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Automated High-Frequency Trading Data Pipeline Sanitization

trading data-pipeline cryptocurrency log-processing
Prompt
Design a Bash script that processes raw market trading logs from multiple cryptocurrency exchanges, implementing real-time data sanitization and anomaly detection. The script must handle JSON and CSV inputs from Binance, Kraken, and Coinbase API feeds, validate timestamp consistency, remove duplicate entries, and generate a normalized financial data stream. Include error logging, performance metrics tracking, and the ability to handle large datasets (100GB+) with minimal memory overhead.
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Pro
Bash
Finance
Mar 1, 2026

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Use Cases
  • Cleanse trading data before analysis for accuracy.
  • Prepare high-frequency data for machine learning models.
  • Ensure compliance with trading regulations.
Tips for Best Results
  • Implement data validation checks during the sanitization process.
  • Automate the pipeline for real-time data handling.
  • Regularly audit your data for quality assurance.

Frequently Asked Questions

What is a data pipeline sanitization?
It cleans and prepares trading data for analysis.
Why is sanitization important in trading?
It ensures data accuracy and compliance with regulations.
Can this tool handle high-frequency data?
Yes, it is designed for high-frequency trading environments.
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