Event-Driven · Real-Time · Fintech

Algorithmic TradingPlatform in Real Time

A distributed, event-driven system for automating trading strategies. It processes market data in real time, generates signals, and automatically executes orders across multiple exchanges.

ReactSpring BootKotlinMongoDBWebSockets
example.com
Algorithmic Trading — main screen
Positioning

Beyond trading

This is not a trading bot. It's a real-time processing and decision automation platform. The same architecture that executes orders in financial markets can be applied to any domain requiring instant reaction to events.

Fintech

Automated execution in financial markets

Logistics

Automatic responses to delivery and routing events

IoT

Real-time processing of sensor signals

Monitoring

Intelligent alerts and live dashboards

Data Pipelines

Event-driven data ingestion and transformation

Context

The limits of manual trading

Manual trading imposes hard physical and human constraints that no trader can overcome: reaction speed, execution consistency, and the ability to monitor multiple markets simultaneously.

Impossible to react in milliseconds to market movements

Inconsistent execution: emotions affect decision-making

Limited capacity: one trader can't monitor 100+ pairs simultaneously

Without automation, every strategy demands constant manual attention

The Solution

Event-driven architecture

A complete platform was designed and built on event-driven architecture, with real-time processing, a configurable strategy engine, and automated multi-exchange execution.

trading-platform.app
main screen
  • Persistent WebSocket connections to live markets
  • Real-time calculation: RSI, SMA, EMA, MACD and more
  • Automatic buy/sell signal generation
  • Fully automated execution — no human intervention
  • Active operations and metrics visualized in real time
  • Live performance tracking per bot and trading pair
  • Bot and strategy configuration from the interface
  • Paper Trading: strategy validation with zero real risk
Architecture

How the system flows

Five stages in sequence — from the market signal to the automatically executed order.

01

Market

Live data

02

WebSocket

Continuous ingestion

03

Engine

Strategies & indicators

04

Signal

Buy or sell

05

Order

Auto-execution

Screenshots

The System in Detail

Engineering

System engineering

Persistent WebSockets: continuous data flow without polling

JWT authentication + granular role-based permissions per user

Exchange API keys encrypted at rest in the database

Paper Trading: strategy validation with zero real risk

Support for 1000+ simultaneous bots with optimized subscriptions

Architecture

Exchanges & integrations

Binance

Integration with Binance API for order execution on the world's largest crypto exchange.

Bitunix

Bitunix support with an architecture ready to plug in any additional exchange.

Paper Trading

Simulation environment to validate strategies risk-free before going live.

Development

My role

Full-stack development and complete system architecture.

  • 01Event-driven architecture design
  • 02Real-time processing engine implementation
  • 03Exchange integrations (Binance, Bitunix)
  • 04Dashboard and visualization development
  • 05Scalability design and performance optimization
Stack

Tech stack

FrontendReact + TypeScript
Real-timeWebSockets
BackendSpring Boot + Kotlin
DatabaseMongoDB
Results

System outcomes

Complete trading process automation: zero manual intervention required

Simultaneous execution of multiple strategies in parallel

Infrastructure built to scale to high-volume operations

Simulation system that eliminates risk during strategy validation

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From event-driven architecture to production dashboard. We design and build the complete solution.