Developing a relatively simple trading expert based on indicator signals

Subject: Development of Ultra-High Precision Confluence Indicator - M1 Binary Options (Non-Repaint) ​ Hello, I am looking for a Senior MQL5 Developer to create a custom "Surgical Precision" indicator for MetaTrader 5, specifically optimized for 1-minute (M1) Binary Options trading. The system must integrate three distinct layers of algorithmic analysis. ​ 1. Core Logic: Triple-Layer Confluence ​The signal (Call/Put)

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

Hi, I need a simple MT5 EA. Based on my simple trading strategy I'm going to discuss with you If you have experience in this kindly bid for this project Thanks

Develop a fully automated MT5 Expert Advisor based on a multi-timeframe institutional trend-pullback strategy with: Regime filtering (H4) Execution logic (H1) ATR-based stop model Multi-stage trailing system Risk-based position sizing Portfolio-level risk protection Detailed performance logging This EA will be used for client capital (PAMM/MAM environment). Stability and risk control are higher priority than high

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

I would like to create a robot with the smart money concepts, that integrates order block,FVG,supply & demand ,read the market structure,liquidity and also trade with the session and also after a liquidity sweep a market structure is needed to verify the reversal and a retracement to the order block and sometimes fair value Gap

1️⃣ System Architecture An AI robot typically consists of the following subsystems: 🔹 1. Perception Layer Collects environmental data using: RGB / Depth cameras LiDAR Ultrasonic sensors IMUs (Inertial Measurement Units) Microphones Data is processed using: Computer Vision (e.g., object detection, SLAM) Signal processing Sensor fusion algorithms 🔹 2. Cognition / Intelligence Layer Implements AI models such as

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

I need help in modifying an amibroker AFL indicator the indicator already works but I need per symbol static variable isolation, parameters persistence per symbol after restart, non declining trailing stop logic, parameter auto restore when switching symbols and a global reset function for static variables. For better understanding As discussed, this is the official offer for restructuring my RAD Chandelier stop loss

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