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GridMart Scalper Trading System in MQL5

Allan Munene Mutiiria 2025-06-22 02:13:38 313 Views
This article details the MQL5 code for the GridMart Scalper EA, automating grid-martingale trades on...

Introduction

Picture yourself as a master scalper, executing rapid trades with the precision of a seasoned market operator, capitalizing on fleeting price movements. The GridMart Scalper MT5 EA is your advanced trading engine, designed to automate a grid-martingale strategy that targets small profits through price reversals. Triggered by consecutive bar closes in opposite directions ("iClose()"), it opens 0.01-lot trades ("BASE_LOT"=0.01) with a 3-pip take profit ("TAKE_PROFIT_PIPS"=3) and 100-pip stop loss ("STOP_LOSS_PIPS"=100). If prices move against the trade by 3 pips ("GRID_DISTANCE"=3.0), it adds trades with lots multiplied by 1.3 ("LOT_MULTIPLIER"=1.3) up to 30 levels ("MAX_GRID_LEVELS"=30), adjusting a weighted breakeven take profit and stop loss ("weightedPrice", "targetTP", "targetSL"). A draggable dashboard ("UpdateDashboard()") displays real-time metrics like equity, profit, and active lots, with risk controls like daily drawdown limits ("DRAWDOWN_LIMIT"=-1.0). This high-risk EA suits traders scalping volatile markets with robust capital management.

This article is crafted with a professional, engaging, and seamless narrative, flowing like a well-calibrated trading 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 scalper through a rapid trading project. With vivid examples—like scalping EURUSD—and a polished tone, we’ll explore how the EA initializes, detects signals, manages grids, and ensures cleanup. Using a precision market scalping metaphor, this guide will illuminate the code’s technical rigor, empowering you to scalp markets with confidence. Let’s activate the system and begin this trading expedition!

Strategy Blueprint

Let’s outline the EA’s scalping framework, like drafting specifications for a rapid trading system:

  • Signal Detection: Triggers 0.01-lot buys/sells ("BASE_LOT") on price reversals when consecutive bars close oppositely ("iClose()"), using "openNewTrade".

  • Grid Management: Adds trades at 3-pip intervals ("GRID_DISTANCE") with lots multiplied by 1.3 ("LOT_MULTIPLIER") up to 30 levels ("MAX_GRID_LEVELS", "activeOrders"), via "PlaceOrder()".

  • Profit Targeting: Sets weighted breakeven take profit at 3 pips ("TAKE_PROFIT_PIPS", "targetTP") and stop loss at 100 pips ("STOP_LOSS_PIPS", "targetSL") for all trades, using "CalculateTP()", "CalculateSL()".

  • Risk Control: Limits cycles ("MAX_CYCLES"=100, "cycleCount") and drawdown ("ENABLE_DAILY_DRAWDOWN", "DRAWDOWN_LIMIT") with "MonitorDailyDrawdown()".

  • Dashboard: Displays metrics like balance and lots ("UpdateDashboard()", "GetActiveLotSizes()") with draggable interface ("panelStartX", "panelStartY").

  • Enhancements: Adjustable grid distances or volatility filters could refine precision. This framework automates scalping with precision, balancing rapid gains with risk controls.

Code Implementation

Let’s step into the scalping control room and dissect the MQL5 code that powers this GridMart Scalper MT5 EA. We’ll guide you through each phase like expert scalpers, ensuring the narrative flows seamlessly with professional clarity and engaging precision that captivates readers. We’ll cover initialization, signal detection, grid management, risk control, dashboard display, and cleanup, with detailed explanations and examples—like scalping 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 scalping project. Let’s power up the system and begin!

Phase 1: Constructing the Framework—Initialization

We start by building the scalping system, initializing settings and the dashboard to prepare for rapid trades.

//+------------------------------------------------------------------+
//|                                      GridMart Scalper MT5 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;

double dailyBalance = 0;
datetime dailyResetTime = 0;
bool tradingEnabled = true;
datetime lastBarTime = 0;
bool hasBuyPosition = false;
bool hasSellPosition = false;
bool openNewTrade = false;
int activeOrders = 0;
double latestBuyPrice = 0;
double latestSellPrice = 0;
double calculatedLot = 0;
bool modifyPositions = false;
double weightedPrice = 0;
double targetTP = 0;
double targetSL = 0;
bool updateSLTP = false;
int cycleCount = 0;
double totalVolume = 0;
bool dashboardVisible = true;
bool panelDragging = false;
int panelDragX = 0;
int panelDragY = 0;
int panelStartX = 0;
int panelStartY = 0;
bool closeButtonHovered = false;
bool headerHovered = false;

input group "Main EA Settings"
input string EA_NAME = "GridMart Scalper";
input bool CONTINUE_TRADING = true;
input int MAX_CYCLES = 100;
input int START_HOUR = 0;
input int END_HOUR = 23;
input int LOT_MODE = 1;
input double BASE_LOT = 0.01;
input int STOP_LOSS_PIPS = 100;
input int TAKE_PROFIT_PIPS = 3;
input double GRID_DISTANCE = 3.0;
input double LOT_MULTIPLIER = 1.3;
input int MAX_GRID_LEVELS = 30;
input int LOT_PRECISION = 2;
input int MAGIC = 1234567890;
input color TEXT_COLOR = clrWhite;

input group "EA Risk Management Settings"
input bool ENABLE_DAILY_DRAWDOWN = false;
input double DRAWDOWN_LIMIT = -1.0;
input bool CLOSE_ON_DRAWDOWN = false;

input group "Dashboard Settings"
input int PANEL_X = 30;
input int PANEL_Y = 50;

double pipValue;

int OnInit(){
   pipValue = (_Digits == 3 || _Digits == 5) ? 10.0 * Point() : Point();
   obj_Trade.SetExpertMagicNumber(MAGIC);
   dashboardVisible = true;
   panelStartX = PANEL_X;
   panelStartY = PANEL_Y;
   UpdateDashboard();
   ChartSetInteger(0,CHART_EVENT_MOUSE_MOVE,true);
   return INIT_SUCCEEDED;
}

The system begins with the #property header, establishing copyright and contact details, like calibrating a scalping system’s core. The "OnInit()" function initializes the setup, including "Trade/Trade.mqh" for trading via "obj_Trade", setting the magic number ("MAGIC"=1234567890) with "SetExpertMagicNumber()". Inputs configure trading: "EA_NAME", "CONTINUE_TRADING"=true, "MAX_CYCLES"=100, "START_HOUR"=0, "END_HOUR"=23, "LOT_MODE"=1, "BASE_LOT"=0.01, "STOP_LOSS_PIPS"=100, "TAKE_PROFIT_PIPS"=3, "GRID_DISTANCE"=3.0, "LOT_MULTIPLIER"=1.3, "MAX_GRID_LEVELS"=30, "LOT_PRECISION"=2, and dashboard position ("PANEL_X"=30, "PANEL_Y"=50). Variables track state ("dailyBalance", "tradingEnabled", "activeOrders", etc.), and "pipValue" adjusts for symbol digits. The dashboard is initialized ("dashboardVisible"=true, "UpdateDashboard()") with mouse events enabled ("ChartSetInteger()"). Returning INIT_SUCCEEDED signals, “System is ready, let’s scalp!” This primes the EA for rapid trading, like a scalping tool poised for action.

Phase 2: Mapping Scalping Signals—Detecting Price Reversals

With the system active, we detect price reversals to trigger trades, like scanning for quick market shifts.

void OnTick(){
   double ask = NormalizeDouble(SymbolInfoDouble(_Symbol,SYMBOL_ASK),_Digits);
   double bid = NormalizeDouble(SymbolInfoDouble(_Symbol,SYMBOL_BID),_Digits);
   if (ENABLE_DAILY_DRAWDOWN) MonitorDailyDrawdown();
   if (dashboardVisible) UpdateDashboard();
   if (IsTradingAllowed()){
      datetime currentBarTime = iTime(_Symbol,_Period,0);
      if (lastBarTime == currentBarTime) return;
      lastBarTime = currentBarTime;
      activeOrders = CountActiveOrders();
      if (activeOrders == 0) updateSLTP = false;
      hasBuyPosition = false;
      hasSellPosition = false;
      for (int i=PositionsTotal()-1; i>=0; i--){
         ulong ticket = PositionGetTicket(i);
         if (PositionSelectByTicket(ticket) && GetPositionSymbol()==_Symbol && GetPositionMagic()==MAGIC){
            if (GetPositionType()==POSITION_TYPE_BUY){
               hasBuyPosition = true;
               hasSellPosition = false;
               break;
            }
            else if (GetPositionType()==POSITION_TYPE_SELL){
               hasSellPosition = true;
               hasBuyPosition = false;
               break;
            }
         }
      }
      if (activeOrders > 0 && activeOrders <= MAX_GRID_LEVELS){
         latestBuyPrice = GetLatestBuyPrice();
         latestSellPrice = GetLatestSellPrice();
         if (hasBuyPosition && latestBuyPrice - ask >= GRID_DISTANCE*pipValue) openNewTrade = true;
         if (hasSellPosition && bid - latestSellPrice >= GRID_DISTANCE*pipValue) openNewTrade = true;
      }
      if (activeOrders < 1){
         hasBuyPosition = false;
         hasSellPosition = false;
         openNewTrade = true;
      }

In the signal mapping hub, "OnTick()" runs every tick, fetching "ask" and "bid" with "SymbolInfoDouble()", "NormalizeDouble()". It monitors drawdown ("MonitorDailyDrawdown()") if enabled ("ENABLE_DAILY_DRAWDOWN") and updates the dashboard ("UpdateDashboard()") if visible ("dashboardVisible"). If trading is allowed ("IsTradingAllowed()", always true), it checks for new bars ("iTime()", "lastBarTime"), exiting if none. It counts orders ("CountActiveOrders()") and resets "updateSLTP" if none. It scans positions ("PositionsTotal()", "PositionGetTicket()") to set "hasBuyPosition" or "hasSellPosition", exiting after finding one. If "activeOrders" is within "MAX_GRID_LEVELS"=30, it checks for grid expansion ("GRID_DISTANCE"=3.0 pips) using "latestBuyPrice", "latestSellPrice" from "GetLatestBuyPrice()", "GetLatestSellPrice()", setting "openNewTrade"=true. Without orders, it signals a new trade. For example, on EURUSD M5, a buy at 1.2000 with ask dropping to 1.1997 triggers "openNewTrade", like spotting a scalping opportunity.

Phase 3: Executing Rapid Trades—Opening and Scaling Grids

With signals detected, we execute trades and scale grids, like striking swiftly in the market.

void OnTick(){
   // ... (signal detection)
   if (openNewTrade){
      latestBuyPrice = GetLatestBuyPrice();
      latestSellPrice = GetLatestSellPrice();
      if (hasSellPosition){
         calculatedLot = CalculateLotSize(POSITION_TYPE_SELL);
         if (calculatedLot > 0 && tradingEnabled){
            int ticket = PlaceOrder(ORDER_TYPE_SELL,calculatedLot,bid,ask,activeOrders);
            if (ticket < 0){
               Print("Sell Order Error: ",GetLastError());
               return;
            }
            latestSellPrice = GetLatestSellPrice();
            openNewTrade = false;
            modifyPositions = true;
         }
      }
      else if (hasBuyPosition){
         calculatedLot = CalculateLotSize(POSITION_TYPE_BUY);
         if (calculatedLot > 0 && tradingEnabled){
            int ticket = PlaceOrder(ORDER_TYPE_BUY,calculatedLot,ask,bid,activeOrders);
            if (ticket < 0){
               Print("Buy Order Error: ",GetLastError());
               return;
            }
            latestBuyPrice = GetLatestBuyPrice();
            openNewTrade = false;
            modifyPositions = true;
         }
      }
      MqlDateTime timeStruct;
      TimeCurrent(timeStruct);
      if (timeStruct.hour >= START_HOUR && timeStruct.hour < END_HOUR && cycleCount < MAX_CYCLES && CONTINUE_TRADING && openNewTrade && activeOrders < 1){
         double closePrev = iClose(_Symbol,PERIOD_CURRENT,2);
         double closeCurrent = iClose(_Symbol,PERIOD_CURRENT,1);
         if (!hasSellPosition && !hasBuyPosition){
            if (closePrev > closeCurrent){
               calculatedLot = CalculateLotSize(POSITION_TYPE_SELL);
               if (calculatedLot > 0 && tradingEnabled){
                  int ticket = PlaceOrder(ORDER_TYPE_SELL,calculatedLot,bid,bid,activeOrders);
                  if (ticket < 0){
                     Print("Sell Order Error: ",GetLastError());
                     return;
                  }
                  cycleCount++;
                  latestBuyPrice = GetLatestBuyPrice();
                  modifyPositions = true;
               }
            }
            else {
               calculatedLot = CalculateLotSize(POSITION_TYPE_BUY);
               if (calculatedLot > 0 && tradingEnabled){
                  int ticket = PlaceOrder(ORDER_TYPE_BUY,calculatedLot,ask,ask,activeOrders);
                  if (ticket < 0){
                     Print("Buy Order Error: ",GetLastError());
                     return;
                  }
                  cycleCount++;
                  latestSellPrice = GetLatestSellPrice();
                  modifyPositions = true;
               }
            }
         }
      }

In the trade execution hub, "OnTick()" processes "openNewTrade". For existing sells, it calculates the lot size ("CalculateLotSize()", "LOT_MODE"=1, "LOT_MULTIPLIER"=1.3) and places a sell order with "PlaceOrder()", setting "latestSellPrice", clearing "openNewTrade", and signaling "modifyPositions"=true. Buys mirror this. Without positions, within trading hours ("START_HOUR"=0, "END_HOUR"=23), cycle limits ("MAX_CYCLES"=100), and "CONTINUE_TRADING"=true, it checks "iClose()" for reversals ("closePrev > closeCurrent" for sells, else buys), opening trades with "PlaceOrder()", incrementing "cycleCount". For example, on EURUSD M5, a sell at 1.2000 adds a 0.013-lot sell at 1.2003, like scaling a scalping strike.

Phase 4: Managing the Grid—Adjusting SL/TP

With grids active, we adjust stop losses and take profits, like fine-tuning a scalping operation.

void OnTick(){
   // ... (trade execution)
   activeOrders = CountActiveOrders();
   weightedPrice = 0;
   totalVolume = 0;
   for (int i=PositionsTotal()-1; i>=0; i--){
      ulong ticket = PositionGetTicket(i);
      if (PositionSelectByTicket(ticket) && GetPositionSymbol()==_Symbol && GetPositionMagic()==MAGIC){
         weightedPrice += GetPositionOpenPrice()*PositionGetDouble(POSITION_VOLUME);
         totalVolume += PositionGetDouble(POSITION_VOLUME);
      }
   }
   if (activeOrders > 0) weightedPrice = NormalizeDouble(weightedPrice/totalVolume,_Digits);
   if (modifyPositions){
      for (int i=PositionsTotal()-1; i>=0; i--){
         ulong ticket = PositionGetTicket(i);
         if (PositionSelectByTicket(ticket) && GetPositionSymbol()==_Symbol && GetPositionMagic()==MAGIC){
            if (GetPositionType()==POSITION_TYPE_BUY){
               targetTP = weightedPrice + TAKE_PROFIT_PIPS*pipValue;
               targetSL = weightedPrice - STOP_LOSS_PIPS*pipValue;
               updateSLTP = true;
            }
            else if (GetPositionType()==POSITION_TYPE_SELL){
               targetTP = weightedPrice - TAKE_PROFIT_PIPS*pipValue;
               targetSL = weightedPrice + STOP_LOSS_PIPS*pipValue;
               updateSLTP = true;
            }
         }
      }
   }
   if (modifyPositions && updateSLTP){
      for (int i=PositionsTotal()-1; i>=0; i--){
         ulong ticket = PositionGetTicket(i);
         if (PositionSelectByTicket(ticket) && GetPositionSymbol()==_Symbol && GetPositionMagic()==MAGIC){
            if (obj_Trade.PositionModify(ticket,targetSL,targetTP)){
               modifyPositions = false;
            }
         }
      }
   }
}

In the grid management hub, "OnTick()" recalculates "activeOrders", computing "weightedPrice" as the volume-weighted average ("PositionGetDouble(POSITION_VOLUME)", "GetPositionOpenPrice()") via "totalVolume". If "modifyPositions"=true, it sets "targetTP" (3 pips from "weightedPrice", "TAKE_PROFIT_PIPS") and "targetSL" (100 pips, "STOP_LOSS_PIPS") for buys or sells, signaling "updateSLTP"=true. It then modifies positions with "obj_Trade.PositionModify()", clearing "modifyPositions". For example, a EURUSD buy grid at 1.2000 and 1.1997 (weighted 1.19985) sets "targetTP"=1.20015, "targetSL"=1.18985, like optimizing a scalping net.

Phase 5: Securing Control—Dashboard and Risk Management

We monitor trades with a dashboard and enforce risk limits, like overseeing a scalping operation.

void UpdateDashboard(){
   if (!dashboardVisible) return;
   CreateRectangle("Dashboard",panelStartX,panelStartY,DASHBOARD_WIDTH,DASHBOARD_HEIGHT,BACKGROUND_COLOR,BORDER_COLOR);
   CreateRectangle("Header",panelStartX,panelStartY,DASHBOARD_WIDTH,HEADER_HEIGHT,headerHovered ? HEADER_HOVER_COLOR : HEADER_NORMAL_COLOR,BORDER_COLOR);
   CreateTextLabel("HeaderText",panelStartX+10,panelStartY+8,EA_NAME,clrBlack,FONT_SIZE_HEADER,"Arial Bold");
   CreateButton("CloseButton",CharToString(122),panelStartX+DASHBOARD_WIDTH-CLOSE_BUTTON_WIDTH,panelStartY+1,CLOSE_BUTTON_WIDTH,CLOSE_BUTTON_HEIGHT,clrWhite,closeButtonHovered ? CLOSE_BUTTON_HOVER_BG : CLOSE_BUTTON_NORMAL_BG,FONT_SIZE_BUTTON,closeButtonHovered ? CLOSE_BUTTON_HOVER_BORDER : CLOSE_BUTTON_NORMAL_BORDER,false,"Wingdings");
   int sectionY = panelStartY+HEADER_HEIGHT+15;
   int labelXLeft = panelStartX+15;
   int valueXRight = panelStartX+160;
   int rowHeight = 15;
   double profit = CalculateTotalProfit();
   color profitColor = (profit > 0) ? VALUE_POSITIVE_COLOR : (profit < 0) ? VALUE_LOSS_COLOR : TEXT_COLOR;
   double equity = AccountInfoDouble(ACCOUNT_EQUITY);
   double balance = AccountInfoDouble(ACCOUNT_BALANCE);
   color equityColor = (equity > balance) ? VALUE_POSITIVE_COLOR : (equity < balance) ? VALUE_NEGATIVE_COLOR : TEXT_COLOR;
   color balanceColor = (balance > dailyBalance) ? VALUE_POSITIVE_COLOR : (balance < dailyBalance) ? VALUE_NEGATIVE_COLOR : TEXT_COLOR;
   color ordersColor = (activeOrders > 0) ? VALUE_ACTIVE_COLOR : TEXT_COLOR;
   color drawdownColor = tradingEnabled ? VALUE_DRAWDOWN_INACTIVE : VALUE_DRAWDOWN_ACTIVE;
   color lotsColor = (activeOrders > 0) ? VALUE_ACTIVE_COLOR : TEXT_COLOR;
   double spread = (ask-bid)/Point();
   string spreadDisplay = DoubleToString(spread,1);
   color spreadColor = (spread <= 2.0) ? VALUE_POSITIVE_COLOR : (spread <= 5.0) ? VALUE_ACTIVE_COLOR : VALUE_NEGATIVE_COLOR;
   CreateTextLabel("SectionAccount",labelXLeft,sectionY,"Account Information",SECTION_TITLE_COLOR,FONT_SIZE_SECTION_TITLE,"Arial Bold");
   sectionY += rowHeight+5;
   CreateTextLabel("AccountNumberLabel",labelXLeft,sectionY,"Account:",TEXT_COLOR,FONT_SIZE_METRIC);
   CreateTextLabel("AccountNumberValue",valueXRight,sectionY,DoubleToString(AccountInfoInteger(ACCOUNT_LOGIN),0),TEXT_COLOR,FONT_SIZE_METRIC);
   sectionY += rowHeight;
   CreateTextLabel("AccountNameLabel",labelXLeft,sectionY,"Name:",TEXT_COLOR,FONT_SIZE_METRIC);
   CreateTextLabel("AccountNameValue",valueXRight,sectionY,AccountInfoString(ACCOUNT_NAME),TEXT_COLOR,FONT_SIZE_METRIC);
   sectionY += rowHeight;
   CreateTextLabel("LeverageLabel",labelXLeft,sectionY,"Leverage:",TEXT_COLOR,FONT_SIZE_METRIC);
   CreateTextLabel("LeverageValue",valueXRight,sectionY,"1:"+DoubleToString(AccountInfoInteger(ACCOUNT_LEVERAGE),0),TEXT_COLOR,FONT_SIZE_METRIC);
   sectionY += rowHeight;
   CreateTextLabel("SectionMarket",labelXLeft,sectionY,"Market Information",SECTION_TITLE_COLOR,FONT_SIZE_SECTION_TITLE,"Arial Bold");
   sectionY += rowHeight+5;
   CreateTextLabel("SpreadLabel",labelXLeft,sectionY,"Spread:",TEXT_COLOR,FONT_SIZE_METRIC);
   CreateTextLabel("SpreadValue",valueXRight,sectionY,spreadDisplay,spreadColor,FONT_SIZE_METRIC);
   sectionY += rowHeight;
   CreateTextLabel("SectionTrading",labelXLeft,sectionY,"Trading Statistics",SECTION_TITLE_COLOR,FONT_SIZE_SECTION_TITLE,"Arial Bold");
   sectionY += rowHeight+5;
   CreateTextLabel("BalanceLabel",labelXLeft,sectionY,"Balance:",TEXT_COLOR,FONT_SIZE_METRIC);
   CreateTextLabel("BalanceValue",valueXRight,sectionY,DoubleToString(balance,2),balanceColor,FONT_SIZE_METRIC);
   sectionY += rowHeight;
   CreateTextLabel("EquityLabel",labelXLeft,sectionY,"Equity:",TEXT_COLOR,FONT_SIZE_METRIC);
   CreateTextLabel("EquityValue",valueXRight,sectionY,DoubleToString(equity,2),equityColor,FONT_SIZE_METRIC);
   sectionY += rowHeight;
   CreateTextLabel("ProfitLabel",labelXLeft,sectionY,"Profit:",TEXT_COLOR,FONT_SIZE_METRIC);
   CreateTextLabel("ProfitValue",valueXRight,sectionY,DoubleToString(profit,2),profitColor,FONT_SIZE_METRIC);
   sectionY += rowHeight;
   CreateTextLabel("OrdersLabel",labelXLeft,sectionY,"Open Orders:",TEXT_COLOR,FONT_SIZE_METRIC);
   CreateTextLabel("OrdersValue",valueXRight,sectionY,IntegerToString(activeOrders),ordersColor,FONT_SIZE_METRIC);
   sectionY += rowHeight;
   CreateTextLabel("DrawdownLabel",labelXLeft,sectionY,"Drawdown Active:",TEXT_COLOR,FONT_SIZE_METRIC);
   CreateTextLabel("DrawdownValue",valueXRight,sectionY,tradingEnabled ? "No" : "Yes",drawdownColor,FONT_SIZE_METRIC);
   sectionY += rowHeight;
   CreateTextLabel("ActiveLotsLabel",labelXLeft,sectionY,"Active Lots:",TEXT_COLOR,FONT_SIZE_METRIC);
   CreateTextLabel("ActiveLotsValue",valueXRight,sectionY,GetActiveLotSizes(),lotsColor,FONT_SIZE_METRIC);
   ChartRedraw(0);
}

void MonitorDailyDrawdown(){
   double totalDayProfit = 0.0;
   datetime end = TimeCurrent();
   string sdate = TimeToString(TimeCurrent(),TIME_DATE);
   datetime start = StringToTime(sdate);
   datetime to = start+(1*24*60*60);
   if (dailyResetTime < to){
      dailyResetTime = to;
      dailyBalance = GetAccountBalance();
   }
   HistorySelect(start,end);
   int totalDeals = HistoryDealsTotal();
   for (int i=0; i<totalDeals; i++){
      ulong ticket = HistoryDealGetTicket(i);
      if (HistoryDealGetInteger(ticket,DEAL_ENTRY)==DEAL_ENTRY_OUT){
         double latestDayProfit = (HistoryDealGetDouble(ticket,DEAL_PROFIT)+
                                  HistoryDealGetDouble(ticket,DEAL_COMMISSION)+
                                  HistoryDealGetDouble(ticket,DEAL_SWAP));
         totalDayProfit += latestDayProfit;
      }
   }
   double startingBalance = GetAccountBalance()-totalDayProfit;
   double dailyProfitOrDrawdown = NormalizeDouble((totalDayProfit*100/startingBalance),2);
   if (dailyProfitOrDrawdown <= DRAWDOWN_LIMIT){
      if (CLOSE_ON_DRAWDOWN) CloseAllPositions();
      tradingEnabled = false;
   }
   else tradingEnabled = true;
}

In the control hub, "UpdateDashboard()" renders a 300x260-pixel dashboard ("DASHBOARD_WIDTH", "DASHBOARD_HEIGHT") at "panelStartX", "panelStartY", using "CreateRectangle()", "CreateTextLabel()", "CreateButton()", "ObjectCreate()", "ObjectSetInteger()", "ObjectSetString()". It displays metrics like balance ("AccountInfoDouble()"), profit ("CalculateTotalProfit()", "PositionGetDouble(POSITION_PROFIT)"), and lots ("GetActiveLotSizes()") with dynamic colors ("VALUE_POSITIVE_COLOR", "VALUE_LOSS_COLOR"), draggable via "OnChartEvent()", "CHARTEVENT_MOUSE_MOVE". The "MonitorDailyDrawdown()" function calculates daily profit ("HistorySelect()", "HistoryDealGetDouble()") and disables trading ("tradingEnabled"=false) if drawdown exceeds "DRAWDOWN_LIMIT"=-1.0, closing positions ("CloseAllPositions()") if "CLOSE_ON_DRAWDOWN"=true. For example, a EURUSD grid with $100 loss hitting a -1% drawdown stops trading, with the dashboard showing “Drawdown Active: Yes” in red, like overseeing a scalping mission.

Phase 6: Shutting Down the System—Cleaning Up Resources

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

void OnDeinit(const int reason){
   ObjectsDeleteAll(0);
   ChartSetInteger(0,CHART_EVENT_MOUSE_MOVE,false);
}

In the shutdown control room, "OnDeinit()" removes all objects with "ObjectsDeleteAll()" and disables mouse events ("ChartSetInteger()", "CHARTEVENT_MOUSE_MOVE"), like dismantling a scalping system’s interface. This ensures a clean chart, ready for the next task. See below.

Why This EA is a Scalping Triumph

The GridMart Scalper MT5 EA is a high-risk scalping triumph, automating grid-martingale trades with precision, like a master-crafted trading engine. Its rapid signals ("openNewTrade", "iClose()"), dynamic grids ("PlaceOrder()", "CalculateLotSize()"), and interactive dashboard ("UpdateDashboard()") offer control, with potential for volatility filters or stop losses. Picture a EURUSD sell grid closing at 1.1997 for 3 pips—strategic brilliance! Beginners will value the clear metrics, while experts can refine its framework, making it essential for scalpers targeting quick gains.

Putting It All Together

To deploy this EA:

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

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

  3. Attach the EA to your chart, enable AutoTrading, and watch it open grid trades and display the dashboard.

  4. Monitor logs (e.g., “Sell Order Error: 4”) and the dashboard for trade tracking, like scalping diagnostics.

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

Conclusion

We’ve engineered a GridMart Scalper that automates rapid trades with precision, like a master-crafted scalping 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 scalper or a seasoned market operator, this EA empowers you to conquer quick profits with confidence. Ready to scalp? Watch our video guide on the website for a step-by-step creation process. Now, execute your trading strikes 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.

Disclaimer: The ideas and strategies presented in this resource are solely those of the author and are intended for informational and educational purposes only. They do not constitute financial advice, and past performance is not indicative of future results. All materials, including but not limited to text, images, files, and any downloadable content, are protected by copyright and intellectual property laws and are the exclusive property of Forex Algo-Trader or its licensors. Reproduction, distribution, modification, or commercial use of these materials without prior written consent from Forex Algo-Trader is strictly prohibited and may result in legal action. Users are advised to exercise extreme caution, perform thorough independent research, and consult with qualified financial professionals before implementing any trading strategies or decisions based on this resource, as trading in financial markets involves significant risk of loss.

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