Erkebulan AI Trading — Smart Signal Platform - Sell Project

Project Overview

Erkebulan AI Trading — Full AI-Powered Forex Signal SaaSErkebulan AI Trading is an AI-powered Forex signal SaaS combining Telegram bots, ML-based market analysis, automated trade execution, and an advanced TradingView WebSocket integration.The platform includes:✔️ Automated Forex signal generation✔️ Telegram bots for user delivery✔️ Machine learning with feedback training✔️ 12+ profitable assets✔️ Aggressive & stable trading modes✔️ Auto-feedback system (profit/loss collection)✔️ Admin tools...

Detailed Description

Erkebulan AI Trading — Full AI-Powered Forex Signal SaaS


Erkebulan AI Trading is an AI-powered Forex signal SaaS combining Telegram bots, ML-based market analysis, automated trade execution, and an advanced TradingView WebSocket integration.


The platform includes:


✔️ Automated Forex signal generation


✔️ Telegram bots for user delivery


✔️ Machine learning with feedback training


✔️ 12+ profitable assets


✔️ Aggressive & stable trading modes


✔️ Auto-feedback system (profit/loss collection)


✔️ Admin tools, multi-user support


✔️ Full source code + backend + ready-to-run infrastructure



This project is ideal for someone looking to launch a SaaS business in trading automation or scale an existing trading signal operation.


Monetization potential:


Monthly subscription plans


Paid VIP signals


Reseller access


Licensing the ML model



Everything is included and fully operational.

Content Freshness & Updates

Project Timeline

Created: November 19, 2025 at 9:31 PM (3 weeks ago)

Last Updated: December 10, 2025 at 3:02 PM (1 day ago)

Update Status: Updated 1.6574788139815 days ago - Recent updates

Version Information

Current Version: 1.0 (Initial Release)

Development Phase: Production Ready - Market validated and ready for acquisition

Next Update: <p>The buyer can easily scale this project by:</p><p><br></p><p>Adding paid subscription via Stripe or Paddle</p><p><br></p><p>Building a simple web dashboard for users</p><p><br></p><p>Expanding the ML model with more training data</p><p><br></p><p>Adding crypto trading signals</p><p><br></p><p>Running ads on Telegram communities</p><p><br></p><p>Adding multi-language support</p><p><br></p><p>Converting current beta-users into paid customers</p><p><br></p><p><br></p><p>This project has strong technical foundations and can be grown into a profitable AI SaaS in a very short time.</p>

Activity Indicators

Project Views: 113 total views - Active engagement

Content Status: Published and publicly available

Content Freshness Summary

This project information was last updated on December 10, 2025 and represents the current state of the project. The content is very fresh and reflects recent developments. The project shows active engagement with 113 total views, indicating ongoing interest and relevance.

Visual Content & Media

Project Screenshots & Interface

The following screenshots showcase the visual design and user interface of Erkebulan AI Trading — Smart Signal Platform:

Screenshot 1: Main Dashboard & Primary Interface

This screenshot displays the main dashboard and primary user interface of the application, showing the overall layout, navigation elements, and core functionality. The interface demonstrates the modern design principles and user experience patterns implemented using PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker.

Project Demonstration Videos

The following videos provide visual demonstrations of Erkebulan AI Trading — Smart Signal Platform in action:

Demo Video 1: Main Functionality Walkthrough

This video demonstrates the main functionality and core features of the application, providing a comprehensive overview of how the system works. The video showcases the saas application's technical implementation using PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker and user interface design, providing viewers with a clear understanding of the project's capabilities and value proposition.

Video URL: https://youtu.be/qKZSVLYnSsY?si=7yEcDjaTsPI82Q_K

Live Demo & Interactive Experience

Live Demo URL: http://mltradingpro.icu

Experience Erkebulan AI Trading — Smart Signal Platform firsthand through the live demo. This interactive demonstration allows you to explore the application's features, test its functionality, and understand its user experience. The live demo showcases the saas application's technical capabilities implemented with PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker and real-world performance, providing a comprehensive understanding of the project's value and potential.

Visual Content Summary

This project includes 1 screenshot and 1 demonstration video plus a live demo, providing comprehensive visual documentation of the saas application. The media content demonstrates the project's technical implementation using PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker and user interface design, showcasing both the visual appeal and functional capabilities of the solution.

Technical Specifications & Architecture

Technology Stack & Implementation

Primary Technologies: PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker

Technology Count: 10 different technologies integrated

Implementation Complexity: High - Multi-technology stack requiring extensive integration expertise

Technology Analysis

PYTHON: High-level programming language known for simplicity and versatility
Telegram bot api: Modern technology component for enhanced functionality and performance
TradingView WebSocket: Modern technology component for enhanced functionality and performance
Pandas: Modern technology component for enhanced functionality and performance
NumPy: Modern technology component for enhanced functionality and performance
Machine Learning: Modern technology component for enhanced functionality and performance
FastAPI: Modern technology component for enhanced functionality and performance
VPS / Linux: Modern technology component for enhanced functionality and performance
GITHUB: Modern technology component for enhanced functionality and performance
Docker: Containerization platform for consistent deployment environments

System Architecture & Design

Architecture Type: Saas Application

Architecture Pattern: Modern Software Architecture with scalable design patterns

Scalability & Performance

Scalability Level: High - Enterprise-level scalability demonstrated

Security & Compliance

Security Level: Commercial-grade security for business applications

Security Technologies: Modern security practices and secure coding standards

Data Protection: Standard data protection practices for user information and application data

Integration & API Capabilities

Live Integration: http://mltradingpro.icu - Active deployment with real-world integration

API Technologies: Python API development with robust data processing capabilities

Integration Readiness: Production-ready for business integration and enterprise deployment

Development Environment & Deployment

Deployment Status: Live deployment with active user base

Next Development Phase: <p>The buyer can easily scale this project by:</p><p><br></p><p>Adding paid subscription via Stripe or Paddle</p><p><br></p><p>Building a simple web dashboard for users</p><p><br></p><p>Expanding the ML model with more training data</p><p><br></p><p>Adding crypto trading signals</p><p><br></p><p>Running ads on Telegram communities</p><p><br></p><p>Adding multi-language support</p><p><br></p><p>Converting current beta-users into paid customers</p><p><br></p><p><br></p><p>This project has strong technical foundations and can be grown into a profitable AI SaaS in a very short time.</p>

Technical Summary

This saas project demonstrates advanced technical implementation using PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker with production-ready deployment. The technical foundation supports immediate business integration with modern security practices and scalable architecture.

Common Questions & Use Cases

How to Build a saas Project Like This

Technology Stack Required: PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker

Development Approach: Build a scalable software solution with modern architecture patterns and user-centered design.

Step-by-Step Development Guide

  1. Planning Phase: Define requirements, user stories, and technical architecture
  2. Technology Setup: Configure PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker development environment
  3. Core Development: Implement main functionality and user interface
  4. Testing & Optimization: Test performance, security, and user experience
  5. Deployment: Deploy to production with monitoring and analytics
  6. Monetization: Implement revenue streams and business model

Best Practices for saas Development

Technology-Specific Best Practices

PYTHON Best Practices: Follow PEP 8 style guide, use virtual environments, implement proper exception handling, and optimize with profiling and caching.
Telegram bot api Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
TradingView WebSocket Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
Pandas Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
NumPy Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
Machine Learning Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
FastAPI Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
VPS / Linux Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
GITHUB Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
Docker Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

General Development Best Practices

  • Code Quality: Write clean, maintainable code with proper documentation
  • Security: Implement authentication, authorization, and data protection
  • Performance: Optimize for speed, scalability, and resource efficiency
  • User Experience: Focus on intuitive design and responsive interfaces
  • Testing: Implement comprehensive testing strategies
  • Deployment: Use CI/CD pipelines and monitoring systems

Use Cases & Practical Applications

Target Audience & Use Cases

Business Use Cases: This project is ideal for businesses looking to implement a ready-made solution. Perfect for entrepreneurs, startups, or established companies seeking saas solutions.

Comparison & Competitive Analysis

Why PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker?

This project uses PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker because:

  • Technology Synergy: The combination of PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker creates a powerful, integrated solution
  • Community Support: Large, active communities for ongoing development and support
  • Future-Proof: Modern technologies with long-term viability and updates

Competitive Advantages

  • Modern Tech Stack: PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker provides competitive technical advantages
  • Ready for Market: Production-ready solution with immediate deployment potential

Learning Resources & Next Steps

Learn PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker

To understand and work with this project, consider learning:

  • PYTHON: Python documentation, tutorials, and community resources
  • Telegram bot api: Official documentation and community learning resources
  • TradingView WebSocket: Official documentation and community learning resources
  • Pandas: Official documentation and community learning resources
  • NumPy: Official documentation and community learning resources
  • Machine Learning: Official documentation and community learning resources
  • FastAPI: Official documentation and community learning resources
  • VPS / Linux: Official documentation and community learning resources
  • GITHUB: Official documentation and community learning resources
  • Docker: Official documentation and community learning resources

Hands-On Learning

Try It Yourself: http://mltradingpro.icu

Experience the project firsthand to understand its functionality, user experience, and technical implementation. This hands-on approach provides valuable insights into real-world application development.

Project Details

Project Type: Saas

Listing Type: Sell

Technology Stack: PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker

What's Included

domain,source_code,data,design,email

Reason for Selling

I am busy with other things and no longer have time to maintain this project.

Technical Architecture

Technology Stack & Architecture

This saas project is built using a modern technology stack consisting of PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker. The architecture leverages these technologies to create a production-ready solution that can handle real-world usage scenarios.

Architecture Type: Saas - This indicates the project follows modern software architecture patterns.

Technical Complexity: Multi-technology stack requiring integration expertise

Business Context & Market Position

Business Model & Revenue Potential

This project represents a saas business opportunity with established market presence. The project shows strong potential for revenue generation based on its user base and market positioning.

Market Validation: With 20-40 monthly visitors, this project has achieved significant market traction and user adoption, indicating strong product-market fit.

Acquisition Opportunity: I am busy with other things and no longer have time to maintain this project. This presents an excellent opportunity for acquisition by someone looking to continue development or integrate the technology into their existing business.

Development Context & Timeline

Project Development Timeline

This project was created on November 19, 2025 and last updated on December 10, 2025. The project has been in development for approximately 0.7 months, representing 22.386934837917 days of development time.

Technical Implementation Effort

Implementation Complexity: High - The project uses 10 different technologies (PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker), requiring extensive integration work and cross-technology expertise.

Next Development Phase: <p>The buyer can easily scale this project by:</p><p><br></p><p>Adding paid subscription via Stripe or Paddle</p><p><br></p><p>Building a simple web dashboard for users</p><p><br></p><p>Expanding the ML model with more training data</p><p><br></p><p>Adding crypto trading signals</p><p><br></p><p>Running ads on Telegram communities</p><p><br></p><p>Adding multi-language support</p><p><br></p><p>Converting current beta-users into paid customers</p><p><br></p><p><br></p><p>This project has strong technical foundations and can be grown into a profitable AI SaaS in a very short time.</p>

Market Readiness & Maturity

Production Readiness: This project is market-ready and has been validated through real user engagement. The codebase is stable and ready for immediate deployment or further development.

Competitive Analysis & Market Position

Market Differentiation

Technology Advantage: This project leverages PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker to create a unique solution in the saas space. The technology stack provides cutting-edge technical implementation that sets it apart from traditional solutions.

Market Opportunity Assessment

Market Traction: With 20-40 monthly visitors, this project has demonstrated clear market demand and user adoption. This level of engagement indicates strong product-market fit and validates the business concept against existing market solutions.

Competitive Advantages

  • Proven Market Success: Established user base and revenue stream provide immediate competitive advantage
  • Technical Maturity: Production-ready codebase with real-world testing and optimization
  • Market Validation: User engagement and revenue data prove market demand
  • Modern Technology Stack: PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker provides scalability, maintainability, and future-proofing

Pricing Information

Offer Price: $9,900 USD

Project Metrics

Average Monthly Visitors: 20-40

About the Creator

Developer: User ID 201063

Project Links

Live Demo: http://mltradingpro.icu

Key Features

  • Built with modern technologies: PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker
  • Proven user base with 20-40 monthly visitors
  • Ready for immediate acquisition

Frequently Asked Questions

What is this project about?

Erkebulan AI Trading — Smart Signal Platform is a saas project that Erkebulan AI Trading — Full AI-Powered Forex Signal SaaSErkebulan AI Trading is an AI-powered Forex signal SaaS combining Telegram bots, ML-based market analysis, automated trade execution, and an adv....

How much does this project cost?

This project is listed for sale at $negotiable USD. There's also an offer price of $9,900 USD. The price reflects the project's current revenue, user base, and market value.

What's included when I buy this project?

domain,source_code,data,design,email You'll receive everything needed to run and maintain the project.

Why is the owner selling this project?

I am busy with other things and no longer have time to maintain this project. This is a common reason for selling successful side projects.

What technologies does this project use?

This project is built with PYTHON,Telegram bot api,TradingView WebSocket,Pandas,NumPy,Machine Learning,FastAPI,VPS / Linux,GITHUB,Docker. These technologies were chosen for their suitability to the project's requirements and the developer's expertise.

What are the project's current metrics?

The project currently has 20-40 monthly visitors. These metrics indicate the project's current performance and potential.

Can I see a live demo of this project?

Yes! You can view the live demo at http://mltradingpro.icu. This will give you a better understanding of the project's functionality and user experience.

How do I contact the project owner?

You can contact the project owner through SideProjectors' messaging system. Click the "Contact" button on the project page to start a conversation about this project.

Is this project still actively maintained?

Since this project is for sale, the current owner may be looking to transfer maintenance responsibilities to the buyer.