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Automated High-Frequency Trading Signal Processor

websockets trading microservices real-time processing
Prompt
Design a Node.js microservice that can ingest real-time stock market WebSocket feeds from multiple exchanges, process complex moving average crossover signals using advanced statistical algorithms, and generate automated trade recommendations. The system must handle concurrent data streams, implement robust error handling, and have less than 50ms latency. Include TypeScript type definitions for all market data interfaces and implement a modular architecture that supports pluggable signal detection strategies.
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Pro
JavaScript
Finance
Mar 3, 2026

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Use Cases
  • Traders executing rapid trades based on signals.
  • Firms optimizing trading strategies for speed.
  • Analysts assessing market patterns for trading.
Tips for Best Results
  • Ensure low-latency connections for optimal performance.
  • Regularly backtest strategies against historical data.
  • Monitor market conditions for signal adjustments.

Frequently Asked Questions

What is an automated high-frequency trading signal processor?
It's a system that generates trading signals for high-frequency trading.
How does it generate signals?
It analyzes market data in real-time to identify trading opportunities.
Who can benefit from this tool?
Traders and firms engaged in high-frequency trading.
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