Mt5 job (indian-Pakistan Developer preferable who can talk in hindi/urdu)

Develop an Expert Advisor for MetaTrader 5 that manages existing positions. Features Automatically detect all open positions. Apply Break-Even after price reaches a configurable profit. Partial Close: Close X% of volume at the first target. Move Stop Loss to Break-Even. ATR Trailing Stop (optional). Magic Number filter. Comment filter. Symbol filter. Trading session filter. Retry mechanism for trade operations

I have a fast execution ea that need a little touch, it trade on gold and my problem is about the risk ratio the tp is 3pip and stop loss 20 but i cannot get it right to make the average win larger and average loss lower. I would like to know if i can get help to get it right without touching the tragedy and the trade frequency. Those two pictures I attached is the example of what my bot actually do like i explained

Hello, I want a simple bot for NinjaTrader8. I need a bot that operates automatically on Nasdaq (NQ/MNQ). Requirements: open buys and sells following a simple trend strategy, configurable stop loss and take profit, risk per trade of 1 to 2% of capital, if it loses 3% in a day, stop trading until the next day. Compatible with backtesting, delivery of the source code and the working bot in NinjaTrader 8. My initial

Hi, I'm interested in ordering an MT4 trading bot. Before we begin, could you please send me the technical specifications and requirements you'll need? Specifically, I'd like to know: - The trading strategy the bot will use. - The currency pairs or instruments it will trade. - The timeframes it supports. - Risk management features (lot sizing, stop loss, take profit, trailing stop, maximum drawdown). - Whether it

Hello everybody, I'm looking for an experienced MQL4/MQL5 developer to optimize a High-Frequency Trading (HFT) Expert Advisor for both MT4 and MT5. The EA performs consistently and profitably on demo accounts, but when it is run on Raw and Standard live accounts under what appear to be the same trading conditions, it begins generating losses. I do not have the original source code (.mq4/.mq5); I only have the

I have a High-Frequency Trading (HFT) Expert Advisor for both MT4 and MT5 designed primarily for US30 (Dow Jones Index) . The EA performs consistently and profitably on demo accounts, but when I run it on an IC Markets Raw or Standard live account, it starts generating losses under what appear to be the same trading conditions. At this time, I cannot provide the source code (.mq4/.mq5). I can only provide the

1. Use two EMAs: 20 and 50. If EMA 20 is above EMA 50 → uptrend (look for buys) If EMA 20 is below EMA 50 → downtrend (look for sells) 2. Wait for a pullback into the area between the two EMAs. - For buys: price must touch or move between EMA 20 and EMA 50 during the last few candles. - For stils: same idea, but in a downtrend. 3. Entry signal: Buy: a bullish engulfing candle in an uptrend after the pullback

Ниже представлено готовое, технически выверенное Техническое задание (ТЗ) . Вы можете полностью скопировать этот текст и разместить его на бирже фриланса (например, MQL5.com в разделе «Фриланс» или на Smart-Lab). Данное ТЗ написано на профессиональном языке, понятном разработчикам торговых систем для терминала QUIK (на языке Lua) . ТЕХНИЧЕСКОЕ ЗАДАНИЕ (ТЗ) Разработка мультивалютного торгового робота для терминала

Start ↓ Detect Trend (H4) ↓ Confirm Structure (H1) ↓ Wait for Pullback ↓ Check Indicators ↓ Calculate Confidence Score ↓ Score ≥ 80? ├── No → Wait └── Yes ↓ Calculate Lot Size ↓ Place Order ↓ Set Stop Loss ↓ Set Take Profit ↓ Manage Trade ↓ Move to Break-even ↓ Trail Stop ↓ Close Trade. IF Price > EMA200 (H4) AND EMA50 > EMA200 (H4) AND ADX > 25 AND RSI between 55 and 70 AND MACD Main > Signal AND Bullish engulfing

HIGH-FREQUENCY M5/M15 CONCURRENT ENTRY SNIPER import time class HighFrequencySniper: def __init__(self): self.target_profit = 25.00 # Targeted Delta Move self.max_execution_time = 3600 # 1 Hour Sandbox (Seconds) self.lot_allocation = "CALIBRATED_TO_RISK" def execute_hft_scan(self, current_price, m5_rsi, m15_order_block): print(f"[SCANNING] Current Kernel Metric: ${current_price:.2f