TT
TRADING SYSTEM
Indicators
are:
1.
Exponential moving averages (period: 25 and 15), apply to: close.
2.
Stochastic (period:60,3,3) price field: low/high, MA: simple. Level:
0, 20, 40, 60, 80, 100
3.
Commodity channel index (period: 20), Level: 100, 0, -100
4.
Money flow index (period:20), Level: 0, 50, 100
5.
Relative strength index (period: 20), Level: 25, 50, 75
Note:
All the indicators’ periods should be adjustable (Option to adjust
the indicators’ periods must be provided).
Buy
order conditions
1. Execute buy order if:
a. The smaller moving average crosses above the higher moving average
and price is 10 points above both moving averages.
b. The stochastic moves above level 40.
c. The commodity channel index is positive (above 0).
d. The money flow index is above level 50.
e. The RSI is above level 50.
2. Do not execute buy order:
a. If stochastic is above level 80 (overbought).
b. If RSI is above level 75 (overbought).
Sell
order conditions
1. Execute sell order if:
a. The lower moving average crosses below the higher moving average
and price is 10 points below both moving averages.
b. The stochastic is below level 60.
c. The commodity channel index is negative (below 0).
d. The money flow index is below level 50.
e. The RSI is below level 50.
2. Do not execute sell order:
a. If stochastic is below level 20 (oversold).
b. If RSI is below level 25 (oversold).
Trade management conditions
1. The EA must execute a single trade at a time for each currency
pair.
2. The EA must be able to trade all currency pairs (Any instrument).
3. Provide option for x-number of take profit and stop-loss in
pips/points (value to be set by the user in pips/points).
4. Provide option for trailing stop-loss (value to be set by the user
in pips/points). Use exponential moving average of period 10 with a
shift of 5, apply to: close. If price moves x-number of pips/points,
trailing stop moves x-number of pips/points in the direction of the
market. Trailing gap in pips/points is set by the user.
5. The EA should display on the screen total number of positions
currently opened on the account, the account leverage and account
balance.
Ordini simili
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
Tutti gli ordini
Regolamenti
