Using Stochastic (75,1,1) there will be a close of a position and open a new position every time a level in the indicator is touched and reversed or crossed then reversed after printed.
Reversal levels will be 5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95 within the stochastic indicator.
Example: Cross then Reversal
Stochastic going upwards would be in a buy position passing levels 25,30,35,40,45,50,55,60,65,70
-75 not being crossed but levels comes back down passing the 70 position.
-Buy positing would automatically close out and sell position is executed.
Example: Touch then Reversal
Stochastic going upwards would be in a buy position passing levels 25,30,35,40,45,50,55,60,65,70
-75 level touched and reverses
-Buy positing would automatically close out and sell position is executed.
Every time a level is crossed in the same direction another position will open.
Example- If Stochastic reverses at level 15 going upwards passing 20, 25,30, 35 there would then be a position opened for each of those levels equaling 5 buy positions.
Once stochastic reverses in opposite directions for example passes 35 and crosses back under 35, All buy positions would then be closed out and would then execute a
sell position which would then continue on with multiple sell positions if 5 point levels are crossed.
https://charts.mql5.com/28/780/us30-m1-global-liquidity-ltd.png
Also have a setting to be able to turn off the multiple position openings.
相似订单
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
Act as a professional Quantitative Developer and Risk Manager. I want to build a systematic trading strategy rulebook that prioritizes capital preservation and statistical edge over raw performance. Please generate a structured trading strategy using the following framework: 1. ASSET CLASS & TIMEFRAME: - Asset: [e.g., Apple (AAPL), Bitcoin (BTC), or EUR/USD] - Timeframe: [e.g., 5-minute, 1-hour, Daily] 2. CORE
Part 1: Project setup Input settings (risk, stop loss, take profit, EMA periods) Indicator initialization Trade management framework Part 2: Trading logic EMA crossover detection Buy/Sell entry rules One-trade-per-symbol check Part 3: Risk management Automatic lot size calculation Stop-loss and take-profit placement Trade execution and error handling Part 4: Final touches On-screen information Optimization
Hello, I am reopening this project with a fully updated and clarified specification. I am looking for a high‑level MQL5 developer who can deliver a clean, stable, and professional Phase 1 version of my: Institutional‑Grade Multi‑Currency MT5 EA (A2SR + SMC + Smart Recovery + Smart Grid + Liquidity + Volatility + Safety Filters) This EA is not a simple indicator conversion or a basic strategy. It is a structured
全部订单
规则
