Ninjatrader code file and set up

Hi MQL5 Community, With over 10 years of live market experience as a Quantitative & Trading System Developer, I specialize in building robust, highly scalable Expert Advisors (EAs), custom indicators, and automated architectures. I’ve recently put together a comprehensive showcase demonstrating my flagship Modular Multi-Engine Architecture , designed to bring institutional-grade logic and real-time telemetry into

Looking for A verifiable, disciplined XAUUSD analyst with controlled drawdown, consistent stop-loss use, clear communication and the capacity to service a live community. To send daily London and New York signals exclusively in my channel on Telegram

Version document : 1.0 Plateforme : TradingView Langage : Pine Script v6 Type : Indicateur d'analyse et d'aide à la décision (non-exécutant) 1. Présentation du projet Nom du produit ONYX SR V2 — Intelligent Support & Resistance Scalping System Objectif Créer un indicateur TradingView capable d'identifier automatiquement des opportunités de scalping basées sur : supports et résistances dynamiques ; action du prix ;

Complete TradingView ↔ MT5 Trading Bridge Workflow The system is designed so that I do all of my market analysis inside a TradingView-style interface while the bridge automatically manages execution in MT5. First, I analyze the market and decide where my entry and stop loss should be. I then right-click on the chart, choose the desired order type (Market, Buy Limit, Sell Limit, Buy Stop, or Sell Stop), and place the

# 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}")

I am looking for an experienced MQL5 or MQL4 developer with a strong background in low-latency algorithmic trading, market data integration, arbitrage and execution optimization. The project involves developing a high-performance HFT Expert Advisor (EA) for XAUUSD or US30 on IC Markets that is designed for robust execution in both demo and live environments. The EA may use market data feeds (such as lmax,one zero or