Multi Broker Automated Trading Platform with Built In Risk Controls

An intelligent trading platform designed to automate trade execution across multiple broker accounts. Users can trade through two methods: (1) Subscribe to curated trading channels (Futures/Options) for automated signals, or (2) Create custom webhooks to execute trades based on their own strategies. The platform features secure authentication (OTP, Google OAuth, 2FA), Stripe-based subscription management, personalized risk profiles to minimize losses, and a comprehensive analytics dashboard tracking trade statistics, P&L, success rates, and execution methods. The system monitors orders for 2 minutes post-placement and automatically manages stop-loss and take-profit levels.

The client is a US-based FinTech/Trading Technology company specializing in AI-powered trading automation and execution platforms. This Platform helps traders connect trading signals and strategies with their brokerage accounts, while providing automated execution, risk controls, market research, trade monitoring, and audit trails. The platform supports futures, equities, ETFs, and options, with integrations across multiple brokers and a strong focus on secure, transparent, and controlled trading workflows.

Developing a reliable, automated trading platform presents several complex challenges:

• Ultra-Low Latency Execution: Financial markets move in milliseconds. Ensuring signals (from channels or webhooks) are processed, validated against risk parameters, and executed at the broker instantly without bottlenecks was critical.
• Multi-Broker API Standardization: Integrating various broker APIs—each with unique rate limits, authentication protocols, order formats, and WebSocket behaviors—required building a unified, centralized broker abstraction layer.
• Rigorous Risk Management: Automated trading carries high financial risk. Building a fail-safe risk validation engine that evaluates real-time market data against user-defined exposure controls, position limits, and symbol filters before order placement was technically demanding.
• Robust Order Monitoring: Implementing a fault-tolerant system to monitor unfilled orders for exactly 2 minutes and automatically handle cancellations, along with tracking complex stop-loss and take-profit criteria, required a highly resilient backend architecture.
• Security & Data Privacy: Handling sensitive user financial data and broker API keys necessitated enterprise-grade security, including robust encryption, 2FA, and strict access controls.

Built a full-stack TypeScript application with Express.js backend and React (Vite) frontend. Implemented secure multi-factor authentication, integrated multiple broker APIs using OAuth and API keys, developed a real-time trade execution engine with backend polling for order status monitoring, created a risk validation system that filters trades based on user-defined parameters, integrated Stripe for subscription management, and built a PostgreSQL database to track users, trades, subscriptions, and webhooks. The platform handles two signal sources: channel alerts and user webhooks, both validated against risk profiles before execution.

• Hosting: AWS EC2
• Database: AWS RDS
• Frontend Deployment: CloudFront
• Payment Gateway: Stripe
• Authentication Services: Google OAuth, Custom OTP service
• API Management: RESTful APIs with Express.js

• Democratized Automated Trading: Lowered the barrier to entry for retail traders, allowing them to utilize institutional-grade automation without writing a single line of code.
• Mitigated Emotional Trading: The robust risk management system and automated execution removed the emotional component from trading, helping users stick to their strategies and minimize unnecessary losses.
• Scalable Revenue Stream: The implementation of Stripe-based subscription tiers established a reliable, scalable SaaS revenue model with automated billing and quota enforcement.
• High Platform Engagement: The real-time analytics dashboard and centralized multi-broker management resulted in high daily active usage, as users had a single pane of glass for all their trading activities.
• Reliable Execution: The 2-minute order monitoring and custom webhook integrations provided users with a dependable platform capable of executing complex strategies with high precision.

This Automated Trading platform successfully bridges the gap between sophisticated algorithmic trading and everyday retail investors. By combining a highly intuitive React-based frontend with a powerful, low-latency Express.js backend, the platform delivers a secure, scalable, and feature-rich environment. The successful integration of complex risk management rules, multi-broker APIs, and real-time execution monitoring has resulted in a robust product that not only protects users’ capital but empowers them to trade smarter and more efficiently.