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}")
Download the file below to see the job description . If you look for the attached file you'll find all the jobs description . This place has been a great experience to purchase all materials i use and I thinking that someone will write the program for me. Download the file and you will understand the job
I run an institutional-grade, high-frequency XAUUSD (Gold) algorithmic trading system deployed on a Vantage Live Account. The entire trade copier infrastructure is fully tested, automated, and ready for immediate deployment. We are currently looking for a high-caliber performance marketing partner (Media Buyer, Introducing Broker, or Financial Affiliate) to achieve a highly specific target: Acquire our next 10
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
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