Trabajo finalizado
Plazo de ejecución 3 días
SCENARIO 1 ( 1 Trade Per Day)
1. Expert advisor open buy-stop and sell-stop base on new candlestick close | user can input any time frame of candle stick close 5m or 15m or ... on 00:00GMT period separators daily
2. Gap from buy stop and sell stop user can input | default 200 point from open market
3. User can input Stop lose | default 200 point
4. Take Profit user can input | default 200 point
5. BuyStop or SellStop open other Side delete automatic
6. Loop the same for next day
7. Lot size user can input | default 0.01
SCENARIO 2 ( Continue trade)
1. Expert advisor open buy-stop and sell-stop base on new candlestick close | user can input any time frame of candle stick close 5m or 15m or ... on 00:00GMT period separators daily
2. Gap from buy stop and sell stop user can input | default 200 point from open market
3. User can input Stop lose | at buy stop or sell stop location
4. If stop lose hit it will place it place other sellstop and buystop
4. Take Profit user can input | no take profit close position when end day open candlestick
5. BuyStop or SellStop open other Side delete automatic
6. Loop the same for next day
7. Lot size user can input | default 0.01 | lot size fixed or multiple depend on use selected
***Make sure robot can do back-test properly***
Solicitudes similares
I am looking for an experienced MQL4/MQL5 HFT developer to build or optimize a High-Frequency Trading (HFT) Expert Advisor that can successfully pass proprietary trading firm challenges and perform consistently under live trading conditions with brokers such as 8cap or BlackBull Markets . The developer should have proven experience with HFT execution, ultra-low-latency trading, broker execution, slippage, spreads
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
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
Todos los encargos
Reglas
