https://github.com/kjpou1/frostfire_chart_detect

Frostfire Chart Detect is a machine learning project using CNNs for binary image classification to identify price charts vs. non-charts. Built for financial analysis and trading workflows, it features robust datasets, efficient models, and scalable code for real-time chart detection.
https://github.com/kjpou1/frostfire_chart_detect

Last synced: 8 days ago
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Frostfire Chart Detect is a machine learning project using CNNs for binary image classification to identify price charts vs. non-charts. Built for financial analysis and trading workflows, it features robust datasets, efficient models, and scalable code for real-time chart detection.

• Host: GitHub
• URL: https://github.com/kjpou1/frostfire_chart_detect
• Owner: kjpou1
• License: mit
• Created: 2025-01-05T07:49:02.000Z (11 days ago)
• Default Branch: main
• Last Pushed: 2025-01-05T08:23:53.000Z (11 days ago)
• Last Synced: 2025-01-05T09:23:40.100Z (11 days ago)
• Size: 2.93 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# frostfire_chart_detect

Frostfire Chart Detect is a machine learning project focused on using Convolutional Neural Networks (CNNs) to classify images as either price charts or non-charts. The project is designed for financial engineers, traders, and developers looking to integrate automated chart detection into their workflows.

### Features:

- Binary classification: Chart vs. Not Chart.

- Pre-trained and custom CNN models for efficient training.

- Diverse datasets including stock and crypto charts, as well as unrelated images for non-chart classification.

- Scalable and modular codebase for easy integration and experimentation.

### Applications:

- Financial data preprocessing pipelines.

- Real-time chart detection for trading systems.

- Enhanced document analysis for financial reports.