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Sheet 02 · System detailsAS-02 · Rev A

System details

Three flagship builds, drawn as schematics. No client names, no screenshots: just how each system works and what it delivers.

02.1 / Detail A

Institutional EA Suite

Scope
A comprehensive algorithmic trading system for an institutional client. Multi-timeframe analysis, dynamic risk management, and automated execution across multiple currency pairs.
Client
Institutional client
Built with
  • MQL5
  • Expert Advisors
  • Risk Engine
  • Multi-Pair
Detail A: Institutional EA Suite Three timeframes (lower, mid and higher) feed one multi-timeframe analysis block. The analysis feeds dynamic risk management, then automated execution, which fans out to multiple currency pairs. TIMEFRAMELOWER TIMEFRAMEMID TIMEFRAMEHIGHER MULTI-TIMEFRAME ANALYSIS DYNAMIC RISKMANAGEMENT AUTOMATED EXECUTION PAIR PAIR PAIR PAIR MULTIPLE CURRENCY PAIRS
Detail AInstitutional EA SuiteNot to scale

02.2 / Detail B

Real-Time Trading Dashboard

Scope
Web-based portfolio monitoring with live market data feeds, P&L tracking, and custom alerting.
Key figures
  • Sub-second updates via WebSocket connections
Built with
  • React
  • TypeScript
  • WebSocket
  • .NET API
  • AWS
Detail B: Real-Time Trading Dashboard Live market data feeds enter a .NET API. The API pushes sub-second updates over WebSocket to a React and TypeScript dashboard with three panels: portfolio monitoring, P&L tracking and custom alerting. The system is hosted on AWS. LIVE MARKET DATA FEEDS .NET API WEBSOCKETSUB-SECOND UPDATES REACT / TYPESCRIPT DASHBOARD PORTFOLIO MONITORING P&L TRACKING CUSTOMALERTING HOSTED ON AWS
Detail BReal-Time Trading DashboardNot to scale

02.3 / Detail C

Signal Distribution Platform

Scope
An automated trade copier with real-time signal distribution, on a cloud-native architecture with minimal latency.
Key figures
  • 500+ subscribers
  • 99.9% uptime
Built with
  • AWS ECS
  • .NET Core
  • Docker
  • PostgreSQL
  • CloudFront
Detail C: Signal Distribution Platform A signal source feeds a cloud-native platform built from AWS ECS, .NET Core, Docker, PostgreSQL and CloudFront, with 99.9% uptime and minimal latency. The platform fans each signal out to 500+ subscribers. SIGNAL SOURCE CLOUD-NATIVE PLATFORM AWS ECS .NET CORE DOCKER POSTGRESQL CLOUDFRONT 99.9% UPTIME · MINIMAL LATENCY 500+ SUBSCRIBERS
Detail CSignal Distribution PlatformNot to scale

02.4 / Typical details

What I build

Typical details from real client projects.

  1. TD-01

    MT4 and MT5 Expert Advisors

    From strategy logic to live execution, in MQL4 and MQL5.

    Proper Job, highly recommended for any EA
    Verified Client, Freelancer.com
  2. TD-02

    Custom MT4 indicators

    Custom indicators for MetaTrader 4, written in MQL4.

    Another flawless MT4 indicatoor from Amr. Thanks!
    Verified Client, Freelancer.com
  3. TD-03

    TradingView trend indicator

    A trend indicator for TradingView, written in Pine Script.

    I had Amr create a trend indicator for TradingView and I'm very pleased not only with the end product but with the process as well...
    Verified Client, Freelancer.com
  4. TD-04

    MT4 sub-apps

    Sub-applications that run inside MetaTrader 4.

    Best when it comes to developing MT4 sub-apps. The finished product was clean reliable and efficient...
    Verified Client, Freelancer.com
  5. TD-05

    Trade copiers and signal systems

    Real-time signal distribution from one source to many subscribers.

  6. TD-06

    Trading dashboards

    Portfolio monitoring, P&L tracking and alerting on live market data.

  7. TD-07

    Websites and web applications

    SaaS products, web applications and APIs, built with modern architecture.

02.5 / Materials

Materials schedule

The stack I specify, layer by layer.

  1. M-01

    Trading & FinTech

    • MetaTrader 4/5
    • MQL4 / MQL5
    • Pine Script
    • Expert Advisors
    • Trading Bots
    • Signal Systems
  2. M-02

    Backend & APIs

    • C# / .NET Core
    • ASP.NET
    • RESTful APIs
    • WebSocket
    • Microservices
    • PostgreSQL / SQL Server
  3. M-03

    Frontend

    • React
    • TypeScript
    • JavaScript
    • HTML5 / CSS3
    • Responsive Design
  4. M-04

    Cloud & DevOps

    • AWS (ECS, EC2, RDS, S3)
    • Docker
    • CI/CD
    • CloudFront
    • Infrastructure as Code

02.6 / Sequence

Sequence of operations

How a project moves from the first call to follow-up.

  1. OP 01 (operation)

    Discovery call

    A video call to understand your strategy and your goal.

  2. OP 02 (inspection)

    Clear specification

    I ask the right questions and confirm every detail.

  3. OP 03 (operation)

    Build with progress updates

    I build the system, and you get regular progress updates.

  4. OP 04 (inspection)

    Test and revise

    Until it works exactly as specified, often on the first test.

  5. OP 05 (transport)

    Delivery and follow-up

    After delivery I check that everything works as expected.

  • Operation
  • Inspection
  • Transport

02.7 / Pending

Drawings in preparation

Notes from 195+ projects, coming soon.

Article8 min read

Building Reliable Trading Bots: Lessons from 195+ Projects

In preparation

Article6 min read

Why Your Expert Advisor Keeps Failing (And How to Fix It)

In preparation

Article12 min read

Deploying Trading Systems on AWS: A Complete Guide

In preparation

02.8 / Request

Request for proposal

Send me your strategy or product idea. I'm currently accepting new projects, and my typical response time is within 24 hours.

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Accepting new projects

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