FreelanceKategorien

“Seeking EA Developer for Automated NAS100 Trading with News Filter and Breakout Strategy”

MQL5 Experten Debugging eines Roboters/Indikators

Spezifikation

This is what I got so far with deepseek: Could you create an Expert Advisor (EA) based on the following detailed trading strategy?

1. Risk-to-Reward Ratio
• The EA should maintain a minimum risk-to-reward ratio of 5:1.
• I am willing to risk no more than 1% of my total account size per trade.

2. News Avoidance and Timing Adjustments
• The EA should automatically avoid trading during major and medium-impact news events by integrating an economic calendar or news filter.
• Key Rules Regarding News:
• If news events occur between 7:30 AM and 9:00 AM CST (Central Standard Time), the EA must wait for the news to take place and only start trading 15 minutes after the last news event.
• If news candles break the initial 2:00 AM–7:00 AM range:
• If the highs of the initial range are broken, the EA can trade breakouts of the news candle highs (in the direction of the broken range) or breakouts of the initial range lows (in the opposite direction).
• If the lows of the initial range are broken, the EA can trade breakouts of the news candle lows (in the direction of the broken range) or breakouts of the initial range highs (in the opposite direction).
• If the news candles do not break either side of the initial range, the EA can still trade breakouts of the unbroken side of the initial range, provided a 5-minute full-body candle breaks the range.
• No trades should be entered after 12:00 PM CST.

3. Trading Instrument and Timeframe
• The EA will trade the NAS100 index on the 5-minute timeframe.
• The initial price range to monitor is the range established between 2:00 AM and 7:00 AM CST (adjusted to align with my broker’s timezone of GMT+2).
• The range is defined by the highest and lowest points of the candle bodies (excluding wicks) during this period.

4. Entry Criteria
• The EA should place trades only when the range is broken by a full-body candle closure.
• A full-body candle is defined as one with at least a 70% body-to-wick ratio.
• Trade logic:
• If the initial range is broken by news candles, you can trade both in the direction of the news breakout (either highs or lows of the news candles) or in the opposite direction of the breakout (the unbroken side of the original range).
• If the news candles do not break the range, the EA can trade the breakout of the unbroken side of the original range using a 5-minute full-body candle.

5. Stop-Loss and Take-Profit Rules
• Initial Stop-Loss: 25 points.
• Take-Profit Target: 125 points.
• Break-Even Rule: Once the price moves 50 points in profit, the stop-loss should automatically be moved to breakeven.

6. Example Trade Setup
• I have attached an example image of a trade setup for reference.

7. Broker Timezone and Adjustments
• My broker’s timezone is GMT+2, while my local time is CST (Central Standard Time). Please ensure the range calculations are adjusted accordingly (i.e., 2:00 AM to 7:00 AM CST).

Could you ensure the EA incorporates these details, especially the logic for trading the opposite direction of the news candles as well as the unbroken side of the initial range? Let me know if anything needs further clarification! Here's a conceptual outline for the Expert Advisor (EA) based on your strategy. Note that full implementation requires integration with an economic calendar (external service) and thorough backtesting:

```mq4
//+------------------------------------------------------------------+
//|                                              NAS100_NewsEA.mq4   |
//|                        Copyright 2023, Your Company Name         |
//|                                        https://www.yourdomain.com|
//+------------------------------------------------------------------+
#property copyright "Copyright 2023"
#property version   "1.00"
#property strict

//--- Input Parameters
input double RiskPercent     = 1.0;     // Risk per trade (%)
input int    StopLossPoints  = 25;      // SL (points)
input int    TakeProfitPoints= 125;     // TP (points)
input int    BreakEvenPoints = 50;      // BE at (points)

//--- Global Variables
double initialRangeHigh, initialRangeLow;
datetime newsAvoidStart, newsAvoidEnd;
bool rangeBroken = false;

//+------------------------------------------------------------------+
//| Expert initialization function                                   |
//+------------------------------------------------------------------+
int OnInit()
{
   DetermineInitialRange();
   DetermineNewsPeriods(); // Requires integration with news source
   return(INIT_SUCCEEDED);
}

//+------------------------------------------------------------------+
//| Expert tick function                                             |
//+------------------------------------------------------------------+
void OnTick()
{
   if(!IsTradingAllowed()) return;
   
   static datetime lastBarTime;
   if(Time[0] == lastBarTime) return;
   lastBarTime = Time[0];
   
   CheckTradingConditions();
   ManageOpenPositions();
}

//+------------------------------------------------------------------+
//| Determine Initial Price Range                                    |
//+------------------------------------------------------------------+
void DetermineInitialRange()
{
   datetime cstStart = ConvertCSTToServer(2, 0);   // 2:00 AM CST
   datetime cstEnd = ConvertCSTToServer(7, 0);     // 7:00 AM CST
   
   initialRangeHigh = 0;
   initialRangeLow = EMPTY_VALUE;
   
   for(int i = iBarShift(NULL, 0, cstStart); i >= iBarShift(NULL, 0, cstEnd); i--)
   {
      double bodyHigh = MathMax(Open[i], Close[i]);
      double bodyLow = MathMin(Open[i], Close[i]);
      
      if(bodyHigh > initialRangeHigh) initialRangeHigh = bodyHigh;
      if(bodyLow < initialRangeLow) initialRangeLow = bodyLow;
   }
}

//+------------------------------------------------------------------+
//| Check Trading Conditions                                         |
//+------------------------------------------------------------------+
void CheckTradingConditions()
{
   // Check news impact
   if(IsNewsEvent()) return;
   
   // Check trading hours
   if(TimeCurrent() > ConvertCSTToServer(12, 0)) return; // 12:00 PM CST
   
   // Check breakout conditions
   CheckRangeBreakouts();
}

//+------------------------------------------------------------------+
//| Range Breakout Logic                                             |
//+------------------------------------------------------------------+
void CheckRangeBreakouts()
{
   // Check for valid breakout candle
   if(IsFullBodyCandle(0))
   {
      // Bullish breakout
      if(Close[0] > initialRangeHigh && !rangeBroken)
      {
         OpenTrade(OP_BUY);
         rangeBroken = true;
      }
      // Bearish breakout
      else if(Close[0] < initialRangeLow && !rangeBroken)
      {
         OpenTrade(OP_SELL);
         rangeBroken = true;
      }
   }
}

//+------------------------------------------------------------------+
//| Trade Management                                                 |
//+------------------------------------------------------------------+
void OpenTrade(int cmd)
{
   double lots = CalculateLots();
   int ticket = OrderSend(_Symbol, cmd, lots, 
                         cmd == OP_BUY ? Ask : Bid, 
                         3, 0, 0, "NewsBreakout", 0);
   
   if(ticket > 0)
   {
      double sl = cmd == OP_BUY ? Bid - StopLossPoints*Point : Ask + StopLossPoints*Point;
      double tp = cmd == OP_BUY ? Bid + TakeProfitPoints*Point : Ask - TakeProfitPoints*Point;
      OrderModify(ticket, 0, sl, tp, 0);
   }
}

//+------------------------------------------------------------------+
//| Money Management                                                 |
//+------------------------------------------------------------------+
double CalculateLots()
{
   double riskAmount = AccountBalance() * RiskPercent / 100;
   double tickValue = MarketInfo(_Symbol, MODE_TICKVALUE);
   return NormalizeDouble(riskAmount / (StopLossPoints * tickValue), 2);
}

//+------------------------------------------------------------------+
//| News Handling Functions (Placeholder - Requires Implementation)  |
//+------------------------------------------------------------------+
bool IsNewsEvent()
{
   // Requires integration with news API/calendar
   return false;
}

datetime ConvertCSTToServer(int hour, int minute)
{
   // CST to GMT+2 conversion (requires DST handling)
   return StrToTime(TimeToStr(TimeCurrent() - (8 * 3600) + (hour * 3600) + (minute * 60)));
}

//+------------------------------------------------------------------+
//| Additional Required Functions                                    |
//+------------------------------------------------------------------+
bool IsFullBodyCandle(int bar)
{
   double body = MathAbs(Close[bar] - Open[bar]);
   double range = High[bar] - Low[bar];
   return (range > 0) && (body/range >= 0.7);
}

void ManageOpenPositions()
{
   for(int i = OrdersTotal()-1; i >= 0; i--)
   {
      if(OrderSelect(i, SELECT_BY_POS))
      {
         if(OrderProfit() >= BreakEvenPoints*Point)
         {
            if(OrderStopLoss() != OrderOpenPrice())
               OrderModify(OrderTicket(), OrderOpenPrice(), OrderOpenPrice(), OrderTakeProfit(), 0);
         }
      }
   }
}
```

**Important Notes:**

1. **News Integration Required:** The `IsNewsEvent()` function needs integration with an economic calendar API (e.g., Forex Factory, FXCM API). This is not implemented here due to platform limitations.

2. **Time Zone Handling:** The `ConvertCSTToServer()` function assumes a fixed 8-hour offset. You may need to adjust for daylight saving time changes.

3. **Range Calculation:** The EA calculates the initial range using the first 5-minute bars of the trading day.

4. **Risk Management:** Position sizing automatically calculates based on 1% risk and 25-point stop loss.

5. **Order Management:** Implements break-even functionality at 50 points profit.

For a complete implementation, you would need to:

1. Integrate a news feed API
2. Implement proper timezone conversion with DST handling
3. Add error handling for order operations
4. Implement the counter-trend trading logic described
5. Add comprehensive logging and debugging features

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