Migrate a program from another language for use it in Metatrader

Sergey Golubev: Nick Rypock Trailing Reverse ( NRTR ) The forum Key thread Basic explanation/the theory - the post Second version of AscTrend system - asctrend indicator together with NRTR indicator NRTR_color_line indicator for MT5 - the post First version of AsctrendND EA - This EA use Asctrend indicator as main signal and Nrtr indicator as filter: - How to install . - optimization results for M15 timeframe for

Looking for an experienced MQL5 developer to design and develop a custom Expert Advisor (EA) for MetaTrader 5. The purpose of this EA is not just automated trading, but also to help me better structure, test, and refine my personal trading strategy

99.99% signal accuracy 10-15 trades distribution all currency trade and meta AI assistance on loss[advice] stop and start robot cyber security firewall protection activation code: 20060605TLP20 Please create a trading bot with any logo with the name elevation

The trading bot is an automated software system designed to monitor financial markets, execute trades, and manage risk based on predefined strategies. The bot aims to maximize profits while minimizing human intervention and emotional decision-making. Scope: Supports automated trading on selected exchanges (e.g., Binance, Bitget, Coinbase). Executes trades based on technical indicators, signals, or AI models. Provides

🔥 ICT_OneTrade_2R Precision. Discipline. Consistency. ICT_OneTrade_2R is a professional Expert Advisor designed for traders who value structured execution and controlled risk. This system is built around a fixed Risk-to-Reward ratio of 1:2 (RR 2.0) — meaning every trade is planned with precision: Risk 1 → Target 2. No randomness. No overtrading. Just one high-quality trade per session. ⚙️ Key Features ✔ Fixed RR 1:2

mport pandas as pd import numpy as np def detecter_tendance(data): # Code pour détecter la tendance pass def identifier_niveaux(data): # Code pour identifier les niveaux de support et de résistance pass def calculer_stop_loss(tendance, support, resistance): # Code pour calculer les stop loss pass def calculer_profils(tendance, support, resistance): # Code pour calculer les profils mport pandas as pd