Neural Network library for self-optimizing in MQL5

I am looking for an experienced quantitative developer to analyze and optimize an MT5 Expert Advisor that I have already developed. The EA is relatively complex and includes: Multiple strategies (Trend Pullback, Breakout, Mean Reversion, EMA Reclaim) Scoring system combining technical score and probabilistic filter Regime detection (ADX based) Volatility filters (ATR regime) Correlation and cluster exposure control

Find a good entry point and enter the trade .after the first profit of 25% is done then exit the trade .find the good market analysis of the trend and know when the market is on a good trend. After that now know the entry point and the take profit of the slot you have opened .have also a risk management strategy

Good morning, I have a Gap Fill strategy and a 10 min opening range break strategy that trade on RTH ES Futures data I have been working on that seem to have some bugs while live trading. They have both been coded by ChatGPT so I would like someone that know how to properly code a strategy to go over each to proof and debug them. Would you be able to do this and could you possibly add some context or features that

I want robot that can help me trade and make some money so that I can be able to learn from it while I'm still in depot account now.Is how it gonna help me with some money

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

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

Hello, I have a High Frequency Trading EA for MT4 that performs consistently profitable in demo accounts , but when I switch to a real account (IC Markets Raw) , it starts to generate losses under the same conditions . Everything — settings, VPS, broker, and market hours — is exactly the same. This indicates the issue is likely related to execution speed, slippage handling, or real tick behavior . I am looking for an