Institutional-Grade Multi-Timeframe EA — H4 Bias / H1 Structure / M15 Execution (Modular MQL5, XAUUSD + Majors)

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PROJECT OVERVIEW

I need a production-grade, modular Expert Advisor for MetaTrader 5 built to institutional coding standards. This is not a simple indicator-crossover bot. The system must be object-oriented, fully commented, and structured so individual modules can be replaced or disabled without breaking the build.

Broker: IC Markets Raw. Primary symbol: XAUUSD. Secondary validation: EURUSD, GBPUSD, USDJPY, AUDUSD.

STRATEGY LOGIC

Multi-timeframe sequential state machine. Each stage must gate the next — no single-bar condition checks.

H4 — Directional bias. EMA50 / EMA200 relationship plus ADX regime classification (trend vs range).
H1 — Market structure. Identify BOS, CHOCH, swing highs/lows, and liquidity pools (equal highs/lows, session highs/lows, prior day high/low).
M15 — Entry execution. Liquidity sweep of an H1 pool → displacement candle → BOS confirmation → Fair Value Gap forms → limit entry placed INSIDE the FVG at equilibrium (midpoint), not anchored to the sweep origin.
Volatility gate — ATR percentile filter; skip signals when ATR is outside the acceptable band.
Session gate — London session and London/NY overlap only. Configurable GMT offset input (server offset must be manually overridable).

REQUIRED MODULES (separate .mqh include files, compiled to a single .ex5)

Logger
Context (shared state / symbol properties)
SessionFilter
SpreadFilter
TrendEngine
VolatilityFilter
StructureEngine (BOS / CHOCH / swings)
LiquidityEngine (pool detection, tap detection, expiry)
SignalEngine (state machine)
RiskManager
PositionSizer
TradeManager (break-even, partial close, trailing stop, session exit)
NewsFilter
Statistics
Dashboard (on-chart panel)

RISK MANAGEMENT — NON-NEGOTIABLE

Risk per trade: 0.25%–1%, configurable, dynamic lot sizing from stop distance
Max daily drawdown: 2% — halt trading for the day when breached
Max weekly drawdown: 5% — halt trading for the week when breached
Max concurrent open positions: 2
Stop after 3 consecutive losses (configurable cooldown)
Equity-halt state must persist across terminal restarts (GlobalVariable, with GlobalVariableCheck before GlobalVariableGet)
ATR-based stop loss; minimum R:R 1.5, target 2–3
No martingale. No grid. No averaging down. Any submission using these will be rejected.

NEWS FILTER

High-impact events only. Block entries 60 minutes before and 30 minutes after. Must handle calendar unavailability gracefully (fail-safe: no trade).

CODING REQUIREMENTS

Latest MQL5 syntax, MT5 build-update safe
Object-oriented; class pointers with GetPointer() only — no struct pointers
Indicator handles created in OnInit, released in OnDeinit — never inside OnTick
Heavy calculations gated on new-bar open only
Every CTrade return value checked and logged
Full input parameter set with optimization ranges defined
Verbose debug logging, toggleable by level
Order validation before every send (stops level, freeze level, volume min/max/step, margin check)
No hardcoded magic numbers, symbols, or session times

DELIVERABLES

Full commented source code (.mq5 + all .mqh files) — source code ownership transfers to me
Compiled .ex5
Set files for each tested symbol
Written strategy documentation: entry rules, exit rules, every input parameter explained
Backtest reports as specified below

TESTING REQUIREMENTS

Minimum 10 years history, 99% tick quality modelling, real spread + commission modelled
In-sample / out-of-sample split with the OOS window untouched during development
Walk-forward analysis
Monte Carlo permutation of trade sequence
Parameter sensitivity sweep — the strategy must remain profitable across a plateau, not a single spike
Multi-symbol robustness check

Reject-on-sight red flags I will be checking for: Sharpe above 5, win rate above 70%, zero trades on one side of the book, or fewer than 100 trades in the sample. These indicate curve fitting or a directional bug, not edge.

DESIGN TARGETS (targets, not guarantees — I am not asking anyone to promise returns)

Trade frequency: 4–5 per week
Win rate: 55%+ with R:R 2.0+
Profit factor: 1.4–1.8
Max weekly drawdown: 5%

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项目信息

预算
100 - 300 USD
截止日期
 1  30 天

客户

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