFree(fractals_down);
ArrayFree(alligator_jaws);
ArrayFree(alligator_teeth);
ArrayFree(alligator_lips);
ArrayFree(ao_values);
ArrayFree(ac_color);

This would release handles ("IndicatorRelease()") and free arrays ("ArrayFree()") for "fractals_up", "alligator_jaws", etc., like dismantling a navigation system, ready for the next task.

Why This EA is a Chaos Navigation Triumph

The Profitunity Trading EA is a chaos-trading triumph, automating trend reversals with precision, like a master-crafted navigation engine. Its multi-indicator signals ("iFractals()", "iAlligator()", "iAO()", "iAC()") and dynamic closures ("obj_Trade.PositionClose()") offer robust momentum capture, with potential for stop losses or magic numbers. Picture a buy on EURUSD at 1.2007 after a fractal break—strategic brilliance! Beginners will value the clear signals, while experts can refine its high-risk framework, making it essential for chaos traders.

Putting It All Together

To deploy this EA:

1. Open MetaEditor in MetaTrader 5, like entering your chaos navigation control room.

2. Copy the code, compile with F5, and verify no errors—no navigator wants a faulty system!

3. Attach the EA to your chart, enable AutoTrading, and watch it execute Profitunity trades.

4. Monitor logs (e.g., “BUY SIGNAL GENERATED”) for trade tracking, like navigation diagnostics.

5. Test on a demo account first—real capital deserves a trial run!

Conclusion

We’ve engineered a Profitunity Chaos Trader that automates trend trading with precision, like a master-crafted navigation system. This MQL5 code is your strategic tool, brought to life with a seamless, professional narrative packed with clear explanations and vivid examples to fuel your trading ambition. Whether you’re a novice navigator or a seasoned market strategist, this EA empowers you to conquer chaos with confidence. Ready to trade? Watch our video guide on the website for a step-by-step creation process. Now, navigate your trading future with precision! 🔍

Disclaimer: Trading is like navigating complex markets—challenging and risky. Losses can exceed deposits. Test strategies on a demo account before going live.