Case Study 2018 — 2021 | Remote

AI Trading & Analytics Platform

Automated trading platform with ML forecasting across multiple cryptocurrency exchanges, achieving 45% ROI improvement.

Product Design & Engineering

Python TensorFlow PyTorch AWS Lambda DynamoDB Binance API Docker
45%
ROI Improvement
Multi
Exchange Support
24/7
Automated Trading
Real-time
ML Models

The Challenge

Build automated trading platform with ML forecasting across multiple cryptocurrency exchanges with high-frequency demands. The system needed to process market data in real-time, make split-second trading decisions, and manage risk across volatile markets.

The Solution

Serverless AWS architecture with TensorFlow/PyTorch models, real-time data processing, and exchange API integrations. The platform continuously trained and deployed ML models for price prediction while executing automated trading strategies with sophisticated risk management.

Technical Implementation

ML Pipeline

  • TensorFlow Price Prediction
  • PyTorch Sentiment Analysis
  • Automated Model Retraining
  • Feature Engineering Pipeline

Serverless Architecture

  • AWS Lambda Functions
  • DynamoDB Time Series
  • SQS Message Queuing
  • CloudWatch Monitoring

Trading Engine

  • Multi-exchange Integration
  • Order Management System
  • Risk Management Rules
  • Portfolio Rebalancing

Results & Impact

The platform achieved 45% ROI improvement through intelligent trading strategies and ML-powered market analysis. Fully automated 24/7 trading eliminated emotional decision-making while the serverless architecture kept operational costs minimal. Multi-exchange support enabled arbitrage opportunities and portfolio diversification.

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