The project aims at developing an Automated trading application for IQOption

Project Overview ​I am looking for a high-level Algorithmic Trader / Developer to build a sophisticated, fully automated scalping system for the Nasdaq-100 Future (NQ) . The system must integrate institutional order flow logic with market structure analysis. ​The core logic must be written in Python , acting as a central hub that bridges ATAS (as the primary data source for Order Flow) and MetaTrader 5 (as the

have the Beatrix Inventor Expert Advisor (EA) that was profitable in the past but has been losing money recently. I need an experienced EA developer/optimizer to study the trade history (especially Stop Loss hits, drawdown periods, SL/TP behavior, win/loss ratio, etc.) and recommend + implement specific tweaks so it becomes consistently profitable again. Your job: 1. Deep analysis of why the EA is no longer

Hi, are you able to create a script/indicator on tradingview that displays a chart screener and it allows me to input multiple tickers on the rows. then the colums with be like "premarket high, premarket low, previous day high, previous day low" . When each or both of the levels break, there will pop up a circle on the chart screener, signaling to me what names are above both PM high and previous day high or maybe

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

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