Core Devs | Arbitrage Bot

About This Product

This AI Bot is an innovative ERC-20 token project to streamline automated crypto trading. The platform features an Auto Buy Bot that executes trades based on real-time market trends, incorporating take-profit and stop-loss orders to maximize returns and minimize risks. Users can onboard seamlessly via a REST API and securely store their trading preferences.

Integrating a webhook for real-time signals, the Auto Buy Bot triggers trades for users who opt into automation. The system continuously monitors token prices, ensuring timely buy and sell execution to optimize profits without manual effort. Additionally, a Telegram bot allows users to track trades, adjust settings, and refine their strategies efficiently.

The bot combines automation, risk management, and user-friendly tools to enhance crypto trading performance.

Our Contribution

We developed this AI bot using a Microservices Architecture to ensure high scalability, efficiency, and reliability. Each microservice performs a dedicated function for seamless execution:

REST API Service – Manages user onboarding, retrieves trading signals, and verifies balances before executing trades.
Buy Service – Executes buy orders instantly based on real-time signals and user settings.
Price Monitor Service – Tracks token price movements and triggers stop loss/take profit transactions.
Sell Service – Processes sell transactions when profit or loss conditions are met.
Telegram Service – Provides a user-friendly interface to monitor trades, modify settings, and cancel transactions.

Our modular approach ensures that each component operates independently yet seamlessly, offering a robust, high-performance trading experience.

Languages and Technologies

To ensure a fast, secure, and scalable trading platform, we leveraged the following technologies:

Backend Technologies:

Node.js – High-speed, real-time transaction processing.
Express.js – Lightweight framework for efficient API handling.
Ethers.js – Seamless interaction with the Ethereum blockchain.
amqplib (RabbitMQ) – Asynchronous communication for microservices.
Telegraf.js – Telegram bot integration for real-time trade management.
Mongoose – Structured database interactions for efficiency.

Security & API Management:

bcryptjs – Secure user credential encryption.
jsonwebtoken (JWT) – Ensures secure authentication.
dotenv – Manages sensitive environment variables.
Axios – Handles external API requests efficiently.

Database Management:

MongoDB – Flexible storage for user preferences and transactions.
Big.js – Ensures precise financial calculations.

The Problem

Crypto trading requires constant market monitoring, quick decision-making, and timely execution to capitalize on price movements. The client needed a fully automated system to:

Execute trades instantly based on real-time market signals.
Monitor token price fluctuationsand trigger sell orders at optimal moments.
Simplify user onboarding with a REST API for secure registration.
Ensure high-speed transactions for real-time market conditions.
Offer a user-friendly Telegram bot for trade tracking and adjustments.
Handle multiple trades efficiently without security or performance bottlenecks.

Without automation, users risk missing profitable trades or incurring losses due to delays and manual intervention.

The Solution

We developed a scalable, AI-powered trading platform with a microservices-based architecture to meet the client's requirements. This platform ensures reliable execution, real-time tracking, and intuitive user management.

1. Microservices-Based Architecture

REST API Service – Handles user onboarding and trade signal processing.
Buy Service – Executes purchases in real-time based on user-defined parameters.
Price Monitor Service – Tracks market prices and activates sell transactions.
Sell Service – Processes sales when profit/loss conditions are met.
Telegram Bot – Allows users to track and manage trades effortlessly.

2. Real-Time User Interaction via Telegram

We built an intuitive Telegram Bot to enable users to:

Monitor active and completed trades.
Modify trade settings directly from the chat.
Cancel transactions in real time.

3. Scalability, Security & Performance Optimization

To enhance efficiency and security, we implemented:

RabbitMQ for smooth microservices communication and real-time trade processing.
JWT-based authentication and bcryptjs encryption for secure transactions.
Optimized API response times for rapid execution.

This system ensures high-speed automation, secure transactions, and user-friendly trade management without manual effort.

Our Journey So Far

Step 1: Requirement Analysis

We collaborated closely with the client to define core functionalities, security measures, and performance goals, ensuring a structured development roadmap.

Step 2: Microservices Architecture Design

We implemented modular microservices, ensuring scalability and independent functionality for key trading operations.

Step 3: Database Structuring

Designed a MongoDB schema optimized for fast querying and secure data storage of user settings and trade history.

Step 4: Core Services Development

REST API Service – Manages onboarding and trade settings.
Buy & Sell Services – Executes trades seamlessly based on signals.
Price Monitor Service – Ensures real-time tracking of token values.

Step 5: Optimizing Microservice Communication

Implemented RabbitMQ (amqplib) to enhance message queuing, ensuring smooth trade execution without processing delays.

Step 6: Telegram Bot Integration

Developed an interactive Telegram bot for trade monitoring and user control.

Step 7: Testing & Performance Optimization

Conducted extensive testing to fine-tune security, response times, and trade execution accuracy.

Key Features

Automated Buy and Sell Orders – Executes trades instantly based on market signals.
AI-Powered Price Monitoring – Tracks token values in real-time.
Secure API & Authentication – Protects user data and transactions.
Telegram Bot Integration – Enables real-time trade management.
Customizable Trading Preferences – Users can define risk parameters and automate strategies.
Scalable & High-Speed Execution – Handles multiple trades efficiently.
Reliable & Secure Infrastructure – Ensures smooth transactions at all times.

Conclusion

The AI trading bot delivers next-level automation for crypto trading, allowing users to trade smarter, execute faster, and effortlessly optimize profits. With real-time market tracking, AI-driven automation, and seamless Telegram integration, our solution makes trading more efficient, secure, and profitable.

Looking to build an automated crypto trading system? Let’s bring your vision to life! Contact us today!