MQL5 Expert Advisor — Developer Proposes Proven Strategy, Full Source Code Required

Specifiche

Overview

I am looking for an experienced MQL5 developer to design and deliver a professional Expert Advisor for MetaTrader 5. Rather than dictating the strategy, I want the developer to propose a proven, well-documented approach they have personally built and validated — one with a genuine statistical edge, not curve-fitted results. Quality and transparency matter more than speed of delivery. Budget is negotiable for the right candidate.


What I expect from you

Before starting work, provide a brief written proposal covering:

  • The strategy logic (entry, exit, trend filter if any)
  • Why this strategy has an edge and on which instruments and timeframes it performs best
  • Sample backtest results from 2018 to present using Every Tick Based on Real Ticks, variable spread, and realistic commission
  • Development and out-of-sample periods clearly separated (e.g. 2018–2022 in-sample, 2023–present out-of-sample)

I will only proceed with developers whose proposal demonstrates genuine understanding of the strategy rather than a generic description.


Technical requirements

The delivered EA must meet all of the following:

Platform and compatibility

  • Native MQL5 for MetaTrader 5
  • Supports both netting and hedging accounts
  • Handles broker symbol suffixes and prefixes automatically
  • No DLL dependencies, no remote server calls, no account lock, no expiry date

Risk management — non-negotiable

  • Risk per trade calculated as a percentage of current equity based on actual stop distance and symbol properties — default 0.5% per trade, fully configurable
  • Daily equity loss limit: 1% — when reached, close all EA positions and block new trades until the next broker day
  • Total drawdown limit: 5% from peak equity since EA start — when reached, close all positions and disable trading until manual reset
  • The 5% drawdown state must persist across terminal and VPS restarts
  • Lot size calculation must derive from actual stop distance — no fixed lot, no martingale, no grid, no averaging down, no recovery mode, no increasing risk after losses
  • Protection for invalid lot size, insufficient margin, maximum spread breach and slippage
  • Developer must explicitly disclose in documentation that gaps and slippage can cause actual loss to exceed programmed thresholds

Entry and exit

  • All signals must use completed candles only — no repainting, no look-ahead bias
  • Stop loss, take profit and trailing stop must be based on ATR or a similarly objective volatility measure
  • All periods, multipliers and thresholds must be external input parameters

Filters and controls

  • Configurable trading sessions and days of the week
  • Configurable maximum spread per symbol
  • Optional high-impact news filter using MQL5 Economic Calendar with configurable pause window before and after events
  • Magic number and order comment
  • Emergency close all and disable trading button
  • On-chart information panel showing: current equity, daily loss so far, peak-to-current drawdown, open risk, EA status and reason trading is blocked if applicable

Code quality

  • Full editable source code (.mq5) and compiled file (.ex5) delivered
  • Zero compilation errors and zero warnings
  • Clean, well-commented code with no obfuscation
  • Detailed journal logging for all signals, rejected entries, and risk limit events

Deliverables

  1. Written strategy proposal before work begins
  2. Full .mq5 source code and .ex5 compiled file
  3. HTML backtest reports for all symbols tested, covering 2018 to present with Every Tick Based on Real Ticks, variable spread and realistic commission
  4. Separate in-sample and out-of-sample backtest reports
  5. Settings (.set) files used for testing
  6. Exact broker and data source used for backtests stated clearly
  7. Installation guide and full explanation of every input parameter
  8. Demonstration that the 1% daily and 5% total drawdown blocks function correctly in the Strategy Tester

What I will not accept

  • Results optimised on lot size to manufacture profit figures
  • Backtests run on OHLC modelling or without variable spread
  • Any promise of a guaranteed monthly return — I am evaluating implementation quality, not profit claims
  • Single-period backtests with no out-of-sample validation
  • Strategies that pass only because of heavy optimisation with no forward logic

Acceptance and corrections

  • Source code and all files delivered through MQL5 Freelance
  • EA behaviour must match the specification on a demo account and in Strategy Tester
  • One correction round for specification-related defects found within 14 days of delivery
  • Payment released only after verification

How to apply

Send me:

  1. Your strategy proposal (2–3 paragraphs maximum — be specific)
  2. One sample backtest report showing your typical quality of work
  3. Your estimated timeline and price

Generic applications without a strategy proposal will not be considered.

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a 14 giorno(i)