Exir AI

Objective: Develop a robust and highly profitable Expert Advisor (EA) for MetaTrader based on a precise custom trading strategy to achieve a high win rate. ​ Instrument & Timeframe: XAUUSD (Gold), optimized for M5 / M15 timeframes. ​ Entry Strategy: Open Buy/Sell orders based on strict confirmation signals (e.g., Moving Average crossover combined with Price Action or RSI threshold). ​ Lot Size & Risk Management

Titolo: Cerco sviluppatore per EA su XAUUSD M1 per conto reale Cerco uno sviluppatore MQL5 per creare un Expert Advisor per MetaTrader 5 su XAUUSD M1, da utilizzare su conto reale con deposito iniziale di 100–200 €. La strategia prevede un Buy Stop a 1,00 sopra l’Ask e un Sell Stop a 1,00 sotto il Bid, entrambi con stop loss iniziale di 1,00 e senza take profit fisso. I pendenti devono restare fermi: quando uno viene

I am looking for a skilled MQL5 developer to create a robust, institutional-grade Expert Advisor for MT5, optimized for Gold (XAUUSD). The EA must comply strictly with prop firm rules. Key Requirements: Asset: XAUUSD (Gold) on MT5 Risk Management: Strict Stop-Loss & Take-Profit on every order. Absolute daily max loss, overall max drawdown guard, and percentage risk per trade. No High Risk: NO Martingale, Grid, or

BUDGET: 100-120 USD - FIXED - includes source code .mq5 + .ex5 I will test demo first on 100$ demo account. If good, I pay. WHAT I WANT: 1. SIGNAL STRENGTH LOGIC: - WEAK SIGNAL = 1 position only. - STRONG SIGNAL = 2,3,4,5 positions (more positions because signal is strong). - Signal strength calculated by indicators. 2. ADAPTIVE TO CAPITAL: - Lot auto = Balance / 100 * 0.01. Example 100$ = 0.01 lot, 300$ = 0.03 lot

Platform: MT5 only (no MT4 needed). Deliverable: an MT5 Expert Advisor with full source code (.mq5) that replicates the attached TradingView strategy (Pine Script v6, based on LuxAlgo's "ICT Killzones Toolkit" order blocks) as exactly as possible. Pasting the code into TradingView shows how it operates. I normally trade GBPUSD on the 5-minute chart Expected behavior: - Order block detection must match the Pine code

Requirements Specification: Debug & Error Fixing: Review the entire source code of the MQL expert advisor. Identify and fix all logical errors, bugs, and performance issues that cause trades to close prematurely or yield extremely low profits. Strategy Restructuring & Optimization: Fully analyze and optimize the current entry and exit strategy for USDJPY and GBPUSD. Modify, upgrade, or completely rewrite the entry

I am looking for an MQL5 developer to independently review an existing EA’s execution and position management logic. The review should focus on duplicate orders, trade isolation by symbol and magic number, broker price and volume constraints, error handling, and recovery after a terminal restart. This order is for an audit report. Please do not modify the source or change the trading strategy. For each finding

Hello, I want to create a custom Expert Advisor (EA) for MetaTrader 5 based on 3 main confirmations: Market Structure & Price Action: Identify high time-frame trend direction (HL/LH). Chart Pattern: Detect classic continuous/reversal patterns (e.g. Cup and Handle, Double Bottom/Top) on trading timeframe. Volume Profile (PoC): Confirm entry when price breaks/retests the Point of Control (PoC) level. Risk Management &

Project: XAUUSD Gold Trading Robot for MetaTrader 5 I want to develop a fully automated Expert Advisor (EA) for MetaTrader 5, designed exclusively for Gold (XAUUSD) and compatible with the Exness broker. Trading Strategy: Liquidity + CHOCH + Retest Identify important buy-side and sell-side liquidity zones using previous highs and lows, equal highs/lows, and confirmed swing points. Wait for a clear liquidity sweep

Here is a professional, detailed requirements specification draft for your MQL5 freelance order based on your prompt: ​ Strategy Objective: Develop an automated Expert Advisor (EA) featuring a 1:3 Risk-to-Reward ratio optimized for a small starting budget. ​ Core Trading Logic: ​Execute automatic Buy and Sell trades using high-probability entry signals. ​Target a strict 90% theoretical win-rate structure through